News about artificial intelligence

Reply [EXM, STAR: REY] is among the first NVIDIA partners worldwide to earn the Physical AI Specialization within the NVIDIA Partner Network, recognizing its expertise in deploying AI-driven robotics and digital twins in real operating environments. The award followed a technical assessment covering a customer implementation, solution architecture, certified OpenUSD expertise and its development roadmap. A current example is Roboverse Reply's work with Otto Group and NVIDIA on a virtual control system at the Hermes Fulfilment logistics centre in Loehne, Germany, which connects autonomous mobile robots from different manufacturers to fleet-management and warehouse systems. Simulating and validating new layouts and workflows in NVIDIA Omniverse and Isaac before deployment speeds integration, reduces the risk of testing in live operations, and provides a blueprint for other Otto Group sites.

The article highlights three stocks where discounted cash flow models suggest value above current prices. Amazon.com's AWS generated about USD 148.4 billion in revenue and grew roughly 20% in 2025, which the article attributes to AI demand, with a market cap of about USD 2,696.6 billion. Gamma Communications, whose enterprise operations contribute about GBP 136 million in annual revenue, sells cloud calling and connectivity tools with recurring cash flows. Yadea Group Holdings generated about CNY 34.1 billion from electric two-wheelers and trades below SWS DCF fair value, though the article notes an unresolved pressure on future margins.

Mortgage holders should expect interest rates to stay high for longer, whether or not the Reserve Bank of Australia (RBA) raises them again on Melbourne Cup day. The RBA says intense global competition for capital from AI and data centre companies is lifting the neutral rate, and Assistant Governor Christopher Kent said there is reasonable evidence neutral rates are rising in Australia and abroad. At 4.6%, the cash rate is the highest in 15 years; markets still almost fully price in another rise by mid-2027 and do not expect rates to fall before mid-2028. CBA chief economist Luke Yeaman said heavy government and AI spending makes rates less effective at curbing demand, while HSBC chief economist Paul Bloxham urged the federal government to cut spending in its mid-year fiscal update in December.

Mortgage holders should expect interest rates to stay higher for longer, whether or not the RBA hikes again on Melbourne Cup day. Assistant Governor Christopher Kent said neutral rates are rising in Australia and abroad, driven by intense global competition for capital from AI and data centre companies. The cash rate is 4.6%, its highest in 15 years, and markets have almost fully priced in another rise by mid-2027 and do not expect rates to fall below current levels until at least mid-2028. The term premium has climbed to a 12-year high, tightening financial conditions. Federal government spending reached 26.9% of GDP in 2025/26, the highest in 40 years excluding COVID-19, which economists say is weakening the effectiveness of interest rates in curbing demand.

Mortgage holders should expect interest rates to stay high for longer, whether or not the Reserve Bank of Australia (RBA) raises them again. The RBA warns that intense global competition for capital from AI and data centre companies is pushing up the neutral interest rate, and assistant governor Christopher Kent says there is reasonable evidence neutral rates are rising in Australia and abroad. The cash rate is 4.6%, its highest in 15 years, and markets do not expect rates to fall below current levels until at least mid-2028, with another rise by mid-2027 almost fully priced in. The term premium has climbed to a 12-year high, and Commonwealth Bank chief economist Luke Yeaman argues that higher government and AI spending makes rates less effective at curbing demand. Federal government spending reached 26.9% of GDP in 2025/26, the highest in 40 years excluding COVID-19, and HSBC's Paul Bloxham urges further spending cuts in the mid-year fiscal update expected in December.

World, the project backed by Sam Altman, has rolled out biometric verification badges for Zoom enterprise users to combat AI deepfake impersonation and fraud. Its World ID for Zoom is now available in the Zoom Marketplace and compares an image captured by its iris-scanning Orb, a live selfie and the participant's video feed before displaying a Human Badge to other meeting participants. The feature had been in limited beta testing with VanEck Funds since April and is now available globally to Zoom enterprise customers. Bain Capital and Pantera Capital were named as initial design partners. The rollout follows incidents such as a 2024 case in which an Arup employee transferred about $25 million after scammers impersonated executives during a video conference, and a February incident in which suspected North Korea-linked hackers used fabricated video feeds in fake Zoom meetings.

