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Companies that are driven by generative AI operate differently in the following three ways: they prioritize using AI to address customer problems, they break down functional silos and involve employees in problem solving, and they use AI to improve customer experiences rather than just boosting efficiency.
In the age of AI, companies are dividing into the “haves” and “have nots,” with the majority in the latter camp. A recent BCG study found that only 10% of companies have mastered scaling gen AI. But this is not their workers’ fault. In fact, a recent BCG consumer sentiment survey found that 70% of workers are enthusiastic about the use of gen AI in the workplace. Workers appreciate the ability to accelerate their learning as well as reduce the toil in their everyday jobs. But as companies move on from bottom-up uses of gen AI, in which individual workers apply it to their own tasks, and onto redesigning whole processes for AI, anxieties go up. In particular, fears of job displacement become more and more of a concern.
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