Rephonic
Artwork for Eye On A.I.

Eye On A.I.

Craig S. Smith
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Oracle Cloud Infrastructure
Agentic AI
Openai
Multi-Agent Systems
Cloud Computing
Google Cloud
Unstructured Data
Biotechnology
Natural Language Processing
Drones
Software Development
Consciousness
Deep Learning
Customer Service
AI Customer Support
AI Agents

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.

PublishesDailyEpisodes381Founded8 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Eye On A.I.

Latest Episodes

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 who built i... more

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. Tim Sanders... more

YouTube

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 to discove... more

YouTube

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 engineering budg... more

YouTube

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Recent Guests

Trent Telford
CEO of Qanapi (Quantum API)
Qanapi
Episode: The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
Alex Whedon
Co-founder and CTO at SubQuadratic
SubQuadratic
Episode: 86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
Marko Kushnir
Director of Communications, General Cherry
General Cherry
Episode: From 10 Drones a Month to Nearly 100,000 — Inside Ukraine's Largest Drone Manufacturer | Marko Kushnir, General Cherry
Eric Schmidt
Technology executive and AI/defense advisor
Former Google CEO; Schmidt Futures
Episode: In 5 to 10 Years, Using Weapons Without AI Will Be Considered Unethical | Yaroslav Azhnyuk, The Fourth Law
Alexander Palamarchuk
Drone engineer, Azov Corps R&D unit
Azov Battalion / Ukrainian National Guard
Episode: Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk
Manoj Saxena
CEO and founder of TrustWise
TrustWise
Episode: 95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise
Mike LeBlanc
Founder and CEO, Foundation Future Industries
Foundation Future Industries
Episode: From Zero to 150 Robots in Just 20 Months | Mike LeBlanc, Foundation Future Industries
Drew Cukor
Executive at TWG AI, former Marine intelligence officer, led AI transformation efforts in finance and defense
TWG AI
Episode: American Companies Have 36 Months to Go AI-Native or Get Left Behind | Drew Cukor, TWG AI
Paolo Ardoino
CTO of Tether, discussing QVAC and edge AI strategy
Tether
Episode: In 5 Years, 90% of What You Use AI For Will Run on Your Smartphone | Paolo Ardoino, Tether

Host

Craig S. Smith
Host with long-time experience covering AI; associated with a major national publication.

Reviews

4.8 out of 5 stars from 315 ratings
  • Ahead of the curve

    After each podcast I feel well informed. More than just surface level highlighting of latest developments, it presents case studies on how to think about AI.

    Apple Podcasts
    5
    987362847
    United States7 months ago
  • Featuring insightful conversations

    An insightful podcast that makes complex AI topics accessible and easy to understand. It is a a great listen for anyone interested in the future of technology.

    Apple Podcasts
    5
    SM405
    United States2 years ago
  • Fantastic podcast…

    Review: bamdiggity!

    Apple Podcasts
    5
    Info_Sprinkles
    United States3 years ago
  • Game-Changing! Redefining the AI Landscape

    Craig's guests are seriously rocking the tech scene, flipping the script on what it means to be a techie in this AI-dominated industry! Packed with all the classic elements that make an AI show absolutely informative, plus that extra dash of authenticity and insight you won't get anywhere else. Big shoutout to you, Craig—your show is absolutely fantastic, keep up the awesome work! 🚀

    Apple Podcasts
    5
    Linda__Lee_
    Philippines3 years ago
  • Well researched, great quality guests and calm, level headed interviewing

    Just what I was looking for.

