Bain Capital: company leaders misunderstand AI implementation

David Gross, Managing Partner at investment firm Bain Capital, said in an interview with Bloomberg TV that company executives are massively taking the wrong approach to AI adoption, treating it like an ordinary technology project rather than as an opportunity to rethink the business as a whole.

The main mistake CEOs are making

According to Gross, the typical scenario looks like this: a company buys AI tools, embeds them into existing processes, and expects efficiency gains — without reconsidering the processes themselves. This approach, in his view, turns AI into an overlay on top of an old business model instead of making it a driver of its transformation.

• Speaker — David Gross, Managing Partner of Bain Capital
• Source — Bloomberg TV interview
• Key thesis — AI requires reconsidering business strategy, not just a technology upgrade

Why strategy matters more than technology

Gross draws a distinction between two implementation models: one treats AI as a tool for accelerating existing operations, the other — as the foundation for rebuilding how the company creates value for the customer. The second model, in his opinion, requires leadership decisions at the strategy level, not just a budget for software purchases.

This position echoes assessments from other private equity investors who, over the past year, have documented a gap between the volume of capital directed into AI projects at portfolio companies and the actual returns from them — precisely because of the superficial, technology-focused rather than strategic approach to implementation.

What this means

For boards and top management, the words of a Managing Partner at Bain Capital are a signal that AI transformation is measured not by the number of tools implemented, but by how much the business model itself has changed.