ReportWire

Tag: Information technology

  • Trump signs executive order for AI project called Genesis Mission to boost scientific discoveries

    [ad_1]

    President Donald Trump is directing the federal government to combine efforts with tech companies and universities to convert government data into scientific discoveries, acting on his push to make artificial intelligence the engine of the nation’s economic future.

    Trump unveiled the “Genesis Mission” as part of an executive order he signed Monday that directs the Department of Energy and national labs to build a digital platform to concentrate the nation’s scientific data in one place.

    It solicits private sector and university partners to use their AI capability to help the government solve engineering, energy and national security problems, including streamlining the nation’s electric grid, according to White House officials who spoke to reporters on condition of anonymity to describe the order before it was signed. Officials made no specific mention of seeking medical advances as part of the project.

    “The Genesis Mission will bring together our Nation’s research and development resources — combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites — to achieve dramatic acceleration in AI development and utilization,” the executive order says.

    The administration portrayed the effort as the government’s most ambitious marshaling of federal scientific resources since the Apollo space missions of the late 1960s and early 1970s, even as it had cut billions of dollars in federal funding for scientific research and thousands of scientists had lost their jobs and funding.

    Trump is increasingly counting on the tech sector and the development of AI to power the U.S. economy, made clear last week as he hosted Saudi Arabia’s Crown Prince Mohammed bin Salman. The monarch has committed to investing $1 trillion, largely from the Arab nation’s oil and natural gas reserves, to pivot his nation into becoming an AI data hub.

    For the U.S.’s part, funding was appropriated to the Energy Department as part of the massive tax-break and spending bill signed into law by Trump in July, White House officials said.

    As AI raises concerns that its heavy use of electricity may be contributing to higher utility rates in the nearer term, which is a political risk for Trump, administration officials argued that rates will come down as the technology develops. They said the increased demand will build capacity in existing transmission lines and bring down costs per unit of electricity.

    Data centers needed to fuel AI accounted for about 1.5% of the world’s electricity consumption last year, and those facilities’ energy consumption is predicted to more than double by 2030, according to the International Energy Agency. That increase could lead to burning more fossil fuels such as coal and natural gas, which release greenhouse gases that contribute to warming temperatures, sea level rise and extreme weather.

    The project will rely on national labs’ supercomputers but will also use supercomputing capacity being developed in the private sector. The project’s use of public data including national security information along with private sector supercomputers prompted officials to issue assurances that there would be controls to respect protected information.

    [ad_2]

    Source link

  • Alibaba’s cloud business revenue soars 34% driven by AI boom

    [ad_1]

    HONG KONG (AP) — China’s Alibaba Group posted a 34% jump in revenue from its cloud business in its most recent quarter, buoyed by the boom in artificial intelligence.

    But overall revenue at the Chinese tech group for the July-September quarter increased by just 5% year-on-year to 247.8 billion yuan ($35 billion), and profit fell 52% from last year, as a fierce price war in China’s e-commerce landscape — including in the food delivery segment — eroded into short-term profitability. JD.com, its e-commerce rival, reported a 55% net profit drop in the same quarter.

    Alibaba started out in e-commerce and later turned its focus to cloud and AI technologies. Earlier this year, it pledged to invest at least 380 billion yuan ($53 billion) in three years in advancing its cloud computing and AI infrastructure.

    CEO Eddie Wu said in prepared remarks Tuesday that the group’s “significant” investments in AI had helped its revenue growth. The 34% cloud revenue growth was faster than the 26% increase in the April-June quarter.

    The company added that demand for AI was “accelerating” and its “conviction in future AI demand growth is strong.” It also will probably end up investing more than the planned 380 billion yuan in AI to meet surging demand, Alibaba said Tuesday.

    On Monday, Alibaba announced that its upgraded AI chatbot Qwen — which aims to rival OpenAI’s ChatGPT — recorded 10 million downloads in the first week after its public launch.

    The company’s Hong Kong shares gained 2% Tuesday and just before the opening bell on the New York Stock Exchange, shares rose 2.4%. Shares have gained more than 90% so far this year, fueled by optimism over its progress in AI.

    Chinese companies have been gaining ground in AI since tech startup DeepSeek upended the industry, raising doubts over the dominance in the sector of its U.S. rivals.

    Recent earnings reports by other Chinese tech giants have been mixed.

    Tencent, which rivals Alibaba in AI, this month reported a strong 15% year-on-year gain in its revenue for the July-September quarter. But Baidu, which also competes with Alibaba in AI development, recorded a 7% drop in revenue in the same quarter compared to last year.

    Concerns among investors and analysts over an overblown AI bubble have also been growing, although strong earnings at Nvidia last week slightly eased worries.

    [ad_2]

    Source link

  • OpenAI and Taiwan’s Foxconn to partner in AI hardware design and manufacturing in the US

    [ad_1]

    TAIPEI, Taiwan (AP) — OpenAI and Taiwan electronics giant Foxconn have agreed to a partnership to design and manufacture key equipment for artificial intelligence data centers in the U.S. as part of ambitious plans to fortify American AI infrastructure.

    Foxconn, which makes AI servers for Nvidia and assembles Apple products including the iPhone, will be co-designing and developing AI data center racks with OpenAI under the agreement, the companies said in separate statements on Thursday and Friday.

    The products Foxconn will manufacture in its U.S. facilities include cabling, networking and power systems for AI data centers, the companies said. OpenAI will have “early access” to evaluate and potentially to purchase them.

    Foxconn has factories in the U.S., including in Wisconsin, Ohio and Texas. The initial agreement does not include financial obligations or purchase commitments, the statements said.

    The Taiwan contract manufacturer, formally known as Hon Hai Precision Industry Co., has been moving to diversify its business, developing electric vehicles and acquiring other electronics companies to build out its product offerings.

    A sleek Model A EV made by the group’s automaking affiliate Foxtron was on display at Friday’s event.

    “This year, Model A. ‘A’,’ for affordable,” said Jun Seki, chief strategy officer for Foxconn’s EV business.

    The tie-up with OpenAI can also help Taiwan, a self-governed island claimed by China, to build up its own computing resources, said Alexis Bjorlin, a Nvidia vice president.

    “This allows Taiwan’s domain knowledge and key technology data to remain local and ensure data security,” she said.

    “This partnership is a step toward ensuring the core technologies of the AI era are built here,” Sam Altman, CEO of San Francisco-based OpenAI, said in the statement. “We believe this work will strengthen U.S. leadership and help ensure the benefits of AI are widely shared.”

    OpenAI has committed $1.4 trillion to building AI infrastructure. It recently entered into multi-billion partnerships with Nvidia and AMD to expand the extensive computing power needed to support its AI models and services. It is also partnering with US chipmaker Broadcom in designing and making its own AI chips.

    But its massive spending plans have worried investors, raising questions over its ability to recoup its investments and remain profitable. Altman said this month that OpenAI, a startup founded in 2015 and maker of ChatGPT, is expected to reach more than $20 billion in annualized revenue this year, growing to “hundreds of billions by 2030.”

    Foxconn’s Taiwan-listed share price has risen 25% so far this year, along with the surge in prices for many tech companies benefiting from the craze for AI.

    The Taiwan company’s net profit in the July-September quarter rose 17% from a year earlier to just over 57.6 billion new Taiwan dollars ($1.8 billion), with revenue from its cloud and networking business, including AI servers, contributing the most business.

    “We believe the importance of the AI industry is increasing significantly,” Liu said during Foxconn’s earnings call this month.

    “I am very optimistic about the development of AI next year, and expect our cooperation with major clients and partners to become even closer,” said Liu.

    ___

    Chan reported from Hong Kong

    [ad_2]

    Source link

  • Bubble fears ease but investors still waiting for AI to live up to its promise

    [ad_1]

    Fears about the artificial intelligence boom turning into an overblown bubble have diminished for now, thanks to a stellar earnings report from Nvidia that illustrated why its indispensable chips transformed it into the world’s most valuable company.

    But that doesn’t mean the specter of an AI bubble won’t return in the months and years ahead as Big Tech gears up to spend trillions of dollars more on a technology the industry’s leaders believe will determine the winners and losers during the next wave of innovation.

    For now, at least, Nvidia has eased worries that the AI craze propelling the stock market and much of the economy for the past year is on the verge of a massive collapse.

    If anything, Nvidia’s quarterly report indicated that AI spending is picking up even more momentum. The highlights, released late Wednesday, included quarterly revenue of $57 billion, a 62% increase from the same time last year. That sales growth was an acceleration from the 56% increase in year-over-year revenue from the May-July quarter.

    What’s more, Nvidia forecast revenue of $65 billion for the current quarter covering November-January, which would be a 65% year-over-year increase.

    Given Nvidia’s forecasts, “it is very hard to see how this stock does not keep moving higher from here,” according to analysts at UBS led by Timothy Arcuri. The UBS analyst also said the “AI infrastructure tide is still rising so fast that all boats will be lifted.”

    Nvidia’s numbers are viewed through a window that extends far beyond the Santa Clara, California, company’s headquarters because its products are needed by a wide range of companies — including Big Tech peers like Microsoft, Amazon, Alphabet and Meta Platforms — to build data centers that are becoming known as AI factories.

    “AI spending isn’t just holding up, it’s accelerating. That’s exactly what the market needed to see,” said Jake Behan, head of capital markets for investment firm Direxion.

