Accenture has started tying promotion eligibility to AI tool usage, telling senior managers and associate directors that advancing to leadership roles will require demonstrating “regular adoption” of its artificial intelligence platforms. The move follows CEO Julie Sweet’s earlier warning that employees unable to adapt to AI would be “exited” from the company — and it appears HR is now putting that stance into formal practice. The consulting giant has also begun tracking individual weekly logins to its AI tools for some senior staff, making it one of the more aggressive internal AI mandates seen at a major professional services firm.
According to an internal email seen by the Financial Times, “use of our key tools will be a visible input to talent discussions.”
The policy is set to factor into the company’s summer promotion decisions, with Accenture’s AI Refinery among the tools being monitored.
Senior staff are calling the tools “broken slop generators”
The reaction internally has been less than enthusiastic. Two people familiar with the changes told the FT they considered some of the tools to be “broken slop generators,” and one said they would “quit immediately” if the rule directly affected them. Staff in 12 European countries and those working on US federal government contracts are exempt from the new policy.
The pushback isn’t entirely surprising. Executives at three Big Four firms independently told the FT that getting senior managers and partners to adopt AI has proven far harder than with junior staff. Older, more senior professionals tend to be less comfortable with new technology and more attached to how they’ve always worked.
CEO Julie Sweet had already warned: Adapt to AI or leave
Sweet has made the company’s position clear. She previously told investors that Accenture would “exit” employees for whom reskilling on AI wasn’t a viable path—and the latest promotion criteria appear to be the formal follow-through on that stance.
The firm says it has trained 550,000 of its roughly 780,000 employees in generative AI and spends around $1 billion annually on learning and development. It also recently announced partnerships with
OpenAI and Anthropic.
Still, the urgency makes sense given the context. Accenture’s share price has dropped roughly 42% over the past year, and the company is betting heavily that its AI-first repositioning—including rebranding its workforce as “reinventors”—will reverse that slide.
