A year ago, most large companies were piloting artificial intelligence (AI) and calling it progress. Now they are reporting the numbers.
One in four S&P 500 companies reported at least one quantifiable AI impact in Q1 2026, up from 13% in the same period last year. Financials came in second with 40%, almost triple the 15% in 2025. Technology topped the list at 42%.
Karen Webster, CEO of PYMNTS, wrote in January that the debate over whether AI is effective will largely be settled by the end of 2025, through use rather than discussion. Many organizations were experimenting with and implementing AI, with CEOs and CFOs discussing it on earnings calls. Webster writes that the story of 2026 belongs to companies that have already implemented AI and can show what has changed, not those who are still debating whether it is real.
The numbers bear that out. In Q4 2024, only 16% of North American companies identified as AI adopters cited quantifiable business impact in their revenue disclosures. According to Morgan Stanley Research, that share will reach 30% by the fourth quarter of 2025. Analysts expect 74-90% of AI-related benefits over the next 12-24 months to come from cost efficiencies rather than revenue growth.
From pilot to production
The speed of the transition caught many observers off guard. In August, 98% of chief product officers at billion-dollar companies said they were reluctant to grant meaningful powers to autonomous agents, according to PYMNTS Intelligence. By November, the percentage of companies considering AI for core operations had fallen from 52% to 30%. Active adoption reached 23%. Almost 40% of enterprise product leaders gave autonomous agents real access to the systems that run their business.
The fastest movements came from outside of technology. In products and manufacturing, few companies had live deployments in August. Nearly one in five were completed by November, focusing on supply chain, procurement and logistics. Services jumped from 4% to 25% over the same period.
Advertisement: SCROLL TO CONTINUE
“Since the announcement of ChatGPT in late 2022, AI has emerged as a defining force across markets, reshaping the way companies operate, invest, and compete,” Morgan Stanley said.
Where preparedness gaps appear
This result does not mean that the implementation will be smooth. As enterprise AI expands, the more difficult problem is the enterprise itself.
According to PYMNTS Intelligence, 71% of senior technology executives said their organizations limit AI performance more than technology. Additionally, 63% cite data quality as the most common barrier to faster adoption. When executives were asked to name just one barrier, integration with existing systems was cited as the biggest constraint.
The trust gap is even deeper. According to PYMNTS Intelligence, 99% of companies express confidence in their data governance, but only 15% say their data environments are largely integrated across the enterprise. AI is most deeply embedded in data and technology teams. Adoption among HR, strategy, risk, and supply chain teams remains less widespread.
in payments and finances
For finance and payments executives, sector data conveys specific signals. The share of companies reporting quantifiable AI impact rose from 15% to 40% in the financial sector in one year, the sharpest increase among non-tech sectors tracked by Morgan Stanley. This disclosure rate means finance teams are seeing quantifiable benefits, such as faster cycle times, lower error rates in back-office processing, and lower costs per transaction.
Morgan Stanley analysts predict that 89% of AI adopters expect to see significant benefits from cost efficiencies, compared to just 11% who will benefit from increased revenue over the next 12 to 24 months. Companies building on this ratio focus their investments on workflow automation, back-office processes, and operational cost reductions where ROI is easiest to measure, and use that data to justify widespread deployment.
For all PYMNTS AI and digital transformation coverage, subscribe to our daily newsletter. AI and Digital Transformation Newsletter.
