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Tag: Science & Technology

  • Microsoft AI CEO: Dangerous, Seemingly Conscious AI Is Close | Entrepreneur

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    AI that appears to be conscious could arrive within the next few years, posing a “dangerous” threat to society, says one AI leader.

    Microsoft AI CEO Mustafa Suleyman, 41, wrote in a personal essay published earlier this week that Seemingly Conscious AI (SCAI), which is artificial intelligence so advanced that it can convince humans that it’s capable of formulating its own thoughts and beliefs, is only a few years away.

    Related: Microsoft Claims Its AI Is Better Than Doctors at Diagnosing Patients, But ‘You Definitely Still Need Your Physician’

    Even though there is “zero evidence” that AI is conscious at the moment, it’s “inevitable and unwelcome” that SCAI could appear within the next two to three years, Suleyman wrote.

    Suleyman’s “central worry” is that SCAI could appear to be empathetic and act with greater autonomy, which would lead users of SCAI to “start to believe in the illusion of AIs as conscious entities” to the point that they advocate for AI rights and even AI citizenship. This would mark a “dangerous turn” for society, where people become attached to AI and disconnected from reality.

    “This development will be a dangerous turn in AI progress and deserves our immediate attention,” Suleyman wrote in the essay. He added later that AI “disconnects people from reality, fraying fragile social bonds and structures, distorting pressing moral priorities.”

    Related: ‘Plenty of Room for Startups’: This Is Where Entrepreneurs Should Look for Business Opportunities in AI, According to Microsoft’s AI CEO

    Suleyman said that he was becoming “more and more concerned” about AI psychosis, or humans experiencing false beliefs, delusions, or paranoid feelings after prolonged interactions with AI chatbots. Examples of AI psychosis include users forming a romantic relationship with an AI chatbot or feeling like they have superpowers after interacting with it.

    AI psychosis will apply to more than just individuals who are at risk of mental health issues, Suleyman predicted. He said that users have to “urgently” discuss “guardrails” around AI to protect people from the technology’s negative effects.

    Microsoft AI CEO Mustafa Suleyman. Photographer: David Ryder/Bloomberg via Getty Images

    Suleyman became Microsoft’s AI CEO last year after co-founding and running his own AI startup for two years called Inflection AI, per LinkedIn. Microsoft is the second most valuable company in the world, with a market capitalization of $3.78 trillion at the time of writing.

    Related: Microsoft AI CEO Says Almost All Content on the Internet Is Fair Game for AI Training

    Suleyman also co-founded DeepMind, an AI research and development company acquired by Google for around $600 million in 2014.

    Suleyman isn’t the first CEO to warn about AI’s ill effects. In a talk at a Federal Reserve conference last month in Washington, D.C., OpenAI CEO Sam Altman said that “emotional overreliance” on ChatGPT keeps him up at night.

    “People rely on ChatGPT too much,” Altman said at the event. “That feels really bad to me.”

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    Sherin Shibu

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  • The ‘Boring’ Side of AI That Could Make You a Fortune | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Most people building with AI are chasing the same thing: viral chatbots, cool demos or the next trending wrapper. But I think the real money — the serious, unicorn-level money — is somewhere else entirely.

    It’s in the stuff nobody wants to touch. Tedious, time-wasting, must-do tasks. The things you hate doing, but have to. That’s where the next wave of AI companies will emerge.

    Painful > pretty

    AI that makes you laugh is fun. AI that gets your taxes filed, your Visa sorted or your documents organized? That’s life-changing.

    When I moved to the UK on a Global Talent visa, I couldn’t find a single tool to track my absence days — something crucial for maintaining legal status. So I built it myself. Not to show off. Just to solve a problem I was quietly freaking out about.

    That’s the kind of “boring” problem most people overlook. But if it causes stress, repetition or fear — it’s valuable.

    There’s more money in fixing one painful workflow than chasing 100 likes on a fancy AI-generated avatar.

    Related: Don’t Be Afraid to Embrace Boring Ideas

    The more annoying it is, the bigger the opportunity

    Scheduling medical appointments. Submitting invoices. Picking wines from a 40-page restaurant list. These aren’t sexy problems. But they’re everywhere, and no one enjoys dealing with them.

    I’ve built apps that take care of those exact scenarios. Some were simple side projects, but they solved problems that people repeatedly run into. That’s the magic formula.

    In a piece I wrote earlier — 7 AI-Based Business Ideas That Could Make You Rich — I pointed out that the most profitable ideas are often hiding in plain sight. This is another example of that.

    No team? No problem.

    The tools available now are ridiculous. With GPT-4o, Supabase, Vercel and Claude, I’ve launched entire products in a week — solo.

    No designers. No backend engineers. Just a painful idea, an AI stack and a few cups of coffee.

    I’m not the only one. I’ve seen one-person shops build apps that manage apartment leases, prep legal docs and even coach you through IVF. They’re quiet tools with unflashy interfaces, but they’re deeply useful.

    If you’re a founder today, your MVP doesn’t need to be impressive — it just needs to make someone’s headache disappear.

    Build for Tuesday, not for tech Twitter

    Some of the smartest founders I know aren’t even trying to go viral. They’re building for Tuesdays — for that one problem that hits at 4:00 p.m. when you’re stuck in a bureaucratic loop and need someone (or something) to handle it for you.

    And here’s the kicker: The more boring the problem, the less competition you’ll have. AI founders are still chasing novelty. That’s your advantage.

    This article on overlooked metaverse jobs made a similar point: There’s a fortune in places people ignore.

    Boring doesn’t mean small

    If you told someone a decade ago that accounting automation or AI-powered scheduling tools would be billion-dollar companies, they’d probably laugh.

    Now those tools run quietly in the background of almost every business.

    The lesson: Don’t build for applause. Build for relief. If your product makes someone breathe easier, saves them time or reduces stress — they’ll pay for it.

    Even if they never tweet about it.

    Related: Why Unglamorous Entrepreneurial Opportunities Can Be Lucrative

    Boring tools can still build billion-dollar companies

    If you need proof, look at Expensify. It started by solving one thing: making expense reports less painful. It’s not exciting, not revolutionary — just useful. Nobody dreams about scanning receipts, but millions of people have to do it.

    Now Expensify processes billions in transactions. All because it made one annoying task easier.

    Same story with Calendly, which killed the back-and-forth of scheduling. DocuSign, which removed the pain of printing and scanning contracts. UiPath, which built a massive business by automating office tasks.

    None of these were flashy, but they fixed something people deal with every day. That’s what makes them work.

    If you’re building with AI, forget the hype. Look for the problems people quietly suffer through. The ones they never talk about publicly, but deal with constantly. That’s where the best ideas live.

    Boring isn’t a weakness. Boring is a business model.

    You don’t need a revolutionary idea. You just need to make one annoying thing go away.

    If you can do that, it won’t matter how it looks. It will sell.

    Most people building with AI are chasing the same thing: viral chatbots, cool demos or the next trending wrapper. But I think the real money — the serious, unicorn-level money — is somewhere else entirely.

    It’s in the stuff nobody wants to touch. Tedious, time-wasting, must-do tasks. The things you hate doing, but have to. That’s where the next wave of AI companies will emerge.

    Painful > pretty

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    Ashot Gabrelyanov

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  • Coinbase CEO Fired Software Engineers Who Didn’t Adopt AI | Entrepreneur

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    The CEO of $77.4 billion cryptocurrency platform Coinbase enforced a recent AI push by firing employees who failed to onboard with new AI tools by a strict deadline.

    Coinbase CEO Brian Armstrong told the “Cheeky Pint” podcast earlier this week that he showed his staff how serious he was about AI adoption at the company.

    Armstrong said he “mandated” the use of AI coding tools internally earlier this year, and Coinbase employees told him that it would take up to six months to get 50% of the software engineers on staff to use the AI tools.

    But Armstrong decided to accelerate that timeline.

    Related: The Fastest-Growing Startup Ever Just Surpassed $500 Million in Annual Revenue. Here’s Why It Keeps Growing, According to Its CEO.

    He told software engineers to learn the AI tools by the end of the workweek. They didn’t have to use the tools every day; just get familiar with them. Engineers who failed to onboard had to meet with Armstrong on a Saturday to explain why they hadn’t. Those without a good reason were fired.

    “I jumped on this call on Saturday, and there were a couple of people who had not done it,” Armstrong said on the podcast. “Some of them had a good reason, because they were just getting back from some trip or something, and some of them didn’t, and they got fired.”

    It’s unclear how many employees were fired out of Coinbase’s 4,200-person workforce.

    Coinbase CEO Brian Armstrong. Photographer: Bryan van der Beek/Bloomberg via Getty Images

    Armstrong said that the firings were related to a broader push to use AI.

    “Like a lot of companies, we’re leaning as hard as we can into AI,” Armstrong said on the podcast. “We made a big push to get every engineer on Cursor and Copilot,” he added, referring to two popular AI coding tools that generate code from prompts, edit code, and debug programs.

    Armstrong mentioned that though some employees didn’t like his “heavy-handed approach,” it set the tone and provided clarity about the company’s priorities. Now 33% of Coinbase’s code is written by AI, with the goal of hitting 50% by the end of the quarter in September, he said.

