Non-graduates, silver surfers and those in lower socio-economic brackets will be left behind as the rise of AI creates a ‘skills glass ceiling’. That’s according to the latest Robert Half Jobs Confidence Index – an economic confidence tracker produced in partnership with the Centre for Economics and Business Research.

The latest iteration of the Robert Half JCI revealed that graduates and those completing further education are being set up for better success in the AI revolution, with 31 per cent expecting access to training through work and 33 per cent reskilling independently in the next two years. In comparison, just 19 per cent of non-graduates plan to independently upskill and only 18 per cent expect access to this through their employer between now and 2026.

Looking further down the line, 50 per cent of graduates are planning to access training through industry and professional member bodies in the next five years, with just 37 per cent of non-graduates planning to upskill via these channels. These combined statistics suggest that those without a degree or further education will be left behind in the AI revolution, which will only exacerbate both skills shortages and the widely reported social disparities and economic inactivity rates.

According to the statistics, it’s not just a lack of access to training that is set to disadvantage non-graduates. There also appears to be a gap in recognition of the impact of AI and skills between those with a degree and those without. More than half of graduates indicated they are concerned about the impact of AI on their jobs over the next six to ten years, compared to just a third of non-graduates.

Elsewhere, the data also suggests that older workers are at risk of being pushed out of the workforce due to AI. Just 19 per cent of those over 55 are seeking AI training themselves over the next few years while only 18 per cent are looking for this through their employers.

The data also shows that those in lower socio-economic groups are at risk of missing out on vital upskilling. While 29 per cent of those in the upper-mid social tier are proactively seeking and funding AI-related training themselves over the next two years, this falls to 25 per cent of those in the lower social grade. This is likely to result from limited access to the financial resources one needs to undertake training.

It should be noted that while the social demographic likely to hold professional or managerial positions in their careers, and have completed higher education, are more likely to be able to fund their own skills development, they are also planning to utilise employer-led schemes, with 47 per cent expecting access to this training. In contracts, only 40 per cent of those in the lower social grade are seeking this through their employer.