KPMG is moving deeper into Silicon Valley as artificial intelligence begins to challenge the way consulting firms actually make money, with the traditional billable-hour model facing growing pressure from automation that can now complete parts of audit, tax, and advisory work in a fraction of the time .
The shift is not just about innovation scouting. It reflects a quieter change inside professional services: fewer hours are needed to produce the same work, and that starts to unsettle the economics that have supported large consulting firms for decades.
In practice, the change shows up in a simple way. Work that once required teams of junior staff is increasingly being handled by AI systems or significantly compressed workflows. That reduces billable time. And in consulting, less time billed means less revenue built on labour scale.
KPMG’s US leadership has begun meeting AI startups through venture capital firms such as Andreessen Horowitz and Bessemer, exploring partnerships and potential equity stakes to secure early access to emerging tools . The aim is not only adoption, but proximity—staying close to the systems that could reshape how consulting delivery is structured.
There is a defensive logic underneath it. If AI reduces the amount of human input required per project, firms that depend on staffing scale face a direct adjustment in how they operate. The Big Four are already responding. AI tools are being introduced into audit and advisory workflows. Internal systems are being rebuilt. Partnerships with companies like Anthropic are designed to keep firms embedded in the technology layer they now depend on .
But the adjustment is uneven.
Training programmes can adapt people. They cannot fully offset the fact that fewer people are needed to complete the same work. That pressure moves slowly at first—then shows up in hiring plans, team sizes, and the structure of junior roles entering the industry. Walsh, KPMG’s US chief executive, has acknowledged that the speed of AI development is outpacing internal transformation efforts, even as firms push harder to keep up .
Tim Walsh has led KPMG’s push into Silicon Valley as the firm increases engagement with AI startups amid growing pressure on the consulting industry’s traditional billable-hour model.
That gap matters. It is where the strain builds—not in sudden disruption, but in the growing distance between what technology can do and what legacy business structures were built around.
Clients are also changing behaviour. Faster turnaround expectations are becoming normal. Cost pressure is rising. And when both sides of the market push toward efficiency, the consulting hour itself becomes harder to protect. The result is not a collapse, but a steady compression of the old model.
KPMG’s move into Silicon Valley sits inside that shift. It is part strategy, part early warning system—an attempt to stay close to the tools that are quietly rewriting how professional services are delivered. But proximity carries its own pressure. The closer firms get to the technology reshaping them, the more they have to adjust to its logic.
And that logic is simple: less time, fewer people, more output. The consulting industry is not disappearing. But the way it translates labour into revenue is beginning to tighten.
What once relied on scale now relies increasingly on speed. And speed does not always need scale.