    The numbers initially lifted Nvidia’s stock price by as much as 5% in Thursday’s trading, while other tech stocks tied to the AI spending frenzy also got a boost. But Nvidia’s shares and other tech stocks reversed course later in the session as investors found other issues besides AI, such as the government’s latest jobs report and the future direction of interest rates.

    Even with a 3% drop in its stock price amid the broader market decline, Nvidia remains valued at $4.4 trillion, more than 10 times its valuation three years ago when OpenAI released its ChatGPT chatbot, triggering the biggest technological shift since Apple released the iPhone in 2007.

    Nvidia’s rapid rise has turned its CEO Jensen Huang into the chief evangelist for the AI revolution and he sought to use his bully pulpit during a late Wednesday conference call with industry analysts to make a case that the spending to make technology with humanlike intelligence is just beginning.

    “There’s been a lot of talk about an AI bubble. From our vantage point, we see something very different,” Huang insisted while celebrating “depth and breadth” of Nvidia’s growth.

    Huang is hardly a lone voice in the wilderness. A recent report from Gartner Inc. estimates that worldwide spending on AI will rise to more than $2 trillion next year, a 37% increase from the nearly $1.5 trillion that the research firm expects to be spent this year.

    But it remains to be seen if all that money pouring into AI will actually produce all the profits and productivity that proponents have been promising. That leaves the question unanswered if all the real spending that’s happening will be worth it.

    The most recent survey of global fund managers by Bank of America showed a record percentage of investors saying companies are “overinvesting.”

    Big Tech is already so profitable that many of the most successful finance their spending sprees with their ongoing stream of revenue and cash hoards in their bank accounts. But some companies, such as Meta Platforms and Oracle, are relying more heavily on debt to fund their AI ambitions — a strategy that has raised enough alarms among investors that their stock prices have plunged more dramatically than their peers in recent weeks.

    Both Meta and Oracle have suffered more than 20% declines in their stock prices since late October.

    But other Big Tech powerhouses leading the way in AI remain just behind Nvidia and iPhone maker Apple in the rankings of the most valuable companies. Alphabet, Microsoft and Amazon boast market values currently ranging from $2.3 trillion to $3.6 trillion.

    “It is true that valuations are high and that there is some froth in the market, however, the spending on AI is real,” said Chris Zaccarelli, chief investment officer for money manager Northlight Asset Management. “Whether or not the spending turns out to be overdone won’t be known for many years.”

    AP Business Writer Stan Choe in New York contributed to this story.

    [ad_2]

    Source link

  • Google and US government battle over the future of internet advertising

    [ad_1]

    Google will confront the U.S. government’s latest attempt to topple its internet empire in federal court on Friday as a judge considers how to prevent the abusive tactics that culminated in parts of its digital ad network being branded as an illegal monopoly.

    The courtroom showdown in Alexandria, Virginia, will pit lawyers from Google and the U.S. Department of Justice against each other in closing proceedings focused on the complex technology that distributes millions of digital ads across the internet each day.

    After a lengthy trial last year, U.S. District Judge Leonie Brinkema ruled in April that pieces of Google’s ad technology had been rigged in a way that made it an illegal monopoly. That set up another 11-day trial earlier this fall to help Brinkema determine how to remedy its anti-competitive practices.

    Friday’s closing arguments will give both Google and the Justice Department a final chance to sway Brinkema before she issues a ruling that probably won’t come until early next year.

    The Justice Department wants Brinkema to force Google to sell some of the ad technology that it has spent nearly 20 years assembling, contending a breakup is the only way to rein in a company that the agency’s lawyers condemned as a “recidivist monopolist” in filings leading up to Friday’s hearing.

    The condemnation refers not only to Google’s practices in digital advertising but also to the illegal monopoly that it unleashed through its dominant search engine. Federal prosecutors also sought a breakup in the search monopoly case, but the judge handling that issue rejected a proposal that would have required Google to sell its popular Chrome web browser.

    Although Google is still being ordered to make reforms that it’s resisting, the outcome in the search monopoly case has been widely seen as a proverbial slap on the wrist. The belief that Google got off easy in the search case is the main reason the market value of its parent company Alphabet surged by about $950 billion, or 37%, to nearly $3.5 trillion since U.S. District Judge Amit Mehta’s decision came out in early September.

    That setback hasn’t discouraged the Justice Department from arguing for a breakup of an ad tech system that handles 55 million requests per second, according to estimates provided by Google in court filings.

    The huge volume of digital ads priced and distributed through Google’s technology is one of the main reasons that the company’s lawyers contend it would be too risky to force a dismantling of the intricate system.

    “This is technology that absolutely has to keep working for consumers,” Google argues in documents leading up to Friday’s hearing. The company’s lawyers blasted the Justice Department’s proposal as a package of “legally unprecedented and unsupported divestitures.”

    Besides arguing that its own proposed changes will bring more price transparency and foster more competition, Google is also citing market upheaval triggered by artificial intelligence as another reason for the judge to proceed cautiously with her decision.

    In his decision in the search monopoly case, Mehta reasoned that AI was already posing more competition to Google.

    But the Justice Department urged the judge to focus on the testimony from a litany of trial witnesses who outlined why Google shouldn’t be trusted to change its devious behavior.

    The witnesses “explained how Google can manipulate computer algorithms that are the engine of its monopolies in ways too difficult to detect,” the Justice Department argued in court papers.

    [ad_2]

    Source link

  • Nvidia earnings clear lofty hurdle set by analysts amid fears about an AI bubble

    [ad_1]

    SAN FRANCISCO (AP) — Nvidia’s sales of the computing chips powering the artificial intelligence craze surged beyond the lofty bar set by stock market analysts in a performance that may ease recent jitters about a Big Tech boom turning into a bust that topples the world’s most valuable company.

    The results announced late Wednesday provided a pulse check on the frenzied spending on AI technology that has been fueling both the stock market and much of the overall economy since OpenAI released its ChatGPT three years ago.

    Nvidia has been by far the biggest beneficiary of the run-up because its processors have become indispensable for building the AI factories that are needed to enable what’s supposed to be the most dramatic shift in technology since Apple released the iPhone in 2007.

    But in the past few weeks, there has been a rising tide of sentiment that the high expectations for AI may have become far too frothy, setting the stage for a jarring comedown that could be just as dramatic as the ascent that transformed Nvidia from a company worth less than $400 billion three years ago to one worth $4.5 trillion at the end of Wednesday’s trading.

    Nvidia’s report for its fiscal third quarter covering the August-October period elicited a sigh of relief among those fretting about a worst-case scenario and could help reverse the recent downturn in the stock market.

    “The market should belt out a heavy sigh, given the skittishness we have been experiencing,” said Sean O’Hara, president of the investment firm Pacer ETFs.

    The company’s stock price gained more than 5% in Wednesday’s extended trading after the numbers came out. If the shares trade similarly Thursday, it could result in a one-day gain of about $230 billion in stockholder wealth.

    Nvidia earned $31.9 billion, or $1.30 per share, a 65% increase from the same time last year, while revenue climbed 62% to $57 billion. Analysts polled by FactSet Research had forecast earnings of $1.26 per share on revenue of $54.9 billion. What’s more, the Santa Clara, California, company predicted its revenue for the current quarter covering November-January will come in at about $65 billion, nearly $3 billion above analysts’ projections, in an indication that demand for its AI chips remains feverish.

    The incoming orders for Nvidia’s top-of-the-line Blackwell chip are “off the charts,” Nvidia CEO Jensen Huang said in a prepared statement that described the current market conditions as “a virtuous cycle.” In a conference call, Nvidia Chief Financial Officer Collette Kress said that by the end of next year the company will have sold about $500 billion in chips designed for AI factories within a 24-month span Kress also predicts trillions of dollars more will be spent by the end of the 2020s.

    In a conference call preamble that has become like a State of the AI Market address, Huang seized the moment to push back against the skeptics who doubt his thesis that technology is at tipping point that will transform the world. “There’s been a lot of talk about an AI bubble. From our vantage point, we see something very different,” Huang insisted while celebrating “depth and breadth” of Nvidia’s growth.

    The upbeat results, optimistic commentary and ensuring reaction reflects the pivotal role that Nvidia is playing in the future direction of the economy — a position that Huang has leveraged to forge close ties with President Donald Trump, even as the White House wages a trade war that has inhibited the company’s ability to sell its chips in China’s fertile market.

    Trump is increasingly counting on the tech sector and the development of artificial intelligence to deliver on his economic agenda. For all of Trump’s claims that his tariffs are generating new investments, much of that foreign capital is going to data centers for AI’s computing demands or the power facilities needed to run those data centers.

    “Saying this is the most important stock in the world is an understatement,” Jay Woods, chief market strategist of investment bank Freedom Capital Markets, said of Nvidia.

    The boom has been a boon for more than just Nvidia, which became the first company to eclipse a market value of $5 trillion a few weeks ago, before the recent bubble worries resulted in a more than 10% decline. As OpenAI and other Big Tech powerhouses snap up Nvidia’s chips to build their AI factories and invest in other services connected to the technology, their fortunes have also been soaring. Apple, Microsoft, Google parent Alphabet Inc. and Amazon all boast market values in the $2 trillion to $4 trillion range.