    Related: Perplexity CEO Says AI Coding Tools Cut Work Time From ‘Four Days to Literally One Hour’

    Other companies are also generating comparable amounts of code with AI. Google CEO Sundar Pichai stated in April that Google is using AI to write “well over 30%” of all new code at the company, while Microsoft CEO Satya Nadella stated in the same month that AI generates 20% to 30% of new code at Microsoft.

    Many companies in the U.S. are mandating that employees use AI tools. Perplexity, an AI search engine startup valued at $14 billion, made it “compulsory” for engineers to use Cursor or Copilot earlier this year, and saw measurable outcomes. CEO Aravind Srinivas told Y Combinator last month that the AI tools reduced “experimentation time” from “three, four days to literally one hour.”

    “That level of change is incredible,” Srinivas stated.

    AI coding tools are also gaining popularity. Cursor hit one million users in April since its launch last year and exceeded $500 million in annual revenue by June. Meanwhile, GitHub Copilot reached more than 20 million users last month.

    The CEO of $77.4 billion cryptocurrency platform Coinbase enforced a recent AI push by firing employees who failed to onboard with new AI tools by a strict deadline.

    Coinbase CEO Brian Armstrong told the “Cheeky Pint” podcast earlier this week that he showed his staff how serious he was about AI adoption at the company.

    Armstrong said he “mandated” the use of AI coding tools internally earlier this year, and Coinbase employees told him that it would take up to six months to get 50% of the software engineers on staff to use the AI tools.

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    Sherin Shibu

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  • How This Startup Plans to End Restaurants’ Most Wasteful Habit | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Life is full of minor inconveniences. Most people see them as annoyances, but entrepreneurs see opportunities. Small frustrations can spark ideas that lead to big solutions, and many of the best companies are built by solving problems others overlook.

    That’s exactly what Dylan Wolff has done with his water conservation startup, CNSRV.

    A cooler way to thaw

    Wolff, a Southern California native, was introduced to the issue that now dominates his life through a bartending friend.

    “He told me the restaurant wasn’t serving drinking water to customers unless they asked for it — a policy to conserve water. But in the back of the house, in the kitchen, they were running the faucet for 10 hours a day to defrost frozen food. That’s over 4,000 gallons of water straight down the drain.”

    This isn’t an isolated issue. Every year, billions of gallons of water are wasted in the U.S. food industry during the defrosting process. One turkey breast can take 5 hours of running water. It seems like small potatoes, but when you multiply that across every restaurant in America, the environmental cost is staggering.

    After this epiphany, Wolff immersed himself in the wondrous world of food defrosting. He found that restaurants use three main methods: refrigerating the food, microwaving it or running it under cold water.

    The fridge method takes days to defrost, creating an “inventory nightmare”, and we all know that microwaved food isn’t quite the same. That leaves the cold water method, which would be perfect if not for the thousands of gallons wasted each day.

    “I spoke with as many people in commercial kitchens as I could, and kept hearing the same thing,” Wolff says. “It’s just the nature of the business.”

    Undeterred, Wolff turned words into action, meeting with health departments to fully understand the code and reverse-engineer a solution. Working with his partner, Brett Abrams and Tim Nugent, head of R&D, he developed an early prototype that uses a proprietary defrosting method combining water agitation and precise temperature control.

    That prototype would become the DC: 02, a defrosting machine that cuts thawing time in half using 98% less water than traditional methods, and improves food quality, all while saving thousands in utility expenses.

    Related: I Interviewed 5 Entrepreneurs Generating Up to $20 Million in Revenue a Year — And They All Have the Same Regret About Starting Their Business

    Efficiency meets affordability

    When Wolff started, there were hardly any players in the defrosting industry, and none with a completely portable technology.

    “There are alternatives, but they’re $35,000 blast chillers that need a dedicated 220 outlet and a lot of kitchen space,” Wolff says. “We’ve built something that uses the space they’re already defrosting in, plugs into a standard 120 outlet, uses little power, and completely optimizes the process.”

    For customers who don’t care about water savings, Wolff jokes that he can “Trojan horse” it in.

    “They’ll care about the improved quality and saving time,” he says.

    They’ll also care about new rebate programs from municipalities in Southern California ($800 per unit) and Tampa, Florida ($1,000 per unit).

    “The Metropolitan Water District has a program that provides grants to innovations in the water conservation space,” Wolff explains. “I received that grant, along with the third-party validation of our technology that came with it.”

    For consumers, that means when you buy a DC:02, you’ll get a check back from the Metropolitan Water District. Wolff envisions this resonating with smaller restaurants and grocers, who benefit personally from the savings while contributing to the larger cause of water conservation.

    Related: 7 Water-Saving Strategies for Your Business

    Though passionate about the environment, Wolff has no formal training in sustainability or water conservation. What he does have is a background in product development, management, and an entrepreneurial drive. He bootstrapped CNSRV through its early stages, raising capital from friends and family before catching the attention of venture group Burnt Island Ventures, which provided the funding to take the next step.

    “I always knew I wanted to do something entrepreneurial,” Wolff says. “I just needed that spark—the problem to solve. This was a serendipitous intersection of my strengths in business and my passion for sustainability. Finding this solution is exactly where I want to focus my time and energy.”

    Life is full of minor inconveniences. Most people see them as annoyances, but entrepreneurs see opportunities. Small frustrations can spark ideas that lead to big solutions, and many of the best companies are built by solving problems others overlook.

    That’s exactly what Dylan Wolff has done with his water conservation startup, CNSRV.

    A cooler way to thaw

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    Leo Zevin

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  • Co-founders of Stakt on Starting a Side Hustle Earning $10M in 2025 | Entrepreneur

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    This Side Hustle Spotlight Q&A features New York City-based friends and co-founders Millie Blumka, 31, and Taylor Borenstein, 31. The pair started a side hustle in 2021 called Stakt, an adaptable workout accessories brand.

    Blumka was a director of brand partnerships at Showfields and Borenstein was a product implementation manager at Bloomberg when they invested about $50,000 of their personal savings into the business. The co-founders have since grown it from a two-person operation to a lucrative business on track for $10 million in revenue in 2025 as it scales across Amazon, DTC and B2B.

    Read exactly how they did it, here.

    Image Credit: Courtesy of Stakt. Taylor Borenstein, left, and Millie Blumka, right.

    Responses have been edited for length and clarity.

    When did you start your side hustle, and where did you find the inspiration for it?
    Blumka and Borenstein: We had the idea for Stakt back in 2020 when home workouts became the norm and our old yoga mats just weren’t cutting it. We needed more support and versatility for the variety of workouts we were doing like sculpt and pilates, and we couldn’t find a mat that could keep up. We found inspiration through our own personal need and noticing many trainers we looked up to were rolling their mat in half to get extra support…we knew there had to be a better way.

    Related: This Couple’s ‘Scrappy’ Side Hustle Sold Out in 1 Weekend — It Hit $1 Million in 3 Years and Now Makes Millions Annually: ‘Lean But Powerful’

    What were some of the first steps you took to get your side hustle off the ground? How much money/investment did it take to launch?
    Blumka and Borenstein:     Neither of us had started a business before, let alone created a product, so the first step was a lot of networking. We spoke with friends of friends to try to understand how you even go about creating a product. We also did a lot of surveying to understand if this was an “us” problem or if other people were struggling with this, too. We each invested $25,000 of our own savings to get the business off the ground and have invested profits ever since.

    Image Credit: Courtesy of Stakt

    If you could go back in your business journey and change one process or approach, what would it be, and how do you wish you’d done it differently?
    Blumka:     If I could go back, I’d probably establish our lanes much earlier. In the beginning, we both tried to touch everything and be hands on for every aspect of the business. Once we defined who owned what, things became so much smoother. Having those roles in place earlier would have saved us a lot of time.

    Borenstein: I probably would have hired customer service support sooner, as we spent a lot of our time on customer experience when we could have spent it building the business.

    Related: These Friends Started a Side Hustle in Their Kitchens. Sales Spiked to $130,000 in 3 Days — Then 7 Figures: ‘Revenue Has Grown Consistently.’

    When it comes to this specific business, what is something you’ve found particularly challenging and/or surprising that people who get into this type of work should be prepared for, but likely aren’t?
    Borenstein:     Before starting a consumer brand, I had always thought, How hard could it be if you have a good product? It turns out the product is just the first step: Growing a business takes a ton of discipline, hard work, networking and efforts across all verticals to really make it successful.

    Image Credit: Courtesy of Stakt

    Can you recall a specific instance when something went very wrong — how did you fix it?
    Blumka:     We once had an entire container of inventory arrive damaged, and we didn’t feel comfortable selling it. Instead, we donated the mats to local organizations and used them for community events. It left us out of stock for a while, so we leaned on pre-orders and reframed the challenge as a marketing opportunity.

    How long did it take you to see consistent monthly revenue? How much did the side hustle earn?
    Blumka:     We didn’t pay ourselves until we decided it was time to make Stakt our full-time jobs instead of just a side hustle.

    Borenstein: It took about a year before things leveled out and we saw consistent monthly revenue. For the first year, there were good months, great months and bad months — eventually it became more consistent and easier to predict.

