Category Report

Top 10 Books from Technology Podcasts - Feb 2026

Which books are shaping the thinking of engineers and technologists this month, as mentioned across leading technology podcasts.

Category: Technology
Updated: 2026-02-07
Period: Monthly
Featured Insights

Biggest mover: Stories of Your Life and Others by Ted Chiang #2, rising 64 places.

2001: A Space Odyssey by Arthur C. Clarke, Neil Gaiman was the top newcomer at #1. In total 16 books had their debut mentions.

Dwarkesh Podcast drove the most book chatter, with 17% of this months book mentions.

Impacts and Insights for Engineers and Technologists

Across February’s most-discussed books, science fiction is doing the analytical heavy lifting for how people think about AI, autonomy, and future societies. Classic titles like 2001: A Space Odyssey, Stories of Your Life and Others, Exhalation, Flowers for Algernon, the Culture series, and Heinlein’s works are being used as shared reference points to probe questions of truthful vs deceptive AI, rapid cognitive change, and what non-dystopian futures might look like. At the same time, Getting Real, Accelerate, and Frictionless show a parallel focus on how to actually build and organize high-performing software and AI teams, emphasizing small-team execution and removing organizational friction. The unusually prominent role of 2001 suggests mounting concern with AI alignment and control problems, with professionals turning to familiar narratives to frame the risks of systems that may resist shutdown, obfuscate behavior, or gain power in ways their creators did not intend.

Top 10 Books

Top Podcasts Driving Mentions

The shows that surfaced the most book mentions this month.

Signal Momentum

Mentions recorded per 30-day window (past 8 months)

Coverage Mix

How many of the mentions were for the top 10 books.

Signal Summary

Podcasts Monitored
18
Episodes Searched
30
Unique Books
22
Total Mentions
23

Methodology

The podcasts included in this report are curated by MavenSignal to represent the trusted voices in this category.

We ingest public RSS feeds, analyze each episode, extract book mentions with AI, and validate with humans. The resulting data is normalized and deduplicated, building the canonical signal for the MavenSignal platform. Every insight and ranking is drawn from that verified layer.

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