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The report's core claim: AI matters, but not equally everywhere
That distinction matters. If a firm trims support or operations because automation can handle repetitive tasks, that is one kind of labor shift. If it cuts teams because its niche no longer attracts users, fees, or funding, that is another. Gate says much of crypto's recent retrenchment falls into the second category.
Hype sectors are shedding jobs first
Gate's framing here is unusually practical for an industry report. It does not present crypto employment as one market moving in sync. Instead, it splits the field between sectors with measurable usage and sectors still living on narrative momentum.
That leads to one of the report's strongest points: layoffs in crypto are clustering where products have not yet proved they solve a large, recurring problem. If the business depends on token incentives, thin fee generation, or the promise that "ecosystem growth" will arrive later, hiring plans become fragile fast.
By contrast, areas linked to financial plumbing are holding up better. Which brings us to the one category that keeps surviving every grand reinvention of crypto.
Stablecoins are still where the jobs are
The hiring profile is getting more conservative
That does not mean stablecoins are immune to downturns. It means they have a clearer connection to revenue, user need, and policy development than many other crypto subsectors. Gate notes that regulation around stablecoins is taking shape globally, which tends to increase hiring in areas tied to controls, licensing, legal frameworks, and institutional integrations.
This is a notable shift in the type of crypto talent in demand. During earlier expansion phases, exchanges, NFT platforms, and token-first apps often prioritized marketing, community, and rapid product rollout. The current market appears to reward teams that can navigate compliance-heavy environments and connect crypto rails to mainstream payment systems.
In plain English, the resilient jobs are increasingly the ones that look closest to conventional financial infrastructure. Very futuristic, very disruptive.
AI is changing tasks faster than it is eliminating roles
One of the more nuanced findings in the paper is that "layoffs followed by rehiring" is becoming common. Gate says 32% of companies that cut headcount due to AI have already rehired more than a quarter of the roles they eliminated. [1]
That suggests a familiar pattern seen in other sectors: management overestimates how much work can be fully automated, removes roles too aggressively, then rebuilds teams around a revised scope. AI can reduce manual load, speed up research, draft content, summarize tickets, or improve developer productivity. It does not automatically remove the need for oversight, judgment, coordination, or domain expertise.
Companies are learning the expensive version of "human in the loop"
For crypto businesses, this is especially relevant. Many workflows in compliance, risk, customer operations, listings, institutional sales, and product design require context-sensitive decisions. AI can assist with those tasks, but assist is doing a lot of work in that sentence.
Gate's interpretation is that firms making smarter talent decisions are the ones separating task automation from role elimination. Cutting jobs because specific workflows can be streamlined is one thing. Assuming a function no longer needs humans at all is how companies end up posting replacement roles six months later.
The new premium is hybrid talent
Only 16% of professionals currently show a high level of AI readiness, according to Gate. That makes early capability a differentiator, especially in a contracting job market where employers can be selective. [6]
Generalists may struggle, specialists without AI skills may too
This part of the report reads less like a corporate market outlook and more like individual career advice, which Gate explicitly says is its intention. The message is straightforward: pure crypto enthusiasm is no longer enough, and neither is generic AI familiarity. The market increasingly wants people who can apply AI tools inside a commercially relevant function.
That is a harder bar to clear than simply adding "AI" to a résumé. But it also explains why some professionals remain in demand despite the broader hiring freeze. Employers are not just looking for cost savings. They are looking for workers who can raise output in parts of the business that still matter.
Why this matters
Gate's paper is most useful when it strips away the industry's habit of treating all downturns as temporary sentiment problems. The employment contraction looks more structural than cyclical in several subsectors. An 80% drop in job postings is not just caution. It is a reset in what kinds of crypto businesses can justify expansion.
At the same time, the report avoids the lazy claim that AI is simply "taking jobs." The evidence it presents points to a narrower reality. Weak sectors are shrinking because they were weak. AI is accelerating changes in workflow and team design, but it is not the sole reason payrolls are being cut.