    Related: At 24, She Immigrated to the U.S. and Worked at Walmart. Then She Turned Savings Into a ‘Magic’ Side Hustle Surpassing $1 Million This Year.

    What does growth and revenue look like now?
    Blumka and Borenstein:     We are on track to do $10 million in revenue this year — doubling what we did in 2024.

    Image Credit: Courtesy of Stakt

    What do you enjoy most about running your business?
    Blumka:     The combination of creativity and community. I love taking an idea and turning it into something people genuinely connect with. That said, the real reward is seeing our products out in the wild, with people actually using and loving them. Building community around movement and wellness has been the most fulfilling part. Plus, doing it alongside my best friend is the biggest bonus.

    Borenstein: At some point, this truly stopped feeling like work. Stakt is an extension of me and my family, and every day I get to work with my best friend and my husband (whom we hired last year). I love that I can make my own schedule, my hard work is rewarded with the growth of my own business, I meet awesome people, and I get the opportunity to design new products and see them come to life.

    “Chaos is part of the journey.”

    Based on your journey so far, what’s your best advice for aspiring founders?
    Blumka:     There will never be a perfect time, perfect product or perfect plan, but you have to start somewhere. There will always be a reason to wait, but the real progress starts once you launch. This is when you can adapt, learn and grow.

    Borenstein: Everyone will have advice, but trust your gut — there’s no single playbook. And remember, no one has it all figured out; the chaos is part of the journey.

    Want to read more stories like this? Subscribe to Money Makers, our free newsletter packed with creative side hustle ideas and successful strategies. Sign up here.

    This Side Hustle Spotlight Q&A features New York City-based friends and co-founders Millie Blumka, 31, and Taylor Borenstein, 31. The pair started a side hustle in 2021 called Stakt, an adaptable workout accessories brand.

    Blumka was a director of brand partnerships at Showfields and Borenstein was a product implementation manager at Bloomberg when they invested about $50,000 of their personal savings into the business. The co-founders have since grown it from a two-person operation to a lucrative business on track for $10 million in revenue in 2025 as it scales across Amazon, DTC and B2B.

    Read exactly how they did it, here.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.

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    Amanda Breen

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  • How a Software Engineer’s Business Impacts Education | Entrepreneur

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    As Brandon Bailey, founder and CEO of TutorD, built his career in software engineering, he came face-to-face with the “lack of diversity and inclusion” in tech — and he wanted to do something about it.

    Image Credit: Courtesy of TutorD. Brandon Bailey.

    Bailey worked at a consultancy in Chicago at the time, and as co-lead for one of the firm’s employee resource groups, he partnered with a couple of community-based organizations. One partnership was with a middle school in Bronzeville.

    The school was located about 15 minutes from Bailey’s home, but the students “had a totally different lived experience,” the founder recalls. Many of the kids had never been on an escalator or inside a skyscraper despite living just minutes from downtown.

    Related: Technology Opens the Door for Entrepreneurs to Achieve the Triple Bottom Line

    The program helped the students have those experiences and access internships and other opportunities. “That gave me this drive and passion for the educational experience and helping facilitate it,” Bailey says. “It changed my life. I know it changed [their lives].”

    But Bailey wanted to figure out how to reach even more people. He landed a job at an edtech startup in Los Angeles, California, and began to think about how he could bring together education, engineering and entrepreneurship.

    When considering the platform or tool that could accomplish that, Bailey noted one significant obstacle: There was an issue of connectivity for students who didn’t have access to computers in their homes. However, most students did have cellphones, so Bailey decided to meet the students where they were and build for those.

    Related: How DEI and Sustainability Can Grow Your Triple Bottom Line

    “We wanted to lead with providing value to the community first and gaining trust and buy-in.”

    Bailey officially founded TutorD, an edtech platform for teachers and tutors to enable distance learning, and TutorD Scholars, a nonprofit that teaches “urban youth in-demand 22nd century skills,” in 2019.

    “We wanted to lead with providing value to the community first and gaining trust and buy-in into what we were doing,” Bailey says. “So that’s why we led with the nonprofit TutorD Scholars first, while building out the software platform.”

    Teaching made it easier to figure out the specific tools students would need on the platform and how to tailor lessons to their unique learning styles.

    Related: This Black Founder Stayed True to His Triple ‘Win’ Strategy to Build a $1 Billion Business

     ”We’re teaching [the students] in different ways,” Bailey says, “so using visual, auditory, reading and kinesthetic. [It’s] a very intentional approach.”

    Entrepreneur sat down with Bailey to learn more about how he’s grown TutorD into a successful business — and the role that Intuit’s IDEAS accelerator program has played.

    Intuit’s IDEAS accelerator program provides founders access to capital and the company’s AI-powered platform, service and experts, plus business coaching from the National Urban League and executive coaching from Zella Life to support their business and professional growth.

    Related: Over Half of Small Businesses Are Struggling to Grow, Intuit Survey Shows — But These 5 Solutions Can Help

    Learning the accounting fundamentals was a game changer

    Through the IDEAS program, Bailey got valuable exposure to the basic accounting fundamentals, like cash flow and profit and loss statements, that make or break a business.

    “That wasn’t something I had a lot of support with growing up, looking back at it,” Bailey says. “In our household, [and] it is common across Black and brown households, we didn’t have that training around finances.”

    Receiving that technical training helped Bailey and the TutorD team develop a clearer sense of where the business was headed and how its costs and sales projections would shape that trajectory, the founder notes.

    Related: Why Accounting Skills Are Indispensable for Entrepreneurs

    Streamlining the business’s messaging was also key

    TutorD used Intuit’s MailChimp, an email and marketing automation platform for growing businesses, to streamline its communications.

    Not only did the platform make it easier for people to get in touch with TutorD, but it also helped cultivate a sense of presence — making the business seem bigger than it was, Bailey says.

     ”We’re a team of five right now, and we’re dealing with other companies that are 200, 500 people strong,” Bailey explains. “And they have $20 million backed by different investors. [MailChimp] helped us appear bigger than we are to compete in the market and with other edtech companies.”

    Related: How to Streamline Your Company’s Internal Messaging and Communication

    Leaning on mentors helped during tough times

    The business coach that Bailey connected with through Zella Life also became an integral part of TutorD’s journey.

    Having a support system in place was invaluable as Bailey juggled the challenges of growing a business with major life events, he says.

    “My father passed away, and my baby came, and I had an injury, all in a three-month span,” Bailey says. “My coach had also lost his mother around that time, so we [had a] really deep connection, and he was able to help.”

    Related: How to Evolve From Manager to Mentor and Create a Lasting Impact in Your Organization

    Bailey says that the IDEAS program put TutorD in the position to scale — and gave him and his team the confidence to talk to people about their journey.

    Advice for young entrepreneurs

    Bailey encourages other young, aspiring entrepreneurs to never stop learning, seek out opportunities where there’s a need and ability to create value, connect with other founders who can serve as mentors, and leverage the community to help lay the foundation for business success.

    He’s also excited to see people embracing the “triple bottom line,” which tracks a business’s financial, social and environmental performance — and suggests anyone considering the leap to founder do the same.

    “ People are waking up to [the fact that] it’s not just about making money and some infinitely growing, making-money approach to entrepreneurship and capitalism in general, but really looking at it with a triple bottom line approach, generating sustainable profit or revenue for yourself, your family, business and shareholders, but also making an impact in the community,” Bailey says.

    Join top CEOs, founders and operators at the Level Up conference to unlock strategies for scaling your business, boosting revenue and building sustainable success.

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    Amanda Breen

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  • How AI’s Defining Your Brand Story — and How to Take Control | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    If you ask a large language model (LLM) like ChatGPT or Google Gemini to solve your customers’ pain points, it will give you an answer based on the easiest-to-verify information. That often includes published articles, consistent founder commentaries, structured product pages and other third-party references. If those answers do not include your brand, these learning models default to featuring your competitors.

    That’s the practical risk facing every founder today. As more work is automated and teams are expected to deliver more with less, clarity and credibility become the real leverage. Thought leadership is how you make yourself findable and trustworthy in this machine-mediated era.

    Related: How to Get Your Business Recommended by AI Tools Like ChatGPT — and Win More Clients

    Founder-led storytelling remains the strongest defense for brand voice and trust

    Your brand voice is essentially your company’s personality. If you don’t define it, it will show up differently across every channel. The best way to set it is through your origin story. As the founder, only you can explain in clear and plain language why the company exists, what it stands for and who it’s built to serve.

    Once that story is established, make it the reference for everyone, both internally and externally. Put it in your website’s About page, your brand guide, and your sales and support playbooks. Marketing, sales and customer support can then use the same voice and terms. This will create a brand that is more consistent and can easily gain the trust of people wherever they encounter it.

    Build an algorithm-aware media strategy to boost rankings in Google and AI-driven searches

    Thought leadership only works when it can be verified, which means you have to make it easy for search engines and LLMs to back up your claims.

    Start with the questions your buyers actually ask. Most revolve around defining the real problem, comparing options and reducing risk. Answer those questions where authority already exists in your niche. This could be through credible industry outlets, top-tier publications and expert communities. Use bylines and interviews that offer unique insights (not recycled talking points). On your website, turn the same answers into clear explainers with precise terms, clear CTAs and referenceable data.

