They plan their next steps
Map how AI could change the work they do or want to do, and decide what to learn, try and pursue next.
For universities, companies and foundations
We help the next generation find their path in the future of work.
Bring our four-week talent accelerator to students in your university or professionals in your company. In a world nobody can map, they build the direction, the skills and the judgement they need to thrive with AI.
Eight live sessions. No coding experience needed.
Organisations we have worked with
Why we do this
People should grow with AI.
From climbing the ladder to riding the exponential curve.
With AI, people should gain more say over their working lives and the ability to build things they once needed a whole team to attempt. We want AI to expand what people can do and help them find new opportunities as work changes.
That means learning to direct AI, judge its work and decide what is worth doing. In the Accelerator, participants practise on real challenges, discovering what they can accomplish and choosing where to take it next.
What each person takes away
Participants work in teams of three to five on a real problem from a Challenge Partner, an organisation that brings the challenge.
They build their own AI workspace
Set up AI with their materials and instructions. Practise giving it work, checking results and deciding what to use.
They build and test a useful solution
Work on a real problem, test with the person it is for, and hand over the work with a short guide and its known limits.
They develop their own view of AI
Discuss difficult choices and write a position they can explain, including which decisions they would keep for themselves.
We assess each person on their own work. Each participant demonstrates what they did and explains their decisions. The shared team result does not determine their assessment.
At the final, each person presents their AI workspace and contribution to the challenge, a career plan, and a brief connecting changes in AI to their own practice and position.
How you can take part
You can bring participants, contribute a challenge or pay for someone to attend. Your institution can do more than one.
Host
Bring participants
Bring people you teach, employ or support, and help connect the programme with suitable Challenge Partners. A cohort can include up to 40 people.
Discuss hosting
Challenge Partner
Bring a real challenge
Bring a problem a small team can work on over four weeks. Introduce it, choose an approach and review the final work.
Discuss a challenge
Sponsor
Pay for someone to attend
Cover the cost for students or professionals who could not otherwise join. A host brings the participants and a Partner brings the challenge. You make sure people who need it can take part.
Discuss sponsoringEach Challenge Partner works with at least two teams. Alongside the Partner's three meetings, the person who would use the solution takes part in testing during sessions 6 and 7.
Ugo and Madison teach all eight sessions and guide participants through workspace setup, the project and the final presentation.
How the four weeks run
- WEEK 1
Explore your future with AI
1See what becomes possible in your work
Participants set up their AI workspace and map how AI could change career options.
2Learn without handing over your thinking
Partner introduces the challengeThey explore when AI helps them learn and when it does their thinking.
- WEEK 2
Choose your direction and learn to question AI
3Choose where you want to contribute
Each person chooses a goal and considers who their work could help or exclude.
4Practise judgement and plan your learning
They question AI’s suggestions, check evidence and choose a skill to develop next.
- WEEK 3
Prove your skills and examine AI’s impact
5Build something that shows what you can do
Partner chooses an approachTeams build and test a solution; each person records evidence of their contribution.
6Consider whose work AI depends on
They debate who owns AI’s output and what it takes from other people’s work.
- WEEK 4
Decide how you want to work and live
7Share your work and your view of AI
Each person shares what they learned and explains their position on using AI.
8Choose your next step and protect your time
Partner gives feedbackThey finish their career plan, including boundaries for working hours and reliance on AI.
FACILITATORS
Learn with Ugo and Madison
Ugo Bot
CO-FOUNDER, FUTURE OF WORK LAB
Ugo helps people take an active role in shaping their working lives with AI. At Future of Work Lab, he works with non-technical professionals to build personal AI operating systems on their own laptops, which they can keep adapting as their work changes.
He and Madison built the system around their own business first, using it for everything from proposals to bookkeeping. He brings that experience to the Accelerator, helping participants explore what they can now create and learn, rethink their career choices and take initiative in building opportunities of their own.
Madison Bonovich
CO-FOUNDER, FUTURE OF WORK LAB
Madison is an entrepreneur with more than eight years of experience running her own company. She previously worked at the United Nations on complex global challenges. Today, she helps students and professionals rethink how they work and build personal AI operating systems without a coding background.
She starts with the work people actually do: where time is lost, errors happen and decisions need human judgement. In the Accelerator, she teaches participants to brief AI clearly, delegate real work, review what comes back and raise the standard. People keep responsibility for the decisions and relationships.
Before we talk
When could it run, and what would it cost?
Dates and price are still being confirmed. Tell us who you would like to involve and the timing you have in mind.
How much time and what software will participants need?
There are two live sessions a week. Weekly hours, preparation time and any software costs are still being confirmed. Participants need a laptop they can install software on.
Who finds the Challenge Partners, and what do they commit to?
Hosts bring access to prospective Partners; who approaches and confirms them needs to be agreed. A Partner supplies the brief before session 1 and commits to sessions 2, 5 and 8 before the cohort starts. The intended user also joins testing in sessions 6 and 7.
Can a university offer credit?
Credit arrangements need to be agreed with the university. The programme runs over four weeks; how it fits your teaching calendar is part of the conversation.
Who owns the work, and how is sensitive information handled?
Ownership, permitted data and confidentiality terms are not settled. These need to be agreed before anyone shares material or a cohort begins.
What would a sponsor receive as evidence?
Participants demonstrate their own work and explain their decisions. Teams record what they tested and learned. Any sponsor reporting and permission to share participants' work need to be agreed; no reporting package is confirmed.
Tell us who you would like to involve.
A short email is enough. Tell us about the people you have in mind and whether you would like to host, bring a challenge or pay for someone to attend. You do not need a finished brief.
ugo@futureofworklab.co