Gartner finds AI-led job cuts do not correlate with stronger ROI
Updated
Updated · Computerworld · May 5
Gartner finds AI-led job cuts do not correlate with stronger ROI
6 articles · Updated · Computerworld · May 5
In a survey of 350 global leaders at large organisations using AI agents and automation, 80% reported lower headcount, sometimes by up to 20%.
Analyst Helen Poitevin said firms with better returns focused on productivity, revenue, growth and time to market, while some that cut staff had to rehire quickly.
Gartner forecasts AI-created jobs will outnumber losses by 2029; about 6 million roles may be automated from 2023 to 2029, while roughly 32 million workers a year see roles reshaped.
As AI freezes entry-level hiring, what skills guarantee a career for the next generation?
AI is everywhere except in productivity data. Are businesses chasing an expensive illusion?
If firing staff for AI backfires, what is the secret strategy of successful companies?
The $2.52 Trillion AI Investment Crisis: Why Most Companies Fail to Deliver ROI and Rehire Laid-Off Staff
Overview
Many companies that cut jobs expecting AI to replace human roles are now rehiring those same positions due to AI's current inability to handle complex, empathetic, and nuanced tasks. Surveys show most organizations maintain stable staffing while AI supports routine work, but premature layoffs lead to declining service quality and customer dissatisfaction, forcing costly rehiring within months. This cycle, combined with widespread AI project failures caused by talent shortages, unrealistic expectations, and hidden costs, creates intense pressure on leaders. To succeed, companies must shift from simple headcount cuts to strategic workforce planning that blends human skills with AI, focusing on reskilling, role redesign, and realistic AI integration for sustainable value.