James Crowley

speaker

135 appearances 1 recordings 1 series first heard Mar 2026 last heard 26 Mar

James Crowley’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 — 1 in all, peaking in Mar 2026 with 1.

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Where AI Works: Conversations at the Intersection of AI and Industry · How AI is Reshaping Skills, Hiring, and Education · 26 Mar 2026 podcast

You know, one of the things we're now saying a lot is context is king in AI.

I think context will be king in skills.

I think that's how, you know, as an employee you need to think about it.

Wholeheartedly agree, Eric.

I also think to put some emphasis on your first point, this notion that individuals need to take accountability back to, you know, the learning and the pace of learning.

And almost at any point in time, you know, you should be able to identify what are the three to five new skills you're actively building and learning around.

And it's something we're going through right now at Accenture is thinking about how do we create the space for that with our employees, but also how do we, to your point, check it?

How do we reward it?

Those become critical questions.

Cause once it becomes part of the behavior and part of the reward system.

then it starts to get ingrained and that's when you get like this snowball effect and it really becomes a behavioral change versus kind of episodically and

kind of almost in a linear way and it's not it's not continuous and frankly it's not fast enough for the way the environment's changing.

The first premise of this analysis is that journey needs to be highly personalized and highly dependent on what you're being asked to do.

So I don't think there's one answer.

But in the context of technology work, one of the things we, you know, are talking a lot about is certain aspects of technology work, coding, testing, et cetera, AI has had a big impact on and will continue to have a big impact on.

But what that doesn't take away is it doesn't take away the need for our

architecture skills, how you're testing code against business requirements, how you're driving more business relevance into the technology and how you interface with the business.

The data, the semantic knowledge, that whole space is being transformed with AI and and we see a whole influx of skills and people need it in that.

So those would be some I would highlight.

And I would also say, I go back to something Eric said.

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