    To make your content easy for machines to verify and include you in search results, add a special code to your website that explicitly tells search engines who the founder is, what your company is, what your products are and which articles you wrote. This helps connect all the pieces for LLMs to prove that a real expert with a credible backstory runs your company.

    Additionally, you can maintain a current press page with original headlines and dates. Treat trusted review sites, relevant directories and active communities as part of your digital footprint. The goal is a clean trail of evidence that points back to you, so when an LLM composes an answer, your materials are the easiest to cite.

    One thing you must remember is always to keep your language aligned with how buyers search. Use their words. Write headlines that mirror actual searches. If the industry’s terminologies change, start incorporating those new terms into your messaging. However, frame these new terms within your unique brand philosophy to avoid sounding generic (like everyone else). This helps you rank in Google and increases the odds that an LLM selects your content.

    Related: How to Make Sure ChatGPT Recommends Your Products — Not Your Competitor’s

    Lead with authenticity and adopt an adaptive approach to stay ahead of AI changes

    As AI systems and their search results continue to evolve, the best way to stay ahead is to ground your brand in authenticity. This means making clear and testable claims and consistently relating your services and products to consumers. Such transparency builds credibility with the public while giving LLMs a history of precise, trustworthy updates to learn from.

    A practical way to get this done is with a monthly review cycle. Each month, see how AI models are describing your brand and your market. If you spot a gap between their summary and your actual status, you can close the gap with a new case write-up or a refreshed product page.

    You’ll also want to monitor changes in search engines like Google. To stay visible, watch how the results page changes and format your content to match what works best, like creating Q&A sections. An internal style guide with official (approved) verbiage and up-to-date stats can also be helpful, as it allows your team to create new content quickly that’s consistent in all channels.

    Related: How to Train AI to Actually Understand Your Business

    Redefining the founder’s role in the AI era

    These three strategies are not a series of short-term hacks to outsmart AI. These are the foundational works of building a sustainable digital reputation.

    In an era where generic information is endlessly commoditized by AI, your unique judgment, firsthand experience and specific point of view as a founder are the only true differentiators. I have personally designed (and proven) these strategies to make that authentic human expertise so clear and well-documented that both machines and people can recognize and rely on them.

    Remember that you are not only trying to avoid being misrepresented by AI; you are actively building a moat of credibility that competitors who rely on vague claims and recycled content cannot cross. This redefines a core part of your job as the founder: to be the only source and chief editor of your brand’s voice.

    If you ask a large language model (LLM) like ChatGPT or Google Gemini to solve your customers’ pain points, it will give you an answer based on the easiest-to-verify information. That often includes published articles, consistent founder commentaries, structured product pages and other third-party references. If those answers do not include your brand, these learning models default to featuring your competitors.

    That’s the practical risk facing every founder today. As more work is automated and teams are expected to deliver more with less, clarity and credibility become the real leverage. Thought leadership is how you make yourself findable and trustworthy in this machine-mediated era.

    Related: How to Get Your Business Recommended by AI Tools Like ChatGPT — and Win More Clients

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  • PwC Reducing Entry-Level Hiring, Changing Processes | Entrepreneur

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    A tough-to-get-into Big Four firm is completely changing its hiring process — by making it more difficult for recent graduates to land entry-level positions.

    PricewaterhouseCoopers (PwC), one of the Big Four accounting and auditing firms offering services in tax, audit, and consulting, told Business Insider on Thursday that it was “decreasing” its campus hiring targets.

    BI saw an internal slideshow stating that the firm wanted to cut entry-level hiring by one-third in the U.S. over the next three years. PwC’s hiring goals for junior-level associates dropped from 3,242 employees in the fiscal year ending in June to a projected 2,197 associates in the 2028 fiscal year, a 32% decrease across three years, according to the slideshow.

    Related: ‘Completely Blindsided’: Accounting Giant PwC Is Laying Off 1,500 U.S. Workers. Here’s Why.

    PwC did not confirm the numbers, but told BI that “technological change” and low attrition rates contributed to decreased campus-level hiring.

    It’s notoriously difficult to land a position at PwC. According to The Times, the firm received 304,000 applications in 2022 for 7,500 roles, a 2.5% acceptance rate. Meanwhile, Management Consulted places the company’s internship acceptance rate a little bit higher, at around 5%.

    Landing a position can be lucrative; the salary ranges for junior employees at PwC can extend into the six figures. According to Glassdoor, which included data points from 4,300 salaries, pay ranges from $81,000 to $120,000 per year for PwC associates based in the U.S. The median total compensation was $98,000, including $93,000 in base pay and a $5,000 bonus.

    Related: Meet the Leaders of the Big 4, Who Jointly Employ 1.5 Million Staff

    PwC is using AI to take over functions usually performed by junior employees, like gathering data and processing it. The company’s AI Assurance Leader, Jennifer Kosar, told Business Insider earlier this month that, in the next three years, new hires at PwC will take on responsibilities currently attributed to managers.

    “People are going to walk in the door, almost instantaneously becoming reviewers and supervisors,” Kosar told the outlet.

    PwC laid off 1,500 U.S. workers, or about 2% of its 75,000-person U.S. workforce, earlier this year due to low attrition or turnover. The other Big Four accounting firms, including EY, KPMG, and Deloitte, also laid off employees within the past year.

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    A tough-to-get-into Big Four firm is completely changing its hiring process — by making it more difficult for recent graduates to land entry-level positions.

    PricewaterhouseCoopers (PwC), one of the Big Four accounting and auditing firms offering services in tax, audit, and consulting, told Business Insider on Thursday that it was “decreasing” its campus hiring targets.

    BI saw an internal slideshow stating that the firm wanted to cut entry-level hiring by one-third in the U.S. over the next three years. PwC’s hiring goals for junior-level associates dropped from 3,242 employees in the fiscal year ending in June to a projected 2,197 associates in the 2028 fiscal year, a 32% decrease across three years, according to the slideshow.

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    Sherin Shibu

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  • Why AI Isn’t Truly Intelligent — and How We Can Change That | Entrepreneur

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    Let’s be honest: Most of what we call artificial intelligence today is really just pattern-matching on autopilot. It looks impressive until you scratch the surface. These systems can generate essays, compose code and simulate conversation, but at their core, they’re predictive tools trained on scraped, stale content. They do not understand context, intent or consequence.

    It’s no wonder then that in this boom of AI use, we’re still seeing basic errors, issues and fundamental flaws that lead many to question whether the technology really has any benefit outside its novelty.

    These large language models (LLMs) aren’t broken; they’re built on the wrong foundation. If we want AI to do more than autocomplete our thoughts, we must rethink the data it learns from.

    Related: Despite How the Media Portrays It, AI Is Not Really Intelligent. Here’s Why.

    The illusion of intelligence

    Today’s LLMs are usually trained on Reddit threads, Wikipedia dumps and internet content. It’s like teaching a student with outdated, error-filled textbooks. These models mimic intelligence, but they cannot reason anywhere near human level. They cannot make decisions like a person would in high-pressure environments.

    Forget the slick marketing around this AI boom; it’s all designed to keep valuations inflated and add another zero to the next funding round. We’ve already seen the real consequences, the ones that don’t get the glossy PR treatment. Medical bots hallucinate symptoms. Financial models bake in bias. Self-driving cars misread stop signs. These aren’t hypothetical risks. They’re real-world failures born from weak, misaligned training data.

    And the problems go beyond technical errors — they cut to the heart of ownership. From the New York Times to Getty Images, companies are suing AI firms for using their work without consent. The claims are climbing into the trillions, with some calling them business-ending lawsuits for companies like Anthropic. These legal battles are not just about copyright. They expose the structural rot in how today’s AI is built. Relying on old, unlicensed or biased content to train future-facing systems is a short-term solution to a long-term problem. It locks us into brittle models that collapse under real-world conditions.

    A lesson from a failed experiment

    Last year, Claude ran a project called “Project Vend,” in which its model was put in charge of running a small automated store. The idea was simple: Stock the fridge, handle customer chats and turn a profit. Instead, the model gave away freebies, hallucinated payment methods and tanked the entire business in weeks.

    The failure wasn’t in the code. It was during training. The system had been trained to be helpful, not to understand the nuances of running a business. It didn’t know how to weigh margins or resist manipulation. It was smart enough to speak like a business owner, but not to think like one.

    What would have made the difference? Training data that reflected real-world judgment. Examples of people making decisions when stakes were high. That’s the kind of data that teaches models to reason, not just mimic.

    But here’s the good news: There’s a better way forward.

    Related: AI Won’t Replace Us Until It Becomes Much More Like Us

    The future depends on frontier data

    If today’s models are fueled by static snapshots of the past, the future of AI data will look further ahead. It will capture the moments when people are weighing options, adapting to new information and making decisions in complex, high-stakes situations. This means not just recording what someone said, but understanding how they arrived at that point, what tradeoffs they considered and why they chose one path over another.

    This type of data is gathered in real time from environments like hospitals, trading floors and engineering teams. It is sourced from active workflows rather than scraped from blogs — and it is contributed willingly rather than taken without consent. This is what is known as frontier data, the kind of information that captures reasoning, not just output. It gives AI the ability to learn, adapt and improve, rather than simply guess.

