Accenture Is Tracking Whether Employees Use AI—And Promotions Are on the Line

Want a promotion while working at Accenture? You’d better start using the company’s AI tools—regularly. (They’re watching.)

The consulting giant has begun collecting data on weekly logins to its AI platforms from senior staff, and sent an internal email to managers and associate directors making it clear: moving into leadership requires “regular adoption” of artificial intelligence, according to documents seen by the Financial Times.

Unlike other companies that either punish AI usage or are trying to get rid of human employees in favor of AI agents, Accenture is essentially turning AI tool usage into a KPI. One of the products under the microscope is, of course, Accenture’s AI Refinery, the enterprise platform CEO Julie Sweet has been heavily promoting to investors.

Accenture’s business model is built on advising other companies on how to modernize, and apparently, it wants to set an example for other companies dealing with the dilemma of using AI at work.

“Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work,” an Accenture spokesperson told Decrypt. “That requires the adoption of the latest tools and technologies to serve our clients most effectively.”

The move is part of a larger internal pressure campaign to force the adoption of AI. Sweet told investors in September that employees who couldn’t adapt to AI would be “exited.” The company’s own language describes workers for whom reskilling is not a “viable path” as candidates for separation, according to The Guardian. The login-tracking policy is the formal version of that threat.

Accenture has been on an AI spending spree. It trained 550,000 of its 780,000 employees in generative AI—up from just 30 people in 2022—and committed $1 billion a year to learning programs. In December, it announced partnerships with both ChatGPT creator OpenAI and Anthropic, maker of the Claude chatbot. Last June, it merged all its main divisions into a single unit it called “Reinvention Services” and started calling employees “reinventors.”

Just last week, Microsoft’s AI CEO Mustafa Suleyman argued that most white-collar roles—including lawyers, accountants, project managers—could be “fully automated” by AI within 12 to 18 months. Accenture is making its consultants prove they use AI tools to keep their jobs and potentially obtain better ones, at the exact moment the people building those tools are saying the jobs may not exist much longer anyway.

A Pew Research Center survey from February 2025 found 52% of U.S. workers are worried about AI’s impact on the workplace, and roughly one in three think it will shrink their long-term job opportunities.

ManpowerGroup’s 2026 Global Talent Barometer, which covered nearly 14,000 workers across 19 countries, found that regular AI usage actually jumped 13% in 2025. Confidence in it, though, collapsed by 18%.

“Workers are being handed tools without training, context, or support,” ManpowerGroup’s VP of Global Insights Mara Stefan told Fortune. Some 64% of those surveyed said they’re staying in jobs they hate specifically out of fear that jumping ship during an AI transition is too risky.

The confidence collapse hits hardest in older demographics—exactly the group Accenture is targeting with this policy. Baby boomer confidence in AI dropped 35%, according to that survey, while Gen X confidence dropped 25%. Accenture itself acknowledges older and more senior staff are more resistant to adoption, and its solution is apparently to monitor their login frequency and dangle potential promotions over their heads.

As Decrypt previously reported, a Yale Budget Lab study found the broader labor market hasn’t actually seen AI-driven disruption yet. Jobs are shifting about one percentage point faster than during the early 2000s internet boom—but it’s barely measurable.

The apocalypse is still pending. But the pressure on individual workers to perform AI fluency is already very real, and very measurable.