AI doesn't make
you a better leader.
What you do with
the time it saves will. 

Annette Mainka
Risk & Compliance – Executive Board Member, Nagarro SE


November 11, 2026
3 min read

Key takeaway

  • AI’s real promise is what happens when we combine it with people’s experience. It gives leaders more room to live our values - supporting people, developing talent and helping teams through change. We can use that time to listen, build connections and help people feel they belong, while keeping human judgment at the center.

Every conversation about AI in HR eventually arrives at the same question, though it is rarely asked out loud. It is what leaders will do with what AI gives back to them.

Time is the most rationed resource in leadership. McKinsey found that middle managers spend less than 30 per cent of their time on people leadership, and nearly a full day every week on administration. AI is beginning to return some of those hours: in Microsoft and LinkedIn's 2024 Work Trend Index, 90 per cent of people using AI at work said it saves them time. The question is whether that time is being reinvested in people, or quietly absorbed by the next task on the list.

Efficiency is the floor, not the ceiling

Consider onboarding. An AI avatar can deliver induction and key information at any hour. Launchpad can coordinate dozens of tasks that accompany a new start. University learning can help new colleagues find their footing from day one. None of this is trivial, and anyone who has run onboarding at scale knows how much energy goes into logistics.

But logistics was never the moot point. What matters is what they make possible: HR professionals with time to build relationships, notice what a new colleague is anxious about, and ensure they feel genuinely welcomed rather than merely processed - belonging is not delivered through a checklist. While the technology creates the space, a human has to step into it and deliver value.

This matters more than it might first appear. Gallup's research suggests that managers account for at least 70 per cent of the variation in team engagement. However sophisticated the technology becomes, the day-to-day experience of work is still determined largely by the people who lead, support, and develop others.

Insight is an input, not a substitute

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The same logic applies to development. AI can now connect skills with learning and growth opportunities at a scale no HR team could manage alone. That is a genuine advancement. Yet a recommendation is only as valuable as the conversation that follows it. A skills profile captures what someone has done. It cannot capture what they aspire, what motivates them, or the potential that sits beyond their past experience. That is where managers make the difference, and it is not a contribution that can be outsourced.

Change works the same way. Agents can coordinate updates and training, track readiness and surface the questions people keep asking. That is valuable precisely because it gives leaders richer information for better conversations. The data tells you where the anxiety lies. Only a leader can sit with it, listen, address the concern and adapt the approach accordingly.

This is also where values stop being words on a wall. 

section-2-tile-1-care
Care

means making time to listen

section-2-tile-2-openness
Openness

means explaining decisions and welcoming questions

section-2-tile-3-learning
Learning

is about creating opportunities for people to grow

While AI can create the space for each of these actions, it cannot perform any of them. Its real promise is to give leaders more capacity to practise what their organizations say they stand for.

Ambition, with discipline

The organizations that use AI well in people leadership will hold two things at once: the ambition to use it expansively, and the discipline to know its limits.

That means questioning AI recommendations before acting on them. It means protecting personal information with the same rigor applied to financial data. It means being explicit about when human judgement is non-negotiable, such as, in performance conversations, in difficult disclosures, or in any decision that shapes someone's career. The trust deficit is real. A 2025 Gartner survey found that only 26 per cent of job applicants trust AI to evaluate them fairly. Trust in AI-enabled HR is earned slowly and lost quickly.

It also means developing both sides of the partnership: AI that helps people work, learn and make better decisions, alongside people who use it thoughtfully and responsibly. Each depends on the other. Sophisticated tools in careless hands erode trust and thoughtful people with inadequate tools stay buried in administration.

AI is making HR faster. The harder question is whether it is making leadership better. Are conversations happening that weren't happening before? Are people receiving more attention, not less? Is the time saved showing up somewhere that matters: in belonging, in development, in the way change is handled?

Efficiency is an input; the outcome is what leaders do with it. Technology without reinvested time is simply faster administration. If the gains are not visible in those places, the technology has been adopted, but the opportunity has been missed.

So look honestly at where your reclaimed hours are going, and ask the only question that really matters: are your efficiency gains helping build the organization people want to be part of?

AI in HR

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