• 2 min read
AI rollout is outpacing worker training in UK firms
TrustedTech warns uneven AI training is creating a two-tier workforce, with 38% of employees self-taught and only 23% formally trained.

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Companies are pushing AI into the workplace faster than they are preparing staff to use it, according to new findings from TrustedTech, which warns this could create an “AI underclass” inside some organizations.
The report points to a sharp confidence gap in the UK. Around 74% of decision-makers said they feel confident using AI at work, but only 44% of junior employees said the same. Training appears to be a major reason: 38% of employees said they are self-taught in AI, while fewer than a quarter — 23% — said their employer has provided formal AI training.
Workers also raised concerns about guardrails. 41% said their employer is not providing enough safety and security training, even as AI deployments and spending continue to rise. Despite the amount of self-learning already happening, 47% of employees said it is their employer’s responsibility to support training and upskilling.
“Employees are being told AI will transform the way they work, yet many have received little training on how to use it effectively, securely or confidently.” “The people who are most confident with AI will continue to build skills and productivity, while others risk being left behind through no fault of their own.”
Separate data from Notion shows a similar mismatch between executive confidence and workforce readiness. While 60% of AI decision-makers said their organization is ready to deploy next-generation agentic AI, only 36% of employees agreed.
Notion said 88% of workers remain at Levels 1 and 2 of AI readiness, using the technology mainly as a brainstorming tool or assistant. Just 12% reached Levels 3 and 4, where AI is treated more like a teammate or built into system workflows.

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According to Notion, one of the clearest markers separating more advanced organizations is stronger governance and oversight — a point that echoes TrustedTech’s finding that many employees still lack clear guidance.
“The leaders pulling ahead are the ones doing it thoughtfully: integrating AI into how work runs, building trust across teams, and measuring real business impact.”
Enterprise Editor
Marcus follows the money. He covers enterprise software, cloud architecture, and the tectonic shifts in Big Tech strategy. He translates dense earnings calls and complex M&A activity into actionable insights about where the industry is actually heading. If a tech giant makes a silent pivot, Marcus is usually the first to notice.
via TechRadar


