The big mistake business leaders make with AI (and how to avoid It)

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After a couple of years of high excitement around the potential of artificial intelligence (AI) to drive results for business, many leaders are now highly impatient to deploy the technology and have great expectations for what AI can deliver. Tech leaders are hopeful that AI can deliver everything from streamlined operations to game-changing improvements in the way the whole organization does business, and planned AI spending is rising 61% this year, according to new research. Business leaders need to maintain a firm grip on reality, and temper their AI enthusiasm with a grounded view of what the business really needs AI to deliver. In the past two years, many companies have invested in AI only to find that their proof-of-concepts have not delivered results. Getting the right results from AI investment requires careful thought beforehand, combined with precise attention to detail during the project itself.

The past two years have seen an unprecedented amount of technology hype around the potential of generative AI, so it’s all too easy to understand how a business leader could be tempted to ask their IT teams why they are not using generative AI right this second. The problem is that in those businesses, neither the leaders who are swept away in a wave of AI enthusiasm, nor their IT teams, really know how AI can deliver a business advantage. Before rolling out AI, leaders need to be certain that they are doing so for the right reasons (and not just using it because their competitors are).

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