    [ad_2]

    Source link

  • OpenAI and Taiwan’s Foxconn to partner in AI hardware design and manufacturing in the US

    [ad_1]

    TAIPEI, Taiwan — OpenAI and Taiwan electronics giant Foxconn have agreed to a partnership to design and manufacture key equipment for artificial intelligence data centers in the U.S. as part of ambitious plans to fortify American AI infrastructure.

    Foxconn, which makes AI servers for Nvidia and assembles Apple products including the iPhone, will be co-designing and developing AI data center racks with OpenAI under the agreement, the companies said in separate statements on Thursday and Friday.

    The products Foxconn will manufacture in its U.S. facilities include cabling, networking and power systems for AI data centers, the companies said. OpenAI will have “early access” to evaluate and potentially to purchase them.

    Foxconn has factories in the U.S., including in Ohio and Texas. The initial agreement does not include financial obligations or purchase commitments, the statements said.

    The Taiwan contract manufacturer has been moving to diversity its business, developing electric vehicles and acquiring other electronics companies to build out its product offerings.

    “This partnership is a step toward ensuring the core technologies of the AI era are built here,” Sam Altman, CEO of San Francisco-based OpenAI, said in the statement. “We believe this work will strengthen U.S. leadership and help ensure the benefits of AI are widely shared.”

    OpenAI has committed $1.4 trillion to building AI infrastructure. It recently entered into multi-billion partnerships with Nvidia and AMD to expand the extensive computing power needed to support its AI models and services. It is also partnering with US chipmaker Broadcom in designing and making its own AI chips.

    But its massive spending plans have worried investors, raising questions over its ability to recoup its investments and remain profitable. Altman said this month that OpenAI, a startup founded in 2015 and maker of ChatGPT, is expected to reach more than $20 billion in annualized revenue this year, growing to “hundreds of billions by 2030.”

    Foxconn’s Taiwan-listed share price has risen 25% so far this year, along with the surge in prices for many tech companies benefiting from the craze for AI.

    The Taiwan company’s net profit in the July-September quarter rose 17% from a year earlier to just over 57.6 billion new Taiwan dollars ($1.8 billion), with revenue from its cloud and networking business, including AI servers, contributing the most business.

    “We believe the importance of the AI ​​industry is increasing significantly,” Liu said during Foxconn’s earnings call this month.

    “I am very optimistic about the development of AI ​next year, and expect our cooperation with major clients and partners to become even closer,” said Liu.

    ___

    Chan reported from Hong Kong

    [ad_2]

    Source link

  • Nvidia’s strong earnings and a solid report on the job market boost US index futures

    [ad_1]

    NEW YORK — U.S. stock index futures added to their gains after the government reported that employers added twice as many jobs as expected in September. Futures were already higher on enthusiasm for a strong earnings report from AI bellwether Nvidia. Futures for the S&P 500 were up 1.5% before the opening bell, while futures for the Dow Jones Industrial Average gained 0.8%. Futures for the Nasdaq shot 1.9% higher. The Labor Department said employapners added 119,000 jobs in September, more than double the 50,000 economists had forecast. The market also focused on Nvidia as Wall Street’s most influential company jumped 5.1% overnight after reporting better-than-expected results.

    THIS IS A BREAKING NEWS UPDATE. AP’s earlier story follows below.

    Wall Street surged on Thursday after Nvidia reported stronger than expected quarterly earnings, tempering worries that AI-related stocks may have become overvalued.

    Futures for the S&P 500 were up 1.1% before the opening bell, while futures for the Dow Jones Industrial Average gained 0.5%. Futures for the Nasdaq shot 1.6% higher.

    The market’s focus remained on Nvidia as Wall Street’s most influential stock jumped 5.1% overnight after the chipmaker reported third-quarter earnings of $31.9 billion. That’s a 65% increase over last year and more than analysts were expecting.

    The Santa Clara, California company also forecast revenue for the current quarter covering November-January will come in at about $65 billion, nearly $3 billion above analysts’ projections, an indication that demand for its AI chips remains feverish.

    Nvidia is the most valuable company by market capitalization on Wall Street, having briefly topped $5 trillion in value. That means its movements have more of an effect on the S&P 500 than any other stock, and it can single-handedly steer the index’s direction some days.

    By continuing to deliver big profits for investors, Nvidia has mostly quieted recent criticism that its shares shot too high, too fast.

    Nvidia has become a bellwether for the broader frenzy around artificial-intelligence technology, because other companies are using its chips to ramp up their AI efforts.

    Walmart also reported its latest quarterly results Thursday. The Arkansas retailer delivered another standout quarter, posting strong sales and profits that blew past Wall Street expectations as it continues to lure cash-strapped Americans who have grown increasingly anxious about the economy and prices.

    With other retailers dialing back projections, the nation’s largest retailer raised its financial outlook Thursday after its strong third quarter, setting itself up for a strong holiday shopping season.

    Traders also made their final moves ahead of a September jobs report coming from the U.S. government on Thursday. The labor market data, usually released during the first week of every month, was delayed due to the six-week federal government shutdown.

    The Labor Department said Wednesday that it will not be releasing a full jobs report for October because the 43-day shutdown meant it couldn’t calculate the unemployment rate and some other key numbers.

    The job market has been slowing enough this year that the Fed has already cut its main interest rate twice. Lower rates can give a boost to the economy and to prices for investments, and the expectation on Wall Street had been for more cuts, including at the Fed’s next meeting in December.

    But some Fed officials are hinting that they should pause next month, in part because inflation has stubbornly remained above the Fed’s 2% target. Lower interest rates can worsen inflation.

    At midday in Europe, Germany’s DAX rose 0.8%, while Britain’s FTSE 100 and the CAC 40 in Paris each added 0.6%.

    In Asia, Japan’s Nikkei 225 index initially surged as much as 4.2% before giving up some early gains. It closed nearly 2.7% higher at 49,823.94 as technology stocks rallied, with investor sentiment boosted by Nvidia’s strong quarterly results after trading closed in the U.S.

    South Korea’s Kospi added 1.9% to 4,004.85, with gains led by technology and energy stocks. Investors were encouraged by Nvidia’s earnings and reports that the U.S. may delay planned semiconductor tariffs.

    Samsung Electronics gained 4.2%, while SK Hynix added 1.6%.

    Chinese markets ended mixed as reports said the government might be planning more measures to try to revive the ailing property sector.

    Hong Kong’s Hang Seng Index was barely changed at 25,835.57, while the Shanghai Composite index lost 0.4% to 3,931.05 after China’s central bank kept its one- and five-year loan prime rates unchanged at 3% and 3.5%, respectively.

    Taiwan’s Taiex closed 3.2% higher while India’s BSE Sensex added nearly 0.7%.

    Australia’s S&P/ASX 200 gained 1.2% to 8,552.70, also led by gains for technology stocks.

    In energy markets, benchmark U.S. crude oil gained 59 cents, or 1%, to $59.61 per barrel. Brent crude, the international standard, rose 62 cents to $64.13 per barrel.

    The U.S. dollar climbed to 157.66 Japanese yen from 157.06 yen. It has been trading at nearly the highest level this year on expectations that the government will delay efforts to rein in Japan’s national debt as Prime Minister Sanae Takaichi raises spending to help spur the economy.

    The euro fell to $1.1515 from $1.1538.

    [ad_2]

    Source link

  • Advocacy groups urge parents to avoid AI toys this holiday season

    [ad_1]

    They’re cute, even cuddly, and promise learning and companionship — but artificial intelligence toys are not safe for kids, according to children’s and consumer advocacy groups urging parents not to buy them during the holiday season.

    These toys, marketed to kids as young as 2 years old, are generally powered by AI models that have already been shown to harm children and teenagers, such as OpenAI’s ChatGPT, according to an advisory published Thursday by the children’s advocacy group Fairplay and signed by more than 150 organizations and individual experts such as child psychiatrists and educators.

    “The serious harms that AI chatbots have inflicted on children are well-documented, including fostering obsessive use, having explicit sexual conversations, and encouraging unsafe behaviors, violence against others, and self-harm,” Fairplay said.

    AI toys, made by companies such as Curio Interactive and Keyi Technologies, are often marketed as educational, but Fairplay says they can displace important creative and learning activities. They promise friendship but also disrupt children’s relationships and resilience, the group said.

    “What’s different about young children is that their brains are being wired for the first time and developmentally it is natural for them to be trustful, for them to seek relationships with kind and friendly characters,” said Rachel Franz, director of Fairplay’s Young Children Thrive Offline Program. Because of this, she added, the amount of trust young children are putting in these toys can exacerbate the harms seen with older children.

    Fairplay, a 25-year-old organization formerly known as the Campaign for a Commercial-Free Childhood, has been warning about AI toys for more than 10 years. They just weren’t as advanced as they are today. A decade ago, during an emerging fad of internet-connected toys and AI speech recognition, the group helped lead a backlash against Mattel’s talking Hello Barbie doll that it said was recording and analyzing children’s conversations.

    “Everything has been released with no regulation and no research, so it gives us extra pause when all of a sudden we see more and more manufacturers, including Mattel, who recently partnered with OpenAI, potentially putting out these products,” Franz said.

    It’s the second big seasonal warning against AI toys since consumer advocates at U.S. PIRG last week called out the trend in its annual “ Trouble in Toyland ” report that typically looks at a range of product hazards, such as high-powered magnets and button-sized batteries that young children can swallow. This year, the organization tested four toys that use AI chatbots.

