The Deep View: Conversations

This is a special episode of The Deep View Conversations podcast, recorded at Google I/O on Tuesday, May 19, 2026. 

AI smart glasses have quietly built momentum over the past several years, promising to put artificial intelligence directly in your line of sight. Now, Google has shown us the final product of its first AI glasses, which appear to have a clear competitive edge. 

Juston Payne, Google's director of product management for XR, joins The Deep View Conversations straight from Google I/O, where the company pulled the curtain back and gave the world a first look at two of the pairs that will lead the collection when they launch in the fall: a pair from Gentle Monster and one from Warby Parker. 

Juston discusses how the AI smartglasses came to be, including the collaboration between Samsung, Google, Warby Parker, and Gentle Monster. In addition to discussing details of the new launch, including design, product choices, functionality, the roadmap, and more, Juston also sheds light on the broader AI glasses market and why people should give them a shot. 

Topics covered:

+ The thought put into the aesthetics and comfort of smart glasses

+ What products will be available for users to purchase at launch

+ How the glasses act as an equivalent of a touchscreen on a phone for interacting with Gemini

+ The computation offloading strategy that leverages the user’s smartphone 

+ The choice to first launch with an audio-only product rather than in-lens displays

+ How Google is approaching privacy concerns with the cameras on the glasses

+ Real-world use cases for AI smart glasses 

If you want to understand how AI glasses are reshaping the way people connect, this conversation will leave you much more knowledgeable about Google's strategy. 

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 

In this episode of The Deep View Conversations, we sit down with Robert Brooks IV, chief commercial officer at Lambda, to talk about the massive AI infrastructure buildout now underway.

Lambda’s mission is to build supercomputers for superintelligence. But Brooks argues that the story is bigger than GPUs, data centers, and rising demand. It is about why compute is becoming one of the most strategically important resources in the AI economy, and why Lambda believes compute is not a commodity.

The conversation goes deep on Lambda’s vision for democratizing AI, why the company invests in research, and how its experience building physical infrastructure shapes what it can offer AI labs, hyperscalers, enterprises, and researchers.

Topics covered include:

+ Why Lambda thinks “one GPU per person” is achievable

+ The hidden complexity behind modern AI data centers

+ Why compute demand keeps surprising the industry

+ His $40,000 robot experiment and what it taught him about the future of work

+ How AI is changing the way leaders spend their time

If you want to better understand the physical and economic foundations powering the AI boom, this conversation is worth your time.

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

Android’s latest AI update is less about flashy demos and more about solving everyday problems.

In this special episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Mindy Brooks, VP of Product Management for Google Android, for an exclusive interview on Gemini Intelligence for Android.

Brooks explains why Google is focusing its Android AI strategy on saving users small amounts of time across daily tasks. The conversation explores how Android is evolving from an operating system into a more personalized, context-aware "intelligence system" powered by Gemini.

Topics covered include:

+ Rambler for Gboard, Google’s new AI-powered voice dictation system to rival Wispr Flow

+ The expansion of Task Automation across more apps

+ How Create My Widget uses AI to generate custom widgets on demand

+ How Intelligent Autofill is powered by Gemini's Personal Intelligence

+ The Android AI feature Brooks personally uses the most

If you want to understand where mobile AI is headed next, and why Google believes utility matters more than spectacle, this conversation breaks it down.

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

What happens when AI moves from cloud-only to running everywhere, including on your laptop, your phone, and other devices around you?

In this episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Olena Zhu, who leads AI for the client computing group at Intel, to explore one of the biggest shifts underway in AI: the move toward accessible, affordable, and privacy-first AI systems.

Zhu explains why the economics and infrastructure demands of cloud-only AI may not scale indefinitely, and why on-device AI could become a critical part of the industry's future. She also reflects on the evolution from traditional AI systems to LLMs and now to agentic AI, and why this wave feels fundamentally different from the hype cycles that came before it.

