Randstad: AI Investments Fail Without Talent Infrastructure

According to research from Randstad, nearly a quarter of global technology professionals have left roles specifically because their employer failed to provide structured upskilling opportunities. 

Randstad Digital’s report – titled The AI Capability Gap: Why Technology Investment Fails Without Talent Infrastructure – finds that the most limiting factor when implementing AI is not a lack of investment in the technology, but a lack of investment in people. 

Workplaces that are overspending on AI and underspending on employee learning and development opportunities are developing an imbalance that Randstad refers to as the ‘Productivity Paradox’ – where companies lack the workforce capability to actually use the platforms they have invested in. 

“Enterprise AI isn't failing at the model level; it's failing at the implementation layer,” says Michael Morris, Global Head of Platform and Talent at Randstad Digital. 

“If you increase the velocity of your tools without increasing the capacity of your engineers to govern and optimise them, you get technical debt at scale.”

Insufficient AI investment 

Leading businesses are making significant investments in AI. 

According to CNBC, Alphabet, Microsoft, Meta and Amazon’s combined AI spend in 2026 is estimated to be close to US$700bn. 

Many companies are also investing in employee development alongside their AI spend, with Randstad finding that 63% of organisations have invested in AI training over the past year. 

This investment, however, is not always sufficient, with 52% of tech professionals reporting that they are seeking independent training because internal company programmes are unable to keep pace with the rate of change. 

Alongside this, 74% of technology professionals say they need to upgrade their skills to remain relevant, and 27% of tech talent report that their organisations are not doing enough to support their development.

Research from Google and Ipsos has shown similar results, with a study finding that just 37% of workers say their organisation offers guidance on how to use AI at work, and only 14% say they have been offered AI training. 

This can have a significant impact on business competitiveness. Fabien Curto Millet, Chief Economist at Google, told Fortune: ““Failing to invest in training means running the risk of losing ground to competitors who are already reaping these rewards.”

“Employers should consider what happens when their competitors are the ones achieving that kind of jump in quality and efficiency first.”

Building continuous learning infrastructure

To better support tech talent, Randstad recommends that organisations treat learning as “continuous infrastructure”. 

Digital training solutions, such as custom digital academies, can boost workforce readiness by 56% and enhance operational efficiency, says the report. 

Randstad also recommends that organisations approach learning as a “mission-critical” component – meaning that it is embedded into workflows, personalised for specific roles and measured by workload outcomes. 

“The question for leaders is no longer 'How much are we spending on AI?' but 'How fast are our engineering teams learning to work with it?” says Michael. “Upskilling can no longer be treated as an HR program or professional development perk. 

“It's business-critical infrastructure, part of your technology stack, not separate from it. It needs to be funded, architected, measured and continuously improved like any other mission-critical system. The organisations that view workforce capability as a layer of their technology stack are the ones that will finally see the AI ROI that has remained so elusive.”