Most AI deployments have negative ROI according to OpenAI insider

You told me that you find that a lot of companies actually have negative ROI on their AI deployments, which, I think is what a lot of people you read about and feel and think.

37:37 / 38:14

your API, your platform building on on your on your tools. You told me that you find that a lot of companies actually have negative ROI on their AI deployments, which, I think is what a lot of people you read about and feel and think. And it's interesting you're actually seeing that. What what's going on there? What are they doing wrong? What do you what what's happening in the world of AI and deployments in our way? Yeah. So so to be clear, I I I don't, like, explicitly see quantitative numbers around this. You know, it it's actually really hard to measure these things.

But especially from observing some companies kind of trying to do AI, I would not be surprised

About this clip

OpenAI's Sherwin Wu reveals that many companies are seeing negative returns on their AI investments, though he admits the data is hard to measure quantitatively. He discusses what he's observing from companies attempting AI implementations and hints at common failure patterns.

Why this clip

A contrarian perspective from an OpenAI insider about widespread AI implementation failures challenges the hype narrative.

37:37 - 38:1437smarket insight

Share

LinkedInX

What they said next

Silicon Valley lives in an AI bubble while the real world hasn't caught up

38:49 - 35s · market insight

More from this episode

Similar clips from other shows

From the blog

Want clips like this for your podcast?

We find your top 5-8 clips, write the hooks, and deliver ready-to-post content. First 2 episodes are free.

Get 2 Episodes Clipped Free