"Yet when it comes to AI in the workplace, there are suspiciously few stories of companies successfully integrating the tech. There is, however, plenty of failure: the fintech firm Klarna took to forcing engineers to answer customer service calls after its AI deployment stalled out, law firms are being punished for AI's embarrassing errors, while other companies have resorted to hiring freelancers to fix AI's sloppy mistakes."
"In a recent earnings call, Accenture's CEO Julie Sweet said the firm's number one priority is "upskilling its reinventors," which iscorporate-speak meaning it expects workers to have specific training in AI systems like large language models from now on. "We are reinventing what we sell, how we deliver, how we partner and how we operate Accenture," Sweet saidon the call. "In short, on-the-ground, advanced AI is becoming a part of everything we do.""
Heavy AI spending has produced few clear workplace successes and many visible failures. Examples include Klarna forcing engineers into customer support after AI stalls, law firms suffering for AI errors, and companies hiring freelancers to fix AI mistakes. Accenture laid off roughly 11,000 employees while betting that businesses will prioritize AI expertise, launching a six-month restructuring expected to cost $865 million. The firm emphasizes "upskilling its reinventors," signaling expectations that workers obtain specific training in AI systems like large language models. Advanced, on-the-ground AI is being positioned as integral to operations, and workers without AI skills risk replacement by a global talent pool.
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