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I think it's a shiny new toy. In many cases leadership doesn't see the errors inherent in AI. AI takes care and maintenance to be able to take over manual processes. Unless companies approach cautiously and invest in parallel QA processes at first, errors will compound and could really put companies in a bad spot.
The returns aren’t there yet but I expect a refocusing on AI tied to cost reductions (speed to market, customer service, and headcount reductions) in ‘26.