Lindsay Ellis
speaker
27 appearances
1 recordings
1 series
first heard Jul 2026
last heard 21 Jul
Lindsay Ellis’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
So these new companies founded over the last few years, they have this technology woven into their DNA in a way that the big companies who employ thousands of people and who we often see in the headlines don't.
don't in the same way and so if we look at how they structure operations how they use this technology even kind of what they expect out of their staff it can offer just really interesting clues for what work is going to look like for the rest of us as this technology gains a firmer hold in the workplace.
PointHound is a website that helps people book flight deals with credit card points.
And it's actually the second company that its CEO has started in the last decade.
So he offers just a really interesting experience.
kind of petri dish to see how AI has started to change corporate operations.
In his old company, at its peak, they had 150 staff and this company has four.
And when I asked him if things were to really take off, how many more people would you need?
He was like, maybe one more engineer, maybe one person to help out with marketing.
But he really believes that a lot of growth could be handled by just this core four.
That's totally right.
And the thing that each of these founders told me was just that it really is woven through every part of the business, even thinking about
how individuals see their roles.
So you wouldn't necessarily just have a manager anymore overseeing a team or a team of teams as we see in some corporations.
That manager would need to be contributing individually, overseeing agents who are doing the work, maybe having a direct report, but it really is what they call a player-coach model, altering workflows and altering the reporting lines
so that everybody is getting their hands dirty and there are fewer layers between the bottom rung of the corporate ladder and the top executive ranks.
So there's this new working paper out of Harvard Business School and INSEAD, and it basically looked at thousands of startups, basically the startups either self-identified as AI or didn't.
And when you compared those groups,
You found that the AI startups had 15% fewer entry-level employees, 15% fewer managers, and they had a higher proportion of engineers on staff than the non-AI companies.
And that was a really interesting finding to me.
Showing 1–20 of 27 · page 1 of 2
Next →