Inside Wharton’s 2025 AI Adoption Report: Accountability, ROI, and the Human Factor
2025 AI Adoption Report: Gen AI Fast-Tracks Into the Enterprise - Knowledge at Wharton
How Are Companies Using AI? A New Survey Has Answers
Now in its third year, the Wharton–GBK AI Adoption Study tracks how U.S. enterprise leaders are moving from experimenting with GenAI to embedding it into daily operations. Conducted across 800 senior decision-makers, the research measures year-over-year shifts in usage, ROI tracking, and workforce readiness. The goal is to provide clear benchmarks that show how people, processes, and performance are shaping the next phase of AI-driven growth.
Curiosity → Core Competency
AI use in the enterprise is no longer an experiment… It’s part of the daily workflow.
Over 80% of leaders use GenAI weekly, and half use it daily.
The key shift: companies are embedding AI into routine work (data analysis, document generation, research) rather than treating it as a separate “innovation” track.
Spending grows, but so does scrutiny
88% anticipate GenAI budget increases in the next year, yet money is moving from pilots to proven programs.
Enterprises are reallocating from legacy IT and consulting to internal R&D, signaling a pivot toward building proprietary copilots and data pipelines, not renting them.
Mid-market firms are the quiet frontrunners
Tier-2 enterprises ($250M - $2B) and smaller Tier 3 (<$250M) firms report faster ROI and greater agility than larger incumbents.
Their smaller size enables faster integration and clearer ownership.
The emerging talent bottleneck is real
60% of companies now have a Chief AI Officer
But, investment in training and upskilling slipping. Nearly half of leaders warn of skill atrophy even as they acknowledge AI’s productivity gains.
Tools are scaling faster than people
Governance is finally becoming THE STANDARD
Data-security and ethical-use policies have become standard, with 64% of firms already having adopted such policies and 61% implementing employee training and awareness programs.
Enterprises are increasingly using AI for risk management itself, such as for automating compliance, fraud detection, and cybersecurity oversight.
There’s a widening industry divide
Tech, banking, and professional services are extracting clear ROI, while retail and manufacturing are still lagging due to constraints on physical operations and slower data integration.
We have to figure out how to close this gap
AI optimism endures, but realism sets in
Those who have adopted AI are generally optimistic, but 52% of “laggards” remain cautious and 28% are still skeptical
2026 = inflection point
“Accountable acceleration” will scale as companies pair ROI discipline with human-capital investment and turn AI from a cost center into a growth engine.
80% of enterprise leaders expect GenAI investments to pay off within 2-3 years.
72% are already formally tracking ROI, and nearly 75% report positive returns.
The next competitive edge won’t come from who adopts AI fastest, but from who operationalizes it best.