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In Machines we Trust

In Machines we Trust
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"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 and fascinating world of machines, unraveling the mysteries and possibilities they hold.
Top 11.5% by pitch volume (Rank #5752 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Bi-weekly
Episodes
246
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: 8K–20K / month
Canonical: https://podpitch.com/podcasts/in-machines-we-trust-2
Cadence: Active monthly
Reply rate: Under 2%

Latest Episodes

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Amazon's $200B CapEx Spend Dominates AI Race

Sun Feb 08 2026

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In this episode, we explore the intense CapEx spending by tech giants like Amazon, Google, and Meta in the AI compute arms race. We also discuss how Amazon's AWS cloud business is outperforming and expanding, despite investor concerns about the massive expenditures.Chapters00:00 Introduction to the AI Spending Race01:57 AIbox Announcements and Tier Updates03:56 Amazon's Massive Capital Expenditure05:39 Competitor Spending and Investor Skepticism11:51 AWS Performance and Growth18:09 Wall Street and the Future of AI Links Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.ai AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer Join my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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In this episode, we explore the intense CapEx spending by tech giants like Amazon, Google, and Meta in the AI compute arms race. We also discuss how Amazon's AWS cloud business is outperforming and expanding, despite investor concerns about the massive expenditures.Chapters00:00 Introduction to the AI Spending Race01:57 AIbox Announcements and Tier Updates03:56 Amazon's Massive Capital Expenditure05:39 Competitor Spending and Investor Skepticism11:51 AWS Performance and Growth18:09 Wall Street and the Future of AI Links Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.ai AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer Join my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Key Metrics

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Pitches sent
44
From PodPitch users
Rank
#5752
Top 11.5% by pitch volume (Rank #5752 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
2
Written reviews (when available)
Publish cadence
Bi-weekly
Active monthly
Episode count
246
Data updated
Feb 10, 2026
Social followers
4M

Public Snapshot

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TechnologyPodcasts
Country
United States
Language
English
Language (ISO)
Release cadence
Bi-weekly
Latest episode date
Sun Feb 08 2026

Audience & Outreach (Public)

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Audience range
8K–20K / 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
No
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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Contact preview
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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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Reviews

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RatingsN/A
Written reviews2

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Frequently Asked Questions About In Machines we Trust

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What is In Machines we Trust about?

"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 and fascinating world of machines, unraveling the mysteries and possibilities they hold.

How often does In Machines we Trust publish new episodes?

Bi-weekly

How many listeners does In Machines we Trust get?

PodPitch shows a public audience band (like "8K–20K / 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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