Matt Perault
Head of AI Policy, Andreessen Horowitz · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
executiveacademicanalyst@MattPerault ↗
Matt Perault is the Head of AI Policy at Andreessen Horowitz and a Senior Fellow at NYU's Center on Technology Policy. He previously directed the Center on Technology Policy at UNC-Chapel Hill and served as a Director of Public Policy at Facebook.
1 supported 0 partly supported 1 contradicted 2 not checkable as stated how the 4 claims stand · each chip opens the sources
1 prediction · 3 assertions · 3 opinions · 2 insights · 1 what if · every statement was checked. The prediction and assertions are the 4 claims: statements the public record can support or contradict. 2 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Matt argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Their most notable supported claim
Their most notable contradicted claim
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: speaking style how? →
273 words/min while actually speaking · 11.4 um and uh per 1k words · 15.4 false starts per 1k · 32.7% of pauses land inside a clause
No argument clarity score for Matt Perault: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.
Measured by listening to the audio itself: 5,109 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Matt Perault said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| The Little Tech Agenda for AI | Sep 8, 2025 | 23m |