The overarching message from this analysis is that plans amongst company leaders to disrupt competitors utilizing the new expertise—slightly than being disrupted–—might founder on a number of challenges that many executives seem to underestimate.
Executives anticipate generative AI to disrupt industries throughout economies. Overall, six out of 10 respondents agree that “generative AI technology will substantially disrupt our industry over the next five years.” Respondents that foresee disruption exceed these that don’t throughout each trade.
A majority of respondents don’t envision AI disruption as a threat; as a substitute, they hope to be disruptors. Rather than caring about threat, 78% see generative AI as a aggressive alternative. Just 8% regard it as a risk. Most respondents hope to be disruptors: 65% say their companies are “actively considering new and innovative ways to use generative AI to unlock hidden opportunities from our data.”
Despite expectations of change, few firms went past experimentation with, or restricted adoption of, generative AI in 2023. Although most (76%) firms surveyed had labored with generative AI indirectly in 2023, few (9%) adopted the expertise broadly. Those that used the expertise experimented with or deployed it in just one or a number of restricted areas.
Companies have formidable plans to extend adoption in 2024. Respondents anticipate the variety of capabilities the place they goal to deploy generative AI to greater than double in 2024. This will contain frequent utility of the expertise in buyer expertise, strategic evaluation, and product innovation.
Companies want to deal with IT deficiencies, or threat falling in need of their ambitions to deploy generative AI, leaving them open to disruption. Fewer than 30% of respondents rank every of eight IT attributes at their firms as conducive to fast adoption of generative AI. Those with the most expertise of deploying generative AI have much less confidence of their IT than their friends.
Non-IT components additionally undermine the profitable use of generative AI. Survey respondents additionally report non-IT impediments to the in depth use of generative AI. These components embrace regulatory threat, budgets, the aggressive setting, tradition, and expertise.
Executives anticipate generative AI to impress a wave of disruption. In many instances, nonetheless, their hopes to be on the proper facet of this innovation are endangered by impediments that their firms don’t absolutely recognize.
This content material was produced by Insights, the customized content material arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial employees.