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 a four-week programme to university students and young professionals. They learn to use AI on a real challenge, build their own AI workspace and plan their next steps.
Eight live sessions. No coding experience needed.
We are discussing future programmes. Dates and price are still being confirmed.
Why we do this
People should grow more capable with AI.
We believe in AI's potential to expand what people can do. A person with an idea can build something they could not have built alone. We want people to develop their own abilities and use their judgement as they learn to work with AI.
Students and young professionals need opportunities to develop judgement through real work. When AI takes over tasks that once helped people learn, we need to create other ways to gain that experience. We also want them to discover what they can now build and contribute with AI.
That is why we built the Accelerator around real challenges and feedback from the people the work is for. Participants use AI to build something useful, test it and explain their decisions. As a partner, you help create the conditions for that learning by bringing a challenge, supporting participants or funding their place.
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 fund places. 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 hostingChallenge 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 challengeFunder
Fund places
Pay for people outside your institution to take part. You can work with a host that brings participants and a Partner that brings the challenge.
Discuss fundingEach 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
Get started
1Get started with your AI workspace
Participants set up their AI workspace and read the challenge brief.
2Meet your Challenge Partner
Partner introduces the challengeThe Partner introduces the problem; teams agree the scope and instructions for their AI.
- WEEK 2
Understand the problem
3Understand the problem
Teams map the intended user's work and identify what needs improving.
4Explore possible solutions
Teams compare possible approaches and prepare the Partner's decision.
- WEEK 3
Build and improve
5Build your first solution
Partner chooses an approachThe Partner reads the report beforehand, chooses an approach, and teams build a first version.
6Test and improve
The intended user tests the work; teams improve it and record what changes.
- WEEK 4
Hand over and take it forward
7Help someone use what you built
Teams stop adding features and watch the intended user follow the guide without help.
8Present your work and make it your own
Partner gives feedbackTeams demonstrate and hand over their work. Each person presents their own work and adapts their workspace to a personal task.
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 funder receive as evidence?
Participants demonstrate their own work and explain their decisions. Teams record what they tested and learned. Any funder 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 fund places. You do not need a finished brief.
ugo@futureofworklab.co