Human adaptation

Give someone a brilliant AI tool and change nothing else about their day, and they'll use it to do the same job, just a bit faster.

Real adaption is a two-stage problem. First, confidence and literacy — trusting the tool enough to actually use it well. Second, a genuine shift in how work is organised: from fixed jobs to work built around people's actual skills, shared with AI where it makes sense.

Get the first stage right, and you earn the credibility to tackle the second.

Work across everything that shapes whether change is real or just announced: leadership that models it, learning that builds real capability, time and permission to experiment, and the tools and support to do it with confidence — backed by the governance, planning, and technology that make it sustainable rather than a one-off.

Look for where confidence is genuinely building and where it's stalling, and why. Then help people move: understanding where they stand today, closing the gap through learning built into real work, and matching them to an actual destination role — not an open-ended promise to "reskill."

• Training and learning that's actually used, not just completed
• Experiments and hackathons where people get to try, break, and rebuild things
• Resources that support people individually, as teams, and across the whole organisation
• A clear, real set of future roles people can see and work towards — not a vague direction

• People trust AI enough to actually use it, instead of quietly avoiding it
• Managers who can lead the change, not just relay a memo about it
• A workforce ready for what's next, not just coping with what's now