The Deep View: Conversations

Perplexity has become one of the most important AI companies in the world, but its ambitions now stretch far beyond AI-powered search.In this episode of The Deep View Conversations, we sit down with Dmitry Shevelenko, chief business officer at Perplexity, to discuss how the company evolved from an AI answer engine into a platform for AI agents and digital coworkers. Dmitry explains why Perplexity has focused so intensely on accuracy, how AI is changing the nature of work, and why he believes the future belongs to small, highly leveraged teams.The conversation also explores Perplexity Computer, hybrid compute, the coming shift toward AI agents, and what leaders need to do to stay relevant in a world where AI increasingly performs knowledge work.Topics covered:• Why Perplexity made accuracy its defining principle• How Perplexity grew from 20 employees to 400• The rise of AI agents and digital coworkers• Why Perplexity abandoned advertising as a core strategy• How Perplexity Computer orchestrates multiple AI models• The future of hybrid cloud and local AI computing• Why "tokenmaxxing" may not be sustainable• How AI is reshaping entry-level jobs• Why entrepreneurship may become the new career path• The three skills that will matter most in the AI era• How leaders should think about leverage and productivity• What Perplexity sees coming next in AIIf you're trying to understand where AI agents are headed, how work is changing, and why Perplexity has emerged as one of the AI industry's key players, this is a conversation you won't want to miss.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

AI agents in business aren't something that will happen in the future. They’re already here, and they're scaling a lot more rapidly than we expected.In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner talks to Matt Yanchyshyn, who leads AWS Marketplace at Amazon Web Services. Yanchyshyn's team helps organizations discover, buy, and deploy software on AWS, and one of the biggest shifts they’ve seen over the past six months is the explosion of AI agents in real-world use cases.When AWS unveiled its agent marketplace in mid-2025, the internal goal was initially to launch with 50 agents. By early 2026, that number had surged past 2,600 agents, making it the fastest-growing category in the history of the world’s largest cloud platform.So what’s driving that surge? Yanchyshyn breaks it down.In this conversation, we cover:+ Which types of AI agents are seeing the fastest enterprise adoption+ The industries and use cases leading the charge+ How companies are handling data security and sovereignty concerns+ The role of multi-model orchestration in agent effectiveness+ How AWS is using agents internally to drive lots of different winsIf you're trying to understand where AI agents are actually being deployed — not the hype, but the reality — then this conversation will reset your expectations. It will help you see where agentic AI is already delivering business value, and where it’s heading next.Subscribe to The Deep View: Conversations in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe here on YouTube.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.comThank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview

How do you make AI inference affordable enough to deliver real ROI in the enterprise? In this episode of The Deep View Conversations, we talk with Rob May, founder and CEO of Neurometric AI, to break down one of the most urgent challenges in AI today: the soaring cost of inference, and how to bring it down without sacrificing performance. Today's AI is increasingly powerful, but it’s also expensive. For enterprises to see real returns, inference costs have to drop dramatically. Neurometric believes the answer lies in "thinking algorithms" paired with small, specialized models and workload-specific optimization. This approach can significantly reduce costs while often improving accuracy and efficiency. Rob walks through how this works in practice and why it matters as AI moves from experimentation to scaled deployment. We also talk about:+ Why the current AI boom pulled Rob back into operating a startup after multiple exits and a move into investing + How founders should think about AI infrastructure, efficiency, and long-term economics + What startup leaders can do to get journalists to pay attention — and a pivotal early-career conversation that led to coverage which changed the trajectory of one of Rob’s companies If you’re building, deploying, or investing in AI and wrestling with the economics of inference, this conversation offers a clear, practical perspective on what comes next. Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI. And don't miss The Deep View daily newsletter. We don’t just cover AI — we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/