AI tools are saving employees hours each week, yet most companies are struggling to convert those time savings into revenue and profit. PwC's 2025 Global CEO Survey found that while 56% of CEOs reported efficiency gains in employee time from GenAI, only 32% reported increased revenue and 34% saw higher profitability.
The data, drawn from nearly one billion job advertisements and thousands of company financial reports across six continents, reveals a sharp divide. Industries most exposed to AI recorded 27% growth in revenue per employee - three times the 9% growth seen in industries with the least AI exposure. Workers with AI skills commanded a 56% wage premium in 2024.
The gap signals a leadership problem. Saving time is the easy part. Redesigning work so that freed-up hours go toward better decisions, deeper customer understanding, and innovation requires deliberate effort from leadership teams.
Where productivity gains are materializing
Some organizations are already seeing the payoff. Axtria, a life sciences services firm, reports that its services business has grown approximately 45% between 2023 and its 2026 projection. Manish Mittal, Global Head & Managing Principal at Axtria, said the company integrated AI into everyday workflows rather than treating it as a standalone capability. "This transformation has helped us scale more effectively, respond faster to changing client needs, and create greater value for clients without simply adding headcount."
BSH Home Appliances took a different route, focusing on organizational design. Poonam Agarwal, Head of HR for BSH Home Appliances India, said the company paired AI-enabled ways of working with simplified structures and data-driven decision-making, letting employees spend more time on value creation and innovation.
At packaging company EPL, 53% of the portfolio now comes from personal care categories and 38% comprises sustainable tubes, with the company reporting a 20% EBITA margin. Sonal Jain, Global Chief Human Resource Officer, links that performance to portfolio transformation, capability building, and operational excellence.
What leaders must do differently
The organizations seeing results share a common thread: leaders who actively remove friction rather than simply setting direction. Agarwal said employees create greater value when they understand how their individual contribution connects to the organization's broader growth ambitions. That requires giving teams greater ownership, reducing unnecessary layers, and enabling faster decision-making.
Kavita Kurup, Senior Vice President and Chief People Officer at Cyient, said leaders need to identify what is getting in the way of employees doing their best work. Unnecessary bureaucracy and fragmented systems consume employee time without adding corresponding value. For leaders, this means spending as much time removing obstacles as setting strategy.
Jain distilled the leadership equation to three essentials: clarity, capability, and confidence. Employees need to know what matters, have the capability to deliver, and feel confident enough to make decisions in volatile situations. "This is where leadership becomes more important as AI adoption grows," she said.
AI as a leadership tool, not a replacement
AI can strengthen specific leadership skills, particularly around analyzing information, testing scenarios, and synthesizing insights. Mittal described AI becoming a "trusted thought partner" for leaders - helping them evaluate multiple scenarios and make better-informed decisions by bringing together insights that would otherwise take considerably longer to analyze.
Kurup cautioned against assuming leadership itself can be automated. AI can help leaders analyze information, explore scenarios, and challenge assumptions, but leadership ultimately depends on judgment, courage, and trust. The technology cannot build psychological safety, recognize when an employee is struggling despite saying they are fine, or inspire people around a shared purpose. For leaders looking to build these capabilities, AI for Executives & Strategy training focuses on converting AI-driven efficiency into measurable business outcomes.
How leadership success will be measured
Team size and span of control are becoming less relevant metrics. Agarwal sees leadership moving toward the quality of culture a leader creates - building dynamic, customer-first teams that encourage innovation rooted in consumer insights. Jain said great leaders are those who create more leaders, rather than simply larger teams.
Mittal said leadership success will increasingly be reflected in business outcomes, the quality and speed of decisions, and the ability to continuously build capability within teams. "The most effective leaders will be those who create high-performing, AI-enabled teams that consistently deliver meaningful outcomes, regardless of their size."
The shift has direct implications for how HR teams evaluate and develop leaders. Traditional measures like headcount and organizational scale tell an incomplete story when smaller, AI-augmented teams can outperform larger ones. AI for Management programs address this gap, helping managers redesign workflows and redirect saved time toward higher-value work.
Why this matters for HR leaders
HR teams sit at the center of the AI productivity equation. The technology is changing how work gets done, which skills command a premium, and what leadership effectiveness looks like. The organizations capturing value from AI are not simply deploying tools - they are redesigning roles, removing low-value tasks, building AI fluency, and rethinking how they measure leader performance. For HR, that means workforce planning, learning and development, and performance management all need to align around a single question: are employees spending more time on work that only humans can do?
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