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Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
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AI Agents Will Take 50% of Your Traffic — Is Your Data Ready? | Jeff Lunsford, CEO of Tealium
20% of enterprise website traffic is already coming from AI agents rather than humans, and that traffic converts at 38% more revenue per session than human visits. Within a year, Jeff Lunsford expects that number to reach 50%. Jeff, CEO of
How Zip's AI Superagents Automate Procurement End-to-End | Rujul Zaparde
Every business in the world has to procure things, and for most of them, that process is slow, manual, and full of money left on the table. Rujul Zaparde, co-founder of Zip, joins Craig to explain how his company is using AI Superagents to
Is This the Cheapest Way to Use AI in 2026? (65+ Models Tested) | Iskander Malikov, Trioma
What if you didn't have to choose between ChatGPT, Claude, and Gemini, and instead, the platform chose for you? That's the core idea behind Trioma, a vertically integrated AI ecosystem built by Iskander and his team in the UAE. Craig Smith
Chat GPT's Creator Explains The Shocking Truth About How AI Understands the World | Ilya Sutskever
Craig Smith sits down with Ilya Sutskever - Co-Founder and Chief Scientist at Safe Superintelligence Inc. & former chief scientist at OpenAI and one of the primary minds behind GPT-3, GPT-4, and the deep learning revolution that preceded it
The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front
Everyone assumes AI in customer operations means fewer people and lower costs. The data from 700 customer operations leaders is more complicated, and more honest. Dan O'Connell, CEO of Front, joins Craig Smith with findings from a survey of
Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk
Ukraine tracks every confirmed drone kill with video evidence, deduplicates the data to prevent double-counting, converts verified strikes into e-points, and delivers newly ordered weapons to frontline units in two weeks instead of twelve m
Why Current AI Cannot Be Conscious | Dr. Christof Koch
One in four patients currently being considered for life support withdrawal may actually be fully conscious, they just can't signal it. That single finding, from a landmark New England Journal of Medicine study, is the practical stakes behi
The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics
The AI systems guiding Ukrainian combat drones aren't running on expensive Nvidia chips. They're running on a Raspberry Pi Zero - a $15 hobby computer - and that single detail tells you more about how Ukraine's drone war is actually being f
Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group
The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agricultural quadcopter frame, and the man w
The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2
Most companies investing in AI visibility are optimizing for the wrong thing. Being cited by an AI response and being recommended by an AI response are completely different outcomes, with click-through rates that differ by a factor of 70. T
The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
Every major data breach in the last 30 years shares the same root cause: the data inside the wall was never protected, only the wall. And AI frontier models are now making that wall easier to breach than ever, scanning codebases externally
86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
Every AI model in production today has the same hidden tax: doubling the context window quadruples the compute. That's what quadratic compute complexity means in practice, and it's the reason enterprises are spending most of their AI engine
From 10 Drones a Month to Nearly 100,000 — Inside Ukraine's Largest Drone Manufacturer | Marko Kushnir, General Cherry
In 2023, General Cherry started making 10 drones a month. Today they're approaching 100,000. Marko Kushnir, communications director of one of Ukraine's top-five drone manufacturers, joins Craig Smith for one of the most operationally specif
In 5 to 10 Years, Using Weapons Without AI Will Be Considered Unethical | Yaroslav Azhnyuk, The Fourth Law
A Ukrainian entrepreneur who spent 14 years building cameras for pets pivoted to building cameras that down Shaheds, and is now building the autonomy software that could define how wars are fought for the next generation. Yaroslav Azhnyuk,
Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk
The most consequential arms race in the world right now isn't nuclear, it's software. Craig Smith speaks with Alexander Palamarchuk, an engineer in the R&D department of Ukraine's Azov Brigade, calling in from approximately 18 kilometers fr
95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise
