AI is eight layers. Most coverage reads only the top one. Strata maps all of them, from the power station at the bottom to the agent at the top, and every number on this site carries a source and a confidence label.
The layers
Band Rules and society: Laws, courts, export controls, and whether your neighbours will let you build.
L6 Applications and agents: The products people actually use. Coding assistants, support bots, agents that run for hours.
L5 Tooling and infrastructure: The plumbing between a model and a product. Serving, retrieval, agent protocols, evaluation.
L4 Models: The labs, their releases, and what a million words of output costs you.
L3 Iron and cloud: Servers, networks, and the companies that rent them to you by the hour.
L2 Silicon: The chips. Processors that do the maths, and the memory that feeds them.
L1 Power and land: Electricity, land, water, permits. Nothing above this exists without it.
Band Money: Who is paying, and with whose balance sheet. Cuts through every layer.
Latest
A startup that helps brands show up in AI chatbot answers raises $180 million at a $1.8 billion valuation
Profound, a startup that helps companies track and try to influence how they are mentioned when people ask AI chatbots for recommendations, raised 180 million dollars in a Series D at a 1.8 billion dollar valuation. That is less than seven months after its 96 million dollar Series C, which independent reporting valued at about 1 billion dollars, so the valuation has grown roughly 80 percent in that time, our own arithmetic from the two figures. Profound says it now serves over 1,000 enterprise brands and more than a third of the Fortune 100. If you research products online, this is part of why the answers AI chatbots give about brands are increasingly managed and optimised rather than neutral, the way search results already are.
AIUC, short for Artificial Intelligence Underwriting Company, raised 40 million dollars in a Series A led by Ribbit Capital with participation from First Harmonic, which takes its total funding to 55 million dollars alongside an earlier 15 million dollar seed. One founder was Anthropic's first product hire; the other was a partner in McKinsey's insurance practice and chief operating officer of the AI safety research group METR. The company has built a standard called AIUC-1 that tests how agents hold up against risks including jailbreaks, hallucinations and data leaks, using 5,000 risk and attack combinations. Its own release names Cursor, ElevenLabs, Harvey, KPMG, Lovable, UiPath and Fin as companies that certify against it. For most people nothing changes today; this is an attempt to build the kind of inspection standard insurers and large companies want before they rely on AI agents more heavily.
Euclyd, a Dutch startup building specialised chips for running already trained AI models rather than training new ones, signed a Series A financing round of more than 200 million euros, co-led by Samsung, Somerset Capital Partners and Scaleup Europe Fund. Peter Wennink, the former president and chief executive of ASML, the Dutch company that makes the machines used to manufacture advanced chips, joins as chairman. It is the second large round this month for a company betting that specialised, cheaper chips beat general purpose ones at running trained models, after Positron AI's 875 million dollars on 10 September, our own observation rather than a comparison Euclyd makes. For most people nothing changes yet; this money funds chip development.
Bell Canada and the government of Saskatchewan announced plans to expand Bell's AI Fabric data centre campus near Regina by up to 900 megawatts on top of the 300 megawatts already running, a path to 1.2 gigawatts if every phase is built. The two sides describe it differently, and the difference matters. Bell's own release calls it a non-binding memorandum of understanding, says total capital investment including buildings, the computers inside them and new power generation could exceed 50 billion dollars, and states that development would proceed in phases as customer commitments are secured and subject to commercial agreements, permits and approvals, with no assurance the expansion happens at all. Saskatchewan's government release calls it a historic 52 billion dollar expansion and one of the largest private-sector investments in the province's history, and does not use the words non-binding. If it goes ahead the concrete change for Saskatchewan is construction and operating jobs. For everyone else nothing changes unless the plan becomes a signed, funded project.
Texas Governor Greg Abbott directed the state's water agency, the Texas Water Development Board, to start enforcing a water-use reporting requirement against large water users including AI data centres. The governor's own release says the Texas Water Code requires recipients of a survey to complete and return it, that a data centre which fails to do so commits an offence punishable as a crime, that the board must refer non-compliant facilities to the appropriate county or district attorney, and that a facility which misses the deadline becomes ineligible for state environmental permits, amendments or renewals. The board itself cannot prosecute anyone, so it must report its enforcement progress to the governor's office by 14 October 2026. According to Texas Tribune reporting, compliance has been low for years: 32 percent of 22 data centres surveyed responded in 2023, 28 percent of 67 in 2024, and roughly 30 percent of 329 in 2025. By our count this is the governor's third directive on AI data centres since August.
Bitdeer, a company that started out mining bitcoin and has been shifting into renting out AI computing power, signed a ten year data centre services agreement for A202, a 65.1 megawatt facility on its existing campus in Johor Bahru, Malaysia. The company says this takes its secured AI cloud capacity, meaning capacity it owns or has under an executed agreement, to approximately 206.5 megawatts, about 59 percent of its target of up to 350 megawatts to be delivered by the first quarter of 2028, and that its active pipeline for AI cloud capacity is now estimated to exceed 7 billion dollars. A pipeline is potential business, not signed business. For most people nothing changes; this is infrastructure being built in Southeast Asia to rent computing power to AI companies.
Meta's data centre campus in Eagle Mountain, Utah has now drawn more than 3 billion dollars of the company's capital investment in Utah in total, the city government says. That is a cumulative figure built up since Meta arrived, not new money announced this week. Alongside it, a separate company, Lydian Energy, owns and operates a new 150 megawatt battery storage facility called Faraday that supports the site and the local grid. The city says Meta has contributed more than 6.2 million dollars to local schools and organisations to date. For Eagle Mountain residents this means continued local jobs and community funding tied to the campus. For everyone else, nothing changes.
NextEra and Dominion filed new paperwork with Virginia's utility regulator on 14 September, offering residential customers four years of 10 dollar monthly bill credits instead of two. The companies say the extension is funded mainly by redirecting credits that would have gone to large data centres, plus about 90 million dollars from shareholders, a figure reported by the Virginia outlet Cardinal News rather than stated in the filing. The package also raises Dominion's low income assistance programme by 100 million dollars through 2038, adds a 100 million dollar workforce fund, a Virginia supplier programme of up to 1 billion dollars a year for five years, and 1,000 direct jobs. Virginia regulators hold hearings in November and are expected to rule in January 2027, with the 67 billion dollar merger still targeted to close in the second half of 2027. If you are a Dominion Virginia customer this means a longer bill credit if it is approved. Anywhere else, it changes nothing for you.