
"In Machines We Trust" is a captivating podcast that delves deep into the world of technology and innovation. Each episode explores a range of cutting-edge topics and current news, offering listeners insights into the rapidly evolving digital landscape. Our discussions focus on how these technological advancements impact society, economy, and our daily lives. Join us as we navigate the intricate a... more
| Publishes | Daily | Episodes | 299 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

In this episode, we explore OpenAI's groundbreaking acquisition of the Technology Business Programming Network (TBPN) and what it means for the future of tech media. We discuss the show's unique positioning, its ongoing independence under OpenAI, and... more
In this episode, we explore OpenAI's record-setting $121 billion funding round at an $852 billion valuation and discuss the implications of this massive investment. We also touch on Anthropic's recent setbacks and Huawei's competitive new AI chip ent... more
In this episode, we explore SoftBank's monumental $40 billion investment in OpenAI and what it signifies for the AI landscape. We also discuss the emergence of AI robots at the White House, Apple's strategy to integrate third-party AI into Siri, and ... more
Jamie & Jaeden explore Anthropic's rising popularity with Claude Cowork and other AI innovations, highlighting its financial success and user growth. They also discuss why Claude Cowork is becoming a preferred tool over traditional chatbots for autom... more
People also subscribe to these shows.





Love that there’s a short informative and up-to-date. You can always research more on the topic if you’re interested.
I have learned so much listening to this show. AI is so impressive I appreciate how the host breaks this all down.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #92 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
The show centers on practical AI and tech industry moves, with a strong emphasis on real-world tools, enterprise adoption, and the evolving role of autonomous agents and AI platforms. Episodes frequently dissect major company strategies, new AI infrastructures, security implications, and how developers and businesses can leverage emerging capabilities to improve workflows, product design, and performance. A notable strength is the host-driven synthesis of timely news with hands-on examples, live demonstrations, and occasional plug-for-purpose AI tooling, making complex topics approachable for technologists, product leaders, and builders who want actionable takeaways.
A standout trait is the consistent focus on tooling and ecosystem dynamic... more
Rephonic provides a wide range of podcast stats for In Machines we Trust. 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 In Machines we Trust and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for In Machines we Trust, 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.
Rephonic provides comprehensive predictive audience data for In Machines we Trust, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers In Machines we Trust 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.
These podcasts share a similar audience with In Machines we Trust:
1. WSJ Tech News Briefing
2. Bold Names
3. Dwarkesh Podcast
4. Practical AI
5. Hard Fork
In Machines we Trust launched 2 years ago and published 299 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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.
Rephonic pulls ratings and reviews for In Machines we Trust 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.
Rephonic provides full transcripts for episodes of In Machines we Trust. 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.
Recent guests on In Machines we Trust include:
1. Gavriel Cohen
2. Connor Grennan
3. Dario Amodeo
4. Kirby Winfield
5. Molly Alter
6. Alexander Von Tobel
7. Marcy Vu
8. Lone Jeff
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.