In 2026, most organisations have AI tools. Far fewer have results. McKinsey's State of AI 2026 found 80% of firms report better individual productivity, yet only 37% see any effect on profit.
We built The Human Advantage Programme to help leaders close that gap. It rests on one idea from decades of research: performance depends on conditions.
The conditions idea
Richard Hackman spent decades studying why teams succeed and fail. He found that team performance depends heavily on the conditions a team works in, as well as on who is in it.
That challenges much leadership development. Most programmes find the skills people lack and fill the gap. Conditions often matter more: safety, clear goals, good feedback and how leaders behave.
Amy Edmondson's research shows this clearly. Her 1996 study of hospital units found that better-led units reported more medication errors.
They were no less careful. People there felt safe to report mistakes, so problems surfaced and got fixed. Her 1999 study of work teams linked that safety to team learning.
Why training alone rarely sticks
Robert Brinkerhoff's Success Case Method showed that the work environment largely decides whether training changes performance. Good content fails when the setting does not support it.
Nick Petrie's work at the Center for Creative Leadership adds a second point. Adding skills is horizontal development. Growing the capacity to handle complexity is vertical development, and it needs challenge, reflection and feedback.
DeRue and Wellman found challenge only produces growth when support and feedback match it. Conditions again decide the outcome.
Build this capability in your organisation
Growth Performance designs bespoke programmes that turn insight into measurable behaviour change.
What AI changed
AI made conditions more important. The 2026 evidence points to three that decide whether AI pays off.
Gallup found frequent AI use was 79% with active manager support and 46% without. Reich and colleagues found psychological safety predicted whether people adopted AI at all.
Microsoft found 86% of AI users treat output as a starting point, yet only 13% are rewarded for reinventing their work.
Three conditions
The Human Advantage Programme helps leaders shape three conditions.
Adoption: whether people take on the change and make AI part of their work. Licences alone change nothing. People need a reason, support and room to try.
Adaptation: whether people can direct, combine and check AI agents in real work. Time saved only becomes results when people can steer the agents and check what they produce.
Acceleration: whether the organisation is ready as change keeps speeding up. Capability moves quickly, so each new tool should build on the last change.
How the programme works
Each condition has a free diagnostic, so leaders can see where they stand. Free tools help teams count checking time, plan experiments, count change load and map cycle times.
Our workshops then help leaders practise what the diagnostics reveal, on their own real work.
Why this, why now
Much of the conversation about AI and people still focuses on skills alone. Skills matter. On their own, they fall short.
The research has been consistent for decades, and 2026 has confirmed it. The conditions people work in decide whether new skills and new tools turn into performance.
Start here
Take the Adoption Condition Diagnostic to see whether your people are taking on the change. Then explore The Human Advantage Programme.