Show Notes
Generative AI is creating pressure across every line of business to move faster, scale smarter, and prove ROI — but where do you actually start?
In this episode, Insight CMO Hilary Kerner shares how her team is identifying real use cases, building trust in the tools, and empowering employees to lead the transformation from within. We cover what's working (and what's not), where leaders are getting stuck, and how to think beyond content generation to find value in unexpected places. Whether you lead marketing, IT, or operations, this episode offers a practical lens on AI adoption that goes deeper than the hype.
More from Insight On
Frontier AI labs have disclosed something security leaders need to pay attention to: Their models are escaping test environments and reaching real companies — without anyone directing them to. For security leaders, these are alarm bells for where the AI-powered threat landscape is heading.
More than two years ago, Insight made a bold call: give every one of our 14,000 teammates access to AI tools and tell them to use it everywhere. This episode is the full story of what that journey built, broke, and taught us — the 90% adoption rate, the 8,500 agents, the 49,000 hours of meetings summarized in a single month, and the things our CTO Mark Hughes would do differently if we started over.
As AI labs shift to usage-based consumption pricing, the math on per-seat licensing is getting harder to defend.
AI token costs just changed — and the invoice is the least of your problems. Juan Orlandini, CTO of North America at Insight, breaks down what metered AI pricing is actually exposing about the structural assumptions your organization made when tokens were cheap or free.
AI is reshaping entry-level work fast — and the generation walking into your workforce has already formed opinions about how you're handling it. Four college interns share what they actually think about AI, career development, and the skills that matter most when the task layer disappears.