AI’s real barrier is org change, not tech: Wharton
NEW YORK, UNITED STATES — Despite a 400% surge in enterprise AI deployment over two years, only 12% to 18% of companies have captured meaningful return of investments (ROI) — a gap Wharton researchers say is driven not by technology but by organizational change, Fortune reports.
AI deployment has surged — ROI has not
Eric Bradlow, Vice Dean of AI and Analytics at Wharton, said the technology is not the problem. “Organizations still don’t know how to incorporate AI in a holistic way,” Bradlow said.
A KPMG Global AI Pulse survey of 2,100 senior leaders across 20 countries found that 75% say their CEO actively owns AI as a strategic priority, yet only 35% report very clear guidance on when humans should override AI outputs.
Separately, 65% of organizations lack alignment between the CFO, CTO, and business leaders on how AI success will be measured — a structural fragmentation that undercuts execution before deployment even begins. Most organizations are deploying AI technology at a pace that their governance structures, leadership accountability, and change management capabilities cannot yet support — and that is where the ROI gap lives.
The real bottleneck is people, not technology
“The smart companies won’t get rid of people. The smart companies will redistribute talent,” Bradlow said, pointing to organizational redesign as the work that determines whether AI investment converts to business value.
Bradlow pinpointed the barrier as ‘organizational change, and still the need for humans in the loop’ — not the technology itself. Among companies with a named C-suite executive accountable for AI, 60% strongly agreed they can future-proof their AI strategy, against just 22% of those without clear accountability, KPMG found.
The biggest payoff from AI, Bradlow argued, is not cost reduction but revenue enhancement — “firms will expand into entirely new business models,” requiring talent to be redistributed rather than eliminated.
When Bradlow says we will benefit from AI well before businesses make the transformations everyone is predicting, he is describing an execution gap that technology purchases alone cannot close.
For BPO and offshore providers, the Wharton finding translates directly: the gap between AI strategy and AI execution is where managed-service outsourcing partners are most valuable.
The 65% of organizations without CFO-CTO-business alignment on measuring AI success are describing an organizational design problem — one that external BPO providers running AI-enabled delivery already know how to solve.
Philippine BPO firms that have rebuilt their delivery workflows around AI are not just competing on labor cost — they are demonstrating the organizational transformation that Wharton says most companies have yet to make, per IBPAP‘s sector data.
