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

How can we increase adoption and leverage this massively powerful and expensive technology to deliver actual productivity gains?

So the big takeaway from today's episode is that adoption is more difficult than anthropic and your employer ever imagined.

There are specific approaches that we know work.

So let's dive into those.

As part of creating reports for AI leadership with my business, AI Value Acceleration, I've spent the last six months researching what's happening in the world's leading AI-powered organizations, as well as in mid-sized businesses.

And we tend to assume that big companies are further ahead, but honestly, a lot of them are not.

And here's the reality that almost every business is facing.

AI adoption is uneven.

There are a handful of people who are seeing 10x or even 20x gains, but most are only just starting to see some movement.

And there's still a significant portion of the workforce that is drowning in forced change.

They're just trying to keep up with tools and mandates that they don't feel equipped to handle.

And part of why this is so hard is that AI isn't just a tool.

It's more like being forced to work with an entire new workforce.

So you need to train them, give them structure, know how to fix when something breaks, and be able to recognize when they are delivering you junk.

And that's a real and demanding new skill set.

And it lands on top of every other responsibility you're already carrying.

And most organizations have seriously underestimated that burden and under budgeted for it.

From what I've been seeing, there are things that actually work and they're not complicated, but they're often not happening consistently enough.

So the organizations making real progress are inspiring their teams rather than just mandating AI use.

Their leaders are leading by example, not just endorsing AI and in all hands, but using it openly, sharing their actual workflows, what those look like.

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