    “We found some of these toys will talk in-depth about sexually explicit topics, will offer advice on where a child can find matches or knives, act dismayed when you say you have to leave, and have limited or no parental controls,” the report said.

    Dr. Dana Suskind, a pediatric surgeon and social scientist who studies early brain development, said young children don’t have the conceptual tools to understand what an AI companion is. While kids have always bonded with toys through imaginative play, when they do this they use their imagination to create both sides of a pretend conversation, “practicing creativity, language, and problem-solving,” she said.

    “An AI toy collapses that work. It answers instantly, smoothly, and often better than a human would. We don’t yet know the developmental consequences of outsourcing that imaginative labor to an artificial agent—but it’s very plausible that it undercuts the kind of creativity and executive function that traditional pretend play builds,” Suskind said.

    California-based Curio Interactive makes stuffed toys, like Gabbo and rocket-shaped Grok, that have been promoted by the pop singer Grimes.

    Curio said it has “meticulously designed” guardrails to protect children and the company encourages parents to “monitor conversations, track insights, and choose the controls that work best for their family.”

    “After reviewing the U.S. PIRG Education Fund’s findings, we are actively working with our team to address any concerns, while continuously overseeing content and interactions to ensure a safe and enjoyable experience for children.”

    Another company, Miko, said it uses its own conversational AI model rather than relying on general large language model systems such as ChatGPT in order to make its product — an interactive AI robot — safe for children.

    “We are always expanding our internal testing, strengthening our filters, and introducing new capabilities that detect and block sensitive or unexpected topics,” said CEO Sneh Vaswani. “These new features complement our existing controls that allow parents and caregivers to identify specific topics they’d like to restrict from conversation. We will continue to invest in setting the highest standards for safe, secure and responsible AI integration for Miko products.”

    Miko’s products are sold by major retailers such as Walmart and Costco and have been promoted by the families of social media “kidfluencers” whose YouTube videos have millions of views. On its website, it markets its robots as “Artificial Intelligence. Genuine friendship.”

    Ritvik Sharma, the company’s senior vice president of growth, said Miko actually “encourages kids to interact more with their friends, to interact more with the peers, with the family members etc. It’s not made for them to feel attached to the device only.”

    Still, Suskind and children’s advocates say analog toys are a better bet for the holidays.

    “Kids need lots of real human interaction. Play should support that, not take its place. The biggest thing to consider isn’t only what the toy does; it’s what it replaces. A simple block set or a teddy bear that doesn’t talk back forces a child to invent stories, experiment, and work through problems. AI toys often do that thinking for them,” she said. “Here’s the brutal irony: when parents ask me how to prepare their child for an AI world, unlimited AI access is actually the worst preparation possible.”

    [ad_2]

    Source link

  • Advocacy groups urge parents to avoid AI toys this holiday season

    [ad_1]

    They’re cute, even cuddly, and promise learning and companionship — but artificial intelligence toys are not safe for kids, according to children’s and consumer advocacy groups urging parents not to buy them during the holiday season.

    These toys, marketed to kids as young as 2 years old, are generally powered by AI models that have already been shown to harm children and teenagers, such as OpenAI’s ChatGPT, according to an advisory published Thursday by the children’s advocacy group Fairplay and signed by more than 150 organizations and individual experts such as child psychiatrists and educators.

    “The serious harms that AI chatbots have inflicted on children are well-documented, including fostering obsessive use, having explicit sexual conversations, and encouraging unsafe behaviors, violence against others, and self-harm,” Fairplay said.

    AI toys, made by companies such as Curio Interactive and Keyi Technologies, are often marketed as educational, but Fairplay says they can displace important creative and learning activities. They promise friendship but also disrupt children’s relationships and resilience, the group said.

    “What’s different about young children is that their brains are being wired for the first time and developmentally it is natural that for them to be trustful, for them to seek relationships with kind and friendly characters,” said Rachel Franz, director of Fairplay’s Young Children Thrive Offline Program. Because of this, she added, the amount of trust young children are putting in these toys can exacerbate the harms seen with older children.

    Fairplay, a 25-year-old organization formerly known as the Campaign for a Commercial-Free Childhood, has been warning about AI toys for more than 10 years. They just weren’t as advanced as they are today. A decade ago, during an emerging fad of internet-connected toys and AI speech recognition, the group helped lead a backlash against Mattel’s talking Hello Barbie doll that it said was recording and analyzing children’s conversations.

    “Everything has been released with no regulation and no research, so it gives us extra pause when all of a sudden we see more and more manufacturers, including Mattel, who recently partnered with OpenAI, potentially putting out these products,” Franz said.

    It’s the second big seasonal warning against AI toys since consumer advocates at U.S. PIRG last week called out the trend in its annual “ Trouble in Toyland ” report that typically looks at a range of product hazards, such as high-powered magnets and button-sized batteries that young children can swallow. This year, the organization tested four toys that use AI chatbots.

    “We found some of these toys will talk in-depth about sexually explicit topics, will offer advice on where a child can find matches or knives, act dismayed when you say you have to leave, and have limited or no parental controls,” the report said.

    Dr. Dana Suskind, a pediatric surgeon and social scientist who studies early brain development, said young children don’t have the conceptual tools to understand what an AI companion is. While kids have always bonded with toys through imaginative play, when they do this they use their imagination to create both sides of a pretend conversation, “practicing creativity, language, and problem-solving,” she said.

    “An AI toy collapses that work. It answers instantly, smoothly, and often better than a human would. We don’t yet know the developmental consequences of outsourcing that imaginative labor to an artificial agent—but it’s very plausible that it undercuts the kind of creativity and executive function that traditional pretend play builds,” Suskind said.

    California-based Curio Interactive makes stuffed toys, like rocket-shaped Gabbo, that have been promoted by the pop singer Grimes.

    Curio said it has “meticulously designed” guardrails to protect children and the company encourages parents to “monitor conversations, track insights, and choose the controls that work best for their family.”

    “After reviewing the U.S. PIRG Education Fund’s findings, we are actively working with our team to address any concerns, while continuously overseeing content and interactions to ensure a safe and enjoyable experience for children.”

    Another company, Miko, said it uses its own conversational AI model rather than relying on general large language model systems such as ChatGPT in order to make their product — an interactive AI robot — safe for children.

    “We are always expanding our internal testing, strengthening our filters, and introducing new capabilities that detect and block sensitive or unexpected topics,” said CEO Sneh Vaswani. “These new features complement our existing controls that allow parents and caregivers to identify specific topics they’d like to restrict from conversation. We will continue to invest in setting the highest standards for safe, secure and responsible AI integration for Miko products.”

    Miko’s products have been promoted by the families of social media “kidfluencers” whose YouTube videos have millions of views. On its website, it markets its robots as “Artificial Intelligence. Genuine friendship.”

    Ritvik Sharma, the company’s senior vice president of growth, said Miko actually “encourages kids to interact more with their friends, to interact more with the peers, with the family members etc. It’s not made for them to feel attached to the device only.”

    Still, Suskind and children’s advocates say analog toys are a better bet for the holidays.

    “Kids need lots of real human interaction. Play should support that, not take its place. The biggest thing to consider isn’t only what the toy does; it’s what it replaces. A simple block set or a teddy bear that doesn’t talk back forces a child to invent stories, experiment, and work through problems. AI toys often do that thinking for them,” she said. “Here’s the brutal irony: when parents ask me how to prepare their child for an AI world, unlimited AI access is actually the worst preparation possible.”

    [ad_2]

    Source link

  • Nvidia’s earnings attest to its leadership in the AI race. By the numbers

    [ad_1]

    Nvidia reported more eye-catching numbers for its fiscal third quarter Wednesday, with net income jumping 65% and revenue increasing 62% from a year earlier.

    Last month, Nvidia became the first public company to reach a market capitalization of $5 trillion.

    The ravenous appetite for the Silicon Valley company’s chips is the main reason that the company’s stock price has increased so rapidly since early 2023.

    Nvidia carved out an early lead in tailoring its chipsets known as graphics processing units, or GPUs, from use in powering video games to helping to train powerful AI systems, like the technology behind ChatGPT and image generators. Demand skyrocketed as more people began using AI chatbots. Tech companies scrambled for more chips to build and run them.

    Nvidia’s journey to be one of the world’s most prominent companies has produced some extraordinary numbers. Here’s a look.

    $31.9 billion

    Nvidia’s net income for the third quarter, up from $19.3 billion a year ago.

    38.9%

    Nvidia stock’s gain for the year, as of the close of trading Wednesday. That follows gains of 171% in 2024 and 239% in 2023.

    $4.53 trillion

    Nvidia’s total market capitalization as of the close of trading Wednesday, tops in the S&P 500.

    Apple at $3.98 trillion and Microsoft at $3.62 trillion were next among the most valuable companies in the S&P 500. In all, nine companies in the index have market cap’s above $1 trillion.

    $4.28 trillion

    The gross domestic product of Japan, the world’s fourth largest economy, according to the International Monetary Fund.

    79

    The number of trading days it took for Nvidia’s market cap to grow from $4 trillion to $5 trillion earlier this year. The market cap had jumped from $3 trillion on May 13, to $4 trillion on July 9 (41 trading days), although Nvidia had crossed and fallen back below the $3 trillion threshold a number of times between June 2024 and May 2025 before making the run to $4 trillion.