The author says Iren (IREN) is the AI stock he would hold through the next bubble scare, and that he is buying it now. The author argues that many bearish concerns about Iren and the neocloud sector are actually bullish: Gartner projects 80% of neoclouds will stop operating independently by 2030, which would make Iren's capacity more valuable, while CoreWeave's corporate bond yields of 15% reflect its weaker balance sheet, with a current ratio of 0.46 versus Iren's 3.55. Iren has a 5.8-gigawatt pipeline, customer prepayments covering 45% to 55% of GPU capital expenditures, and expects to deliver 300 megawatts in 2026 and 800 megawatts by the end of 2027. Earnings from Meta, Tesla, Alphabet, Microsoft and Amazon later this month should show whether AI spending keeps rising.

Elon Musk told biographer Walter Isaacson, in a podcast interview reported by Axios, that the US national debt can only be solved with AI and robots, not by trying to save its way out. Musk said his time leading the Department of Government Efficiency (DOGE) showed how hard it is to cut the deficit from within government, because cutting wasteful spending means you make a lot of enemies. The U.S. national debt stood at roughly $40.39 trillion as of Oct. 15, according to Treasury data cited in the report. He added that he should have focused on AI sooner and been more in the background during his time in the Trump administration. The article also notes Tesla's shift toward robotics, and Musk's claim that AI and robots could enable universal high income, a view criticized by NYC Mayor Zohran Mamdani and Sen. Bernie Sanders.

Accenture is reportedly considering selling its Greater China business, which covers mainland China, Hong Kong and Taiwan, in a deal that could value it at up to $1.5 billion, according to the Financial Times. The potential divestment is part of a push to sharpen strategic focus amid uncertainty over how AI will reshape consulting. The company has hired JPMorgan to explore options after receiving unsolicited interest over the past year, with private equity firms and select strategic buyers expected to evaluate a deal, and it may keep a significant minority stake, though the review may not lead to a transaction. Operations in China have grown more complex due to regulatory hurdles and tighter data security rules, while a sale could free capital for AI acquisitions, client pricing and shareholder returns. Accenture reported global revenue of $74.2 billion for the financial year ended in August, and its shares have risen 85% from their June low.

The 5th GMIF Innovation Summit (GMIF2026) concluded in Shenzhen, co-hosted by the Shenzhen Memory Industry Association (SMIA) and the School of Integrated Circuits at Peking University, under the theme 'The Future Built on AI Memory and Storage.' As AI shifts from training to large-scale inference, tokens are becoming a unit of value, making memory and storage bandwidth, capacity and energy efficiency key to system performance and cost. Morgan Stanley's Daniel Yen projected that more than half of cloud data center capex will go to memory and storage (excluding HBM) by 2027, and identified six paths to overcome the 'memory wall.' Speakers from Peking University, Samsung, Sandisk, Solidigm, Arm and Silicon Motion said HBM remains central to high-end AI but is constrained by yield, cost and thermal limits, pointing to NAND-based high-bandwidth options, tiered storage and liquid cooling. The summit also highlighted that value-chain collaboration is becoming a deeper partnership built around workload requirements and joint scenario validation.

LPBank won the 'Inspirational Brand' award at the Asia Pacific Enterprise Awards (APEA) 2026, organized by Enterprise Asia on October 15, recognizing its transformation in branding, governance, products, services and social responsibility. The bank has made AI-first its core strategy, launching the LPBank Plus digital banking app on March 28 under a '3S' model (Simple - Smart - Safe), along with the LP Pay AI transfer assistant and Lumi, a 24/7 multichannel customer service system that automatically handles about 70-80% of common requests. For businesses, LocPhat Pay offers QR payment integration, real-time transaction updates and multi-store management. On community work, LPBank allocated nearly 300 billion VND to social welfare and community development in 2025, and contributed 150 billion VND in 2024-2025 to the 'Cả nước chung tay xóa nhà tạm, nhà dột nát' program in Hà Giang, Đăk Lăk and Thái Nguyên. The article also lists other 2026 honors, including Top 6 Private Banks with the largest state budget contributions and Top 500 Fastest-Growing Enterprises in Vietnam.