It takes a few hours to build an AI agent. It takes six to seven months to get it into production. Manoj Saxena - the executive who commercialized IBM Watson - built TrustWise around one thesis: intelligence without control is not deployabl
From Zero to 150 Robots in Just 20 Months | Mike LeBlanc, Foundation Future Industries
Most humanoid robot companies are still running curated demos in replica environments. Foundation Future Industries is running 150 robots on real automotive production lines in Georgia, and heading to Ukraine this year to deploy on the batt
Why People Are Paying 10x More for AI - and What That Means for the Chip Market | Sid Sheth, d-Matrix
The AI chip market looks monolithic from the outside - NVIDIA dominates, and everyone else is fighting for scraps. But d-Matrix's CEO Sid Sheth argues that the market is quietly splitting into two distinct tiers, and the one that's explodin
American Companies Have 36 Months to Go AI-Native or Get Left Behind | Drew Cukor, TWG AI
The same tools that slowed the U.S. military down in Afghanistan (PowerPoint, Excel, email, and Word) are now slowing American businesses down in the AI race. Drew Cukor spent 30 years as a Marine intelligence officer, helped build Project
In 5 Years, 90% of What You Use AI For Will Run on Your Smartphone | Paolo Ardoino, Tether
Hundreds of billions of dollars are flowing into AI data centers right now, and Paolo Ardoino, CEO of Tether - the company behind the world's most widely used stablecoin with 573 million users - thinks that investment is going to age very b
AI Agents Fixing Your IT Before You Even Know Something Broke | Erhan Giral & Ryan Manning, BMC Helix
Most enterprise IT teams spend the majority of their time fighting the same fires repeatedly. BMC Helix is building the AI system that handles those fires automatically, detecting anomalies, tracing root cause through millions of asset rela
Real AI Transformation Costs HALF of Everyone's Salary for 2 Years | Chris Blackburn, Liatrio
Most companies think they're transforming with AI. They're not, and the gap between what they believe and what's actually happening on the ground is costing them far more than they realize. In this episode, Craig Smith sits down with Chris
"According to NASA's Definition of Life, I'm Not Alive" - Why Nobody Can Define Life | Dr. Kate Adamala
Nobody has ever built a cell from scratch - assembled entirely from purified molecules on a shelf - that can feed itself, grow, and split into daughter cells through its own genetic activity. Until now. Dr. Kate Adamala, a synthetic biologi
Video Is About to Stop Being One-Way (and That Changes Everything) | Victor Riparbelli, Synthesia
Every company is creating content that nobody reads, nobody watches, and nobody remembers, and the CEO of the AI platform that 90% of Fortune 100 companies use to fix that just explained what comes next. In this episode, Craig Smith sits do
6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana
Companies are spending billions building AI factories, but most of them can't tell you why their AI workloads are failing, whether their GPUs are actually being used, or what their infrastructure is going to cost them when agents start runn
Inside the Enterprise Browser Rebuilding Security for the AI Era | Bradon Rogers, Island
AI is moving faster than enterprise security systems were designed to handle. In this episode of Eye on A.I., Craig Smith speaks with Bradon Rogers, Chief Customer Officer at Island, Island about how companies are struggling to govern the r
What Industrial AI Actually Looks Like | Kriti Sharma, Nexus Black
Most AI is built for people sitting at desks. Kriti Sharma builds it for the people who work in refineries, aircraft hangars, and utility networks responding to wildfires at 4 a.m. and she spends weekends on-site with them to make sure what
The Biggest AI Security Problem Isn't the Model. It's This. | Devvret Rishi
What is an AI agent, really? Strip away the hype, and it's a model with access - to tools, APIs, databases, email, anything that lets it take real action instead of just generating text. That access is exactly where the risk lives, and Devv
Big Pharma Fails 50% of the Time in Phase Three. AI Can Fix That | Vin Singh, BullFrog AI
It costs up to $2 billion and fifteen years to develop a drug, and big pharma still fails half the time at the final stage. BullFrog AI founder, Chairman, and CEO Vin Singh joins Craig Smith with a clear diagnosis of why: the industry keeps
AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo
After two years of AI pilots, enterprises are finally diagnosing what went wrong, and the answer keeps coming back to data. Alberto Pan, CTO of Denodo, joins Craig Smith to walk through the findings of the company's AI Trust Gap Report: a s