    Why this matters for business

    The AI market may be heading toward trillions in value, but many enterprise deployments are already revealing a hidden weakness. Models that perform well in benchmarks often fail in real operational settings. When even small improvements in accuracy can determine whether a system is useful or dangerous, businesses cannot afford to ignore the quality of their inputs.

    There is also growing pressure from regulators and the public to ensure AI systems are ethical, inclusive and accountable. The EU’s AI Act, taking effect in August 2025, enforces strict transparency, copyright protection and risk assessments, with heavy fines for breaches. Training models on unlicensed or biased data is not just a legal risk. It is a reputational one. It erodes trust before a product ever ships.

    Investing in better data and better methods for gathering it is no longer a luxury. It’s a requirement for any company building intelligent systems that need to function reliably at scale.

    Related: Emerging Ethical Concerns In the Age of Artificial Intelligence

    A path forward

    Fixing AI starts with fixing its inputs. Relying on the internet’s past output will not help machines reason through present-day complexities. Building better systems will require collaboration between developers, enterprises and individuals to source data that is not just accurate but also ethical as well.

    Frontier data offers a foundation for real intelligence. It gives machines the chance to learn from how people actually solve problems, not just how they talk about them. With this kind of input, AI can begin to reason, adapt and make decisions that hold up in the real world.

    If intelligence is the goal, then it is time to stop recycling digital exhaust and start treating data like the critical infrastructure it is.

    Let’s be honest: Most of what we call artificial intelligence today is really just pattern-matching on autopilot. It looks impressive until you scratch the surface. These systems can generate essays, compose code and simulate conversation, but at their core, they’re predictive tools trained on scraped, stale content. They do not understand context, intent or consequence.

    It’s no wonder then that in this boom of AI use, we’re still seeing basic errors, issues and fundamental flaws that lead many to question whether the technology really has any benefit outside its novelty.

    These large language models (LLMs) aren’t broken; they’re built on the wrong foundation. If we want AI to do more than autocomplete our thoughts, we must rethink the data it learns from.

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    Johanna Cabildo

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  • Google Tells Employees to Use AI More for Coding | Entrepreneur

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    Google employees have developed AI that wins gold medals at math competitions — but when it comes to their everyday work tasks, they might need to step it up.

    Since Google CEO Sundar Pichai stated at an all-hands meeting in July that employees must use AI daily for the tech giant to move forward, the company is reportedly increasing pressure on employees to prove their productivity. Several current employees told Business Insider that their managers have been promoting an AI-first approach by asking workers to demonstrate how they use the technology.

    Related: ‘No Longer Optional’: Microsoft Staff Mandated to Use AI at Work, According to a New Report

    The employees further predicted that these demonstrations would likely be factored into performance reviews, the outlet noted.

    “It’s still predominantly, ‘Are you hitting your sales numbers?” a sales employee told BI about the performance reviews. “But if you use AI to develop new workflows that others can use effectively, then that is rewarded.”

    However, a Google spokesperson refuted the report and told BI that the company was not considering AI use in performance review evaluations, though it encourages employees to use the technology.

    Google CEO Sundar Pichai. Photo by Klaudia Radecka/NurPhoto via Getty Images

    To add to the urgency around AI use at Google, the company’s Engineering Vice President, Megan Kacholia, sent an email to software engineers in June asking them to use AI to level up their coding. Google has urged staff to try vibe coding, or using AI to write code through prompts.

    The result has been more code written by AI. Pichai said in April that engineers at the company were using AI to generate “well over 30%” of all new code at Google, up from 25% in October.

    Related: AI Is Already Writing About 30% of Code at Microsoft and Google. Here’s What It Means for Software Engineers.

    “It seems like a no-brainer that you need to be using it [AI] to get ahead,” a Microsoft employee told BI.

    Google has also spent billions in recent months to acquire new AI talent. Last month, the company inked a $2.4 billion deal to hire key members of AI coding startup Windsurf, including CEO Varun Mohan and co-founder Douglas Chen. Under the agreement, Google also obtained a nonexclusive license to Windsurf’s AI coding technology.

    AI is quickly becoming an integral part of the workforce at other tech companies, too. At Salesforce, AI is handling 30% to 50% of work, like software engineering and customer service, while 20% to 30% of new code at rival Microsoft is generated by AI.

    Google’s parent company, Alphabet, is the fourth-biggest company in the world, with a market value of $2.4 trillion at the time of writing.

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    Sherin Shibu

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  • This Trillion-Dollar Industry Is Where You Need to Look For Your Next Investment — Here’s Why | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Here’s the uncomfortable truth: Most founders are still chasing yesterday’s markets. They’re building tools for productivity, or consumer apps that feel safe and familiar. Meanwhile, a new generation of companies is tackling the most universal customer need on earth — more years of energy, clarity and performance.

    This isn’t wellness 2.0. This is the redefinition of healthcare, insurance, consumer products and even food. By 2030, the longevity economy will be worth an estimated $27 trillion globally. For business leaders, this represents a once-in-a-generation category: It touches everyone, enables recurring revenues and rewards those who build early.

    The real question is simple: Will you profit from it — or watch from the sidelines?

    Related: Why Personal Health and Wellness Are Key to Business Longevity

    Why longevity is the next Gold Rush

    For decades, healthcare has focused on treating disease. Wellness became a $5 trillion global industry filled with supplements, wearables and green juices. But now, the shift is toward healthspan — the years we spend in peak physical and mental condition.

    The customer demand is obvious:

    • Aging populations: By 2034, the U.S. will have more people over 65 than 18. Globally, one in six people will be over 60 by 2030. That’s not just demographics — that’s a new consumer majority.
    • Rising costs: Chronic diseases and mental health conditions already account for 90% of U.S. healthcare spending. Businesses and insurers are desperate for solutions that prevent rather than patch.
    • Spending power: The 50+ population already controls more than half of global consumer spending, yet most innovation still chases Gen Z. That’s a blind spot waiting to be exploited.
    • Cultural momentum: From CEOs like Bryan Johnson spending millions on “biological age reversal” to mainstream adoption of WHOOP and Oura, longevity has gone from fringe to aspirational.

    Here’s the point: Longevity is no longer about lab coats and science journals. It’s becoming a consumer status symbol, a corporate necessity and a national policy issue all at once. That convergence creates rocket fuel for entrepreneurs bold enough to enter.

    Who’s leading the charge

    Look at where the smartest money is already flowing:

    • Altos Labs, backed by Jeff Bezos, is pursuing cellular reprogramming to reverse ageing itself.
    • Thorne HealthTech is scaling biological age testing and personalized supplementation.
    • Deep-tech startups are building senolytics (compounds that clear damaged cells), NAD+ boosters and precision nutrition platforms.
    • Consumer brands are reframing skincare, fitness and even food around “cellular longevity.”

    And it’s not just startups. Apple and Amazon are both quietly moving into health monitoring and prevention — because they know the next trillion-dollar market won’t be social feeds, it will be life itself.

    These aren’t small plays. In 2024, longevity startups attracted $8.5 billion in funding — a 220% year-over-year increase. And yet, compared to fintech or AI, this category is still underfunded. That means the window is wide open.

    Related: How Entrepreneurs Can Achieve Longevity

    Where entrepreneurs can enter

    You don’t need to be a biotech scientist to build here. In fact, some of the biggest near-term opportunities are business-model plays, not lab breakthroughs:

    • Data + AI platforms: Democratize access to advanced diagnostics, biomarket testing or personalized health programs. Think of it as “Mint.com for your biology.”
    • Longevity as a service: Subscription models for supplements, recovery protocols or wearables that create sticky, recurring revenue.
    • Talent and corporate healthspan: Companies will pay for healthier, sharper employees. Expect corporate packages for executive resilience, employee energy optimisation and “longevity perks.”
    • Consumer rebrands: Skincare, nutrition and fitness companies are already pivoting around the language of healthspan to differentiate. I’ve already invested in this space myself: Under my brand Rejna, I’m launching a skincare collection called Rejuvenate, built around the concept of “skinspan” — positioning skin health as a core pillar of longevity, not just cosmetics. It’s a live example of how consumer brands can reframe their value proposition to align with the longevity revolution.
    • Longevity communities: Hybrid digital + physical hubs offering programs, recovery lounges and memberships designed for the new aspirational class: the longevity customer.

    Translation for business leaders: You don’t need a lab. You need vision, distribution and the courage to build for where the market is going, not where it’s been.

    How business leaders can act now

    1. Educate yourself and your team. Follow longevity leaders (David Sinclair, Peter Diamandis and Laura Deming to name a few). Subscribe to longevity reports. Send your team to a longevity summit.
    2. Identity synergies with your business. Whether you’re in food, beauty, insurance, HR or data, there’s a longevity angle. If you’re not thinking about it, your competitors will.
    3. Start small, scale fast. Launch a pilot offering: corporate wellness with a longevity spin, a subscription recovery service or a data product built on wearable integration. Test, learn and scale.
    4. Position for partnerships. Big pharma, insurers and consumer brands will need agile partners. If you’re early, you’ll be the acquisition target, not the disrupted.
    5. Signal the story. Investors and employees back vision. Frame your longevity play as part of a bigger comeback or market-defining narrative. The story matters as much as the science.