The 5th GMIF Innovation Summit (GMIF2026) was held in Shenzhen under the theme 'The Future Built on AI Memory and Storage', co-hosted by the Shenzhen Memory Industry Association and the School of Integrated Circuits at Peking University. Daniel Yen of Morgan Stanley projected that more than half of cloud data center capex will go to memory and storage (excluding HBM) by 2027, and outlined six innovation paths to overcome the 'memory wall'. Prof. Yimao Cai said HBM remains central to high-end AI compute but is limited by yield, cost and thermal constraints, pointing to NAND-based high-bandwidth technologies such as HBF as a major research focus. Samsung's Kevin Yoon said AI agents are generating massive KV cache demand, while Sandisk's Maya Zhang called this the first year of the 'inference boom', in which SSDs act as a 'token battery'.

From October 30, 2026, businesses using Meta's commercial tools will automatically grant Meta permission to deploy bots that scan all their websites, domains and URLs to train AI, according to a report by The Register published October 16, 2026. The updated terms also let Meta create test credentials to access login-protected areas and shift copyright liability onto businesses, which must indemnify Meta if third parties sue. The News/Media Alliance, through its CEO Danielle Coffey, called the move overreaching and possibly illegal. Santa Clara University law professor Eric Goldman described it as a “Hobson's choice,” since businesses can only accept or leave the platform, and noted the terms do not commit to honoring robots.txt.

Elon Musk suggested Anthropic should distribute its shares directly to the public, responding to the company's plan to commit 5% of its equity to a new Public Benefit Fund, which could rise by 2% for every 50% increase in valuation above a baseline. Co-founders pledged to donate 80% of their equity, and Anthropic committed $200 million to address AI-driven labor disruption. Critics including David Sacks and investor Vijar Kohli questioned whether the LLC structure serves the public good or could dilute voting rights and complicate the IPO. Anthropic, which confidentially filed for a U.S. listing in June, reported third-quarter revenue of $16.8 billion, up 45% from the previous quarter, but some investors are discussing a valuation near $1.5 trillion, below earlier expectations of $2 trillion.

IMD professor Howard Yu says OpenAI and Anthropic may stay ahead of Chinese rivals, but a lead of roughly four to six months is 'very perishable' because most use cases don't need top-tier capability. He notes many companies use AI for simple tasks and weigh token spending against hiring, while cheaper Chinese open-source models can run inside a company's own data centers, a demand especially strong in Europe. Yu believes OpenAI and Anthropic will not be easily displaced in Western consumer markets thanks to easy access and clean interfaces, though enterprise buyers are more sophisticated. Polymarket traders still see U.S. labs leading, with Anthropic at about 43%, Alphabet at 42%, OpenAI near 8%, and Chinese labs around 1% or less to have the best AI model at end-2026.

Shares of ChangXin Memory Technologies (CXMT) fell 6.5% on Monday, even after the company forecast a sharp swing to profitability for January–September 2026. It expects net profit attributable to shareholders of 131 billion to 132.5 billion yuan ($19.58 billion), versus a net loss of 5.28 billion yuan a year earlier, on revenue of 265 billion to 270 billion yuan. The company attributed the improvement to surging AI computing demand that has boosted the global DRAM market, causing supply shortages and sharp price increases. CXMT now accounts for 10% of global DRAM revenue in Q3 2026, up from 5% a year earlier, according to Counterpoint Research.

The author says that if he could own only one AI memory stock for the next five years, he would choose SK Hynix (SKHY) over Micron (MU). According to Counterpoint Research, SK Hynix accounted for 50% of global HBM revenue in the second quarter, nearly as much as Samsung and Micron combined, thanks to early investment in advanced memory packaging and manufacturing. The company began mass shipments of HBM4 in the second quarter and is developing HBM4E. Demand comes not only from Nvidia but also from AI hyperscalers such as Alphabet, Amazon, Microsoft, Meta, OpenAI and Anthropic, which are developing custom chips. The author notes that SK Hynix's valuation remains fairly modest on a forward P/E basis relative to its earnings growth.

