AI isn't paying off in the way companies think according to Gartner study (fortune.com)

A recent Gartner study highlights a disconnect between expectations and reality regarding AI's impact on the workforce. Surveying 350 global executives, the research revealed that while 80% of businesses that have tried AI or autonomous technologies reported job cuts, these layoffs occurred regardless of whether AI implementation yielded financial returns. Helen Poitevin, a VP analyst at Gartner, cautioned that focusing solely on headcount reduction limits the potential benefits of AI, which should be viewed as a tool for enhancing employee productivity rather than outright replacement. The findings underscore a growing divide among corporate leaders on the role of AI, with some believing it will augment decision-making while others anticipate full automation. Despite the surge in AI-related layoffs—amounting to over 49,000 in a single year—many of these reductions may stem from budget reallocations for AI infrastructure rather than genuine efficiencies gained from the technology itself. The study suggests that companies realizing true value from AI focus on "people amplification," integrating AI to enhance human capabilities rather than replace them. This approach could lead to better returns on AI investments and diminished fears of widespread job losses in the tech-driven economy.