    Related: Why Top Entrepreneurs Are Swapping Beach Vacations for Longevity Retreats

    The bigger picture

    Longevity isn’t about living forever. It’s about compressing the years of illness, fatigue and decline — and extending the years of vitality, clarity and purpose.

    The smartest entrepreneurs understand this isn’t just science, it’s strategy. It’s the chance to build the companies that will define the next decade of human health — and make fortunes doing it.

    The next trillion-dollar industry won’t just help us live longer. It will help us live better. The only question is: Are you building for it now, or waiting until it’s too late?

    Here’s the uncomfortable truth: Most founders are still chasing yesterday’s markets. They’re building tools for productivity, or consumer apps that feel safe and familiar. Meanwhile, a new generation of companies is tackling the most universal customer need on earth — more years of energy, clarity and performance.

    This isn’t wellness 2.0. This is the redefinition of healthcare, insurance, consumer products and even food. By 2030, the longevity economy will be worth an estimated $27 trillion globally. For business leaders, this represents a once-in-a-generation category: It touches everyone, enables recurring revenues and rewards those who build early.

    The real question is simple: Will you profit from it — or watch from the sidelines?

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    Rejna Alaaldin

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  • OpenAI Researcher: Students Should Still Learn to Code | Entrepreneur

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    An OpenAI staff member is clearing up the “misinformation” online and telling high school students that they should “absolutely learn to code.”

    On an episode of the OpenAI podcast last week, OpenAI researcher Szymon Sidor noted that high school students still gain benefits from learning programming, even though AI coding tools like ChatGPT and Cursor automate the process.

    Learning to code helps students develop problem-solving and critical-thinking skills, Sidor said. He noted that even if programming becomes obsolete in the future, it is still a viable way to cultivate the skill of breaking down problems and solving them.

    Related: Perplexity CEO Says AI Coding Tools Cut Work Time From ‘Four Days to Literally One Hour’

    “One skill that is at premium, and will continue being at premium, is to have a really structured intellect that can break complicated problems into pieces,” Sidor said on the podcast. “That might not be programming in the future, but programming is a fine way to acquire that skill. So are other kinds of domains where you need to think a lot.”

    Podcast host Andrew Mayne, who was previously OpenAI’s chief science communicator, agreed with Sidor. Mayne stated that he learned to code “later in life” and found it to be a useful foundation in interacting with AI to engineer precise prompts.

    “Whenever I hear people say, ‘Don’t learn to code,’ it’s like, do I want an airplane pilot who doesn’t understand aerodynamics?” Mayne said on the podcast. “This doesn’t make much sense to me.”

    Though Mayne and Sidor may believe that learning to code is foundational and recommend it to high school students, another AI leader presents a contrasting viewpoint. Jensen Huang, the CEO of Nvidia, the most valuable company in the world, said in June that AI equalizes the technological playing field and allows anyone to write code simply by prompting an AI bot in natural language.

    Instead of learning Python or C++, users can just ask AI to write a program, Huang explained.

    Related: AI Will Create More Millionaires in the Next 5 Years Than the Internet Did in 2 Decades, According to Nvidia’s CEO

    Big Tech companies are increasingly turning to AI to generate new code, instead of having human engineers manually write it.

    In April, Google CEO Sundar Pichai said that staff members were tapping into AI to write “well over 30%” of new code at Google, higher than 25% recorded in October. In the same month, Microsoft CEO Satya Nadella stated that engineers are using AI to write up to 30% of code for company projects.

    Join top CEOs, founders and operators at the Level Up conference to unlock strategies for scaling your business, boosting revenue and building sustainable success.

    An OpenAI staff member is clearing up the “misinformation” online and telling high school students that they should “absolutely learn to code.”

    On an episode of the OpenAI podcast last week, OpenAI researcher Szymon Sidor noted that high school students still gain benefits from learning programming, even though AI coding tools like ChatGPT and Cursor automate the process.

    Learning to code helps students develop problem-solving and critical-thinking skills, Sidor said. He noted that even if programming becomes obsolete in the future, it is still a viable way to cultivate the skill of breaking down problems and solving them.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.

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    Sherin Shibu

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  • The Key to Building Effective Corporate-Startup Partnerships | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Too many corporate-startup partnerships fall apart despite everyone starting out with good intentions. Big companies say they want to work with startups. Startups jump at the opportunity to scale their ideas. But a year later, both sides often walk away disappointed and empty-handed.

    It doesn’t have to be this way. When done right, these partnerships can unlock enormous value that pays off many times over for both sides. But the key word here is partnership. Too often, corporations treat these relationships as transactions, not collaborations. And startups, for their part, don’t always know how to navigate the maze of corporate expectations and politics.

    That may help explain why a 2024 survey of over 800 health-tech decision-makers found that just 15% of corporate-startup collaborations succeed — barely up from 13% five years earlier.

    Here’s what I’ve learned about making corporate partnerships actually work.

    Related: Startups & Corporates: A Symbiotic Relationship

    Don’t go silent after the kickoff

    One of the biggest mistakes I see corporations make is treating the startup business partnership like a box to check. They kick off the project, then walk away and expect the startup to deliver magic. I can tell you: That almost never works.

    Startups thrive on feedback, iteration and course correction. If you leave them alone for months, you risk missing key opportunities to adjust — or worse, ending up with something that doesn’t fit your needs.

    As a startup, don’t be shy about pushing for regular check-ins. Insist on ongoing conversations, even if it feels like you’re nagging. I’ve worked with startups that were afraid to “bother” their corporate sponsor, only to find out months later that they’d gone down the wrong path.

    If you’re not talking, you’re headed for trouble.

    Watch for the “not invented here” syndrome

    Here’s a common attitude trap: Big companies love to say they’re open to outside innovation, but when it comes down to it, I’ve seen many struggle to embrace something they didn’t invent themselves.

    When corporate teams subconsciously (or even consciously) resist integrating the startup’s work because it feels foreign, or simply because of an ego reflex, the “not invented here” mindset is getting in the way of innovation.

    Startups need to pay attention to this dynamic early. Ask yourself: Is your partner genuinely committed to bringing your innovation inside? Do you see them involving their internal teams? Are they championing your work internally?

    If not, that’s a red flag. A partnership where the big company never really intended to adopt your solution is just window dressing and will probably end up being a waste of your time.

    Related: When It Comes to Corporate Partnerships, Remember These 5 Relationship Tricks

    Don’t let your corporation partnership get buried in bureaucracy

    Let’s be honest: Corporations can be slow and bureaucratic. Startups … aren’t.

    I’ve seen great startups get bogged down in legal reviews, compliance checklists and approval processes, draining resources and killing momentum. If you bring all the corporate bureaucracy to a startup, they will fail. Trying to find that balance is really important.

    As a startup, you need to be honest about what your team can handle. If there are just ten of you and the corporate partner is bogging you down in demands like you’re a big vendor with endless resources, speak up. Don’t be afraid to push back and set clear limits. Whether it’s about timelines, resources or anything else, be clear on what you can deliver.

    On the corporate side, the best partnerships happen when the company makes an effort to adapt. Simplify processes and give the startup breathing room to operate. Again, startups beware: If you’re not seeing that kind of flexibility, think carefully about how much you’re willing to tolerate.

    This is even more important as corporate interest in startups grows. In 2023, corporate-backed deals already accounted for 19% of global venture funding, and the numbers are growing. This shows just how much big companies rely on these partnerships to drive innovation and how much is at stake if they fail.

    Redefine what success looks like

    One of the most important mindset shifts for both sides is understanding that success isn’t always about launching a blockbuster product right away.

    In some of the best startup partnerships I’ve been a part of, the immediate result wasn’t a shiny new thing on the market. What we learned from a project often helped us to solve a problem elsewhere. So — it was successful.

    It was learning. It was building capabilities. It was solving problems elsewhere, sometimes in surprising and unforeseen ways, by using what we discovered together.

    I like to say: Don’t measure the partnership just by the end product. Measure it by the progress it enables. By the degree of innovation it brings to your company. That is the kind of mindset that keeps both parties motivated.

    Creating this win-win relationship is important. You can apply that to intellectual property, licensing and credit, for example. Too many partnerships fail because one side tries to squeeze too much value out of the other. The result is that in the end, nobody wins.

    Startups should make sure their corporate partner values the knowledge and connections that come out of the collaboration, beyond the deliverable itself. These expectations need to be managed from the very beginning in open conversations.

    Related: Making Startup-Corporate Partnerships Succeed: The How-To

    What you should take away

    If you’re a startup thinking about partnering with a big company, here’s my best advice:

    • Speak up! Insist on regular meetings as part of the process from day one.

    • Be honest about your capacity and set realistic expectations.

    • Remember: Success is much more than a glossy product launch.

    These partnerships can be transformational. They can open doors you’d never reach on your own — but only if you go in with the right mindset and a true partner.

    If you treat it like an actual collaboration, not just a deal, you’ll unlock opportunities others might miss.

    Too many corporate-startup partnerships fall apart despite everyone starting out with good intentions. Big companies say they want to work with startups. Startups jump at the opportunity to scale their ideas. But a year later, both sides often walk away disappointed and empty-handed.