Finance Minister Nirmala Sitharaman said excess liquidity and easy exits have contributed to the underperformance of India's equity market and may continue to do so, though she described the economy's fundamentals as “fine.” Benchmark indexes have fallen nearly 12% since January, and foreign portfolio investors have sold over $33 billion of direct Indian equities this year. Goldman Sachs data show India's weighting in the MSCI Asia Pacific ex-Japan index has dropped from 19% a few years ago to 10%, while Taiwan (29%) and Korea (22%) have attracted flows tied to AI. Sitharaman said India would not be hurt if the AI bubble bursts, that the country is “no longer a laggard” in frontier tech, and that investment is going into semiconductor manufacturing.

Anthropic said it plans to commit 5% of its shares to a new public benefit fund, subject to shareholder approval, and the board may add 2% for every 50% rise in company value above an undisclosed baseline. The company has already committed $200 million to studying AI's effects, and the fund may be used for large donations or 'bolder approaches' to AI-driven job displacement. The fund will be a wholly owned LLC rather than a 501(c)(3) nonprofit, and its equity will not be used for lobbying or political giving. An August Pew Research Center report found that 71% of U.S. adults think AI will lead to fewer jobs over the next two years. Anthropic told investors its third-quarter revenue stands at $16.8 billion ahead of a planned IPO reportedly slated for November, while Elon Musk recommended giving the shares directly to the public.

CoreWeave's stock dropped after a chart shared by Chamath Palihapitiya showed its bonds due 2032 yielding 15%, and Reuters reported its April notes due 2031 topped 16%. Rising yields signal growing market concern about default risk and whether neoclouds can earn returns above their cost of capital. That is a problem for Nvidia, which invested $2 billion each in CoreWeave and Nebius and agreed to buy CoreWeave's unused capacity through 2032. CoreWeave says its $104 billion contracted backlog covers its debt, while Nvidia's plan to finance up to $500 billion in AI build-outs faces bank objections over GPU residual values. The article notes Nvidia trades at about 23 times forward earnings, a level that may already reflect this financial pressure.

With US inflation at 3.7% in September, driven by higher energy costs, the article highlights three fast-growing, financially sound stocks from a screener. NVIDIA's Compute & Networking unit, which supplies GPUs and AI software to cloud and enterprise customers, generates about US$275.4b, versus US$27.6b from Graphics, and the company has a market value of roughly US$5,170.6b. The article says its margins could be undermined if a cheaper or more open alternative to CUDA gains uptake. AMD's Data Center business, serving hyperscale clouds with EPYC and Instinct chips, sits within a company valued near US$863.2b, and it has Helios AI system commitments from OpenAI, Meta and Anthropic. USA Rare Earth, an early-stage producer valued at about US$4b, focuses on rare earth minerals for electric vehicles and clean energy, and received a DOE award for a pilot-scale separations project in the US.

The article frames Meta's upcoming earnings as a test of investor confidence in AI-driven ad monetization, following a sharp pullback in Nvidia and the Nasdaq 100. It profiles three stocks it sees as positioned to benefit if that confidence holds, including Zeta Global (ZETA), an AI-focused marketing cloud with about US$1.6b in revenue and an US$8.0b market cap. Adobe, with a US$95.4b market cap, is also covered for its creative and marketing clouds that help brands design campaigns and measure performance. The piece flags an unresolved pressure on Zeta's model: balancing richer AI tools against long-term margins.

TSMC reported a strong third quarter driven by AI chip demand, with revenue up 51% in New Taiwan dollars and 41% in US dollars, and profit up 69% year over year. The stock still fell during the trading day after earnings, which the author attributes more to the broader market outlook than to the results. CEO C.C. Wei said demand is very robust with no sign of slowdown, and that the earlier guidance of a 50% CAGR for AI-related chip revenue from 2024 to 2029 may be too low. The author notes the stock trades at 18 times next year's earnings and 27 times trailing earnings; if TSMC meets 2027 expectations and the valuation holds at 27 times, that math implies a 50% rise, though the author stresses this is only arithmetic and not a certainty.

Wall Street has spent recent years rewarding nearly every company tied to AI, including hyperscalers, chipmakers, memory providers, cloud firms and equipment makers. A Columbia University estimate puts cumulative AI infrastructure investment and spending at about $9 trillion over 2025–2032, and says the sector would need more than $3.5 trillion in annual revenue by 2032 just to break even. The article argues that, as with the late-1990s telecom fiber build-out and 19th-century railroads, the biggest winners may be the businesses that use the infrastructure rather than those that build it, since builders often face overcapacity and weak returns. It points to industrial companies using AI for tasks such as predictive maintenance and logistics as potential beneficiaries, and presents the Industrial Select Sector SPDR ETF (XLI) as a complementary holding with a small allocation.

