Many effective leaders are changing how they see their role. They spend less time monitoring output. They spend more time shaping the conditions in which people, and their AI tools, do good work.
We call this the stewardship mindset. It has been building for decades in research on motivation, psychological safety and learning. AI speeds it up.
Why it matters now
Gallup's 2026 State of the Global Workplace report found global engagement at 20%. Manager engagement fell from 31% to 22% in three years.
Gallup also found that managers drive AI use. In US data, frequent use was 79% with active manager support and 46% without it. The conditions managers create matter more than ever.
Faster or better?
AI can analyse, recommend and act faster than people can deliberate. Many organisations respond by trying to speed up every decision.
Stewards ask a prior question. Which decisions need to be faster, and which need to be better?
Keep a simple map of your decisions. Mark which benefit from AI speed, which need careful human judgement and which need both. Review it as AI improves.
Be confident about slow thinking where it matters. Speed is not always the goal.
Managing agents is part of the job
If your team uses AI agents, you already manage them. Microsoft's 2026 Work Trend Index found active agents in Microsoft 365 grew fifteen times in a year.
Managing agents takes the same discipline as managing people: a clear purpose, quality standards and feedback. Know where each agent tends to fail and when people must check its work.
Agree team norms for reviewing AI output and handling errors. That is part of Adaptation, where people direct, combine and check AI agents.
Build this capability in your organisation
Growth Performance designs bespoke programmes that turn insight into measurable behaviour change.
Meeting people's core needs
Deci and Ryan's self-determination theory identifies three needs behind lasting motivation. Autonomy is choosing your own actions. Competence is growing in skill. Relatedness is real connection with others.
Heavy monitoring undermines all three. Stewards meet them directly.
Autonomy. Set purpose and boundaries, then step back.
Competence. Hold regular conversations about what each person is learning and what they need next.
Relatedness. Get to know each person, including what motivates and worries them.
Your first 100 days
Audit your decisions. List the decisions you make or review. Ask where your attention adds value and where it slows things down.
Listen. Ask each team member what helps them do their best work and what gets in the way.
Start development conversations. Hold short, regular conversations about growth, separate from performance reviews.
Write a team charter. Agree with the team how people and AI work together, including checking and errors.
Review your progress. At 30, 60 and 100 days, ask whether your behaviour matched your intent.
Try this
Ask each person in your team one question this week: what gets in the way of your best work?
Note the answers that mention change or AI. Then count your team's recent changes with the Change Load Counter.