Jaden Schaefer

Like, I don't even know how you really monetize that because other than humans reading conversations out of like a novelty, because they're interesting, like these AI agents aren't probably buying things and probably not clicking on ads.

I mean, you would hope that if you had an AI agent go to a task, it's not going to click on an ad to get it done.

So I don't think that they're buying it for that, right?

The ad revenue model that Facebook has kind of relied on up

up until now i think they're purchasing the company like this because they're like look this is a software and a tool that ai agents are orchestrating and communicating on and so if we have ai agent software and we need them all to communicate what are some of the lessons and what are some of the things we can learn from this project

to incorporate into what we're doing in the future.

So I think that's where Meta is probably going with this, but I'll definitely keep you guys up to date.

Thank you so much for tuning into the podcast.

If you enjoyed the episode, remember this is my birthday week.

If you could leave a rating review for my birthday, that would be absolutely incredible.

Hope you guys all have a fantastic rest of your day and I will catch you in the next episode.

Welcome to the podcast.

I'm your host, Jaden Schaefer.

Today, I want to talk about what investors are doing in 2026 when it comes to investing in AI startups.

And I think it's interesting because right now, investors are basically telling you what they aren't looking for anymore in AI SaaS companies.

It has shifted a lot, which is interesting for me being someone who has my own SaaS company, AIbox.ai, which I'm sure you've heard me talk about before, because we recently did an entire redesign of the platform where you get access to over

50 of the top AI models in one place for $8.99 a month.

But I think this is broadly speaking, pretty interesting and important for the overall AI industry, because what investors are looking for here, number one means this is what people are building.

But this is also what we're likely to see more of when it comes to updates inside of the AI industry as a whole.

So this is what we're going to jump into on the podcast today.