ASML reported record third-quarter 2026 revenue of €11.7 billion, up 56% year over year, with gross margin rising to 57.5% and EPS jumping 136% to €12.95, and it raised its full-year guidance. As the sole maker of EUV lithography machines for advanced chips, it benefits from AI data center demand, and customers do not expect supply to catch up with demand until at least 2028. The company forecasts about €14.7 billion in revenue for the current quarter, up 51%. The stock trades at 29 times forward earnings versus 20 times for the S&P 500, a premium the article argues is justified by expected 2026 earnings growth of 67%. The article also outlines a scenario in which earnings grow 45% a year in 2027 and 2028 and the multiple holds at 29x, implying a share price near $2,827 by 2028.

Broadcom (AVGO), with a market value of US$1.6 trillion, is competing with other AI chip clients such as Nvidia and Apple for capacity at TSMC, which is expanding its advanced manufacturing and reporting record profits in 2026. The article argues that access to TSMC's leading-edge lines is key for Broadcom to keep its edge in custom XPU and networking chips while scaling its VMware-based Private AI Cloud. The bullish case is that securing long-term wafer supply would strengthen the outlook for multi-year demand for AI XPU and Ethernet products. The bearish side is that TSMC acts as a chokepoint for Broadcom's lowest-margin, most capital-intensive products, so any allocation shortfall or pricing shift could pressure gross margins.

TSMC (TSM) shares rose 13.14% over the six months to October 15, following a record quarter in which revenue grew 41.2% to $46.7 billion and net income jumped 68.7%, mainly on AI-related chips. The company guides next-quarter revenue to $52.3–54.3 billion and full-year revenue growth of about 44%, with demand also coming from CPUs for AI servers and networking chips. Capex is planned at $60–64 billion for 2026 plus $100 billion for US expansion, while gross margin slipped from 67.7% to 66.4% during the 2nm ramp. The article warns that if customers cut AI spending before new fabs reach full production, both earnings estimates and valuation could come under pressure.

Alphabet (GOOGL) shares gained 3.43% over six months to October 15, but its 17.62x trailing P/E is misleading because reported earnings were inflated by large investment gains. Google Search revenue rose 17% to $63.3 billion in Q2 2026, even as ChatGPT and Claude offer alternatives to traditional search. Google Cloud revenue jumped 82% to $24.8 billion with a 35.6% operating margin, and its $514 billion backlog is more than half expected to convert to revenue over the next 24 months. About $99 billion of gains, largely unrealized, could reverse if valuations fall; a rough adjustment puts the trailing multiple near 26x, versus a 22.83x forward P/E.

Anthropic reportedly told investors at a private day that its revenue reached $16.8 billion for the three months ended Sept. 30, up 50% quarter over quarter, and that it was cash-flow positive and adjusted-profitable. That growth is slower than the 140% gain seen between the first and second quarters, and Jefferies had reportedly expected an annual revenue run rate of at least $80 billion. The company has delayed its IPO registration statement twice amid AI safety concerns and very heavy infrastructure spending. A Saxo Markets strategist says a valuation above $2 trillion would be about 30 times annualized Q3 revenue, making valuation the main debate. The article argues investors are now asking tougher questions about funding, cost of capital and returns, so these results may not impress them much.

At the IMF and World Bank annual meetings in Bangkok, IMF Managing Director Kristalina Georgieva warned that AI-boosted cybercrime could undermine trust in the financial system, citing hackers who pushed French supermarket fridges to 50C and spoiled food. She worried that many people could end up keeping cash in shoeboxes under their beds. JPMorgan CEO Jamie Dimon said the bank would not allow AI agents to operate on customers' behalf, while agents that move deposits to chase the highest savings rates could trigger rapid withdrawals and raise unresolved questions about liability. Bank of England Governor Andrew Bailey said, “If we don't have trust in money, we don't operate as a society.” The column says financial policymakers are alarmed by the collision between fast-moving AI and a financial system that now extends well beyond heavily regulated banks.

