Artificial intelligence is increasingly playing a dual role at Accenture, driving demand for AI-related services while also improving the company’s internal productivity.
Accenture CEO Julie Sweet has rejected concerns that AI-driven automation could undermine the company’s traditional IT services business. Instead, she has described the efficiency gains from AI as an advantage that can create additional value for clients while opening new areas of growth.
The company reported that around 100 additional clients began their first advanced AI projects during the fourth quarter, taking the total number of enterprise clients that initiated advanced AI engagements during the fiscal year to more than 400.
Sweet said the company’s strategy is to embrace AI-driven efficiencies because they can benefit clients while allowing Accenture to redirect its capabilities toward emerging opportunities created by the technology. She characterized AI as a positive force for the company’s business rather than a threat to its model.
The impact of AI was also reflected in the company’s financial performance. Accenture reported quarterly revenue of $18.7 billion, representing a 6% year-over-year increase, while new bookings reached $22.2 billion, up 4%. Full-year revenue stood at $74.2 billion, an increase of $4.5 billion.
AI is also becoming increasingly integrated into Accenture’s own operations. Sweet said the technology is now embedded across the company’s work, including consulting, managed services and collaborations with technology partners.
The company has been using AI as part of client transformations, helping organizations determine which technologies to deploy, integrate AI into existing systems, redesign business processes, modernize data and digital infrastructure, and develop the skills needed to implement AI at scale.
AI-driven automation is also contributing to productivity improvements within Accenture. According to Sweet, higher productivity helped increase revenue generated per employee during 2026, allowing the company to undertake larger and more complex projects without increasing its workforce at the same rate as revenue.
Accenture still plans to recruit employees across its global operations in 2027, including at entry-level positions. However, the overall pace of hiring is expected to moderate as automated systems take over some routine operational tasks.
The company’s approach reflects a broader shift in the professional services industry, where AI is simultaneously reducing the amount of manual work required for certain tasks and creating demand for new services involving AI implementation, data transformation and business reinvention.
Sweet has previously described Accenture’s role in the AI ecosystem as helping clients determine what to deploy and when, integrate technology into their systems, redesign processes, modernize their digital foundations and build the capabilities and talent required to expand AI across their organizations.
From this perspective, AI is being treated not simply as a tool for reducing costs, but as a technology that can generate new client demand and create additional areas of business growth.
