Michigan's state utility regulator approved a new kind of power contract between DTE Electric, the state's largest utility, and Google for a data center Google is building in Wayne County. The deal runs for 20 years, four times longer than the 5-year contracts regulators normally require, and commits Google to pay for DTE to build up to 1,600 megawatts of solar and wind power plus 480 megawatts of battery storage. DTE says the arrangement will save its other customers about $1.7 billion, though that number comes from DTE's own filing to regulators, not an independent check. The data center is expected to start drawing power in December 2027. For everyday DTE customers in Michigan, the point of the deal is that Google, not them, pays for the new power plants built for its data center.
Enerflex, a company that builds power equipment, announced a contract to supply approximately 450 megawatts of natural-gas power generation directly at an undisclosed data center site in North America. The company said it will spend about $15 million this year and about $85 million more, mostly in 2027, to expand its ability to build this kind of equipment. The customer was not named. This is a reminder that much of the new power being built for AI data centers today is still gas, not renewables, because gas turbines can be installed faster than waiting for grid upgrades.
Fourteen Taiwanese banks, led by CTBC Bank, together lent NT$14.05 billion, about $445 million, to GMI Cloud to help build an AI data center in Taoyuan. GMI Cloud's own announcement of its wider $668 million financing round independently confirms the $445 million figure. Chinatimes and UDN name the other 13 banks in the syndicate, but their account of the 2.5-times oversubscription and the Taiwan-first claim traces to the same CTBC-arranged release as CNA's, not to separate reporting. For Taiwan, it is a sign that local banks, not just foreign investors, now see AI infrastructure as a safe enough bet to lend against directly.
GMI Cloud, a company that rents out AI computing power, raised $223 million in equity and a separate $445 million credit facility led by Taiwan's CTBC Bank, for a combined $668 million. The company said its contracted annual revenue has grown more than ninefold since the end of 2025. Most of the new money is debt, not equity, which means GMI Cloud is betting it can earn enough from renting out chips to pay the loan back. It's a sign that lenders, not just venture investors, are now willing to bankroll AI computing buildouts directly.
JERA, Japan's biggest power generator, has agreed with computer maker Dell and data-centre developer RHAELM to build a computing site worth more than $15 billion at JERA's existing Chiba power plant, instead of waiting for a new connection to Japan's electricity grid. The plan, still a non-binding agreement, would draw on up to 400 megawatts of power and aims to start operating around 2028. Building next to a power plant instead of waiting in a grid queue is a shortcut utilities and tech companies are increasingly using to get AI computing online faster. For anyone outside Japan, this doesn't change a bill today, but it's one more sign that the biggest constraint on building AI computers right now is finding power fast enough, not finding land or chips.
California's attorney general, Rob Bonta, has issued a subpoena requiring OpenAI, the company behind ChatGPT, to hand over information as part of a state investigation into cybersecurity incidents involving OpenAI's AI models. A subpoena is a demand for documents or testimony, not a finding that OpenAI did anything wrong. Bonta's office says AI companies have "a moral and legal responsibility" to make sure their products don't enable cyberattacks. If you use ChatGPT, nothing changes immediately, but this is a state regulator using its legal power to formally compel an AI lab to explain a string of agent-related security incidents.
Lambda, a cloud company that rents out Nvidia computer chips for AI work, has closed a $1.008 billion loan to pay for more of the computers it buys and leases out. The loan carries a fixed interest rate of 6.78 percent and is due in 2033, and is backed by the GPU servers themselves plus payments Lambda already has coming from two large customers it hasn't named. Borrowing against already-signed customer payments, rather than raising money by selling shares, is how several AI-cloud companies are funding their buildout right now; it means the computers get built, but it also means Lambda now owes over a billion dollars whatever happens to AI demand later.
US federal prosecutors have charged Greg Lui, a San Gabriel, California business owner, with shipping more than $300 million worth of advanced computer servers to China through Malaysia and Singapore without the export licenses US rules require for powerful chips, between 2023 and 2024. These are charges, not a conviction, and Lui has not yet had his day in court. Cases like this are the mechanism the US is using to try to keep its most advanced computing power out of reach of rival countries, even though enforcing it, one shipment at a time, is clearly hard.
Armadin, an AI cybersecurity startup led by CEO Kevin Mandia, has raised $255.5 million, valuing the company at more than $2.5 billion. The round was led by venture firms Andreessen Horowitz and Accel. The pitch is that AI agents can watch for and respond to cyberattacks faster than human security teams; investors are betting that AI-driven cybersecurity, on offence and defence alike, will be one of the most valuable uses of the technology.
arXiv, the website where scientists post research papers before formal publication, is now limiting each person to two new submissions a month, after AI tools helped nearly double the number of papers submitted over two years: 40,363 in September 2026, up from 20,569 in September 2024. arXiv says AI is making it easier to produce "low-value papers" faster than its volunteer moderators can check them. It's a small, unglamorous sign of a much bigger pattern: AI is speeding up how fast people can produce written work of all kinds, and the places built to handle human-paced output are having to adapt.
Microsoft prices its new transcription AI at an introductory 54 cents an hour
· L4 Models · $0.54/hr intro; 60 languages · Confirmed
Microsoft has launched a new AI model that turns speech into text in real time across 60 languages, pricing it at an introductory 54 cents per hour of audio through the end of the year, a price that could rise after that. It also launched two AI voice models, priced at $22 and $15 per million characters of text turned into speech. These are small, specific prices, but they matter because transcription and voice tools like these increasingly sit inside everyday products like captions, meeting notes and customer-service calls, so their cost shows up, eventually, in what those products charge you.
South Korea's trade ministry says the country exported $120.94 billion worth of goods in September, 83.5 percent more than a year earlier, the first time Korea's monthly exports have topped $120 billion. Semiconductors, the chips that power phones, computers and AI data centres, made up a record $60.3 billion of that, up 262.8 percent from a year ago. Korea makes a large share of the world's memory chips, so a number this large is a sign of how hard AI demand is pulling on that one country's factories, though it does not by itself change what anyone outside Korea pays.
SoftBank says it has now put a combined $64.6 billion into OpenAI, the company behind ChatGPT, after finishing a previously announced $30 billion in follow-on investment on October 1, 2026 (Japan time). The new money itself was already expected, but this is the first time SoftBank has said exactly how much of OpenAI it owns in total: about 13 percent. Nothing about ChatGPT changes for a user because of this; it is a disclosure about who owns how much of the company behind it.
Reuters reports, from a confidential IPO filing it says it has seen, that Broadcom has agreed to lend Anthropic, the AI company behind Claude, up to $42 billion, through debt Anthropic could later convert into its own shares. Reuters says this could cover about a third of a separate $125.2 billion, five-year deal Anthropic has made to lease Google-designed TPU chips. No prospectus is public yet, so this rests on Reuters' own account of a document it says it has seen, not a document this desk read directly.