Accenture CEO: Employees Must Lead AI Adoption for Growth

AI has evolved from a theoretical concept into a tangible force reshaping how employees work, but the technology's successful integration depends on keeping the workforce at the centre of its deployment, according to Accenture's Chief Executive.

Speaking at the World Economic Forum in Davos 2026 to Axios's Mike Allen, Julie Sweet, Chair and Chief Executive Officer of the consulting firm, emphasised that despite growing automation, the future of AI in business remains firmly human-led.

"The future of AI and companies is human in the lead," Julie said, addressing concerns about technology replacing workers.

She acknowledged that Accenture's workforce composition has shifted since introducing robotic process automation around 2015, with fewer employees managing more technology.

However, she stressed this does not change that companies will succeed by tapping into human creativity.

"I think we need to actually get rid of that narrative because it's not inspiring people to be a human in the loop," Julie says.

Understanding AI's workplace impact

Julie told Mike that AI should not be viewed as an enemy causing job losses and restructuring.

Instead, she explained that companies are choosing to restructure their teams for better processes, with or without AI.

"Many companies today have too many managers, more than they need," she said, "not because of what AI can do, but they simply have too many managers."

Julie added that many organisations talk about "fragmented processes, duplication", but none of this "has anything to do with advanced AI".

She questioned why companies would create an agent to replace a manager that is not needed today, rather than preparing the organisation to be fast and lean first.

This perspective could suggest that employees facing workplace changes should consider whether restructuring stems from genuine AI capabilities or from organisational inefficiencies that existed beforehand.

Bridging perception and reality

Referring to an Accenture study from late 2024 about AI adoption, Mike raised findings about the gap between leadership vision and worker perception.

Julie says this disconnect is partially down to what appears in the media versus what leaders are actually communicating.

While media coverage suggests "we're not hitting productivity and so on", the study found that "78% of the leaders said they think the greatest promise for AI is growth not productivity".

The distinction matters for employees, as Julie outlined that "productivity is a nice way of saying saving money, where growth is more revenue".

This framing could mean that AI implementation aims to expand business opportunities rather than simply cut costs through workforce reduction.

For AI implementation to be both trusted and successful among employees, understanding must start at the top before cascading through the organisation, Julie explains.

"When Accenture first started on our journey, the first thing we did was take our top 50 leaders," Julie says.

"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."

She added that "trust is built through understanding and transparency", suggesting that employees need clear communication about how AI will affect their roles and why changes are being implemented.

This approach has shaped Accenture's AI strategy into a multi-billion-dollar, comprehensive initiative designed to position the company as the "reinvention partner" of choice in the age of gen AI.

The strategy focuses on accelerating AI adoption to drive business value, aiming to move companies beyond isolated experiments to full-scale enterprise transformation.

As Julie explained in Davos, for AI to generate growth, companies must keep people at the centre of adoption.

This means considering employees' understanding and ability to use AI as an addition to their capabilities, not as their replacement.

The message for workers could be that AI's role is to augment human creativity and decision-making rather than eliminate the need for human involvement in business processes.