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Clip Feb 12, 2026 2:55 6.1K views

The Next Phase of AI: Strategic Reasoning for Leaders

About This Episode

🔗 Watch the full episode: https://youtu.be/iwKIspzanZs

In this episode of the AI Agents Podcast, we sit down with Jason Ambrose, CEO of People.ai, to explore how AI is evolving from simple automation tools to powerful strategic partners for organizations at every level.

In this video, you’ll learn:
- How AI is moving beyond basic task automation
- Why “experimentation” is giving way to practical, results-driven use cases
- The growing role of AI agents in reducing low-level workload
- What organizations need to unlock AI’s full strategic value

As AI models improve and organizations become more proficient in using them, the real opportunity lies in turning insights into action—faster, smarter, and with less risk.

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Transcript

What do you think kind of the future is in in your specific industry and what you're trying to solve for with the capabilities of that improving and and where do you think it sits now uh maybe relative to where people would hope it is? >> Yeah. I think the biggest thing is as you said is they're as they're coming out of this experimentation journey they're they're learning the hey they can't do everything right we're getting through that uh what what exactly should it do and what is it good at and therefore what is the need for having some of these answers I I think our aspiration is at all levels of the organization they're getting quicker and faster action uh answers that are moving them into to actions that help them derisk and achieve better success. So um the agents will take a lot more

of this low-level activity off the plates as you get lower in the organization. So Matt, the CEO at Red Hat talked about like this is what they're experiencing as he's planning automation gets down at the you know sort of individual contributor level and they're seeing a lot of benefit there. But bringing reasoning in and chain of thought models becomes a lot more important higher in the organization because they're dealing with bigger and more abstract questions. So what those models need is the proper context to be able to reason through the questions they're being asked, right? So we want to sort of take AI up from the let's write and send emails from you to the what's my plan for the year at a CEO or CRO level and what are the major risks that we need to address in doing that and so that endtoend

architecture moves from automation at at the lowest levels which is still important and impactful to uh deeper strategic reasoning type questions and as these chain of thought models improve and as people get proficient with it that experience for executives and the kinds of questions and productivity that AI is generating will be higher level essentially. >> H yeah know that that that makes a lot of sense. It's it's interesting. Every different uh founder I or sorry, not founder, every different CEO person that's was running companies like these has um a unique perspective on where things are kind of at, especially with how their customers perceive um yeah, >> where things are at. And trying to bridge that knowledge gap between what is possible um in AI with their expectations and what you can provide is always an interesting uh little battle I feel like that you're

fighting as a company like this.