Benchmark
Stanford's annual report tracking global AI progress, including model performance, investment, policy, and talent trends across countries.
Senior roles drove 71% of the rise in US software job postings in the year to May 2026, Indeed Hiring Lab data show. Postings are still 27.5% below pre-pandemic levels, and the new openings favor experienced people who can check AI-written code over juniors.
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Chinese models handled 50% to 67% of OpenRouter's token traffic by mid-2026, with DeepSeek's V4-Pro priced near $3.96 per million output tokens. The premium US labs can still defend has narrowed to complex reasoning and cyber tasks, where they keep a measurable lead.
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Kion's chief executive argues in Forbes that tokens need cloud-style FinOps discipline, citing a 286-fold fall in per-token inference cost alongside LLM spending that tripled in 2025 and 93 percent of surveyed firms overrunning their AI budgets.
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An Entrepreneur contributor column asks managers to list the ten recurring tasks behind a requisition and sort them into judgment, relationship, repetition and coordination work. Its supporting studies measured support agents and consultants.
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DeepSeek's first CFO arrives with CITIC Securities engaged and a 2027 listing as the goal. The near-term cash is a 50 billion yuan private round, and the two published accounts of June's valuation differ by nearly seven times.
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Stanford's education chapter measures how many American students are guessing at their school's AI rules. The written policy is the thing product teams have to design around.
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The three figures count firms, employment and individual workers, and the Census Bureau declared its own earlier adoption numbers incomparable after one clause in the question changed. Boards borrow such numbers to set targets.
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AI skills appear in 2.5% of US job postings, roughly a million of them, and the two most-cited estimates of what they add to pay within the same occupation differ by more than two to one, with only one of them expressed in dollars.
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Cryptopolitan reports that the NVIDIA chief told Goldman's conference his stakes in OpenAI and CoreWeave are small next to the demand they create, and the two disclosed equity cheques do come to only $32bn.
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Two vehicles raised days apart put $9.6bn behind AI, and the smaller one buys into a layer where a16z says rack power runs from 250 kilowatts today to a megawatt within three years. Supply, on the firm's own numbers, grows 20-30% a year.
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A reported examination sweep has landed on a market where two issuers alone carry roughly $2.28 trillion of estimated paper value. Both issuers say they never authorised the vehicles selling access to their shares.
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DeFiLlama now marks the two labs at $2.28 trillion against an implied $544 billion a year ago, which leaves every bank pitching an AI listing to price against a reference no public order book has tested.
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Oxford Economics has US corporate AI spending up 40% and the euro area up 12% by end-2027. Compound both and the divergence is under four points a year. The BIS warning is about four companies.
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Per-token prices fell about 200x since GPT-4's launch while US enterprise AI spend tripled to $37 billion. Tokenizer variance, reasoning tokens and tier discounts are where the bill diverges.
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Seoul wants top-three status by 2035 on more than 1,000 trillion won. The inaugural director of its National AI Research Hub says the money is budgeted on the wrong clock.
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