The conversation also dives into how AI is changing the way people work, learn, and experiment, including the surprising mindset Zhu believes helps people get the most value from AI tools today.

Topics covered include:

+ Why cloud-only AI has limits

+ The future of on-device and edge AI

+ AI affordability, energy use, and data sovereignty

+ How agentic AI changed Zhu’s workflow

+ Why experimentation matters more than expertise

+ Intel’s vision for privacy-first AI systems

+ The hidden infrastructure challenge behind AI growth

+ Why AI adoption may depend on trust and accessibility

If you're concerned about the affordability, accessibility, and privacy of AI, you don't want to miss this episode.

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

In this episode of The Deep View Conversations, we sit down with Alex Rinke, co-founder and co-CEO of Celonis, to unpack one of the most overlooked truths in enterprise AI.

Rinke and his co-founders started Celonis 15 years ago in Munich with just $15,000. What followed was a grind, including thousands of handwritten letters to land early customers, and a steady evolution from process simulation to what is now known as process intelligence.

Today, Celonis works with roughly half of the world’s 200 largest companies. Its platform acts like an MRI for the enterprise, creating a digital twin of how work actually happens across fragmented systems.

Rinke’s core argument is simple and provocative: there is no enterprise AI without process intelligence. Companies that deploy agents without understanding their underlying processes risk automating inefficiency at scale.

We also cover:

+ How Celonis re-engineered itself for the AI era

+ What the co-CEO model works like in practice and why it can be a competitive advantage

+ How hiring is changing inside AI-native companies

+ The tools Rinke uses to run his own workflow

If you want to understand where AI actually delivers results inside large organizations, don't sleep on this conversation.

Watch now and subscribe for more conversations at the frontier of AI.

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 

Analysts, marketers, and business owners face the same question: How do you reach audiences in an era when AI is reshaping how people search and find information they need? That’s a top-of-mind issue for Pat Brown, SVP of global marketing, growth, analytics, and platform at Adobe.

Brown joins The Deep View Conversations to share his unique perspective on the issue, with the expertise of someone who was doing marketing science before it was even called that, and who, in his current role, is responsible for global marketing execution across various forms of media and has to put these skills into practice every day.

Pat breaks down how AI is moving beyond content generation to reshape media workflows end-to-end, from audience measurement to agents that automate entire processes.

Topics covered:

+ The role of AI agents in automating marketing workflows

+ How AI in marketing can augment rather than replace creativity

+ AI-powered marketing tools that help analyze patterns and signals

+ Whether AI has “killed” SEO and what that means for marketers’ jobs

+ The rise of new terms like AEO and GEO in a “zero-click” search world

+ Why it’s still worth investing in marketing and brand strategy despite AI changes

+ Why today’s AI-driven SEO landscape feels like the early days of SEO

If you want to understand how AI is reshaping and helping individuals connect more effectively with audiences, this conversation will leave you feeling more knowledgeable about those topics.

Subscribe for weekly conversations with the leaders shaping the future of AI.

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

In this episode of Deep View Conversations, we sit down with Dave Horton, VP of Solutions Engineering at Airia, to explore one of the biggest tensions in enterprise AI today: how to move fast without losing control.

Airia is building a platform designed to plug AI into every corner of an organization while keeping data secure and systems governed. Dave breaks down why that balance is harder than it looks, and why many companies are underestimating the complexity of deploying AI agents at scale.

We also dig into the surge of interest in agentic AI in 2026, including a contrarian perspective on OpenClaw and the idea that agents will quickly replace human work. Dave argues that the real challenge is not capability, but coordination, and that success comes down to three pillars: security, governance, and orchestration.

Beyond the tech, Dave shares his journey building alongside the Airia founders, why funding is pouring into AI startups, and how the AI ecosystem is evolving across London, the UK, and Europe. He also reveals the AI tool that has most transformed the way he works.