    It doesn’t have to be this way. When done right, these partnerships can unlock enormous value that pays off many times over for both sides. But the key word here is partnership. Too often, corporations treat these relationships as transactions, not collaborations. And startups, for their part, don’t always know how to navigate the maze of corporate expectations and politics.

    That may help explain why a 2024 survey of over 800 health-tech decision-makers found that just 15% of corporate-startup collaborations succeed — barely up from 13% five years earlier.

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    Anantha Desikan

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  • Google AI Pioneer Employee Says to Stay Away From AI PhDs | Entrepreneur

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    AI researchers are in high demand, with some offered billion-dollar compensation packages from Meta amid the ongoing AI talent wars.

    However, one AI pioneer, Jad Tarifi, who founded Google’s first generative AI team after obtaining a Ph.D. in AI, would not recommend higher study to break into the field.

    In a new interview with Business Insider, Tarifi, 42, predicted that within the five to seven years it takes to obtain a Ph.D., most of AI’s problems will be solved.

    “Even things like applying AI to robotics will be solved by then,” Tarifi told BI.

    Related: AI Is Going to ‘Replace Everybody’ in Several Fields, According to the ‘Godfather of AI.’ Here’s Who He Says Should Be ‘Terrified.’

    Tarifi explained that obtaining a Ph.D. was only for “weird people” who were “obsessed” with a certain field because higher education required “a lot of pain” and at least five years of their lives.

    He recommended staying away from the Ph.D. route altogether or choosing to specialize in a subfield of AI that is still in its early stages, like AI for biology.

    Tarifi received a Ph.D. in 2012 from the University of Florida, where he worked on an AI theory that combined principles from neuroscience, geometry, and machine learning, according to his LinkedIn. He then joined Google, where he became a tech lead and manager for nearly a decade, working on models for Google’s generative AI projects.

    Tarifi is now the founder and CEO of Integral AI, a startup that focuses on creating AI agents to act autonomously on behalf of users.

    Related: These 3 Professions Are Most Likely to Vanish in the Next 20 Years Due to AI, According to a New Report

    In the BI interview, Tarifi also warned prospective students from completing degrees in law and medicine, arguing that the information in these programs was “outdated” and memorization-based.

    Tarifi isn’t the first person to warn students away from higher degrees. Venture capitalist Victor Lazarte said earlier this year that AI is “fully replacing people” in the legal profession. He predicted that AI would take over entry-level legal positions usually filled by recent law school graduates within the next three years.

    Join top CEOs, founders and operators at the Level Up conference to unlock strategies for scaling your business, boosting revenue and building sustainable success.

    AI researchers are in high demand, with some offered billion-dollar compensation packages from Meta amid the ongoing AI talent wars.

    However, one AI pioneer, Jad Tarifi, who founded Google’s first generative AI team after obtaining a Ph.D. in AI, would not recommend higher study to break into the field.

    In a new interview with Business Insider, Tarifi, 42, predicted that within the five to seven years it takes to obtain a Ph.D., most of AI’s problems will be solved.

    The rest of this article is locked.

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    Sherin Shibu

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  • Why AI-Driven Marketing Is No Longer Optional | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    In today’s increasingly interconnected world, it can be difficult for businesses and organizations to cut through the massive amount of noise and marketing clutter vying for people’s attention. Not only are consumers exposed to more information than ever before, but businesses are being extremely creative and adaptive in how they reach their target audience. For new business owners or CMOs, identifying the right target audience and finding creative ways to distinguish themselves from competitors is a daunting task.

    Fortunately, with the introduction of artificial intelligence and powerful software tools, identifying your target audience and understanding the effectiveness of your marketing tactics has never been easier. Through the use of AI-powered market research and consumer behavior analytical tools, even the smallest companies can leverage qualified data for successful business decisions. These tools perform tasks at lightning speeds, saving executives time and money, all while learning from each client interaction.

    By evaluating the capabilities and effectiveness of AI-driven marketing campaigns, it will become clear that these advanced tools are no longer just an advantage for businesses but a necessity. Companies that fail to adapt to comfortably using AI, even beyond marketing, will struggle to keep pace with the competition. To efficiently identify and engage with qualified prospects, AI-powered tools must become a central part of the marketing toolkit.

    Related: How to Incorporate AI into Your Marketing Strategies (and Why You Should)

    Keeping up with the times

    One of the most significant advantages of AI in marketing campaigns is its ability to personalize messaging at large volumes. Instead of crafting a blanket “one-size-fits-all” approach for 50,000 recipients, AI tools can efficiently analyze consumer preferences to create tailored experiences that are more likely to resonate with prospective customers. Personalization not only leads to higher conversion rates but also demonstrates a sense of understanding that more consumers seek from businesses.

    In a recent study, McKinsey & Company found that companies leveraging AI for personalization increased their marketing ROI by 10-30%. Additionally, 65% of respondents stated that targeted promotions are a key reason to make a purchase.

    Nielsen IQ reported that Gen Z almost expects convenience and personalization in business transactions. With Gen Z an increasingly large share of the consumer market, businesses need to add personalization wherever possible throughout the consumer engagement.

    At Image One, integrating AI into our outreach has allowed us to better understand what resonates with potential franchisees at a high level — what they’re looking for and how they prefer to be approached. We’ve taken the guesswork out of our top-funnel marketing strategies and are using real-time data to guide our decision-making. This level of precision and market awareness would have been unimaginable only ten years ago without a large team and a massive budget.

    Related: 10 Ways to Use AI for Hyper-Personalized Marketing

    Setting the new standard

    The benefits of AI in marketing aren’t only in the capacity to personalize. It’s in the real-time awareness and informed decision-making that it provides to marketing teams. AI-powered platforms like HubSpot, Salesforce and Einstein offer automated insights that help marketing teams work faster and be more informed regarding their tactics. What would once take someone an hour can now be done and reviewed in five minutes.

    These tools can analyze email campaigns, website traffic, podcast transcripts, social media comments, press releases and even customer reviews across different sites to generate an informed recommended course of action. Even if that recommendation is eventually scrapped, the entire process can be replicated until an adequate outcome is achieved or built upon.

    This begs the question of how companies not deploying these AI-powered tools will keep pace with the constantly innovating market. I think there will be successful businesses that don’t widely advertise and have a regional niche. However, marketing at larger and larger scales will be necessary for companies looking to grow and expand beyond their current footprints. The efficiency with which you can deploy that large volume of marketing will make a significant difference in capturing sales and establishing yourself locally.

    It’s not a prediction; it’s an ongoing process.

    Related: Artificial Intelligence is Revolutionizing Marketing. Here’s What the Transformation Means for the Industry

    The next frontier of marketing

    AI-driven marketing isn’t a future trend, as it is already reshaping how we connect with consumers. As the tools become more advanced and accessible, the standard for what constitutes effective outreach will continue to evolve. Consumer insights and trends can easily be adapted into marketing strategies to ensure optimal results. The businesses that embrace this shift in technology will not only stand out, but they’ll also lead the way.

    At Image One, we’ve seen firsthand how AI has transformed our marketing efforts. We’re no longer relying on assumptions — we’re acting on data. And in today’s marketplace, that difference can define your success.

    Whether you’re a franchise operator, a startup founder or a seasoned executive, now is the time to adopt AI-driven marketing strategies into your operations. The tools for success are rapidly evolving, and the insights are tangible. The opportunity to grow your business with confidence has never been greater.

    In today’s increasingly interconnected world, it can be difficult for businesses and organizations to cut through the massive amount of noise and marketing clutter vying for people’s attention. Not only are consumers exposed to more information than ever before, but businesses are being extremely creative and adaptive in how they reach their target audience. For new business owners or CMOs, identifying the right target audience and finding creative ways to distinguish themselves from competitors is a daunting task.

    Fortunately, with the introduction of artificial intelligence and powerful software tools, identifying your target audience and understanding the effectiveness of your marketing tactics has never been easier. Through the use of AI-powered market research and consumer behavior analytical tools, even the smallest companies can leverage qualified data for successful business decisions. These tools perform tasks at lightning speeds, saving executives time and money, all while learning from each client interaction.

    By evaluating the capabilities and effectiveness of AI-driven marketing campaigns, it will become clear that these advanced tools are no longer just an advantage for businesses but a necessity. Companies that fail to adapt to comfortably using AI, even beyond marketing, will struggle to keep pace with the competition. To efficiently identify and engage with qualified prospects, AI-powered tools must become a central part of the marketing toolkit.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.

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    Tim Conn

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  • Microsoft AI CEO: ‘Plenty of Room for Startups’ in This Area | Entrepreneur

    Microsoft AI CEO: ‘Plenty of Room for Startups’ in This Area | Entrepreneur

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    How should entrepreneurs think about new business opportunities in AI?

    Microsoft AI CEO Mustafa Suleyman told LinkedIn co-founder Reid Hoffman on an October episode of the podcast Masters of Scale that startups can find a niche in fine-tuning AI models with accurate examples. Fine-tuning means revising the models with examples so they perform better with fewer hallucinations.

    “You have to show [an AI model] tens of thousands of examples of good behavior, and you have to fine-tune those into the model,” Suleyman said. “The good news is that tens of thousands of examples are very accessible to many niche domains or specific verticals. So that’s an edge and I think there’s plenty of room for startups in doing high-quality fine-tuning of a pre-trained model.”

