PodcastsRank #5412
Artwork for In Machines We Trust

In Machines We Trust

TechnologyPodcastsNewsTech NewsENunited-statesDaily or near-daily
4.3 / 5266 ratings
<p>Host Jennifer Strong thoughtfully examines the far-reaching impact of artificial intelligence on our daily lives. Produced by MIT Technology Review, the podcast explores the rise of AI through the voices of people reckoning with the power of the technology, and by taking listeners up close with the inventors and founders whose ambitions are fueling the development of new forms of AI.</p>
Top 10.8% by pitch volume (Rank #5412 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Daily or near-daily
Episodes
165
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: 40K–100K / month
Canonical: https://podpitch.com/podcasts/in-machines-we-trust
Cadence: Active weekly
Reply rate: Under 2%

Latest Episodes

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China figured out how to sell EVs. Now it has to deal with their aging batteries.

Wed Feb 04 2026

Listen

As early electric cars age out, hundreds of thousands of used batteries are flooding the market, fueling a gray recycling economy even as Beijing and big manufacturers scramble to build a more orderly system. This story was written by Caiwei Chen and narrated by Noa - newsoveraudio.com

Key Metrics

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Pitches sent
45
From PodPitch users
Rank
#5412
Top 10.8% by pitch volume (Rank #5412 of 50,000)
Average rating
4.3
From 266 ratings
Reviews
24
Written reviews (when available)
Publish cadence
Daily or near-daily
Active weekly
Episode count
165
Data updated
Feb 10, 2026
Social followers
4M

Public Snapshot

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Country
United States
Language
English
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Wed Feb 04 2026

Audience & Outreach (Public)

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Audience range
40K–100K / month
Public band
Reply rate band
Under 2%
Public band
Response time band
Private
Hidden on public pages
Replies received
Private
Hidden on public pages

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
4M
Contact available
Yes
Masked on public pages
Sponsors detected
Yes
Guest format
No

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Sponsor signals
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Sponsor mentionsLikely
Ad-read historyAvailable
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How To Pitch In Machines We Trust

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This show is Rank #5412 by pitch volume, with 45 pitches sent by PodPitch users.

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4.3 / 5266 ratings
Ratings266
Written reviews24

We summarize public review counts here; full review text aggregation is not shown on PodPitch yet.

Frequently Asked Questions About In Machines We Trust

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What is In Machines We Trust about?

<p>Host Jennifer Strong thoughtfully examines the far-reaching impact of artificial intelligence on our daily lives. Produced by MIT Technology Review, the podcast explores the rise of AI through the voices of people reckoning with the power of the technology, and by taking listeners up close with the inventors and founders whose ambitions are fueling the development of new forms of AI.</p>

How often does In Machines We Trust publish new episodes?

Daily or near-daily

How many listeners does In Machines We Trust get?

PodPitch shows a public audience band (like "40K–100K / month"). Book a demo to unlock exact audience estimates and how we calculate them.

How can I pitch In Machines We Trust?

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Which podcasts are similar to In Machines We Trust?

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