How should companies think about using generative A.I.? While many businesses have rushed to embrace the technology, putting it directly into customer-facing products, many others are hesitant, afraid of copyright issues, the tendency of large language models to hallucinate (the A.I. industry’s preferred term for making up information), and worries about how expensive it is to run generative A.I. models at scale.
KPMG asked 225 executives at U.S. companies with revenues in excess of $1 billion annually for their views on generative A.I. The results, published yesterday, show that while the vast majority thought generative A.I. would have a major impact on their business in the next three to five years, 60% said they were probably still two years away from implementing their first generative A.I. solution. Cost and lack of a clear business case were cited as the primary concerns holding back implementation.
