50% support, 20% confront. Tweet praises AI's power to let ambitious people bypass experience barriers and urges companies to find and promote future talent now.
Great read. AI lets you get tremendous leverage that wasn’t available before in almost any domain. That means we’re at a unique moment in history where anyone with a high level of ambition and core skills in any area can overcome a lot of historical experience requirements for their role. This can apply to anyone who’s junior or senior, but it’s pretty sweet that you can do far more than you could have accomplished as a newer employee than even a couple years ago. The people that take advantage of this will get ahead massively. And the companies that find this talent within or outside should put them in key positions to get as much out of them as possible. These people will seem strange and from the future, but they will help you figure out where things are going. Everyone company should be doing whatever they can to find them.
Real-time analysis of public opinion and engagement
What the community is saying — both sides
, and companies are promoting people who can deploy agents, not just those with tenure.
over years of service — a curious 25‑year‑old can outcompete a 20‑year veteran.
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that make the efficiency argument concrete.
unless they change metrics.
professions built on decades of pattern recognition (e.g., legal services) face a stronger “experience tax” — associates using agents can do partner work far earlier, and promotion timelines will shift.
; big, inefficient firms may outsource the gap to consultancies while AI‑native startups attract builders.
until it’s too late.
, not just to perform tasks manually.
confers disproportionate advantage — early adopters who act boldly capture massive leverage.
Some replies argue we should stop fearing added risk — pushing unknowns and experimenting more, not less.
Critics point out that companies praising “future talent” have laid off staff and rehired them cheaper, proving actions matter more than rhetoric.
Several responses warn that AI’s leverage tends to consolidate control at the infrastructure level rather than democratize access.
The view that experience is a massive moat — production-grade engineering and tribal process knowledge can’t be reliably replaced by shortcuts or POCs.
An empirical example describes giving filings to frontier LLMs that failed to spot major red flags, underlining current model limitations.
Multiple replies stress that AI makes experts more powerful, but is dangerous in inexperienced hands who don’t know which questions to ask.
Some push back, noting 22‑year‑olds turning napkins into production code quickly — new talent can bridge many gaps fast.
A counterargument says the data AI uses already existed and junior people could have accessed it before — AI may just make retrieval easier.
Replies range from sarcastic frustration that accumulated experience can be “instantly generated” to blunt challenges to “replace yourself” if that’s truly the claim.
Most popular replies, ranked by engagement
experience is a massive moat.. same with vibe coders and experienced SE.. O see the difference in output (POC vs Production grade). you dont know what u don’t know… and will not ask those unlock questions that is tribal process knowledge
Don’t agree with this. AI amplifies the value of domain expertise. If you don’t know the questions it’s probably more dangerous than helpful.
The people who benefit from AI leverage tend to be invisible to the systems built for measuring legacy productivity. they ship more but in patterns the org doesn't track
erience tax is heaviest in legal services. The whole moat is twenty years of pattern recognition. An ambitious associate running agents on top of that pattern library now does the work the partner used to charge for, in a fraction of the time. The firms that promote them in yea
We couldn't hire for the role we needed. Kept losing people to bigger companies. Ended up building an AI BDR instead. She booked more meetings in her first week than the human had in the prior 8 weeks. I'm not sure what we would've even done with that hire at this point.
guy serious? Who and where do we fin these kids of the future per this new prophecy? Lol funny. "Meanwhile, a 22 year-old is writing production code in an afternoon, turning a napkin sketch into a working prototype by lunch, and moving between visual and written abstra
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