AI Must Show Up in P&L, Says Accenture CEO as Firm Builds 80,000 AI Workforce

Accenture CEO Julie Sweet believes that AI must move into the profit-and-loss statement as the firm rapidly scales AI talent and projects.

Speaking in a recent podcast conversation with HFS Research CEO Phil Fersh, the Accenture CEO revealed just how dramatically the firm has expanded its AI capabilities in a short time.

“When ChatGPT emerged in November 2022, we had 30 people working on GenAI,” she said. Today, the company has 80,000 AI and data professionals and has completed 11,000 AI-related projects globally.

As of November 30, 2025, the company’s total headcount was 7,83,691—and now 10% of them are AI and data professionals.  

Sweet remarked that the real test of AI adoption is no longer experimentation or pilot projects; it is whether AI directly affects financial performance. “AI and reinvention tend to be projects that we’re not signing up for in the P&L,” she said. “Until that happens, it’s very difficult to scale.”

For companies to fully adopt AI, she argued, leaders must tie transformation outcomes to measurable financial metrics. “If a company is serious about reinvention, they have to put the outcomes in their P&L and create plans around that,” Sweet said.

Inside the CEO’s Daily Focus

Running a company of over 7.84 lakh employees means constant prioritisation. Sweet says AI now sits at the center of her daily work. Her time is divided across three priorities: understanding and learning about AI; working directly with clients; and managing and developing Accenture’s workforce

“I spend approximately 50% of my time working with clients,” she added, noting that the role involves sponsoring programmes and engaging deeply in transformation projects.

While many employees entering the workforce are already comfortable using AI tools, Sweet believes senior leaders face a steeper learning curve. Executives must understand not only the capabilities of AI but also its limitations. This deeper understanding is necessary because AI affects core business processes rather than just supporting infrastructure.

“The AI’s real value is in the core of the business,” she said.

Accenture’s Own AI Strategy

Accenture approached its own transformation by dividing AI into three strategic areas—what it builds for clients, how it delivers services to clients, and how it operates internally.

Initially, the company focused on developing solutions for customers, which Sweet said has already generated about $5 billion in AI-related revenue.

Internally, Accenture is now applying AI to reimagine operational processes, from marketing to order-to-cash workflows.