    Apple Podcasts
    5
    josepcpea
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Insightful discussions that break down AI topics for practical use.
Some episodes show strong editing and pacing, though occasional audio cuts can be distracting.
High-quality conversations with industry leaders and accurate, grounded analysis.
Great guests and balanced, thoughtful interviewing that adds depth beyond buzzwords.
Consistently informative, with a clear throughline on AI's global impact.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#218
United States/Technology
Apple Podcasts
#157
United Kingdom/Technology
Apple Podcasts
#126
Israel/Technology
Apple Podcasts
#191
Belgium/Technology
Apple Podcasts
#212
Colombia/Technology
Apple Podcasts
#222
Norway/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
Q: What are the practical market and deployment realities for large enterprises trying to adopt this technology?
Adoption is growing rapidly as enterprises seek to balance AI benefits with security; the model is consumption-based and platform-agnostic, integrating with existing identity providers and supporting on-prem or edge deployments. Big enterprises need scalable deployment strategies, including integration with NVIDIA devices for edge AI, and careful consideration of post-quantum timing and legacy system uplift.
The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
Q: How does the system handle encryption within AI workflows and ensure provenance when data is shared with different models or agents?
Data is encrypted at the field level and has identity-associated keys managed via the gateway. Provenance is ensured through positive provenance (data origin verified and hashed) and negative provenance (prevents sensitive data from reaching public LLMs). This allows multiple agents to access only the data they're authorized to use, and always under policy controls, with decryption occurring client-side or in trusted gateways.
The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
Q: Let's start by asking what the core idea behind your approach is and how it differs from traditional wall-and-door cybersecurity models.
The core idea is to assume data will be exposed and protect it at the granular level by encrypting individual data elements and tying each encryption key to a verified identity and policy. This creates a data-centric security model that works across data at rest, in transit, and in use, without relying on perimeter walls. It also enables selective decryption in trusted environments, ensuring only authorized entities can access the right subset of data.
Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk
Q: Do you worry about a future where adversaries deploy massive numbers of autonomous drones that could overwhelm defenses?
Yes, the risk grows as more units adopt autonomous capabilities; if navigation and target recognition reach high reliability, large-scale swarms could pose significant challenges, though keeping safeguards and explicit civilian protections remains a priority for both sides.
Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk
Q: What are the practical limits of autonomy today, and how close are we to fully autonomous drones on the battlefield?
Drones can operate autonomously in certain stages like takeoff, navigation, and basic mission execution, but operator oversight remains essential for identifying legitimate targets and avoiding civilian harm; fully autonomous, universally reliable targeting is not yet achievable and remains contested.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Eye On A.I.

What is Eye On A.I. about and what kind of topics does it cover?

A tech-focused, globally minded AI podcast that hosts thoughtful conversations with leading practitioners, researchers, and executives shaping artificial intelligence today. Episodes often center on practical AI applications, infrastructure, governance, and the broader societal implications of rapid AI progress, with a mix of hardware, software, and policy angles. Noteworthy is the ability to connect high-level trends to concrete case studies, while maintaining accessible explanations for listeners ranging from students to industry professionals. The show tends to feature prominent voices from major tech firms, academia, and startups, offering strategic insights for those evaluating AI adoption, investment, or sponsorship opportunities.

Where can I find podcast stats for Eye On A.I.?

Rephonic provides a wide range of podcast stats for Eye On A.I.. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Eye On A.I. and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Eye On A.I. get?

Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for Eye On A.I., including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Eye On A.I.?

Rephonic provides comprehensive predictive audience data for Eye On A.I., including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Eye On A.I. have?

To see how many followers or subscribers Eye On A.I. has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

How many episodes of Eye On A.I. are there?

Eye On A.I. launched 8 years ago and published 381 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Eye On A.I.?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Eye On A.I.?

Rephonic pulls ratings and reviews for Eye On A.I. from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Eye On A.I.?

Rephonic provides full transcripts for episodes of Eye On A.I.. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Eye On A.I.?

Recent guests on Eye On A.I. include:

1. Trent Telford
2. Alex Whedon
3. Marko Kushnir
4. Eric Schmidt
5. Alexander Palamarchuk
6. Manoj Saxena
7. Mike LeBlanc
8. Drew Cukor

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days