Wharton Study: 75% Companies See Positive GenAI ROI—83% Banks

Fears of an AI bubble recede?

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Wharton reports on GenAI ROI, the question on everyone’s mind, indicating that 75% of those surveyed see a positive ROI, including 83% of banks.

Wharton drops some great news following their three-year study of 800 US-based businesses.

While 3/4 of those surveyed are ROI positive, there is even more hope as 4/5 expect positive ROI in 2-3 years.

Given that many are waiting for the AI bubble to pop, those numbers are very welcome.

Large-scale survey results like this are welcome for the industry, especially following MIT’s September report of a 95% AI failure rate that crashed markets!

Both reports are likely true, as many of the use cases in this report are not custom builds, like with MIT.

That companies, particularly tier-2 and 3-sized, are using less complex GenAI builds and making money with it is great news for skiddish investors.

Interestingly, it is tier 1 enterprises who are the slow movers, despite bigger budgets, and more often report “neutral/too early” outcomes (34%) as they work through scale and complexity.

The big winners are all those in the digital realm with the most positive returns in: Tech/Telecom (88% positive) and Banking/Finance (83%).

In other good news, 82% use Gen AI at least weekly.

The biggest use cases are all in employee productivity: data analysis, document summarization, and document editing/writing.

The news is not all good!

The biggest bottleneck to GenAI adoption is unsurprisingly “talent and culture.”

Neither of these should be a surprise!

What is a surprise is that only 61% of respondents have employee training and awareness programs.

Once again, I warn that those assuming your company will train you on AI are sorely mistaken!

And people are still legitimately afraid of AI.

While 89% feel that AI will enhance employees’ skills, a stubbornly high 71% still feel that AI will replace employees in some tasks. The 71% are realists!

I’m pleased to see these positive results and think that they speak well to our inevitable shared AI future.

Is AI a bubble?

For investors, yes, for everyone using cheap AI, not in the least!

👉Key Findings

🔹 Everyday AI

Gen AI usage has become mainstream. Daily use is common, with IT and Purchasing/Procurement out front while Marketing/Sales and Operations trail. Adoption is strongest in repeatable tasks, with specialized applications on the rise. Large enterprises are closing the gap. The divide that remains is cultural. Open access, faster rollout, and clearer guardrails are what put leaders ahead of laggards

🔹 Proving Value

This is the year enterprises re-assert accountability. Most firms now measure ROI, and roughly three in four already see positive returns. Budgets still back Gen AI investment, but dollars are shifting from pilots to performance- proven programs, with growing investment in internal R&D. Tech/ Telecom, Banking/Finance, and Professional Services lead; while Retail and Manufacturing are still catching up.

🔹 The Human Capital Lever

Leadership commitment is growing, with C-suite ownership rising. However, people and processes are the new constraint. Training budgets and confidence in training are slipping, and advanced talent is hard to hire. Most leaders view Gen AI as skill-enhancing, yet culture and workforce shifts (including uncertainty about hiring in the next few years) could slow momentum. Those pulling ahead are aligning talent, training, and trust with their investments.

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