371 recurring AI-focused YouTube creators and channels, led by coding and AI engineering (146) over tools and productivity (135)
Asked (summary):
Identify YouTube users who regularly discuss AI, LLMs, and adjacent technologies, with username, location, and the subject categories each regularly covers — a column per common category.
An open web scan as of 16 October 2026 surfaced 371 creators and channels with recurring AI/ML/LLM coverage, each corroborated by at least two distinct source pages across 94 hosts. There is no authoritative registry of every YouTube user discussing AI, so this is a broad, conservative discovery set, not an exhaustive census. 207 of 371 have a discovered @handle and 38 state a public location; missing values are shown blank, never inferred. The 16 subject categories overlap, so category counts do not sum to 371.
Channels per subject category
Each channel may belong to several categories — bars overlap and do not sum to 371. Hover a bar for example channels.
Coding & AI engineering is the most common beat (146 of 371 channels), ahead of tools & productivity (135) and business & startups (127) — practical building dominates over theory. gen.pro
Two Minute Papers is the most corroborated channel in the set, backed by 117 source pages across 80 hosts; AI Explained and Matt Wolfe follow at 94 each. gen.pro
Only 38 channels publicly state a location — India (14) and the United States (6) lead — because only explicit statements were accepted. ailearningresources.com
Computer vision (23) and robotics & autonomy (32) are the rarest beats, less than a sixth as common as coding content. aitechtonic.com
All 371 creators and channels
Filter by category, handle or location availability, and corroboration strength. Blank cells mean no handle or location was publicly found; grey dots mean the category does not apply.
Method: live web research as of 2026-10-16. Rows are one per normalized creator or channel (371 total; some are organizations, shows, podcasts or educational channels rather than individuals). Inclusion required descriptions of recurring AI/ML/LLM/generative-AI coverage on at least two distinct source URLs; the set spans 94 supporting-source hosts, and the most-used displayed source URL supports 14 of 371 rows. Source and host counts measure corroboration. The 16 topic columns were classified from consolidated source descriptions and overlap. Locations are only shown when explicitly stated in public — 38 of 371 — and @handles were found for 207. YouTube URLs are constructed from handles. Rows render 25 at a time for space; all 371 remain reachable via Show more and filters.