Why Accenture is Tracking Employees' Use of AI

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Julie Sweet, Chair and CEO at Accenture
According to the Financial Times, Accenture is collecting data on the number of times senior managers log onto its AI tools to inform promotion decisions

As part of its wider AI adoption strategy, Accenture is looking at employees’ levels of AI usage when deciding who to promote to senior leadership positions. 

According to an internal email seen by the Financial Times, Accenture has started tracking staff use of AI tools, which it says it will take into consideration when promoting internally. 

The Financial Times says the email told senior managers that the company was collecting data on the number of times staff logged into its AI tools, and only those who were regularly adopting the tool would be considered for promotion. 

Accenture has been investing significantly in AI in recent years. In 2023, the company announced it was investing US$3bn across three years in AI to deliver more value. As a result of this investment, its Gen AI revenue tripled in fiscal year 2025 to US$2.7bn.

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Accenture's ‘Reinventor’ culture

In late 2025, Accenture rebranded internally, labelling its entire workforce as ‘Reinventors’ as part of its AI adoption strategy. 

This involved merging its strategy, consulting, creative, technology and operations functions into one core business area it refers to as its ‘Reinvention Service’.

Julie Sweet, CEO of Accenture, shared in an interview with Great Place to Work: “Being a reinventor is believing that every part of the enterprise and their product has to be reinvented using tech, data, AI – new ways of working, new ways of engaging.”

The company has invested US$1bn to suitably upskill employees in AI through its Accenture LearnVantage platform, which uses AI recommendation engines to curate personalised employee learning journeys – mapping existing skills against the skills the company needs employees to develop. 

In September, Accenture announced it was laying off 11,000 employees who could not be trained or reskilled for AI related work. These layoffs reportedly focused on roles centred on repeatable tasks that can now be automated. 

On an earnings call, Julie said: “The workforce needs new skills to use AI, and new talent strategies and related competencies must be developed.”

Accenture has invested US$1bn to upskill employees in AI (Credit: Getty Images)

Embedding AI through leadership

Julie has previously said that the company is taking a top-down approach to integrating AI into employee workflows. 

At the World Economic Forum in Davos, Julie explained how the company began its AI strategy: “When Accenture first started on our journey, the first thing we did was take our top 50 leaders.

“They got the most training in the first few months because if you don’t have the leaders understanding it, they can’t explain it to our people. They can’t drive the transformation.”

Having leaders who understand how AI works within the context of their roles and can pass on that knowledge to their teams is crucial, with research from Google and Ipsos finding that only two out of five employees use AI in their roles. 

The same study found that 53% of employees do not believe AI applies to what they do, and only 14% of workers say that they have been offered training in AI. 

At Accenture, 550,000 out of 780,000 employees have been trained in GenAI, and the company is building a dedicated team of AI specialists to lead on projects. 

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