    19.8%

    The company’s contribution to the gain in the S&:P 500 this year as of Oct. 31, according to S&P Dow Jones Indices.

    $162 billion

    The net worth of Nvidia CEO Jensen Huang, according to Forbes, putting him eighth on its Real-Time Billionaires List. Elon Musk is No. 1 at $467.7 billion.

    [ad_2]

    Source link

  • Microsoft partners with Anthropic and Nvidia in cloud infrastructure deal

    [ad_1]

    Microsoft said Tuesday it is partnering with artificial intelligence company Anthropic and chipmaker Nvidia as part of an AI infrastructure deal that moves the software giant further away from its longtime alliance with OpenAI.

    Anthropic, maker of the chatbot Claude that competes with OpenAI’s ChatGPT, said it is committed to buying $30 billion in computing capacity from Microsoft’s Azure cloud computing platform.

    As part of the partnership, Nvidia will also invest up to $10 billion in Anthropic, and Microsoft will invest up to $5 billion in the San Francisco-based startup.

    The joint announcements by CEOs Dario Amodei of Anthropic, Satya Nadella of Microsoft, and Jensen Huang of Nvidia came just ahead of the opening of Microsoft’s annual Ignite developer conference.

    “This is all about deepening our commitment to bringing the best infrastructure, model choice and applications to our customers,” Nadella said on a video call with the other two executives, adding that it builds on the “critical” partnership Microsoft still has with OpenAI.

    Microsoft was, until earlier this year, the exclusive cloud provider for OpenAI and made the technology behind ChatGPT the foundation for its own AI assistant, Copilot. But the two companies moved farther apart and their business agreements were amended as OpenAI increasingly sought to secure its own cloud capacity through big deals with Oracle, SoftBank and other data center developers and chipmakers.

    Asked in September if OpenAI could do more with those new computing partnerships than it could with Microsoft, OpenAI CEO Sam Altman told The Associated Press his company was “severely limited for the value we can offer to people.”

    At the same time, Microsoft holds a roughly 27% stake in the new for-profit corporation that OpenAI, founded as a nonprofit, is forming to advance its commercial ambitions as the world’s most valuable startup.

    Anthropic, founded by ex-OpenAI leaders in 2021, said Claude will now be the “only frontier model” available to customers of the three biggest cloud computing providers: Amazon, which remains Anthropic’s primary cloud provider, and Google and Microsoft.

    AI products like Claude, ChatGPT, Copilotand Google’s Gemini are reshaping how many people work but take huge amounts of energy and computing power to build and operate. Neither OpenAI nor Anthropic has yet reported turning a profit, amplifying concerns about an AI bubble if their products don’t meet investors’ high expectations and justify the expenditures. As part of the deal, Nvidia said Anthropic will have access to up to a gigawatt of capacity from its specialized AI chips.

    Huang said he’s “admired the work of Anthropic and Dario for a long time, and this is the first time we are going to deeply partner with Anthropic to accelerate Claude.”

    At Microsoft’s Ignite conference, a showcase of its latest AI technology which opened Tuesday in San Francisco, Anthropic’s chief product officer Mike Krieger highlighted the budding partnership during an on-stage appearance.

    “From the beginning, it has seemed there has been a lot of shared DNA between our companies,” said Krieger, who was also the co-founder of Instagram.

    ——

    AP Technology Writer Michael Liedtke in San Francisco contributed to this report.

    [ad_2]

    Source link

  • Google unveils Gemini’s next generation, aiming to turn its search engine into a ‘thought partner’

    [ad_1]

    SAN FRANCISCO (AP) — Google is unleashing its Gemini 3 artificial intelligence model on its dominant search engine and other popular online services in the high-stakes battle to create technology that people can trust to enlighten them and manage tedious tasks.

    The next-generation model unveiled Tuesday comes nearly two years after Google took the wraps off its first iteration of the technology. Google designed Gemini in response to a competitive threat posed by OpenAI’s ChatGPT that came out in late 2022, triggering the biggest technological shift since Apple released the iPhone in 2007.

    Google’s latest AI features initially will be rolled out to Gemini Pro and Ultra subscribers in the United States before coming to a wider, global audience. Gemini 3’s advances include a new AI “thinking” feature within Google’s search engine that company executives believe will become an indispensable tool that will help make people more productive and creative.

    “We like to think this will help anyone bring any idea to life,” Koray Kavukcuoglu, a Google executive overseeing Gemini’s technology, told reporters.

    As AI models have become increasingly sophisticated, the advances have raised worries that the technology is more prone to behave in ways that jumble people’s feelings and thoughts while feeding them misleading information and fawning flattery. In some of the most egregious interactions, AI chatbots have faced accusations of becoming suicide coaches for emotionally vulnerable teenagers.

    The various problems have spurred a flurry of negligence lawsuits against the makers of AI chatbots, although none have targeted Gemini yet.

    Google executives believe they have built in guardrails that will prevent Gemini 3 from hallucinating or be deployed for sinister purposes such as hacking into websites and computing devices.

    Gemini 3 ‘s responses are designed to be “smart, concise and direct, trading cliche and flatter for insight — telling you what you need to hear, not just what you want to hear. It acts as a true thought partner,” Kavukcuoglu and Demis Hassabis, CEO of Google’s DeepMind division, wrote in a blog post.

    Besides providing consumers with more AI tools, Gemini 3 is also likely to be scrutinized as a barometer that investors may use to get a better sense about whether the massive torrent of spending on the technology will pay off.

    After starting the year expecting to spend $75 billion, Google’s corporate parent Alphabet recently raised its capital expenditure budget from $91 billion to $93 billion, with most of the money earmarked for AI. Other Big Tech powerhouses such as Microsoft, Amazon and Facebook parent Meta Platforms are spending nearly as much — or even more — on their AI initiatives this year.

    Investors so far have been mostly enthusiastic about the AI spending and the breakthroughs they have spawned, helping propel the values of Alphabet and its peers to new highs. Alphabet’s market value is now hovering around $3.4 trillion, more than doubling in value since the initial version of Gemini came out in late 2023. Alphabet’s shares edged up slightly Tuesday after the Gemni 3 news came out.

    But the sky-high values also have amplified fears of a potential investment bubble that will eventually burst and drag down the entire stock market.

    For now, AI technology is speeding ahead.

    OpenAI released its fifth generation of the AI technology powering ChatGPT in August, around the same time the next version of Claude came out from Anthropic.

    Like Gemini, both ChatGPT and Claude are capable of responding rapidly to conversational questions involving complex topics — a skill that has turned them into the equivalent of “answer engines” that could lessen people’s dependence on Google search.

    Google quickly countered that threat by implanting Gemini’s technology into its search engine to begin creating detailed summaries called “AI Overviews” in 2023, and then introducing an even more conversational search tool called “AI mode” earlier this year.

    Those innovations have prompted Google to de-emphasize the rankings of relevant websites in its search results — a shift that online publishers have complained is diminishing the visitor traffic that helps them finance their operations through digital ad sales.

    The changes have been mostly successful for Google so far, with AI Overviews now being used by more than 2 billion people every month, according to the company. The Gemini app, by comparison, has about 650 million monthly users.

    With the release of Gemini 3, the AI mode in Google’s search engine is also adding a new feature that will allow users to click on a “thinking” option in a tab that company executives promise will deliver even more in-depth answers than has been happening so far. Although the “thinking” choice in the search engine’s AI mode initially will only be offered to Gemini Pro and Ultra subscribers, the Mountain View, California, company plans to eventually make it available to all comers.

    [ad_2]

    Source link

  • Artificial intelligence sparks debate at COP30 climate talks in Brazil

    [ad_1]

    BELEM, Brazil — At the U.N. climate talks in Brazil, artificial intelligence is being cast as both a hero worthy of praise and a villain that needs policing.

    Tech companies and a handful of countries at the conference known as COP30 are promoting ways AI can help solve global warming, which is driven largely by the burning of fossil fuels like oil, gas and coal. They say the technology has the potential to do many things, from increasing the efficiency of electrical grids and helping farmers predict weather patterns to tracking deep-sea migratory species and designing infrastructure that can withstand extreme weather.

    Climate groups, however, are sounding the alarm about AI’s growing environmental impact, with its surging needs for electricity and water for powering searches and data centers. They say an AI boom without guardrails will only push the world farther off track from goals set by 2015 Paris Agreement to slow global warming.

    “AI right now is a completely unregulated beast around the world,” said Jean Su, energy justice director at the Center for Biological Diversity.

    On the other hand, Adam Elman, director of sustainability at Google, sees AI as “a real enabler” and one that’s already making an impact.

    If both sides agree on anything, it’s that AI is here to stay.

    Michal Nachmany, founder of Climate Policy Radar, which runs AI tools that track issues like national climate plans and funds to help developing countries transition to green energies like solar and wind, said there is “unbelievable interest” in AI at COP30.

    “Everyone is also a little bit scared,” Nachmany said. “The potential is huge and the risks are huge as well.”

    The rise of AI is becoming a more common topic at the United Nations compared to a few years ago, according to Nitin Arora, who leads the Global Innovation Hub for the United Nations Framework Convention on Climate Change, the framework for international climate negotiations.

