At what stage and to what extent have non tech listed companies in the S&P 500 adopted AI? GPT conducted a detailed review of the latest financial reports of all S&P 500 constituent stocks since mid July regarding the adoption of AI 1) 305 companies explicitly mentioned the adoption of AI; 2) 125 companies listed on the S&P 500 have been able to disclose clearly quantifiable AI adoption benefits for 125 years (an estimated 85-90 non IT technology companies); 3) There are 67 US non IT listed companies that can verify the conservative lower limit, including: 32 companies provided hard indicators such as amount, profit margin, time, productivity, conversion rate, etc; 18 companies have provided deployment scales and clear operational effects, but have not yet disclosed complete financial bridging; 17 companies have clearly stated that they have implemented and produced results, but still rely mainly on qualitative disclosure. The changes that will occur in the second quarter of 2026 are: 1) At the task level, there has been a significant efficiency improvement of 30% to 98%; 2) Some companies have started disclosing annualized earnings ranging from tens of millions to hundreds of millions of dollars; 3) Income growth and population growth are beginning to decouple; 4) AI has shifted from assisting employees to executing complete workflows across systems; 5) Enterprises are taking the initiative to differentiate between gross savings, net savings, and reinvestment; 6) The most mature applications come from traditional industries, not just software companies. It can be said that: AI has generated verifiable operational benefits in a group of non tech enterprises with standardized processes, large data scales, and clear unit economics; About one-fifth of S&P's non IT companies are able to disclose quantitative effects, but the proportion of companies that truly map AI solely to clear profit margins and cash flows is still not high. The most worthwhile non tech AI samples for continuous tracking are divided into four groups: 1) The strongest financial cash out: WM, WCN, Equifax; 2) The strongest workflow refactoring: WTW, CVS, FIS, Visa, GE Aerospace; 3) The strongest decoupling between income and number of people: C.H. Robinson, American Express, JLL, ADP; 4) The strongest external AI commercialization: S&P Global, Nasdaq, Global Payments. For investment, the real winners are those companies that can complete the following closed loop: Exclusive data → AI models → embedding in core workflows → frequent use by employees and customers → improvement in operational metrics → reducing staff growth or increasing revenue → ultimately entering profit margins and free cash flow. WM and WCN have reached the final step; WTW, CVS, FIS, Visa, and GE are transitioning from workflow effects to financial effects; Retail, energy, and most healthcare companies are still in the stage of customer indicators or strategic options. Please refer to the detailed diagram below, especially the 12 distinct cases of AI adoption that are worth taking a good look at.