Pulled Into AI, Crypto, or a Hardware Boom From Another Industry?

This is not just a software story. Linux and open source, Bitcoin and crypto, AI, the desktop-3D-printing boom — every technology hype cycle pulls in a crowd far larger than the people who actually build, finance, or explain it. The doctor a health-AI startup wants as Medical Advisor. The insurance expert an InsurTech project needs as domain consultant. The manufacturing engineer a 3D-printing startup wants because they actually know a production line. The automotive project manager weighing a jump to an AI company. The HR director who suddenly has to run “AI Talent Acquisition.” If that's you, you're an outsider — and outsiders fall into two categories with very different odds.

1. The Subject Matter Expert

You understand the industry the technology wants to enter — not the technology itself. The crypto health startup needs you because nobody on the team knows how hospital billing actually works. The legal-AI tool needs a lawyer who can explain how attorneys really operate, not how the founders imagine it. The blockchain supply-chain project needs someone who has seen a real supply chain from the inside. The desktop-3D-printing company needs a materials or manufacturing engineer who knows what survives a real production run, not just what looks good in CAD.

This is a real and important function. Tech teams that push into a regulated industry without a subject matter expert almost always fail — not because of the technology, but because of the reality of the target industry. The problem is structural: you're valued while the team sells into your world, and dropped the moment the project pivots, runs out of money, or the technology proves unsuitable. Your involvement is transactional, not structural.

2. The Functional Expert

Your value is process skill that travels across industries: project management, HR, finance, marketing, legal operations. You didn't switch for the technology — you switched because the jobs pay better while the hype runs. The PM who leaves BMW for an AI startup gets a raise. The HR manager who goes from Siemens to a crypto exchange gets stock options. The operations lead who joins a 3D-printing scale-up gets a title that sounds like the future.

But you are, by definition, replaceable — your skills are the same whether you apply them in automotive, pharma, AI, or additive manufacturing. In the downturn you're the first to go, because you bring no technology-specific value. The most common and most expensive mistake here is confusing “I work in the AI industry” with “I have a role in the AI ecosystem.” One is a job. The other is a position. The job can be gone tomorrow; the position survives cycles.

The trap — and the way out

Both entries share one failure mode: you passively become “the advisor on a slide deck” and stay there until the wind turns. The way out is the same for both, and it is the whole point of Chapter 9 of The Hype Cycle Playbook: convert into a real role. The outsider position is an entry, not an endpoint.

The doctor who learns enough about health AI to become theEducator for “AI in Medicine.” The real-estate expert who understands tokenization well enough to found her own company. The lawyer who becomes a specialised AI attorney. The manufacturing engineer who goes so deep into additive manufacturing that he leads it instead of advising on it. The recruiter who has interviewed so many AI engineers that he becomes a Talent Scout; the marketer who goes so deep into a community that she becomes its Community Organizer; the controller who masters token economics and becomes an Analyst.

Elizabeth Rossiello is the proof case: a microfinance analyst in Nairobi who understood African payments cold, saw Bitcoin as infrastructure rather than speculation in 2013, and turned the intersection of her industry knowledge and the technology into BitPesa / AZA Finance — over $2B in transaction volume. She didn't stay an advisor. She converted.

Warning signs before you sign

The offer that looks like an opportunity is often a signal of the opposite. Watch for:

• •Token or equity compensation offered instead of cash.
• •An “advisor” title with no clear scope or time commitment.
• •A pre-revenue startup offering equity as a substitute for a proper fee.

The rule underneath them all: if a startup can't afford your expertise, that isn't a good “entry opportunity” — it's a startup that doesn't value your expertise enough.

The one question to ask first

Before you commit, ask yourself one honest question: will this make me better at something that survives the cycle — or am I just trading my old employer for a trendier one? If the answer is the first — you're building real technology understanding, you're converting into a durable role, you're learning something that compounds — then the entry makes sense. If it's the second, you're participating opportunistically, and you should go in knowing you're the first to go when the wind turns.