    The hub was launched at COP26 in Glasgow to promote ideas and solutions that can be deployed at scale, he said. So far, Arora said, those ideas have been dominated by AI.

    The Associated Press counted at least 24 sessions related to AI during the Brazil conference’s first week. They included AI helping neighboring cities share energy, AI-backed forest crime location predictions and a ceremony for the first AI for Climate Action Award — given to an AI project on water scarcity and climate variability in the Southeast Asian nation of Laos.

    Johannes Jacob, a data scientist with the German delegation, said a prototype app he is designing, called NegotiateCOP, can help countries with smaller delegations — like El Salvador, South Africa, Ivory Coast and a few in the Association of Southeast Asian Nations — process hundreds of official COP documents.

    The result is “leveling the playing field in the negotiations,” he said.

    In a panel discussion, representatives from AI giants like Google and Nvidia spoke about how AI can solve issues facing the power sector. Elman with Google stressed the “need to do it responsibly” but declined to comment further.

    Nvidia’s head of sustainability, Josh Parker, called AI the “best resource any of us can have.”

    “AI is so democratizing,” Parker said. “If you think about climate tech, climate change and all the sustainability challenges we’re trying to solve here at COP, which one of those challenges would not be solved better and faster, with more intelligence.”

    Princess Abze Djigma from Burkina Faso called AI a “breakthrough in digitalization” that she believes will be even more critical in the future.

    Bjorn-Soren Gigler, a senior digital and green transformation specialist with the European Commission, agreed but noted AI is “often seen as a double-edge sword” with both huge opportunities and ethical and environmental concerns.

    The training and deploying of AI models rely on power-hungry data centers that contribute to emissions because of the electricity needed. The International Energy Agency has tracked a boom in energy consumption and demand from data centers, especially in the U.S.

    Data centers accounted for around 1.5% of the world’s electricity consumption in 2024, according to the IEA, which found that their electricity consumption has grown by around 12% per year since 2017, more than four times faster than the rate of total electricity consumption.

    The environmental impact from AI, specifically the operations of data centers, also includes the consumption of large amounts of water in water-stressed states, according to Su with the Center for Biological Diversity, who has studied how the data center boom threatens U.S. climate goals.

    She said these operations will increase the national emissions of the U.S., historically the world’s largest polluter.

    Environmental groups at COP30 are pushing for regulations to soften AI’s environmental footprint, such as mandating public interest tests for proposed data centers and 100% on-site renewable energy at them.

    “COP can not only view AI as some type of techno solution, it has to understand the deep climate consequences,” Su said.

    ___

    Associated Press writer Seth Borenstein in Belem, Brazil, contributed to this report.

    ___

    The Associated Press’ climate and environmental coverage receives financial support from multiple private foundations. AP is solely responsible for all content. Find AP’s standards for working with philanthropies, a list of supporters and funded coverage areas at AP.org

    ___

    This story was produced as part of the 2025 Climate Change Media Partnership, a journalism fellowship organized by Internews’ Earth Journalism Network and the Stanley Center for Peace and Security.

    [ad_2]

    Source link

  • What does ‘agentic’ AI mean? Tech’s newest buzzword is a mix of marketing fluff and real promise

    [ad_1]

    For technology adopters looking for the next big thing, “agentic AI” is the future. At least, that’s what the marketing pitches and tech industry T-shirts say.

    What makes an artificial intelligence product “agentic” depends on who’s selling it. But the promise is usually that it’s a step beyond today’s generative AI chatbots.

    Chatbots, however useful, are all talk and no action. They can answer questions, retrieve and summarize information, write papers and generate images, music, video and lines of code. AI agents, by contrast, are supposed to be able to take actions on a person’s behalf.

    But if you’re confused, you’re not alone. Google searches for “agentic” have skyrocketed from near obscurity a year ago to a peak earlier this fall.

    A new report Tuesday by researchers at the Massachusetts Institute of Technology and the Boston Consulting Group, who surveyed more than 2,000 business executives around the world, describes agentic AI as a “new class of systems” that “can plan, act, and learn on their own.”

    “They are not just tools to be operated or assistants waiting for instructions,” says the MIT Sloan Management Review report. “Increasingly, they behave like autonomous teammates, capable of executing multistep processes and adapting as they go.”

    AI chatbots — such as the original ChatGPT that debuted three years ago this month — rely on systems called large language models that predict the next word in a sentence based on the huge trove of human writings they’ve been trained on. They can sound remarkably human, especially when given a voice, but are effectively performing a kind of word completion.

    That’s different from what AI developers — including ChatGPT’s maker, OpenAI, and tech giants like Amazon, Google, IBM, Microsoft and Salesforce — have in mind for AI agents.

    “A generative AI-based chatbot will say, ‘Here are the great ideas’ … and then be done,” said Swami Sivasubramanian, vice president of Agentic AI at Amazon Web Services, in an interview this week. “It’s useful, but what makes things agentic is that it goes beyond what a chatbot does.”

    Sivasubramanian, a longtime Amazon employee, took on his new role helping to lead work on AI agents in Amazon’s cloud computing division earlier this year. He sees great promise in AI systems that can be given a “high-level goal” and break it down into a series of steps and act upon them. “I truly believe agentic AI is going to be one of the biggest transformations since the beginning of the cloud,” he said.

    For most consumers, the first encounters with AI agents could be in realms like online shopping. Set a budget and some preferences and AI agents can buy things or arrange travel bookings using your credit card. In the longer run, the hope is that they can do more complex tasks with access to your computer and a set of guidelines to follow.

    “I’d love an agent that just looked at all my medical bills and explanations of benefits and figured out how to pay them,” or another one that worked like a “personal shield” fighting off email spam and phishing attempts, said Thomas Dietterich, a professor emeritus at Oregon State University who has worked on developing AI assistants for decades.

    Dietterich has some quibbles with certain companies using “agentic” to describe “any action a computer might do, including just looking things up on the web,” but he has no doubt that the technology has immense possibilities as AI systems are given the “freedom and responsibility” to refine goals and respond to changing conditions as they work on people’s behalf.

    “We can imagine a world in which there are thousands or millions of agents operating and they can form coalitions,” Dietterich said. “Can they form cartels? Would there be law enforcement (AI) agents?

    Milind Tambe has been researching AI agents that work together for three decades, since the first International Conference on Multi-Agent Systems gathered in San Francisco in 1995. Tambe said he’s been “amused” by the sudden popularity of “agentic” as an adjective. Previously, the word describing something that has agency was mostly found in other academic fields, such as psychology or chemistry.

    But computer scientists have been debating what an agent is for as long as Tambe has been studying them.

    In the 1990s, “people agreed that some software appeared more like an agent, and some felt less like an agent, and there was not a perfect dividing line,” said Tambe, a professor at Harvard University. “Nonetheless, it seemed useful to use the word ‘agent’ to describe software or robotic entities acting autonomously in an environment, sensing the environment, reacting to it, planning, thinking.”

    The prominent AI researcher Andrew Ng, co-founder of online learning company Coursera, helped advocate for popularizing the adjective “agentic” more than a year ago to encompass a broader spectrum of AI tasks. At the time, he also appreciated that mainly “technical people” were describing it that way.

    “When I see an article that talks about ‘agentic’ workflows, I’m more likely to read it, since it’s less likely to be marketing fluff and more likely to have been written by someone who understands the technology,” Ng wrote in a June 2024 blog post.

    Ng didn’t respond to requests for comment on whether he still thinks that.

    [ad_2]

    Source link

  • Asian shares sink, tracking a tech-led sell-off on Wall Street

    [ad_1]

    BANGKOK (AP) — Asian shares tumbled on Tuesday, with benchmarks in Tokyo and Seoul sinking more than 3%, after Nvidia and other artificial-intelligence -related shares pulled U.S. stocks lower.

    U.S. futures dropped, with the contract for the S&P 500 down 0.6% while the future for the Dow Jones Industrial Average was down 0.4%.

    Computer chip giant Nvidia, at the center of the craze over AI, is due to report its earnings on Wednesday. Worries that stock prices of such companies have shot too high have roiled world markets recently, with big swings in places that rely heavily on trade in computer chips such as South Korea and Taiwan.

    Also hanging over the markets is the release due Thursday of U.S. employment data that was delayed by the prolonged government shutdown.

    Regional markets felt a chill after the yield on 30-year Japanese government bonds surged to 3.31%, reflecting rising risks as Prime Minister Sanae Takaichi prepares to boost government spending and push back the timetable for bringing down Japan’s huge national debt.

    The yen was trading above 155 to the U.S. dollar, near its highest level since February. On Monday, the yen fell to its lowest level against the euro since 1999, when the unified European currency was launched.

    Tokyo’s Nikkei 225 was down 3% at 48,835.20 by midday, with selling of tech shares leading the decline. Chip maker Tokyo Electron shed 5.4%, while equipment maker Advantest dropped 4.6%.

    In Seoul, the Kospi fell 3.1% to 3,960.82. Samsung Electronics dropped 2.9%, while chip maker SK Hynix shed 5.7%.

    In Taiwan, the Taiex fell 2.3% as TSMC, the world’s largest contract chip manufacturer, declined 2.4%.

    Chinese markets were not immune from heavy selling.

    Hong Kong’s Hang Seng declined 1.5% to 25,997.20, while the Shanghai Composite index slipped 0.6% to 3,949.83.

