Alex Embiricos
speaker
1,288 appearances
2 recordings
2 series
first heard Feb 2026
last heard 21 Feb
Alex Embiricos’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 2.
Appearances
So I think that it is our job to make sure that we have the models with amazing capabilities and then eventually to get to a world where this is like highly productized.
And so you just have this like magic text box or audio input or whatever, or you can just add AI to your like group chat and it just starts to help.
But I think there's quite an interesting in-between stage.
And I think that that is actually where the most value lies right now.
So here's what I mean.
You could try to productize a specific feature of AI for a specific market.
And many companies are doing this, but I think it's a little bit hard to know what exactly will work, what is the right form factor.
And someone was on your podcast earlier, and they said something that I thought was quite interesting about how you cannot adopt AI at enterprise without FDEs.
Yeah, so even though I am literally hiring FDEs, and if you're an FD, please apply for a job with me, I actually disagree with that entirely.
So what I think we need to do is build tools for people.
You can use FDEs, as Fitzpatrick said on the podcast, to automate workflows, right?
But then you're limited by what you, from your top-down perspective, can do and what you, from your FDE staffing, can staff to be built, right?
But for me, the most exciting future with AI is one where everyone just feels like a superhuman or a god just like empowered by AI.
And for that, we need tools that are for people, for individual users, and that everyone feels fluent with.
I think the phase that's most interesting that we're at now is building for the kind of people who are interested in figuring out how to use AI.
So what we need to ship, and I think this was like the genius of like when Cloud Code first shipped, what they really got right.
was they had this tool that was super easy to use in whatever context you want, just in your terminal.
And people started experimenting with where to use it.
And so I think as we think about AI being used outside of coding work, one of the most important things we can do is not overly build it like, OK, this is AI capabilities, but only specifically for finance, only specifically for this workflow, but actually build a much more open-ended tool that someone can just use for any given task.
Yeah, so that's why I think it's the bottleneck.
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