AI is changing how people enter the workforce, the skills employers need and the opportunities available to develop them. But while much of the debate focuses on whether entry-level jobs will disappear, an equally important question is emerging: what happens when AI changes the work people traditionally learn through?
As routine tasks become automated, employers need to rethink how early-career talent gains the experience, critical thinking and professional judgement needed to progress. AI can create opportunities for more meaningful work, but over-reliance on technology also risks reducing the opportunities people have to develop these skills independently.
At the same time, who gets access to the opportunities that remain or emerge? Socioeconomic background, gender, ethnicity, neurodiversity, disability, access to technology and professional networks can all shape someone's ability to enter and progress in work. As recruitment practices and skills expectations evolve, employers have an opportunity to recognise potential rather than simply reward existing advantage.
In this Inclusion Lab, we'll explore what inclusive early-career pathways should look like in an AI economy, bringing together practical examples of how organisations are rethinking recruitment, AI literacy, structured learning, mentoring and career progression to ensure that the future of work creates opportunities for everyone.
