Accenture CEO Julie Sweet says companies will only see the real impact of artificial intelligence when it becomes part of their core financial performance.
Speaking during a podcast conversation with Phil Fersht, CEO of HFS Research, Sweet explained how quickly Accenture has expanded its AI capabilities over the past few years.
She recalled that when ChatGPT was released in November 2022, only around 30 people inside the company were working on generative AI. Since then, Accenture has rapidly scaled its efforts. Today, the firm employs around 80,000 AI and data specialists and has completed more than 11,000 AI-related projects worldwide.
As of November 30, 2025, Accenture’s total workforce stood at 783,691 employees, with roughly 10% of them now focused on AI and data roles.
According to Sweet, the biggest shift in AI adoption is happening now. She said the conversation has moved beyond experiments and pilot projects. The real test, she believes, is whether AI can directly influence a company’s profit and loss results.
She noted that many organisations still treat AI initiatives as separate innovation projects rather than integrating them into financial planning. Until businesses link AI initiatives to measurable financial outcomes, she said, it becomes difficult to scale them across the organisation.
Sweet argued that companies serious about transformation need to connect AI-driven change directly to their financial goals and build concrete plans around those outcomes.
Leading a company with more than 784,000 employees requires constant prioritisation, and Sweet said AI now occupies a large part of her daily focus. She divides her time among three key areas: learning about AI developments, working closely with clients, and managing Accenture’s global workforce.
She added that roughly half of her time is spent with clients, often helping guide large transformation programmes and strategic initiatives.
While younger employees entering the workforce are already comfortable with AI tools, Sweet believes senior executives still face a learning curve. Leaders need to understand both the capabilities and the limits of AI, particularly because the technology is increasingly affecting core business operations rather than just supporting IT systems.
In her view, the real value of AI lies in its ability to reshape the central processes of a business.
Inside Accenture, the company has structured its AI strategy around three main areas: building AI solutions for clients, improving how services are delivered to customers, and transforming its own internal operations.
Initially, the firm focused heavily on developing AI solutions for clients, which Sweet said has already generated around $5 billion in revenue.
Now the company is increasingly applying AI within its own organisation as well, using it to rethink internal processes such as marketing operations and order-to-cash workflows.
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