Matthew Le Merle

speaker

473 appearances 1 recordings 1 series first heard Jul 2026 last heard 5 Jul

Matthew Le Merle’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Finding Peak with Ryan Hanley · The Autonomous Digital Economy Is Here · 5 Jul 2026 podcast

So we need a device for that.

And the same with the location in the warehouse.

And so you shouldn't be surprised if we're deploying robotics and equipment in warehouses and we're displacing human beings because the human form factor isn't ideal for many of the tasks that grew up in the Industrial Revolution.

And in fact, many of the jobs we created in the Industrial Revolution were not really very nice jobs for humans to do.

Right.

It's sort of we know that we we had them one at some time, you know, doing manual labor on massive scale in mills and in factories and other things that were really bad for the health of the humans.

And we we had labor movements and we had to have working condition decisions.

And then eventually we got rid of the mills and the people that had to work in them and all got, you know, tissue damage.

in their lungs, just like the miners got all the black lung from the coal dust.

So, so, so why am I starting here?

Because I think that's the way to think about it.

You know, we can get more precise if you wish and talk very specifically as you did about, do I see companies using advanced AI agents to drive top line growth?

Well, of course.

You know, it's all like, because are humans very good at trying to identify which of the 400 million Americans are most likely to want to buy the product?

No, because we can't get ahead around 400 million, let alone build profiles for 400 million people and try and identify the signals that would have us know if these 10 million of the 400 million are the right ones to take this offer.

And it's not a new thought because MBNA and Capital One were trying to figure out how to do better credit card solicitations with database technology and algorithms 40 years ago.

So the big difference is this.

Number one.

Clearly, the LLMs have made big data analysis and algorithmic decision-making and machine learning ready for prime time on a scale we could not have imagined.

The second is the agents, which are basically just software, the agents are able to do work better and better, and they're beginning to be better than us at more and more of the work that we do.

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