Accenture has reportedly cut more than 11,000 jobs globally over the past three months, aiming to reshape its workforce for the AI era. The move comes even as the company plans to expand its headcount in the coming fiscal year.
AI skills at heart of Accenture layoffs
According to a foreign media report, during the earnings call, CEO Julie Sweet told analysts, “We are exiting on a compressed timeline, people where reskilling, based on our experience, is not a viable path for the skills we need.”
The layoffs primarily affect employees who cannot be trained in artificial intelligence (AI) skills.
Accenture’s global headcount fell to 779,000 by the end of August, down from 791,000 three months earlier. The layoffs, which began earlier this year, are expected to continue through November 2025.
The restructuring is projected to save the company over $1 billion in severance costs.
CFO Angie Park reportedly said the company will also divest two acquisitions as part of a “rapid talent rotation.” She added, “These actions will result in cost savings which will be reinvested in our people and our business.”
Also Read: Accenture CEO Julie Sweet recalls career-defining moment that propelled her to the top
Accenture expands AI workforce and training
While trimming traditional roles, Accenture is aggressively growing its AI capabilities. Since 2023, the company has doubled its AI and data specialists to 77,000 and trained over 550,000 employees in generative AI. Sweet highlighted, “Advanced AI is becoming a part of everything we do,” calling AI “expansionary” rather than “deflationary.”
Despite the layoffs, Accenture reported a 7 per cent year‑on‑year revenue growth to $17.6 billion in the June–August quarter of fiscal 2025, beating estimates. Sweet said the results demonstrate the company’s “unique ability to deliver for clients as they seek our help to reinvent and lead with AI.”
Accenture’s move mirrors broader trends in tech, with companies like Meta and Microsoft also cutting traditional roles while boosting AI hiring. For white-collar professionals, the message is clear: adapt to AI or risk obsolescence.
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