Organizations are at various stages of adopting generative AI (genAI). Some are scaling pilots to production and demonstrating efficiency benefits, while others are investing in fluency and exploring AI embedded with third-party software. There is also a group that is taking a wait-and-see approach. IT leaders have learned six hard truths about genAI adoption. Firstly, the shortage of tech talent remains a significant barrier.

Secondly, not all use cases add value, so organizations must focus on initiatives that solve real business problems with little risk. Thirdly, legal and regulatory uncertainties and high costs are causing delays in adopting genAI at scale. Fourthly, the challenge of monitoring adoption and usage of the technology is a concern for IT leaders. Fifthly, obtaining high-quality data is difficult, but organizations should focus on data that can serve multiple use cases. Lastly, despite the challenges, genAI is here to stay, and IT leaders anticipate both successes and failures in the years to come.