Enterprises are racing to bring AI into their workflows, but most efforts stall in the pilot stage or get lost in measurement debates. In this episode of Pure Signal, hear what it really takes for organizations to move from experimentation to impact.

Today’s conversation brings together Kevin Erickson, Jake Carter, and Ryan Medellin as they explore how AI is reshaping productivity, why traditional planning cycles are under pressure, and what leaders must do differently to unlock sustainable value. Is faster velocity the real win, or is it a distraction? And how should executives measure progress when the benchmarks themselves are shifting?

From the rise of tiger teams and distributed adoption to the importance of data readiness and new talent skills, the discussion surfaces the levers that actually drive enterprise change. You’ll hear why use cases matter more than proofs of concept, how AI is altering the role of annual planning, and what emerging professionals should focus on to thrive in an AI-native workplace.

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Quotes

"You need a number of different elements if you're going to get a company to actually change how they're working with AI. One we already alluded to is the field-level workers who are changing the way they're working already. You’ve got to get the tools in the hands of your people.” – Jake Carter

"Cloud computing increased velocity by 4x. You could do more, but you still just took that extra 4x and put it into more backlog. I don’t know if that plays out the same way in AI, because I think it’s going to require departments thinking together or projects getting done differently” – Kevin Erickson

“When AI started becoming a thing, it was almost like you were hiding at first that maybe you were using AI to help velocity because you weren't sure how it would be received from up or below. Now, it seems like it’s almost an opportunity to display what you're doing to help make you more efficient.” – Ryan Medellin

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Time Stamps

00:00 Intro

01:00 Where is the future of work going to be?

07:45 Adapting your workforce to AI

13:00 Work smarter, not harder

18:55 What it really takes to change at scale

25:00 Where this technology impacts the next generation

27:10 New business expectations

32:00 Advice for supercharging the emerging workforce

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Links 

Connect with the hosts on LinkedIn!

• Kevin Erickson

• Jake Carter

• Ryan Medellin

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