Arpy Dragffy Guerrero

speaker

627 appearances 7 recordings 1 series first heard May 2026 last heard 6 Aug

Arpy Dragffy Guerrero’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 — 7 in all, peaking in Jun 2026 with 3.

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Product Impact Podcast | Secrets to unlocking the value of AI · 14: AI Adoption is the Problem Everyone is Desperate to Solve — Dr. Molly Sands, Atlassian · 16 Jun 2026 podcast

They're being transparent about where they're failing.

And they're building cultures where experimentation is genuinely encouraged.

It's not just a buzzword.

So this is where you can struggle out loud, where you are documenting your successes, but you're documenting failures for people to learn from.

And you're building a shared knowledge base so that that learning compounds instead of disappearing when someone just walks out of the room.

And they're honest about where they actually are in that AI journey.

And that honesty can create permission for everyone else to stop pretending that they have it figured out for fear of what they'll look like.

Where everyone is still struggling is harder to say clearly, but it is super important to talk about.

One thing that you're going to start seeing a lot more is this idea of learning to work with context.

This is a huge shift that's coming.

And by context, I mean the background that you give your AI system so that it can actually do useful work.

And this is what the task is, what we already know, what's not worked in the past, what a good output looks like, what the constraints are.

So most people have never had to think that explicitly about their own work before.

And I can tell you, it does not come naturally.

And the incentives are either non-existent or they're fear-based.

Like people are adopting AI because they're afraid of falling behind or they're afraid of being called out, not because there's a real reward for doing it well.

And that's a terrible foundation for lasting habits.

And adoption itself is just a poor measure of value creation.

You can hit high adoption numbers and have almost nothing to show for it at a business level.

Most organizations don't have a better metric, so they keep measuring the wrong thing.

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