Matthew Bidwell

speaker

453 appearances 4 recordings 1 series first heard Mar 2026 last heard 7 May

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

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recordings per month · last 12 months

Recordings per month over the last 12 months — 4 in all, peaking in Apr 2026 with 2.

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Where AI Works: Conversations at the Intersection of AI and Industry · From PRDs to Prototypes: How AI Is Reinventing Product Development · 23 Apr 2026 podcast

It sounds like a great place to work.

I think that's about all we have time for, but I just wanna spend a moment to really thank you for um what's been a fascinating conversation.

I really appreciate all your insights.

Thank you, Paul.

So I don't know what you took away from our conversation, but here are a few thoughts that are going through my mind.

We're seeing very clearly the way that AI is enabling organizations to create substantial new value in certain areas.

I think, for example, these ideas of reducing time to market, of being able to put together new products way faster than we ever could, is becoming a reality.

I think beyond that, it's this idea that it's not just slotting in for people, it's changing.

the entire way that we do things.

And so the story which I'm hearing again and again of this kind of rapid prototyping.

That we no longer create specification decks and those sorts of things.

Instead, we just create a prototype product and use that as the basis for building new things.

That's fascinating, I think, not just because it tells us about what we can do, but because it tells us we need to completely rethink how we go about certain processes.

We need to rethink what work looks like and what kind of team projects.

And so on look like in different areas.

I love this idea of going AI first, of building the muscle that just like I think a lot of us have had to force ourselves to use AI to figure out what it can do and what it can't do, even when initially it's not doing that good a job, the within organizations there is a learning curve that you need to invest in getting the whole team to do things by AI so we can figure out where the true opportunity.

And then the final piece, just a reminder yet again, this technology is far from fully baked.

It still comes up with the wrong things from time to time.

There are ways to get around this.

So the multiple layers, the having agents check one another, is a very nice start.

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