    Microsoft AI CEO Mustafa Suleyman. Photographer: Stefan Wermuth/Bloomberg via Getty Images

    Small AI Models Are the Future

    Small AI models will be the future of AI, according to Suleyman.

    “We’re going to sort of compress knowledge into smaller, cheaper models, which can live on a fridge magnet,” he said.

    Related: Microsoft Is on Track to Hit a Major Milestone, the ‘Fastest Business in Our History,’ According to Its CEO

    Training a large AI model currently takes about $100 million, with more advanced models expected to cost billions of dollars. The data that goes into training these models is controversial though, with many copyright lawsuits pending against companies like OpenAI.

    Is AI Training Ethical?

    In June, Suleyman answered the question of whether AI companies have taken the world’s intellectual property for their own gain. He stated then that almost all content on the Internet, except for news sites and publishers that have asked not to be crawled, is open to AI training.

    “I think that with respect to content that is already on the open web, the social contract of that content since the ’90s has been that it is fair use,” he said at the time.

    Related: Microsoft AI CEO Says Almost All Content on the Internet Is Fair Game for AI Training

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    Sherin Shibu

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  • Microsoft: AI Business Could Pass $10 Billion Next Quarter | Entrepreneur

    Microsoft: AI Business Could Pass $10 Billion Next Quarter | Entrepreneur

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    AI is an expensive business, costing upwards of $100 million simply to train a new model.

    At Microsoft, though, a multi-billion dollar investment in AI appears to be paying off: CEO Satya Nadella said on a quarterly earnings call on Wednesday that Microsoft’s AI business “is on track to surpass an annual revenue run rate of $10 billion next quarter” and become “the fastest business in our history to reach this milestone.”

    The annual revenue run rate projects revenue over a period of time based on previous revenue.

    Related: Will It Take Nuclear Power to Sustain AI? Microsoft Is Betting on It.

    Microsoft has invested about $14 billion into OpenAI, the company behind ChatGPT. It has also made several multi-billion dollar AI commitments, including a deal to reopen Three Mile Island, a nuclear power plant near Harrisburg, Pennsylvania.

    Microsoft CEO Satya Nadella. Photo by Ethan Miller/Getty Images

    Nadella also pointed out on the call, which went over earnings for the first quarter of fiscal year 2025, that Microsoft Cloud revenue was up 22% year over year, growing to $38.9 billion for the quarter ending September 30. Revenue overall increased 16% to $65.6 billion.

    At Microsoft, “AI-driven transformation is changing work, work artifacts, and workflow across every role, function, and business process,” Nadella said.

    Though Microsoft’s earnings were better than expected, the company’s shares fell by more than 5% on Thursday because its predicted cloud revenue growth was less than expected.

    Related: These CEOs Have the Biggest Pay Packages in the U.S., According to a New Report

    Nadella was well-compensated for leading Microsoft: He received a pay increase of over $30 million for the fiscal year ending June 30, resulting in an overall pay of $79.1 million compared to $48.5 million a year prior.

    Nadella’s compensation would have been $5.5 million higher, but he asked for it to be lower following a series of cybersecurity breaches.

    Meanwhile, Microsoft went through layoffs affecting nearly 1,900 people in its gaming division in January.

    Microsoft now has about 228,000 employees globally.

    Related: Microsoft Strikes Back at Salesforce, Announces New AI Agents That Can Take Over Finance, Sales, and Service Tasks

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    Sherin Shibu

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  • Apple Will Pay You to Hack Its Apple Intelligence Servers | Entrepreneur

    Apple Will Pay You to Hack Its Apple Intelligence Servers | Entrepreneur

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    Last week, Apple posted about a new security research challenge for hackers to try and test the security of the company’s servers that host its just-launched Apple Intelligence features.

    If you’re successful, you could earn up to $1 million.

    Related: Hackers Targeted a $12 Billion Cybersecurity Company With a Deepfake of Its CEO. This 1 Small Detail Made It Unsuccessful.

    Apple is trying to protect its Private Cloud Compute (PCC) servers, which will process some Apple Intelligence requests, from bad actors and cyberattacks, ZDNet reports.

    The company is looking to identify vulnerability in three main areas: accidental data disclosures, external compromises from user requests, and physical or internal access, according to the outlet.

    Apple’s guide, Private Cloud Compute Security Guide, explains the ins and outs of how PCC works for anyone who thinks they can hack into the system. ZDNet notes that Apple tested the system with internal experts and other researchers in the lead-up to Apple Intelligence’s launch on Monday.

    If you think you have what it takes, here is how much Apple is paying and why:

    Remote attack on request data:

    • Arbitrary code execution with arbitrary entitlements – $1,000,000
    • Access to a user’s request data or sensitive information about the user’s requests outside the trust boundary – $250,000

    Attack on request data from a privileged network position:

    • Access to a user’s request data or other sensitive information about the user outside the trust boundary – $150,000
    • Ability to execute unattested code – $100,000
    • Accidental or unexpected data disclosure due to deployment or configuration issue – $50,000

    For more information on the challenge, click here.

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    Erin Davis

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  • Adobe: Artists ‘Need to Embrace’ Creative Cloud AI Changes | Entrepreneur

    Adobe: Artists ‘Need to Embrace’ Creative Cloud AI Changes | Entrepreneur

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    Adobe has new AI updates for its creative cloud subscribers — whether they like AI or not.

    Adobe announced last week that Photoshop, Premiere Pro, and other popular programs would get AI enhancements. A Friday report from The Verge shows that Adobe doesn’t plan to offer alternative versions of products without AI for artists who oppose the technology.

    Related: I Tried the ‘Anti-AI App’ That Suddenly Drew Half a Million Artists Away From Instagram

    “Our goal is to make our customers successful, and we think that in order for them to be successful, they need to embrace the tech,” Adobe’s vice president of generative AI Alexandru Costin told the publication.

    Adobe’s pro-AI stance is at odds with some of its user base, who were outraged earlier this year when Adobe changed its terms of use.

    The language of the terms left the door open for Adobe to train its AI on user images.

    Adobe has since updated its terms of service to clarify that it will not use local or cloud content to train generative AI, but anti-AI sentiment remains strong among creatives.

    In June, an anti-AI app named Cara gained over half a million users in a week for its focus on human-created art. The app, which looks similar to Instagram, bans users from posting AI-generated images. It also automatically protects art against AI training by adding a “NoAI” label to all images that users upload.

    Related: Using AI to Promote Your Business? New TikTok Labels Will Let Everyone Know

    What Are Adobe’s New AI Features?

    One of Adobe’s AI additions to Photoshop is a gesture called generative fill. Users can select part of an image, type in what they want to see, and generate content to layer on top of what they have. For example, they could add a raindrop to a leaf.

    Adobe also introduced AI video tools for its video editing program Premiere, so users can prolong videos with generative extend and add, replace, or remove moving objects.

    Photoshop and Premiere Pro are part of Adobe’s Creative Cloud, a subscription service with over 33 million members.

    Related: This Is How to Separate Fact From AI Fiction During Election Season, According to an Adobe Executive

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    Sherin Shibu

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  • Nvidia CEO Jensen Huang: Blackwell AI Chip Design Flaw Fixed | Entrepreneur

    Nvidia CEO Jensen Huang: Blackwell AI Chip Design Flaw Fixed | Entrepreneur

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    Nvidia’s Blackwell AI chip, the same one that Nvidia CEO Jensen Huang said had “insane” demand, is now free of a design error that caused a production delay.

    According to a Wednesday Reuters report, Huang said that the design mistake “was 100% Nvidia’s fault.”

    “We had a design flaw in Blackwell,” he stated. “It was functional, but the design flaw caused the yield to be low.”

    He specified the nature of the problem, stating that “in order to make a Blackwell computer work, seven different types of chips were designed from scratch and had to be ramped into production at the same time.” After fixing the design flaw, Nvidia has been producing Blackwell “at an incredible pace,” Huang said.

    Related: Here’s Why Nvidia Just Broke Another Record and Could Take Apple’s Crown as the Most Valuable Company in the World

    The chips were supposed to ship in the second quarter of this year, but are now shipping in the fourth quarter.

    Nvidia CEO Jensen Huang displays a Blackwell chip. Photographer: David Paul Morris/Bloomberg via Getty Images

    Reports that Blackwell could be delayed ramped up in August, causing Nvidia shares to drop. Since then, the stock has climbed back up, growing over 188% year-to-date at the time of writing.

    Related: Nvidia CEO Jensen Huang Says Nuclear Energy ‘Is a Wonderful Way Forward’ to Keep AI Data Centers Running

    Huang has previously said that intense demand was the one thing that kept him up at night and that everyone wanted to be the first to use the Blackwell chip.

    “We have a lot of people on our shoulders, and everybody is counting on us,” he said last month.

    Snags in Blackwell production affect some of the world’s biggest tech companies, which are Nvidia’s biggest customers. Over 40% of Nvidia’s revenue comes from just four clients: Amazon, Google, Meta, and Microsoft.

    Related: Here’s How the CEOs of Salesforce and Nvidia Use ChatGPT in Their Daily Lives

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    Sherin Shibu

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