Research digested: 2026 Global Human Capital Trends: From tensions to tipping points: Choosing the human advantage, Deloitte Insights

About this research

Deloitte’s annual flagship research surveyed more than 3,000 business and HR leaders plus 6,000 workers, managers and executives to understand the people trends impacting on organisations.

Key findings

  • Speed and adaptability are becoming the primary competitive strategy – 70% of business leaders say their main competitive strategy over the next three years is to be “fast and nimble”
  • Human capability – not technology – is increasingly the differentiator – 59% of organisations are currently taking a technology-focused approach to AI. The report suggests that competitive advantage increasingly comes from how organizations combine human capabilities, such as judgement and creativity, with AI.
  • Few organisations are effectively designing human-AI collaboration – only 14% of leaders say their organisations are adept at shaping interactions between humans and AI. Despite growing AI adoption, the report finds that many organizations still design technology systems and human workflows separately, which limits the potential value of AI.
  • Intentional design of human-machine collaboration drives performance – organisations that intentionally design how humans and AI interact are nearly 2.5 times more likely to report better financial results and twice as likely to provide meaningful work
  • Speed is overtaking scale as the perceived competitive advantage – 67% of leaders say their primary competitive advantage will come from being fast and nimble, while only 28% cite scale
  • Organisational change capability remains weak – only 27% of respondents believe their organisations manage change effectively, and just 8% say they are highly effective at meeting continuous learning needs
  • AI is creating cultural and trust tensions – 42% of workers say their organisation rarely evaluates AI’s impact on people, while 80% of leaders, managers, and workers worry colleagues may use AI to appear more productive than they are. The report describes this as “cultural debt” — the accumulation of unresolved cultural and trust issues as AI changes how work is done.

What to act on

Organisations should redesign work – not simply deploy technology. The research shows that organisations focusing primarily on technology adoption are less likely to exceed expected AI returns (59% are currently taking a tech-first approach). Leadership teams should review how work itself is structured and redesign roles, workflows and decision processes to integrate human and machine contributions effectively.

Added to this, employers should deliberately design human–AI collaboration rather than allowing it to emerge organically. Only 14% of leaders say they are adept at shaping these interactions, and only 6% report strong progress in doing so. This means establishing clear interaction models, governance, and training for human–AI collaboration across teams.

Leaders should prioritise adaptability and responsiveness as core operating capabilities. With 70% of leaders identifying speed and agility as their primary strategy and 67% expecting competitive advantage to come from speed rather than scale, organisations should shift operating models toward faster experimentation, decision-making, and workforce redeployment.

Finally, organisations should address cultural and trust risks introduced by AI. With 42% of workers reporting little evaluation of AI’s impact on people and 80% expressing concerns about misuse, leaders should proactively establish transparency, norms, and governance around AI use to maintain trust and organisational cohesion.

Read the report https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends.html