A year ago, most large companies were running artificial intelligence (AI) pilots and calling it progress. Now they\u2019re reporting numbers.<\/p>\n
One in four S&P 500 companies reported<\/a> least one quantifiable AI impact in the Q1 2026, up from 13% in the same period a year earlier. Finance ranked second by sector at 40%, nearly triple its 15% from 2025. Tech led at 42%.<\/p>\n PYMNTS CEO Karen Webster<\/a>\u00a0wrote<\/a> in January that the debate about whether AI delivers had largely been settled by the end of 2025\u2014not through argument, but through use. Enough organizations had crossed from experimentation to deployment that CEOs and CFOs were discussing AI on earnings calls. The story in 2026, Webster wrote, would belong to companies that had already put AI to work and could show what changed, not by those still debating whether it was real.<\/p>\n The numbers support that read. In Q4 2024, just 16% of North American companies identified as AI adopters cited a quantifiable business impact in their earnings disclosures. By Q4 2025, that share had reached 30%, according to Morgan Stanley Research<\/a>. Analysts expect 74% to 90% of AI-related benefits over the next 12 to 24 months to come from cost efficiency rather than revenue growth.<\/p>\n From Pilots to Production<\/p>\n The speed of the transition caught many observers off guard. In August, 98% of chief product officers at billion-dollar companies said they were unwilling to grant autonomous agents any meaningful authority, according to PYMNTS Intelligence<\/a>. By November, the share of firms merely considering AI for core operations had dropped from 52% to 30%. Active deployment reached 23%. Nearly 40% of enterprise product leaders had given autonomous agents real access to systems that run the business.<\/p>\n The fastest movement came outside technology. In goods and manufacturing, almost no companies had live deployments in August. Nearly one in five did by November, concentrated in supply chains, procurement and logistics. Services surged from 4% to 25% over the same period.<\/p>\n Advertisement: Scroll to Continue<\/p>\n \u201cSince the launch of ChatGPT in late 2022, AI has emerged as a defining force across markets, reshaping how companies operate, invest and compete,\u201d Morgan Stanley said.<\/p>\n Where the Readiness Gap Shows Up<\/p>\n The results don\u2019t mean adoption is smooth. The harder problem, as enterprise AI moves to scale, is the company itself.<\/p>\n