IBM Warns AI Is Eroding Critical Thinking

Artificial intelligence is supposed to make employees more productive, but a new IBM study suggests it may also be weakening some of the abilities workplaces need most. Six in ten employees surveyed said they worry that AI is eroding their skills, with critical thinking emerging as the most frequently cited concern.

The IBM Institute for Business Value study, conducted with Oxford Economics, surveyed 1,500 chief human resources officers and 8,800 full-time employees across multiple countries and industries. It found a revealing gap between what leaders believe workers need and what employees prioritise.

Seventy-one per cent of HR leaders identified the ability to supervise, validate and override AI output as the most essential workforce skill. Only 29% of employees ranked judgment as important. That disconnect matters because automated systems can produce confident answers that are incomplete, biased or simply wrong.

IBM found that 80% of HR leaders believe AI creates invisible work. Employees must check recommendations, repair errors, supply missing context and manage exceptions, even when the technology is marketed as automation. Forty-two per cent of workers said AI increased their workload or produced work that went unrecognised.

Responsibility is another problem. Forty-three per cent of employees said they receive the blame when AI gets something wrong. At the same time, many workers do not feel secure challenging automated recommendations. That creates a dangerous arrangement in which a machine influences the decision but a person carries the consequences.

Companies cannot solve this by offering a short prompt-writing course. Workers need subject knowledge, confidence and enough time to question the system. Managers also need clear rules explaining which decisions are human-led, which are AI-assisted and which can be safely automated.

The findings fit a wider debate across AI-enabled workplaces. Productivity gains are real, but they can conceal declining expertise if employees stop practising the reasoning that once helped them recognise a bad answer.

The lesson is not that businesses should reject AI. It is that efficiency must not become intellectual dependence. The strongest organisations will use AI to remove repetitive work while deliberately preserving human judgment, curiosity and the freedom to say that the machine is wrong.