Future of Work.
This is a session about what stays valuable in a person once AI absorbs the routine work. It starts from the World Economic Forum’s Future of Jobs data — creative thinking is the single skill employers expect to matter most by 2030, ahead of resilience, adaptability, leadership and curiosity — and then works out what that means for a specific team on a specific Monday. Future.Pro runs it in Singapore and across Asia for teams of five to 150. No tool demonstrations, no predictions. The subject is judgement, not software.
01 Who it is for
- Leadership teams being asked what their AI strategy means for their people, and not wanting to answer with a tool list.
- Functions where AI has already absorbed part of the work and nobody has said out loud what is left.
- Organisations investing in future-readiness who need something more durable than a rolling programme of tool training.
- Teams whose people are quietly worried, where the honest conversation has not happened yet.
02 What happens in the room
- Formats
- 90 minutes · half day · full day
- Group size
- 5 to 150
- Investment
- From SGD 8,000
- Grounded in
- WEF Future of Jobs 2024
- Delivered by
- The co-founders
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It opens with the data rather than an opinion. Participants are asked which skills they think will matter most by 2030, and then shown what employers actually said in the World Economic Forum’s Future of Jobs survey. Creative thinking leads. Resilience and adaptability sit in the top five. Leadership and social influence are rising across every sector, and curiosity and lifelong learning now appear in job specifications. The gap between what the room guessed and what the data says is usually the most useful ten minutes of the session.
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From there the argument is straightforward and gets stated plainly: AI handles the routine, so you must own the judgement. AI moves fast, so you must think clearly under pressure. AI has no skin in the game, so you have to bring it. None of that is a skill you install; it is closer to a way of operating.
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The rest of the day builds the four identities that answer it — Founder Mindset for owning outcomes amid ambiguity, Collaborator for the collective wisdom no individual holds, Creator for bringing the new and unseen to life, all underpinned by Positive Psychology and each person’s actual strengths. Participants self-evaluate against the dimensions behind each one and pick the two that matter most in their role.
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The session deliberately does not teach prompting, tools or platforms. Those change every few months and there are better places to learn them. Identities do not date the same way, which is the whole argument for spending a day on them.
03 What changes afterwards
Teams stop treating AI readiness as a training backlog to work through and start treating it as a question about where their people add judgement. That reframing is most of the value, and it tends to survive the next tool cycle.
Practically: fewer requests for tool courses, more conversations about which decisions should never be delegated to a system, and a leadership team able to answer their own people honestly about what is changing and what is not.
04 Proof
"Brian was engaging without being overbearing, the time went by really quickly and there were some really good points raised which helped to see things from a different angle."
05 Questions
What does preparing teams for the future of work actually involve?
Working out which parts of a specific team’s work AI is about to absorb, and then developing the part it will not — judgement, framing a problem worth solving, deciding under ambiguity, and the identities that hold up when the tools keep changing. It is not a forecast and it is not a technology briefing. It is a session about what a particular team should be getting better at now.
Is this an AI training course?
No. There are no tool demonstrations, no prompting techniques and no software walkthroughs, and there are better providers for those. This session is about what remains valuable in a person as AI absorbs routine work — judgement, ownership, collaboration and creation — and how a team builds those deliberately. Tools will keep changing; the intent is to prepare people who do not need re-equipping every time they do.
Our people are anxious about AI. Will this make it worse?
It generally does the opposite, because the anxiety is usually about ambiguity rather than about the technology. Naming what actually changes, what does not, and what a person contributes that a system cannot is more settling than reassurance is. We do not pretend nothing is changing — that costs credibility in the first ten minutes.
What data is this based on?
Principally the World Economic Forum’s Future of Jobs Survey 2024, which asks employers which skills they expect to grow in importance by 2030. We use their findings rather than our own predictions, and show the source on screen so a room can argue with the data rather than with us.
Ready
to begin?
Every engagement starts with a conversation. No pitches. No proposals. Just a direct dialogue about what you want to design.