Investigating Unexpected Employee Fallout in The Hidden Cost of AI Acquisitions
In Machines we Trust
In Machines we Trust
4.3 • 6 Ratings
🗓️ 15 September 2025
⏱️ 10 minutes
🧾️ Download transcript
Summary
In this episode, we’re investigating the unexpected layers of employee fallout behind The Hidden Cost of AI Acquisitions. We uncover how these hidden dynamics are leaving long-lasting effects on talent retention beneath the surface. This discussion peels back the curtain on what AI takeovers mean beyond the headlines.
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Transcript
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| 0:00.0 | Today on the podcast, I want to talk about the downside of AI acquisitions. So very often I'm |
| 0:06.1 | talking about all of the top companies who's buying who. We see these $100 million payouts. |
| 0:11.1 | We see how the world of mergers and acquisitions and AI has been completely different. |
| 0:15.6 | I think than any time in the past where you see all of these kind of acquires, you hire the top |
| 0:19.1 | talent, you leave the company gutted. It's left a really messy playing field and so much so that customers themselves are actually |
| 0:26.8 | demanding things change. So I want to get into two specific cases in the last few days that have |
| 0:32.4 | raised money and some that, one that has just been acquired and basically the outcome and what |
| 0:37.2 | customers are saying because I think this is a really fascinating story, people do not always love it when a company they're using gets acquired for a lot of reasons. But in some cases, the customers are demanding before becoming customers that these companies don't get acquired. So we're going to get into all of that. Before we do, I wanted to mention, if you ever want to try the top AI models that I talk about all the time on this podcast, |
| 0:57.3 | I'd love for you to try out my platform, which is called AI Box. So AIBox has the top 40 different AI models on there. You can try them all for one subscription price. So, you know, Open AI, Anthropic, Google, |
| 1:08.6 | you know, |
| 1:09.5 | GROC, all of them. |
| 1:10.5 | One cool feature that we built |
| 1:11.6 | into it is the ability |
| 1:13.1 | to regenerate a prompt with multiple |
| 1:15.0 | AI models. |
| 1:15.6 | So I recently asked a question, you know, I asked, you know, generate an image of a LinkedIn |
| 1:19.8 | influencer traveling to Japan with some fans. |
| 1:22.2 | I asked it on Flex 1.1 Pro. |
| 1:25.1 | I got it to regenerate that same image with Ideogram, with Flex1 |
| 1:29.6 | Chanel, and also with ChatGBTGPT image 1. And the cool thing is you can actually click |
| 1:35.4 | a Compare tab and pull up all of the images side by side to see what all of the different |
| 1:41.5 | models are actually able to generate, what it all looks like and compare them all side by side, which is a really cool feature. Now, you can also do this with audio and you can also do this with text as well. So generate, you know, blog posts or emails and compare what different models are able to output. So if you want to try it out, there's a link in the description to AIbox.a. It's currently in beta and it's $20 a month. I'd love to hear what you have to |
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