What my three businesses reveal about skills, AI and the future workforce
I have, by any traditional measure, a slightly unusual working life. I run AmpliTask, where the work centres on future of work, work reengineering, skills intelligence and commercial clarity for organisations navigating AI. I speak, host and write through alisonettridge.com, where the task is to make complex shifts in work feel urgent, practical and human led. And I own and manage Brynderwen Airbnb, where the work is hospitality, organisation, guest experience and the thousand small details that make people feel looked after.
On paper, these look like three very different jobs. In reality, they are three different projects built from different combinations of my own skills blocks.
That is the point. I am not one job title. I am a bundle of skills, judgement, experience, energy and interests, recombined across different kinds of work. Some blocks show up everywhere: creativity, organisation, communication, problem-solving, commercial thinking. Others are more specific: skills intelligence and work redesign for AmpliTask; hosting and stage presence for speaking; hospitality and operational discipline for Brynderwen.
AI is now part of that operating model. It is fundamental to freeing up time, increasing productivity and giving me more space to think. It helps me draft, structure, research, test ideas, package content, plan activity and remove friction from repetitive tasks. It is also fundamental to creativity, not because it replaces original thought, but because it gives me more starting points, more routes through a problem and more ways to turn an idea into something useful. Used correctly, AI challenges me, brings different thoughts and voices to the process and ultimately leads to a broader, more creative and better output.
The discipline is in knowing the difference between tasks or activities. Some tasks can be automated (unfortunately not making beds or cleaning Brynderwen AirBNB!). Some can be augmented, keynote speech writing and image design. Some still fundamentally require me: my judgement, taste, relationships and connections, ethics, experience, empathy and ability to read a room. The future of work is not about humans versus AI. It is about understanding work at the level of tasks, then deciding what technology should do, what humans should do, and where the combination creates something better. Technology is not shaping the future, we are!
That is where education should be paying much closer attention.
We still organise too much learning around the old architecture of subjects, courses, faculties and departments. A student chooses a course, and inside that course are multiple subjects. But the future economy will not simply ask what course someone completed. It will ask what they can do, how quickly they can learn, how well they can work with technology, and whether they can apply human judgement in ambiguous situations.
Instead of treating a course as the unit of learning, educators should break it down into the skills each subject actually builds. What does this module give the student? Analytical reasoning? Communication? Data interpretation? Project management? Ethical judgement? Customer understanding? Collaboration? Creativity? Technical fluency?
Once we can see the skills blocks, we can build learning differently. Students should still cover the essential skills required for the career path they want to pursue. But they should also be able to combine those essentials with the skills that play to their strengths, protect their future employability and genuinely interest them. A future engineer may need communication and ethical decision-making as much as technical ability. A future HR leader will need data fluency, commercial judgement and AI literacy alongside empathy and trust-building. A future entrepreneur may need creativity, finance, technology, storytelling and operational grip.
This is not about making education narrower. It is about making it more useful, more human and more adaptive.
External labour market intelligence can help educators see which skills are rising, which are becoming foundational across occupations, and which human-centric capabilities are likely to remain valuable as AI changes the structure of work. Governments should be doing the same through the lens of industrial strategy. If the UK wants growth in particular sectors, regions or technologies, it must understand the workers, skills and learning pathways required to make that strategy real.
A modular approach also creates a practical opportunity for institutions. If learning is organised around reusable skill blocks, rather than locked inside old faculty silos, education providers can create economies of scale. The same communication, data, AI literacy, project management or ethics block could support multiple pathways, industries and learner groups.
My own career is not the template for everyone. But it is a signal. The future workforce will increasingly be made up of people who combine skills in more fluid, project-based, AI-supported ways. Education should not wait for that future to arrive. It should start building for it now.
The shift is fundamental. Stop organising learning around subjects alone. Start organising it around the skills, tasks and the human strengths the next generation will need to thrive.