    In Australia, the S&P/ASX 200 gave up 2.1% to 8,452.50.

    On Monday, the S&P 500 fell 0.9% to 6,672.41, pulling further from its all-time high set late last month. The Dow industrials dropped 1.2% to 46,590.24, while the Nasdaq composite sank 0.8% to 22,708.07.

    Nvidia dropped 1.8%, though it is still up nearly 40% this year. Losses for other AI winners included a 6.4% slide for Super Micro Computer.

    Other areas of the market that had been high-momentum winners also sank. Bitcoin extended its decline, dragging down Coinbase Global by 7.1% and Robinhood Markets by 5.3%. Early Tuesday, it was down 2% at $90,110.

    Critics have been warning that the U.S. stock market could be primed for a drop because of how high prices have shot since April, leaving them looking too expensive.

    However, Alphabet gained 3.1% after Berkshire Hathaway said it has built a $4.34 billion ownership stake in Google’s parent company. Berkshire Hathaway, run by famed investor Warren Buffett, is notorious for trying to buy stocks only when they look like good values while avoiding anything that looks too expensive.

    Another source of potential disappointment for Wall Street is what the Federal Reserve does with interest rates. The expectation had been that the Fed would keep cutting interest rates in hopes of shoring up the slowing job market.

    But the downside of lower interest rates is that they can make inflation worse, and inflation has stubbornly remained above the Fed’s 2% target.

    Fed officials have also pointed to the U.S. government’s shutdown, which delayed the release of updates on the job market and other signals about the economy. With less information and less certainty about how things are going, some Fed officials have suggested it may be better to wait in December to get more clarity.

    A strong jobs report on Thursday would likely stay the Fed’s hand on rate cuts, while figures that are very weak would raise worries about the economy.

    In other dealings early Tuesday, U.S. benchmark crude oil lost 42 cents to $59.49 per barrel. Brent crude, the international standard, gave up 43 cents to $63.77 per barrel.

    The dollar fell to 155.08 Japanese yen from 155.26 yen. The euro rose to $1.1600 from $1.1593.

    ___

    AP Business Writers Stan Choe and Matt Ott contributed.

    [ad_2]

    Source link

  • US has warned others to avoid loans from Chinese state banks. But it’s the biggest recipient of all

    [ad_1]

    WASHINGTON (AP) — For years, Washington has been warning others not to trust loans from Chinese state banks fueling its rise as a superpower. But a new report reveals an ironic twist: The United States is the biggest recipient of all — by far. And the security and technology implications have yet to be fully understood.

    China’s state lenders have funneled $200 billion into U.S. businesses for a quarter of a century, but many of the loans have been kept secret because the money was first routed through shell companies in the Cayman Islands, Bermuda, Delaware and elsewhere that helped obscure their origins, according to AidData, a research lab at the College of William & Mary in Virginia.

    More alarming, much of the lending was to help Chinese companies buy stakes in U.S. businesses, many tied to critical technology and national security, including a robotics maker, a semiconductor company and a biotech firm.

    The report found a far more widespread and sophisticated lending network than previously thought — a web of financial obligations extending beyond developing countries to rich ones, including the U.K., Germany, Australia, the Netherlands and other U.S. allies.

    “China was playing chess while the rest of us were playing checkers,” said former White House investment adviser William Henagan, who worries the hidden lending has given China a chokehold on technologies. “Wars will be won or lost based on whether you can control products critical to running an economy.”

    China money gets a closer look

    While the U.S. still welcomes most foreign investment — and President Donald Trump has courted it — money from China has drawn particular scrutiny as the world’s two biggest economies with opposing ideologies battle for global supremacy.

    Deals financed by China’s state-owned banks, the ones studied in the AidData report, are especially problematic. The lenders are controlled by China’s central government and the Communist Party’s Central Financial Commission, and they are directed to advance China’s strategic goals.

    In total, the AidData report found China lent more than $2 trillion from 2000 through 2023 around the world, double the highest previous estimates and a surprise to even longtime analysts of China’s rise. And much of the lending to wealthy countries was focused on critical minerals and high-tech assets — rare earths and semiconductors needed for fighter jets, submarines, radar systems, precision-guided missiles and telecom networks.

    “The U.S., under both (former President Joe) Biden and Trump, have been beating this drum for more than a decade that Beijing is a predatory lender,” said Brad Parks, executive director of AidData. “The irony is very rich.”

    Shell games

    Until now, a full accounting of China’s state lending has never been published because much of the financing is buried beneath layers of secrecy, masked by Western-sounding shell companies and mislabeled by international databases as ordinary private financing.

    “There is a complete lack of transparency that speaks to the lengths to which China goes, whether through shell companies or confidentiality agreements or redactions, to make it extremely difficult to come up with this full picture,” said Scott Nathan, the former head of the U.S. International Development Finance Corp., an agency set up in the first Trump term to invest in foreign projects deemed in the U.S. national interest.

    Since the report’s last documented loan in 2023, U.S. scrutiny has gotten better. Screening mechanisms, such as the interagency Committee on Foreign Investment in the U.S., got beefed up in 2020 to protect sensitive sectors in the economy.

    But China has gotten better, too, in part by setting up banks and branches overseas — more than 100 in recent years — that then lend to offshore entities, further clouding the origins of the money.

    “In places where there are more cops on the beat,” Parks said, “it has found ways to work around barriers to entry.”

    Where the loans ended up

    Chinese state bank financing has touched projects across the U.S., particularly in the Northeast, the Great Lakes region, the West Coast and along the Gulf of Mexico, which Trump has renamed the Gulf of America. Many loans targeted critical high-tech industries, according to the report.

    — In 2015, for instance, Chinese state-owned banks lent $1.2 billion to a private Chinese business to buy an 80% stake in Ironshore, a U.S. insurer whose clients included the Central Intelligence Agency and Federal Bureau of Investigation officials and undercover agents who might need help paying legal bills in case they got into trouble in their jobs.

    U.S. regulators were unaware of the Chinese government involvement because the financing was funneled through a Cayman Island business with no obvious ties to China, according to the report. U.S. officials later realized the Chinese government could access information and ordered the Chinese buyer to divest.

    — That same year, the Chinese government published “Made in China 2025,” a list of 10 high-tech areas, such as semiconductors, biotechnology and robotics, where it wanted to reach 70% self-sufficiency within a decade. The next year, in 2016, the Export–Import Bank of China, a policy bank, provided $150 million in loans to help a Chinese company buy a robotics equipment company in Michigan.

    After China’s adoption of the manufacturing master plan, the percentage of projects targeting sensitive sectors such as robotics, defense, quantum computing and biotechnology rose from 46% to 88% of China’s portfolio for cross-border acquisition lending, according to AidData.

    — In 2017, a Delaware private equity firm using a Cayman Islands company tried to buy a U.S. chip maker; the deal was blocked when investigators discovered both companies were owned by a Chinese state-owned enterprise. That same Delaware company successfully bought a U.K. semiconductor maker that had to be divested when British authorities found out.

    — And in 2022, the U.K. forced a Chinese company to divest another sensitive British firm in the industry, a designer of chips in Apple phones but potentially adaptable for military systems. The Chinese company had bought it through a company in the Netherlands that they owned. That Dutch firm is now accused of withholding semiconductors vital to automakers in the U.S.-China trade war.

    Following the money

    To trace China’s hidden lending, AidData dug through regulatory filings, private contracts and stock exchange disclosures in more than 200 countries written in multiple languages.

    The effort to track China’s state loans and investment started more than a decade ago when Beijing launched its Belt & Road Initiative to build infrastructure in developing countries. The project expanded sharply three years ago when the AidData team, which eventually grew to 140 researchers, realized many of the loans were landing in advanced economies such as the U.S., Australia, the Netherlands and Portugal, where acquisitions could allow it to access technology that Beijing considers essential to its global rise.

    The report says the findings show a shift in the use of state credit from promoting economic development and social welfare to gaining geo-economic advantages.

    “There’s global concern that this is part of a concerted effort to gain control over economic chokepoints and use this leverage,” said Brad Setser, an adviser to the U.S. Trade Representative in the Biden administration. “It’s important that we understand what they’re doing, and they don’t make it easy.”

    ___

    Condon reported from New York.

    [ad_2]

    Source link

  • New analysis shows more US consumers are falling behind on their utility bills

    [ad_1]

    WASHINGTON — More people are falling behind on paying their bills to keep on the lights and heat their homes, according to a new analysis of consumer data — a warning sign for the U.S. economy and another political headache for President Donald Trump.

    Past due balances to utility companies jumped 9.7% annually to $789 between the April-June periods of 2024 and 2025, said The Century Foundation, a liberal think tank. The increase has overlapped with a 12% jump in monthly energy bills during the same period.

    Consumers usually prioritize their utility bills along with their mortgages and auto debt, said Julie Margetta Morgan, the foundation’s president. The increase in both energy costs and delinquencies may suggest that consumers are falling behind on other bills, too.

    “There’s a lot of information out there about rising utility costs, but here we can actually look at what that impact has been on families in terms of how they’re falling behind,” Margetta Morgan said.

    Troubles paying electricity and natural gas bills reflect something of an economic quandary for Trump, who is promoting the buildout of the artificial intelligence industry as a key part of an economic boom he has promised for America. But AI data centers are known for their massive use of electricity, and threaten to further increase utility bills for everyday Americans.

