Andrew McAfee

3 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Jan 2, 2019 by Andrew McAfee (Andy) · said 6 times in 3 episodes since 2019 · across every show →

Mentions by year

brought up most by Marc Andreessen (2), Sonal Chokshi (1)

tap a year for its mentions
0032632019episodesmentions
0232019episodes it came up in
0011.5232019episodesmentions per episode
2019 6 mentions in 3 episodes 2 per episode

every mention, scene by scene, with the transcript →

Everything said about Andrew McAfee, oldest first

Jan 2, 2019 bullish
Prediction Not checkable as stated
McAfee: Traditional companies will unequivocally survive despite blockchain decentralization
“The question gets teed up. Are we still going to have companies in the future? And as Eric and I started to think about all the stuff that we'd learned and tried to digest, our answer was an unequivocal yes.”
Andrew McAfee (Andy) Jan 2, 2019 ▶ 11:12 a16z Podcast | Companies, Networks, Crowds
Jan 2, 2019 positive
Insight
McAfee: Humans retain a massive advantage over AI as native speakers of human reality
“We are the native speakers of the human created world. Computers are doing this as their second language. We, I believe we have a massive advantage. We are the native speakers about this reality around us.”
Andrew McAfee (Andy) Jan 2, 2019 ▶ 27:34 a16z Podcast | Companies, Networks, Crowds
Jan 2, 2019
Assertion Partly supported
McAfee: Steam-era companies failed by refusing to rethink factory workflows
“The companies that failed during the transition from steam power over to electric power, almost none of them failed because they refused to invest in electricity. That was not the failure mode. The failure mode was they refused to rethink what a factory could …”
Andrew McAfee (Andy) Jan 2, 2019 ▶ 32:51 a16z Podcast | Companies, Networks, Crowds
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.