Does prior professional experience predict success in a genuinely new technology category like AI, or does it fail to transfer?
9 recorded positions from 6 people, first said Sep 28, 2022. They do not agree — the readings below are what each one actually argued.
New technology categories lack playbooks so decades of experience dont transfer
Kipp Bodnar · Sep 28, 2022
When a field is brand new, nobody has an experience advantage, so the only thing required to win is to learn faster than everyone else
In a new domain everyone shares the same baseline of knowledge — no one has thirty years of accumulated advantage
Scope: applies to genuinely new domains
4:22 20Growth: Hubspot CMO Kipp Bodnar on Why the Best Marketers Think Like VCs | Why the Best Companies Do Not Start with Product Marketing | New Channels; When To Do, How Much To Spend, How To Test, When To Stop
Harry Stebbings · Nov 27, 2023
The decay rate on operating experience has never been greater, so operating lessons from five years ago no longer transfer
The environment has changed with COVID and the arrival of OpenAI and ChatGPT
18:07 20VC: Keith Rabois and Mike Shebat on Creating an Olympian Mindset to Work Ethic, Why First-Time Founders are Better Than Serial Entrepreneurs, Why Remote Work Does Not Work, Why the Best Founders Always Start in their Teens & Why Companies are Cults?
Shyam Sankar · Jan 17, 2024
The recurring hiring error is assuming outside knowledge transfers without a massive retranslation function — candidates who say 'I've solved this before, I know the answer' are worse bets than those betting on their talent to find the answer
50:23 20VC: Palantir CTO on The Broken Incentive Structure of How Governments Buy Defence, The Danger of Defence Spending at Historic Lows, How Elections and Wars Change Government Defence Buying & Why Budgets are Anti-Creative with Shyam Sankar
Brad Lightcap · Apr 15, 2024
In many areas of OpenAI's business, twenty years of prior experience doesn't help, because the technology is a categorically new category with no existing playbooks for how to bring it into the world
The way people engage with, consume, use and talk about this technology is different, so the go-to-market playbooks don't transfer
Scope: at least in his part of the company
41:10 20VC: OpenAI's Sam Altman and Brad Lightcap on The Future of Foundation Models: Will They Be Commoditised | How to Solve the Problem of Compute | Open vs Closed: Which Dominates and Why | Which Companies and Verticals Will Be Steamrolled by OpenAI
Also on the record
David Vélez · Sep 11, 2023
He should have brought in people with more experience sooner instead of being dogmatic about hiring people whose heads were full of questions
It is also important to have people who come with some answers — the mix should have been better balanced
55:14 Should have hired more experienced people sooner not just curious ones
Sam Altman · Apr 15, 2024
Experience matters a lot in some roles and is neutral or a big negative in others; the right question is 'is this the person', not whether the company wants more or less experience
There are amazing people with tons of experience and amazing people with almost none, and whatever OpenAI is doing seems to be working
40:14 The right question is is this the person not experience level
Harry Stebbings · Apr 15, 2024
New industries level the playing field between young and experienced people, as seen in crypto where 19-year-olds were as impactful as 45-year-olds
In a genuinely new field prior experience doesn't matter
41:40 New industries level the playing field between young and experienced
Sam Altman · Apr 15, 2024
If you sampled any given person at OpenAI against their role, responsibility and impact, you would have expected or even hoped they were more experienced than they are
41:50 Openai staff are less experienced than their roles would suggest
Harry Stebbings · Jan 22, 2024 · hedged
Technical operating experience from before cloud and AI transfers poorly to today, but the people skills — detecting, hiring and retaining talent — transfer fully
The infrastructure and stack have changed completely, but people always stay the same
36:55 Technical experience fails to transfer but people skills transfer fully
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