FDE May Not Be the Answer
Forward deployed engineering is having a moment. An engineer who worked at a frontier lab thinks it is structurally inefficient, and pointed at what US firms and private equity are doing instead.
Telling a client to change everything is extremely hard to sell, no matter how much executive backing you have.
In the US the move is to buy the company outright, run the transformation, and sell it or take the margin.
What you read online has already been picked over in the Valley. It is effectively public domain.
Based on a pre-event conversation with an engineer who worked at Google DeepMind and xAI and later joined a frontier lab, speaking only from public information and personal views.
Why the offline conversation matters
Domestic news travels fast in Korea. What is hard to get is what circulates offline in Silicon Valley's inner circles.
What you read on social platforms or in the press has already been picked over there. It is effectively public domain by the time it lands. The interesting question is what people are actually worried about.
A non-linear career
His path is not a straight line. He built a predecessor of a major model at DeepMind, then moved to an autonomous driving company.
The reason is unusual. He wanted to relocate ahead of his wedding, moved quietly without filing a formal request, was found out, and faced going back. That happened right after the proposal. He moved to the self-driving company because it allowed remote work.
One or two months in, the parent company cut funding and the company effectively closed. That is how he ended up moving again.
Looking back he says the collapse was lucky. Without it he would not have gone into post-training at all.
The FDE problem
Forward deployed engineering is the concept getting the most attention in Korea right now. A product manager and an engineer embed at a large company and improve on-site problems with AI.
He does not think it is as efficient as it looks.
Set aside the economics. The deeper issue is that telling a client to change wholesale is extremely difficult to communicate and sell. Even with strong executive backing, it usually means changing the work of existing staff or removing them. Regulation adds friction on top.
So the engineer suffers, the executive who commissioned it suffers, and the people inside experience an outsider arriving to disrupt them. Everyone has a reason not to cooperate.
Buy the company instead
What interested him instead was AI roll-ups.
Private capital acquires companies in outdated industries, runs a hard AI transformation, and either resells or takes the improved margin as cash.
The difference from FDE is decisive. It is not a client, it is yours, so you can run it however you want. That obviously requires capital.
This is already happening in the US, with frontier labs forming joint ventures alongside global private equity and top consulting firms. Similar concepts existed before. Frontier labs entering directly is the new part.
They will target enterprise first, so everyone else either partners downstream or works a different layer. In Korea that could mean mid-sized regional manufacturers, given the manufacturing base and the number of factories outside the capital.
The difficulty is finding capital that shares the thesis, and there are no domestic success cases yet. It is an aggressive playbook.
The gap in ambition
Conversations like this make the difference in scope and execution visible. What frontier labs say about the future of humanity is startling, and the business layer is not far behind.
It raises an uncomfortable question about why bigger swings are harder here, and what exactly is in the way.
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