A hands-on online programme for university students
Explore what AI could mean for your future, while learning to use it on a real project. Over four weeks, work with other students on a challenge from a real organisation. Build your own AI workspace, explore your next career steps, and discuss how you want AI to fit into your life.
Eight live sessions. No coding experience needed.
A Future of Work Challenge Partner is an organisation that brings a real problem for your team to work on.
Explore how AI could change work in fields that interest you. Build a plan for what to learn, try and pursue over the next twelve months.
Set up AI on your laptop with your materials and instructions. Learn to give it work, check the results and decide what to use.
Work with a small team on a real organisation's problem. Get feedback from the person you are building for and improve your solution.
Discuss difficult questions with other students, including which decisions you would hand to AI and which you would keep. Write a short statement explaining your stance.
Your team shares the Challenge Partner's project. You build your own AI workspace, which the programme calls a personal AI operating system, with your materials and instructions. In the final session, you adapt it to a task from your own week.
When you apply for an internship or your first job, it helps to have something you can show and explain. During the Accelerator, you work with a small team on a problem an organisation needs help solving. You try an approach, get feedback from the person who will use it, and improve what you built.
You leave with a project you contributed to and experience you can draw on when deciding what to do next.
Every session combines work on your challenge, personal AI operating system, career roadmap and stance on AI. What you learn in one shapes the others.
Your challenge shipped
Your personal operating system
Your career roadmap
Your stance on AIMeet your team and read the Challenge Partner’s brief.
Set up your AI workspace with your files and instructions.
Map how AI could change your current or future work.
Discuss how AI could change your job prospects and your say at work.
Ask the Partner questions and agree what your team will work on.
Write instructions that explain how you work and what matters to you.
Explain why this challenge matters to your next steps.
Examine when AI helps you learn. Write your first stance on using it.
Map the intended user’s work and identify where AI could help.
Save useful context so you can build on previous conversations.
Choose who you want to help and the difference you want to make.
Consider who else is affected when you change how someone works.
Prepare three approaches for the Partner, including what each would test and cost.
Question your AI’s answers and save instructions for a recurring task.
Choose what to learn next and find people learning it.
Examine the energy and resources your use of AI requires.
Build the approach the Partner chooses and test it on a real case.
Set limits on what AI can do independently as you build the workflow.
Choose a measurable result that shows your contribution.
Discuss how the location of your AI provider affects control over your data.
Watch the user try your solution. Measure what changes as you improve it.
Add an AI agent to check work against examples you graded yourself.
Map the people you can turn to and start one collaboration.
Discuss who owns AI-generated work and how its sources should be recognised.
Stop adding features. Watch the user follow your guide alone and improve unclear instructions.
Schedule checks and review which files and actions your AI can access.
Share what you learned where the people you want to reach gather.
Decide what needs human supervision and what a scheduled checker should record.
Demonstrate your solution to the Partner and hand over the files.
Adapt your personal operating system to a task from your week.
Finish your roadmap, including work boundaries, and discuss it with your team.
Examine how AI influences your choices and finish your stance.
CO-FOUNDER, FUTURE OF WORK LAB
I run the Accelerator so that students and professionals leave with the mindsets, the skills and the AI tools they need to face today’s disruption and keep learning as work keeps changing.
The program draws on years of hands-on work: with the United Nations on systemic problems, in San Francisco setting up and running an innovation accelerator for social change, then running talent accelerators for professionals and university students across Europe, Latin America, Africa, the Middle East and the Gulf. Most recently I have dedicated my time to building personal AI operating systems with individuals and small businesses who see AI as a way to widen the scope of what they can imagine and build.
CO-FOUNDER, FUTURE OF WORK LAB
I help professionals, new graduates and small businesses thrive in an economy where AI is part of every job. The people who do best will manage AI the way a good manager handles people: brief it well, delegate real work, review the output, raise the standard. That is what I teach.
I ran my own company for more than eight years and worked at the United Nations on complex global challenges. Today I build personal AI operating systems with professionals and students, and help universities and leadership programs bring AI and new ways of working into their curriculum. The question I keep coming back to: what is meaningful work when intelligence becomes abundant?
Join the waitlist and we will send you the dates and price when the programme opens.