If you want a grounded, real-world view of where enterprise AI is headed, and what it will actually take to make it work, this conversation delivers.

Watch, listen, and subscribe for more conversations at the frontier of AI.

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

What happens when AI agents outnumber humans in the enterprise? 

In this episode of The Deep View Conversations, Senior Reporter Sabrina Ortiz sits down with Jeetu Patel, President and Chief Product Officer at Cisco, to explore how the rise of AI agents is reshaping cybersecurity, software development, and enterprise strategy. 

Jeetu makes a bold prediction: today’s 150 million developers could expand to 3 billion agent builders within the next year. But that explosion comes with serious risk. As nation-states and bad actors deploy autonomous agents at scale, traditional, human-centered security models begin to break down. 

This conversation unpacks:
+ Why AI agents are becoming the new attack surface
+ What enterprises must do now to prepare for agent-driven threats
+ Jeetu’s journey from Box to Cisco, and what it taught him about leading through platform shifts
+ Practical advice for learning AI and building in an agent-first world 

But this isn't a doom-and-gloom conversation. Jeetu lays out a vision for how security can become an accelerator rather than a limiter, and why the distinction between giving agents access and giving them trusted, governed access will define which enterprises thrive in the agentic era. 

If AI agents are the next platform shift, cybersecurity may be the defining battleground. 

Watch the full conversation and subscribe for more interviews with the leaders shaping the future of AI. 

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 

What happens when a startup's mission perfectly aligns with the biggest trend in tech? That's exactly where Guild AI finds itself in 2026. 

James Everingham, CEO of Guild AI, joins The Deep View Conversations to talk about building a safety layer for AI agents. The product launched in fall 2025 and found itself at the center of the most important movement in enterprise AI just months later. 

In this conversation, James breaks down how Guild's platform deploys dozens of workflow-specific agents across different parts of a business, while giving developers the tools to iterate, spin up custom agents, and operate in a safe environment that tracks everything agents do and protects companies from unpredictable outcomes. 

Topics covered:
+ The enduring power of bottom-up innovation

+ How Guild AI's agent supervision platform works

+ Why safety infrastructure is the new competitive moat

+ Lessons from James' earlier career at Netscape and Meta

+ Open-source vs. proprietary models: how it plays out over the next few years

+ A standout leadership tip for sparking innovation on your team 

+ His best advice for getting maximum impact from today's AI tools. 

If you want to understand where AI agents are headed and what it takes to build them responsibly, this conversation is a powerful place to start. 

Subscribe for weekly conversations with the leaders shaping the future of AI.

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 

Snowflake has been a stalwart of the SaaS economy and a leader in enterprise data for the past decade. But the company is deep in the middle of a transformation that most people haven't recognized yet.

In this episode of The Deep View Conversations, senior reporter Nat Rubio-Licht talks with Baris Gultekin, vice president of AI at Snowflake, for a candid look at how the company is navigating the AI era and what it's learning in real time.

Gultekin talks openly about how the entire team inside Snowflake is now using coding tools to build skills and automate their work. That includes non-developers who are using Project SnowWork, an AI agent for professionals across all roles.

Baris joined Snowflake in 2023 through the acquisition of blockchain startup nxyz and has spent the past three years building and running the AI teams inside the enterprise tech giant. He also brings a rare perspective from his time working on Google Assistant in the pre-LLM era, which gives him a unique lens on how much has changed.

Topics covered:

+ Why there is no AI strategy without a data strategy, and what enterprises keep getting wrong

+ How agentic AI has shifted enterprise data from question-answering to automation

+ The SaaSpocalypse and why Snowflake sees AI as a tailwind rather than a threat

+ Cortex Code (CoCo), Snowflake's coding agent that lets customers query their data in plain language instead of SQL

+ The governance and security challenges that come with multi-agent systems

+ How Baris uses coding agents in his own life

If you want to understand how a mature SaaS company reinvents itself inside an AI revolution, this one is worth your time.

Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.

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