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Thursday

  1. Stanford HAI News

    Stanford HAI launches AI economic indicators dashboard to track AI's real-time impact on the labor market

    The Stanford HAI Digital Economy Lab launched a set of monthly dashboards called AI Economic Indicators in June 2026 to track AI's economic footprint in real time. Data shows that employment in AI-exposed occupations such as software development and customer service has fallen by more than 4% this year, and employment of young workers aged 22 to 25 in these fields has declined by more than 3% annually since ChatGPT was released in November 2022, with the decline widening to 4.4% in recent months. The dashboard integrates statistics from private companies, academic institutions, and government data, and is divided into the Transformation Tracker, which monitors 12 macroeconomic indicators; the Canaries Dashboard, which provides early warnings based on ADP Research payroll data; and the Adoption Monitor, which uses surveys to track generative AI adoption rates.

    The Stanford HAI Digital Economy Lab launched a set of monthly dashboards called AI Economic Indicators in June 2026 to track AI's economic footprint in real time. Data shows that employment in AI-exposed occupations such as software development and customer service has fallen by more than 4% this year, and employment of young workers aged 22 to 25 in these fields has declined by more than 3% annually since ChatGPT was released in November 2022, with the decline widening to 4.4% in recent months

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    #academic#English text is being prepared.#English text is being prepared.#Papers/Research

Tuesday

Monday

  1. Electronic Technology ApplicationSelected

    Morgan Stanley Releases 2027 AI Capital Expenditure Flow Chart: Nvidia Alone Captures Two-Thirds of S&P 500 Benefits

    Morgan Stanley strategists Nick Lentini, Mike Wilson and others released the report "Tracking the $1.6 Trillion AI Money Flow," which for the first time traces hyperscalers' $1.58 trillion in 2027 capital expenditure line by line to specific companies' revenue. The report says AI capital expenditure will drive about 25% of S&P 500 sales growth, of which about two-thirds, or roughly $690 billion, flows to Nvidia, while the other 499 constituents together account for about $339 billion. The report also notes that hyperscalers have disclosed more than $1.1 trillion in lease commitments not yet commenced, which are economically equivalent to debt financing, and projects that 2027 will be the year with the largest free cash flow gap for them.

    Morgan Stanley strategists Nick Lentini, Mike Wilson and others released the report "Tracking the $1.6 Trillion AI Money Flow," which for the first time traces hyperscalers' $1.58 trillion in 2027 capital expenditure line by line to specific companies' revenue. The report says AI capital expenditure will drive about 25% of S&P 500 sales growth, of which about two-thirds, or roughly $690 billion, flows to Nvidia, while the other 499 constituents together account for about $339 billion. The report

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    #chinese#Industry news#English text is being prepared.#Papers/Research

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