Why do only a small percentage of GenAI projects actually make it into production?

This post was originally published on Stack Overflow

It seems like everybody in tech is working on a new AI project. But how many of these generative AI (GenAI) initiatives will make it into production—much less lead directly to a new revenue stream?

In all likelihood, not very many. A 2023 Gartner report found that while tech executives are full of enthusiasm for AI initiatives, actual deployment rates remain low. On our podcast recently, Google Cloud’s director of AI/ML and generative AI, Miku Jha, estimated that in only about 15% of AI adoptions does the organization have a clear idea of what it wants to accomplish using GenAI. In other words, 85% of the time, it can be more of a spend first, think later situation: companies are investing in GenAI projects without a clear understanding of how they’re going to use the technology to create business value. Only in about 5% of cases, Jha suggested, will GenAI projects lead to significant monetization of new product offerings.

Direct monetization isn’t always the goal for GenAI initiatives, but for businesses considering how (and how much) to invest in this new technology, the question of how to guide a GenAI project from initial enthusiasm all the way to successful implementation is highly

Read the rest of this post, which was originally published on Stack Overflow.

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