    These troubles also come as Trump faces political pressure from voters fed up with the high cost of living.

    Ever since Republicans saw their fortunes sag in off-year elections this month and affordability was identified as the top issue, Trump has been trying to convince the public that prices are falling. Fast-rising electricity bills could be an issue in some congressional battlegrounds in next year’s midterm elections.

    Trump has put a particular emphasis on prices at the pump. Gasoline accounts for about 3% of the consumer price index, slightly less than the share belonging to electricity and natural gas bills — meaning that possible savings on gasoline could be more than offset by higher utility bills.

    The president maintains that any troubling data on inflation is false and that Democrats are simply trying to hurt his administration’s reputation.

    “In fact, costs under the TRUMP ADMINISTRATION are tumbling down, helped greatly by gasoline and ENERGY,” Trump posted on social media Friday. “Affordability is a lie when used by the Dems,”

    Nearly 6 million households have utility debt “so severe” that it will soon be reported to collection agencies, according to the foundation’s analysis, drawn from the University of California Consumer Credit Panel.

    During Trump’s first six months in office, there was a 3.8% increase in households with severely overdue utility bills.

    “Voters are frustrated and families are hurting because these tech giants are cutting backroom deals with politicians, and it’s causing their power bills to go up,” said Mike Pierce, executive director of the advocacy group Protect Borrowers, which contributed to the analysis. “If the Trump administration doesn’t want to do its job and protect families and make life more affordable, I guess that’s its choice.”

    Both Margetta Morgan and Pierce previously worked at the Consumer Financial Protection Bureau, a government agency formed in part to track trends in household borrowing to prevent potential abuses. The Trump administration has essentially shut down the bureau.

    The administration has so far said it has no responsibility for any increases in electricity prices, since those are often regulated by state utility boards. The White House maintains that utility costs are higher in Democratic states that rely on renewable forms of energy.

    “Electricity prices are a state problem,” Treasury Secretary Scott Bessent told ABC News this month. “There are things that the federal government can control. Local electricity prices are not one of them.”

    The Century Foundation analysis counters that the Trump administration is contributing to higher utility costs “by impeding renewable energy generation” including solar and wind power.

    While the new analysis is a warning sign, other economic analyses on consumers suggest their finances are stable despite some emerging pressures.

    The New York Federal Reserve has said delinquency rates of 90 days or more for mortgages, auto loans and student debt have each increased over the past 12 months, though it said mortgage delinquencies are “relatively low.” An analysis of debit and credit card spending by the Bank of America Institute showed that consumers’ “overall financial health looks sound.”

    [ad_2]

    Source link

  • Wall Street scrambles back from a big morning loss as Nvidia and bitcoin swing

    [ad_1]

    NEW YORK (AP) — An early swoon shook the U.S. stock market on Friday, as Nvidia, bitcoin, gold and other high flyers swung on an increasingly antsy Wall Street, but it quickly calmed.

    After starting the day with a sharp drop of 1.3%, the S&P 500 erased all of it and then meandered up and down before finishing with a slight dip of 0.1%. The Nasdaq composite flipped to a gain of 0.1%, while the Dow Jones Industrial Average trimmed its loss to 309 points, or 0.7%, after earlier being down nearly 600.

    AI stocks were again at the center of the action, a day after dragging Wall Street to one of its worst drops since its springtime sell-off. Nvidia, which has become the poster child of the frenzy around artificial-intelligence technology, began the day with a loss of 3.4%. It then stormed back to a rise of 1.8% and yanked the market in its wake.

    Critics have been warning that the U.S. stock market could be primed for a drop because of how high prices have shot since April, leaving them looking too expensive. They pointed in particular to stocks swept up in the AI mania. Nvidia’s stock has more than doubled in four of the last five years, for example, and the chip company is still up more than 40% for this year so far.

    Even with sharp swings for the S&P 500 the last couple of weeks, the index that dictates the movements for many 401(k) accounts remains within 2.3% of its record set late last month.

    “Occasional market drops are the price of the ticket for the ride,” said Brian Jacobsen, chief economist at Annex Wealth Management.

    Outside of tech, Walmart edged down 0.1% after saying CEO Doug McMillon will retire in January in a surprise move. It had been down as much as 3.6% in the morning. McMillon helped the retailer embrace technology more.

    All told, the S&P 500 fell 3.38 points to 6,734.11. The Dow Jones Industrial Average dropped 309.74 to 47,147.48, and the Nasdaq composite rose 30.23 to 22,900.59.

    One way companies can tamp down criticism about too-high stock prices is to deliver solid growth in profits. That’s raising the stakes for Nvidia’s profit report coming Wednesday, when it will say how much it earned during the summer.

    If it falls short of analysts’ expectations, more drops could be on the way. That would have a big effect on the market because Nvidia has grown to become Wall Street’s largest stock by value. That gives Nvidia’s stock movements a bigger effect on the S&P 500 than any other’s, and it can almost single-handedly steer the index’s direction on any given day.

    Another way for stock prices broadly to look less expensive is if interest rates fall. That’s because bonds paying less in interest can make investors willing to pay higher prices for stocks and other kinds of investments.

    Treasury yields had been falling for most of this year on expectations that the Federal Reserve would cut its main interest rate several times. And the Fed has indeed cut twice already in hopes of shoring up the slowing job market.

    But questions are rising about whether a third cut will actually come after the Fed’s next meeting in December, something that traders had earlier seen as very likely. The downside of lower interest rates is that they can make inflation worse, and inflation has stubbornly remained above the Fed’s 2% target.

    Fed officials have pointed to the U.S. government’s shutdown, which delayed the release of updates on the job market and other signals about the economy. With less information and less certainty about how things are going, some Fed officials have suggested it may be better just to wait in December to get more clarity.

    In the bond market, the yield on the 10-year Treasury rose to 4.14% from 4.11% late Thursday.

    Bitcoin is one of the investments that can get a boost from lower interest rates. It fell below $95,000, back to where it was in May. It had been near $125,000 only in October.

    The price of gold, meanwhile, sank 2.4%. It shot to records throughout the year as investors looked for something that could protect from high inflation and big debt loads built by the U.S. and other governments worldwide. But interest rates staying higher can hurt gold, which pays its investors nothing in interest or dividends.

    In stock markets abroad, indexes dropped across Europe and Asia. South Korea’s Kospi fell 3.8% for one of the world’s largest losses.

    London’s FTSE 100 sank 1.1% amid speculation the U.K. government may ditch plans to raise income taxes, which would have helped chip away at its debt.

    ___

    AP Writer Teresa Cerojano contributed.

    [ad_2]

    Source link

  • Samsung and other South Korean firms pledge larger domestic investments after US tariff deal

    [ad_1]

    SEOUL, South Korea — SEOUL, South Korea (AP) — Samsung Electronics and other major South Korean companies on Sunday announced fresh domestic investment plans at a meeting with President Lee Jae Myung, who hopes the moves will counter concerns that the firms would prioritize U.S. investments under a trade deal.

    Lee’s meeting with business leaders came days after his government finalized a trade deal with the United States, in which Seoul pledged to invest $350 billion in U.S. industries in exchange for averting the Trump administration’s highest tariffs.

    Samsung, a global leader in computer chips, said it will invest 450 trillion won ($310 billion) over the next five years to expand its domestic operations, including building another production line at its Pyeongtaek manufacturing hub to meet surging global semiconductor demands fueled by artificial intelligence.

    Samsung said the new line, set to begin operations in 2028, is part of its broader effort to secure additional production capacity in anticipation of rising mid- to long-term demands for memory chips. The company also plans to build AI data centers in the country’s southwest South Jeolla Province and the southeastern city of Gumi to support government efforts to reduce the development gap between the greater Seoul metropolitan area and other regions.

    Hyundai Motor Group, South Korea’s largest automaker, said it plans to invest 125 trillion won ($86.3 billion) from 2026 to 2030 to expand domestic research and development and advance new technologies such as AI, robotics and self-driving cars.

    SK Group, another semiconductor powerhouse, and shipbuilders Hanwha Ocean and HD Hyundai also announced plans to increase their domestic investments. Both are central to South Korean commitments to boost the U.S. shipbuilding industry, a sector highlighted by President Donald Trump in negotiations with Seoul.

    In his meeting with the companies’ chiefs, Lee credited the business sector for helping his government negotiate the trade deal with Washington but urged the companies to maintain strong domestic investments to ease concerns they might cut spending at home to invest more in America. He said his government is exploring various policy steps, including easing regulations, to help create a more favorable business environment for the companies.

    SK Chair Chey Tae-won, whose group plans to invest at least 128 trillion won ($88.3 billion) domestically through 2028 with a focus on AI, said the finalization of trade talks with the United States eases uncertainties and paves way for bolder domestic investment.

    The two governments on Friday released the details of the trade agreement, including $150 billion in South Korean investments in the U.S. shipbuilding sector and an additional $200 billion in other American industries, which Seoul says will be capped at $20 billion per year to prevent financial instability.

    The United States agreed to reduce tariffs on South Korean cars and auto parts from 25% to 15%, and to apply tariffs on South Korean semiconductors on terms “no less favorable” than those granted to comparable competitors in the future.

    [ad_2]

    Source link