95% of US Companies Use Generative AI — And Need Human Leaders More

By Amara Osei

Ninety-five percent of U.S. companies now use generative AI, according to a Bain & Company survey — and that near-universal adoption is making human leadership more valuable, not less.

The numbers tell a split story. Intapp's 2025 Tech Perceptions Survey found 72% of professionals use AI at work, up from 48% in 2024. Yet Pew Research Center data from 2025 shows about half of workers feel uneasy about how AI may be used in the workplace. Efficiency is accelerating. Confidence is not.

"Automation replaces tasks — not trust," the analysis argues. "Teams still look to leaders for reassurance, direction and meaning when change accelerates."

What changes when AI handles the routine work?

PwC's 2025 Global Workforce Hopes & Fears Survey found that employees who use AI daily report gains in productivity, pay and job security. But many of those same employees worry about how AI will be deployed going forward.

Automation excels at process, the piece notes. Leadership exists for the moments when process breaks down. As AI absorbs routine work, leaders are left with what has always been hardest to automate:

• Making decisions with incomplete information
• Aligning teams during disruption
• Earning trust when outcomes aren't guaranteed

"Those moments don't call for more dashboards or better prompts," the author writes. "They call for leaders who can think clearly, communicate calmly and keep people focused without losing sight of performance."

Is empathy now a performance metric?

The analysis reframes empathy as a strategic capability rather than emotional accommodation. A 2024 study published in Frontiers in Organizational Psychology found employees led by emotionally intelligent leaders demonstrated higher job performance and greater well-being, particularly when team climate was supportive.

"Emotional intelligence didn't slow teams down. It strengthened them."

In practice, empathy means spotting when people are overloaded, when communication needs to change, or when uncertainty is undermining execution. Leaders who ignore those signals don't gain efficiency — they create friction.

Can human-centered leadership scale with the tech?

Microsoft's cultural transformation under CEO Satya Nadella anchors the argument. When Nadella took over, the company struggled with internal silos, slowed innovation and a combative culture that stifled collaboration. Rather than doubling down on control, Microsoft reframed leadership around empathy, continuous learning and shared accountability.

That shift rebuilt internal trust and helped unlock a new wave of innovation, the analysis notes — evidence that human-centered leadership can scale alongside advanced technology.

The lesson for entrepreneurs: scaling humanity isn't a liability. It's how organizations stay aligned when complexity increases.

What do values do that automation can't?

As automation handles more decisions, leaders must decide which decisions should never be automated. Values fill that gap.

The author, who has led teams through natural disasters and large-scale disruptions, writes that leaders in those environments don't have perfect information or polished systems. "Clear values act as a decision filter when everything else is uncertain."

Values guide judgment when data conflicts, shape behavior when incentives misalign and help teams move through ambiguity without waiting for instructions. "In moments of disruption, people don't look to algorithms for reassurance," the piece concludes. "They look to leaders who know what they stand for and can act accordingly."

The forward case: the entrepreneurs who thrive won't be the ones who automate most aggressively. They'll be the ones who know when to lean on technology — and when to lean into the one skill machines still can't replicate: leading people through uncertainty with clarity, trust and purpose.