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Companies pull back on rushed AI adoption as errors drain worker time
The fallout includes rising privacy and security risks and higher operating costs, as staff spend more time fixing technical and security mistakes, according to reporting cited in the story.
Employers that moved quickly to deploy rapidly changing AI tools are now dealing with a flood of errors and low-quality outputs that are taking time away from workers, according to analysis in The Guardian citing Reuters.
The story says the problems are also increasing privacy and security risks and pushing up costs, as employees spend more time cleaning up technical and security errors.
It adds that Meta scaled back plans tied to staff reductions and the use of more AI agents after finding employees were spending increasing amounts of time addressing technical and security mistakes, and it is expanding managerial ranks again after a 2023 efficiency push, based on LinkedIn posts cited in the report.
At Microsoft, the story notes that executive vice-president Ryan Roslansky publicly lamented the prevalence of AI-generated issues after the company rolled out AI widely internally, as described in the article excerpt.