Microsoft has published an economic forecast by Nobel Prize winner Daron Acemoglu predicting artificial intelligence will increase global GDP by only 1.5 percent over the next ten years. This figure sits far below the projections made by many technology companies. Acemoglu argues that the main obstacle is not a lack of computing power but the difficulty of restructuring work processes and upskilling employees. He suggests this transition could take longer than the shift to electrification because companies struggle to reassign tasks efficiently. Larger models alone cannot solve this issue without practical applications that simplify production workflows.
The report matters because it challenges the narrative that automation will rapidly displace human labour. Acemoglu contends that systems extending human capabilities outperform full automation, noting that high accuracy rates often fail to address real-world user needs. For Microsoft, this thesis supports a strategy of adding AI features to existing products rather than betting on large-scale workforce replacement. The analysis appears in the company’s blog, The Humanist Review of AI, where contributors sign their names by hand.
* Forecast predicts at most five percent of jobs will be replaced
* Microsoft avoids betting on large-scale automation
* Analysis published in The Humanist Review of AI
