PwC US chief warns partners: there is no future without AI

PwC is moving the conversation about artificial intelligence from the realm of experiments to the realm of personnel decisions. Paul Griggs, head of the company's American business, made it clear: for partners, AI is no longer an additional skill, but a condition for professional survival.

Hard signal from above

Paul Griggs, who leads PwC in the United States, stated that partners who are not ready to work within an AI-first logic cannot count on a future at the company. According to him, senior employees who do not master the new approach will likely be replaced by those who are willing to adopt the technology faster. For a partnership-based firm, this is a particularly harsh formulation: it is not about rank-and-file roles, but about people who sell projects, manage teams, and set work standards.

"No one gets a free pass here. No one."

This phrase demonstrates that PwC is not prepared to make exceptions based on tenure or status. If previously the attitude toward AI could be interpreted as a matter of personal work style, now it becomes a criterion for suitability for the role. Within large consulting, this means a shift in management norms: partners are expected not simply to have knowledge about the technology, but to actually implement AI in everyday processes.

How consulting is changing

For consultants and auditors, AI is important not for its own sake, but as a tool for accelerating and reducing the cost of work. The more routine tasks that can be automated, the higher the project margin and the faster the team delivers results to the client. That is why PwC's statement looks not like a PR gesture, but as an attempt to establish a new standard of efficiency. A partner who ignores this shift risks losing both within the firm and in the market.

In practice, AI-first logic can mean several things:

• using AI when preparing analytics, presentations, and internal materials
• accelerating research and initial processing of large volumes of documents
• restructuring project teams around more compact AI-enhanced processes
• requiring managers to personally test new tools rather than delegating this to junior staff

For clients, this is also a notable signal. If one of the world's largest consulting firms publicly ties partner careers to AI, it means the technology is already being considered as a basic layer of service. Clients will expect not just advice on artificial intelligence, but that the consulting company itself knows how to work faster, more accurately, and more cheaply through these tools.

New filter for partners

The most important thing in Griggs' words is not enthusiasm for yet another technology trend, but a new system for selecting leaders. A partner in consulting is a person who is responsible for sales, client relationships, quality of results, and practice development. If this role is now tied to a requirement to be almost "paranoidly" focused on AI, then the bar is raised for the entire management hierarchy.

From this follows a simple conclusion: it is not enough to say that AI is "interesting" or that the team is "exploring possibilities." Leaders will be expected to demonstrate measurable behavior — where the technology saves hours, how it changes the unit economics of a project, which types of work can be turned over to models right now, and which require human oversight. In this logic, resistance to AI begins to look not like caution, but as management weakness and a business risk.

What it means

PwC's statement clearly demonstrates how rapidly corporate norms around artificial intelligence are changing. For senior managers and partners, AI is becoming not an additional competency, but part of the job minimum. This is already affecting personnel decisions. Those who learn to restructure their work around new tools will maintain influence; those who lag behind may cede their place to those already working faster.