Zhang Pinpin · Hands-On AI Coach
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Why FDE Never Took Off — And Why It Might Be the Wrong Question Entirely

Long-Form Video · EP0081 August 6, 2026 03:13
What this episode covers

The FDE concept has been floating around for over twenty years. A decade ago the same role was called customer success. Now, riding the AI wave, it's been repackaged as a high-paying career path. I think that framing is a false premise — not because the work doesn't exist, but because almost nobody marketing themselves as an FDE has the background to actually pull it off. Enterprise AI transformation is fundamentally an organizational problem, not a technical one. AI proficiency is the bare minimum.

Right now there are more people teaching FDE than doing it. They claim they can give you "owner mindset" and "business logic" — give me a break. How many years have you spent in that industry? Have you managed inside a large organization? Do you have frontline sales and execution experience? Even founders struggle to get this done themselves — what makes you think a course graduate can walk in and transform someone else's business?

The FDE concept has been floating around for over twenty years. A decade ago the same role was called customer success. Now, riding the AI wave, it’s been repackaged as a high-paying career path. I think that framing is a false premise — not because the work doesn’t exist, but because almost nobody marketing themselves as an FDE has the background to actually pull it off. Enterprise AI transformation is fundamentally an organizational problem, not a technical one. AI proficiency is the bare minimum.

Right now there are more people teaching FDE than doing it. They claim they can give you “owner mindset” and “business logic” — give me a break. How many years have you spent in that industry? Have you managed inside a large organization? Do you have frontline sales and execution experience? Even founders struggle to get this done themselves — what makes you think a course graduate can walk in and transform someone else’s business?

The handful of people I’ve seen do this well are either industry-native operations leads or cross-disciplinary talents. And as I’ve said in earlier videos, the FDE label itself is being misused. The function of helping enterprises through AI transformation is better described as TRC — a computing-resource consultant — or AIBP: a business partner scoped to an entire company or department, embedded on the enterprise side with deep understanding of both the business and the org chart, backed by genuine trust and delegation from the top decision-maker. Without that, nothing moves.

What most companies actually buy is a training session. Training isn’t useless — upskilling employees is always a net positive. But training alone cannot reshape how an organization runs or how core business processes flow. The most common obstacle is employee resistance. Nobody wants to be replaced by AI; fatigue, half-hearted adoption, and outright pushback are the norm. An even bigger challenge often comes from the company’s own product and engineering teams. Their role and position mean they can’t spend the kind of time an external consultant does staying current on AI. Once the relationship turns into a turf war about who’s proving value to whom, the whole initiative stalls.

Another popular move is piloting on a so-called “innovation business.” That depends entirely on whether the company’s resource system will actually back the new line — and whether the agreed-upon upside will make it back to the external consulting team once things work. In practice, sales teams have been the earliest to embrace AI. For them, efficiency gains translate directly into revenue gains, which is why a lot of real AI implementation projects start by cutting into the sales department and its workflows.

Whether you call yourself an FDE, a TRC, or an AIBP doesn’t matter. What matters is project experience — getting your hands dirty. I renamed my community group “AI Practitioners” for exactly this reason. Too many people are just playing with AI in a vacuum: reskinning Codex, auto-editing videos, spinning up a bunch of little chatbots to talk to themselves. What does that accomplish? You’d be better off reaching out to former colleagues and partners, finding the person at a company who actually has purchasing authority, and asking them where their budget goes and what services they’re buying. If you can deliver that service cheaper, better, and at a stable, repeatable quality — that’s your client, that’s your deal.

Back in May last year I posted this on my feed: AI tools are cheap. What’s valuable is stable, continuous delivery that hits a consistent standard — the service, not the tool. There’s enormous opportunity here, and this year demand is exploding. The bottleneck is reliable people. I’ve been running a survey in my group to look for potential partners. Out of 400-plus members, roughly seventy or eighty filled it out. Only three met the bar, and I still need to evaluate their actual project work.

FDE is not something you learn in a classroom. Go find a real project near you. Beg for one if you have to — charge less, just get in. You will learn faster from one live engagement than from a year of courses.

Full video here: xntj.tv/ep/live-ep0081

AI tools are cheap. What's valuable is stable, continuous delivery that hits a consistent standard — the service, not the tool.