Chris Thomas, a Pittsburgh business owner, wears Meta glasses, a Fieldy pendant and an Amazon Bee wristband to record and organize his daily life. A bystander at a bar objected because he could not be sure the devices were off, so Thomas now takes them off completely. More always-listening AI devices are emerging, including Amazon's Bee Frontier and Bee Eclipse and Apple's Siri Recap on Apple Watch Series 12, raising concerns about covert recording without bystanders' consent. Unlike earlier smart speakers, some of these products interpret speech without retaining the underlying audio, leaving unresolved whether this could count as unlawful interception. Attorney Colin Zick says broadly worded state laws such as Massachusetts' could apply, and in some states the wearer may face greater legal risk than the manufacturer.

The page is a collection of analysis on artificial intelligence, online platforms, prices, jobs and trade, focused on what the evidence shows and where questions remain open. It covers research on generative AI and work, including which jobs are exposed and what productivity and employment data have shown so far. Other topics include AI-generated voices and images in politics, rules for robocalls and political ads, and how to check suspicious clips. It also explains what the Consumer Price Index measures compared with the PCE index the Fed targets, what a tariff is, who pays it, what research found about recent U.S. tariffs, and the laws presidents use to impose them.

Nvidia CEO Jensen Huang posted in September that "AGI has arrived," while many other tech leaders are more cautious about when AGI will be reached. AGI is described as AI capable of a skilled worker's performance in most jobs, whereas today's models still need supervision and cannot work reliably over long stretches. METR research found that top models succeed only about half the time on tasks that would take a person two workdays. Sam Altman says OpenAI is "not quite yet" at AGI but expects an internal system he would call AGI by year-end, while Sundar Pichai expects it shortly after 2030. Andy Jassy has not set a date, but AWS customers have signed $496 billion in contracts for future services.

Mastercard is testing an AI-agent initiation probability score in the United States, part of its Agent Pay Trust Framework, designed to answer whether a transaction is being initiated by an AI agent at all, rather than only verifying who the agent is. The score draws on Mastercard Decision Intelligence, which processes roughly 143 billion transactions a year, and combines Skyfire's Know Your Agent identity technology with intent, behavioral and fraud signals, while Cloudflare provides web visibility into AI agent activity. The article cites a vendor-reported PYMNTS finding that 93% of merchants think AI providers should bear losses on failed transactions, while only 28% are willing to expose their full inventory to agents. It concludes that liability for erroneous agent purchases remains unresolved.

TSMC's third-quarter revenue rose 41% year over year to $46.7 billion, with high-performance computing, which includes AI data center chips, making up 68% of sales. Management expects fourth-quarter revenue of $52.3 billion to $54.3 billion, about 58% year-over-year growth at the midpoint. CEO C.C. Wei said AI chip demand is still far above TSMC's supply capacity and that AI accelerator sales, forecast to grow at a mid- to high-50s percentage rate annually through 2029, will probably be higher, though TSMC is planning cautiously for 2027 and rising component prices could pressure its smartphone business, which accounted for 21% of third-quarter revenue. The stock, up about 39% year to date as of Oct. 15, 2026, trades at roughly 19 times analysts' 2027 earnings estimates, while Wall Street expects earnings to grow 38% annually over the next several years.

AI stocks had a brutal start to October: the Roundhill Neocloud ETF (NCLD) fell 31%, the iShares Semiconductor ETF (SOXX) dropped 13%, and the Defiance AI and Power Infrastructure ETF (AIPO) lost 14%. Rising borrowing costs, investor concern over neocloud leverage, and hot inflation readings that pushed bond yields near two-decade highs drove the sell-off. Baird's Ross Mayfield is overweighting healthcare, financials and energy as hedges, while still adding to hyperscalers and power infrastructure. Travis Prentice of Infomed Momentum favors agentic AI cybersecurity names like CrowdStrike, Okta and Palo Alto Networks, plus AI adopters such as MetLife and Visa. AllianceBernstein's James Russo is pivoting to quality stocks that don't rely on external borrowing, including larger hyperscalers, and chipmakers with durable competitive advantages.