Tech cuts push workers to self-fund AI, cloud training

Layoffs and reductions in company training budgets are prompting IT workers in the UK and other countries to pay for short courses, microcredentials and cloud-based labs in AI, cloud computing and cybersecurity to remain competitive.

Training providers report that hiring at large tech firms is down about 50% and roughly 30% at startups, making entry-level roles harder to find and pushing more professionals to upskill on their own. The Business Research Company projects the corporate training market will grow from $417.53 billion in 2025 to $439.82 billion in 2026. Pluralsight places the current global workforce training market near $400 billion and estimates the tech-skills segment is expanding 18–22% annually and could triple by 2030.

The shift in spending is uneven. UK employers invest about half as much in training as their EU counterparts, and government data show employer-reported training investment has fallen each year since 2011. Only about 6% of UK firms offered formal digital skills training in the last year. Industry groups say these declines leave many workers to source and sometimes finance short courses themselves.

Vendors and universities are changing course offerings to meet demand. Companies are moving from long classroom programs to short online modules, microcredentials and cloud labs. Pluralsight has launched an AI Academy with modular courses for professionals. Munster Technological University, which began a cyber skills program five years ago, added online AI and cloud courses that pair live lectures with cloud-based practical labs and cyber ranges.

Workers cite two main reasons for paying out of pocket: to reduce layoff risk and to keep pace with rapid technical change. Pluralsight data indicate about 65% of workers are considering reskilling because of current market conditions. Training providers report rising private spend on short, practical learning that can be completed alongside full-time work.

Industry figures highlight limits to self-funded learning in areas with high risk. Faye Ellis, principal training architect at Pluralsight, expects continuous retraining will be needed as AI, cloud and data analytics advance, noting many workers will require significant reskilling by the end of the decade. Nimmi Patel, associate director for policy at TechUK, argued that firms that continue to upskill staff will be better prepared for changing market demands.

Security and AI present specific concerns. Chris Dimitriadis, chief global strategy officer at ISACA, pointed to a widening gap between the skills employers need and the skills current teams have. Greg Hanson, head of EMEA at Informatica, warned that users often rely on AI without the background to evaluate outputs and that many organizations lack the skills and data foundations to scale AI beyond low-risk uses.

The pattern observed by providers, educators and industry groups is a move to shorter, practical formats and greater individual responsibility for training. Companies, workers and training institutions are adjusting offerings and budgets as demand for AI, cloud and cybersecurity expertise grows.