The hype cycle is over; the accountability era has arrived. We unpack how gen AI has moved from pilots to proof, with daily use now common among senior leaders and measurable ROI becoming the standard.

Pulling from the Wharton GBK Collective’s year‑three findings, Google Notebook LMs agents trace the three waves of adoption and show why “accountable acceleration” is the defining theme for late 2025.

TLDR / At A Glance:

Gen AI Usage Is Mainstream
- 82% use Gen AI weekly (+10pp YoY)
- 46% use it daily (+17pp YoY)
- ChatGPT (67%), Copilot (58%), Gemini (49%) dominate
- Interesting note: Gemini grew fastest (+9% YoY)
𝗥𝗢𝗜 𝗜s Now Table Stakes for Businesses
- 72% formally track ROI metrics
- 74% report positive returns
- 88% expect budget increases in next 12 months
- 60% now have Chief AI Officers - strategy has moved to the C-suite
- 30% of Gen AI technology spending now goes to internal R&D - enterprises are building custom solutions, not just buying off-the-shelf tools

Across functions, the story is clear: practical, repeatable work is getting faster. Data analysis, meeting and document summarisation, and everyday writing see the broadest gains, while legal and operations post surprising leaps in self‑reported expertise as tools slot into structured workflows.

Google NotebookLMs agents examine the sector split too — tech, telecoms, finance, and professional services are far ahead, while retail and complex physical operations navigate slower integration and tougher data constraints.

ROI is rising, budgets are expanding, and the spend is changing shape. With 88% planning to increase investment and many allocating £5m+ to gen AI, enterprises are shifting 30% of their budgets into internal R&D to build custom capabilities on top of sanctioned platforms like ChatGPT, Copilot, and Gemini.

That move, from generic efficiency to defensible differentiation, raises the stakes on governance, data, and talent.

The toughest challenges now centre on people. Leadership is consolidating responsibility with CAIO roles, access is broadening under tighter guardrails, and AI is increasingly used to manage risk. Yet a training paradox persists: lack of training is a top barrier even as training investment softens.

Google Notebook LMs agents dig into augmentation vs skill atrophy, the scramble for advanced talent, and why many leaders expect to hire more interns for AI‑enabled entry roles.

Our closing challenge: if automation eats the routine, which human skills will you invest in to drive the next wave of return?

Full study by The Wharton School and GBK Collective here: https://knowledge.wharton.upenn.edu/special-report/2025-ai-adoption-report/

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