Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise

Summary

Third annual cross-sectional survey from Wharton Human-AI Research and GBK Collective (Korst, Puntoni, Tambe; October 2025) tracking Gen AI adoption among US enterprise decision-makers (1000+ employees, >$50M revenue) across HR, IT, Legal, Marketing/Sales, Operations, Product/Engineering, Purchasing/Procurement, Finance, and General Management. Based on ~800 respondents interviewed 26 June – 11 July 2025, with comparison waves from 2024 (~800) and 2023 (~670).

The study narrates a three-stage trajectory: Exploration (2023) → Experimentation (2024) → Accountable Acceleration (2025). Three headline themes structure the 2025 findings:

Everyday AI — usage is mainstream. Weekly use reaches 82% (+10pp YoY), daily 46% (+17pp YoY). Self-reported competence has deepened, with double-digit gains in Operations (+24pp), IT (+13pp), Legal (+17pp). Adoption is broadest in repeatable, practical use cases (data analysis, document summarisation, editing/writing) that also receive highest performance ratings. Function-specific adoption patterns emerge: code writing in IT, recruitment/onboarding in HR, contract generation in Legal. IT and Purchasing/Procurement lead frequency; Marketing/Sales and Operations lag. VP+ respondents are markedly more optimistic than mid-managers (56% vs. 28% see their organisation adopting much faster than peers).
Proving value — ROI rigour replaces FOMO. 72% now track structured business-linked ROI metrics. 70% expect a major or revolutionary industry impact from Gen AI. 88% expect budget increases in the next 12 months; 62% expect >10% growth over 2–5 years. 75% already see positive returns, and 11% (+7pp) are actively reallocating from legacy IT and HR programmes. ~30% of Gen AI technology budgets are going into internal R&D, indicating in-house capability building.
The human capital lever. Executive ownership of Gen AI surged to 67% (+16pp); CAIO roles exist in 60% of firms. Guardrails (data security 64%, employee training 61%) are tightening. Yet training investment has fallen 8pp and confidence in training as the primary fluency path dropped 14pp. 43% of leaders warn of skill atrophy even as 89% see Gen AI as skill-enhancing. Junior/intern hiring impact is the most contested: 17% expect fewer intern hires vs. ~10% for mid-level+.

Bottom line: people, not tools, now set the pace. Talent, training, and trusted guardrails determine the speed at which usage converts to ROI.

Connections

Feeds concepts/ai-adoption with enterprise-side quantitative evidence.
Complements bottom-up usage studies sources/2025-handa-which-economic-tasks-ai and sources/2025-tomlinson-working-with-ai, which measure actual conversation-level usage rather than self-reported leader adoption.
Skill-atrophy concern (43%) aligns with experimental findings in sources/2026-shen-ai-skill-formation and sources/2026-shen-anthropic-coding-skills-post.
Productivity-measurement gap contrasts with sources/2025-becker-metr-ai-developer-productivity (RCT shows AI actually slows experienced OSS developers despite perceived speedup).
Rising CAIO governance connects to concepts/agentic-bpm discussions of organisational framing.
New entities: entities/jeremy-korst, entities/stefano-puntoni, entities/prasanna-tambe.