Oct 22, 2026 · 34 min · 10 segments
Companies are pouring money into AI, so why are so few seeing a return? Recorded live at UNLEASH World in Paris, Josh sits down with Pluralsight CEO Erin Gajdalo to explore the widening gap between…
Josh BirkheadHost
Last week in your presentation to our customers, you anchored on a finding from Deloitte, which is fascinating.
Of every dollar organizations spend on AI, 93 cents goes to the technology itself, the platforms, the compute, the infrastructure, and only seven cents goes to the people who are supposed to use it.
It's so significant because it's the people that are actually going to change how we operate and change our ways of working.
And it's the people who need to be empowered to use those tools and know how to use them.
And with the shelf life of skills being less than two years, without upskilling, you can give people technology all day and you're not gonna get to where you want to be.
And so that's why I'm hopeful that that pendulum we talked about before is gonna swing back the other way.
And what we're starting to see is organizations have been investing so much in AI and they're starting to see that token spend increase and they don't know what that means.
At the same time, they're not getting what they need out of the projects that are being delivered.
And the only answer to either one of those is upskilling education and empowering people to use these technologies to understand them and know how to put them to work to achieve whatever solution and outcome that organizations are trying to achieve.
And mainly because we continue to see organizations that are investing and they're not prioritizing the learning and the skills.
And so if you roll out a bunch of AI tools, you're essentially just giving people the capability to chat.
And, you know, without the training, what else are you going to do with the chat? Right.
Last week in your presentation to our customers, you anchored on a finding from Deloitte, which is fascinating.
Of every dollar organizations spend on AI, 93 cents goes to the technology itself, the platforms, the compute, the infrastructure, and only seven cents goes to the people who are supposed to use it.
It's so significant because it's the people that are actually going to change how we operate and change our ways of working.
And it's the people who need to be empowered to use those tools and know how to use them.
And with the shelf life of skills being less than two years, without upskilling, you can give people technology all day and you're not gonna get to where you want to be.
And so that's why I'm hopeful that that pendulum we talked about before is gonna swing back the other way.
And what we're starting to see is organizations have been investing so much in AI and they're starting to see that token spend increase and they don't know what that means.
At the same time, they're not getting what they need out of the projects that are being delivered.
And the only answer to either one of those is upskilling education and empowering people to use these technologies to understand them and know how to put them to work to achieve whatever solution and outcome that organizations are trying to achieve.
And mainly because we continue to see organizations that are investing and they're not prioritizing the learning and the skills.
And so if you roll out a bunch of AI tools, you're essentially just giving people the capability to chat.
And, you know, without the training, what else are you going to do with the chat? Right.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.