The executive talent market is divided in two

We have entered a weird phase in the tech lifecycle. If you look at the headlines, you see mass layoffs and talk of the AI bubble. But if you talk to founders in the trenches, the story is more nuanced. The executive talent market is no longer a monolith; it has fractured into two distinct realities. On one side, you have the proven rainmakers who can name their price. On the other, you have a bloated middle-management layer that is finding out just how replaceable they are.

For those of us building in crypto and AI, this shift is critical. We are moving away from the era of 'growth at all costs' where you hired just to show scale to investors. Today, efficiency is the only metric that matters. If you are a founder, understanding this divide is the difference between building a lean machine or burning through your runway on decorative C-suite hires.

The Flight to Proven Operations

In the current market, the demand for 'battle-tested' leadership has never been higher. Companies that are actually generating revenue or sitting on significant seed rounds aren't looking for visionaries; they are looking for operators who have survived a down cycle. This is the first half of the divided market.

These are the executives who know how to cut fat without hitting bone. They understand how to transition a company from a subsidized customer acquisition model to actual profitability. Because these individuals are rare, their compensation isn't actually dropping. In fact, for the top 5% of talent, we are seeing equity packages that look like 2021 levels, albeit with much stricter vesting schedules and performance milestones.

Builders need to realize that these hires are expensive for a reason. In the AI space specifically, we see a lot of founders trying to hire 'AI Strategy' leads. That is usually a mistake. You don't need a strategist; you need a Product Officer who understands the plumbing of LLMs and how to ship features that people actually pay for.

The Middle Management Squeeze

The second half of the market is where the pain is concentrated. For a decade, tech was flooded with people whose primary skill was 'managing upwards' and attending meetings. As companies shift toward flatter hierarchies, these roles are being vaporized. This is the 'Efficiency' mandate that Zuckerberg popularized, and it has spread everywhere.

If you are an executive whose primary value was coordinating between two other departments, the market is telling you that your role is obsolete. Founders are realizing they can use AI-driven project management tools and smaller, high-output teams to do the work that used to require three layers of directors. This has created a massive surplus of mid-to-senior level talent that is currently sitting on LinkedIn with 'Open to Work' banners, wondering why the recruiters have stopped calling.

This is a brutal correction, but it is a necessary one. We spent too long building companies like social clubs. Now, we are building them like laboratories. In a lab, you don't need a VP of Culture; you need people who can run experiments and analyze data.

What This Means for Crypto and AI Founders

If you are building in the decentralized space or launching an AI startup, you have a unique advantage. You are likely starting lean. The temptation, once you raise a Series A, is to fill out a traditional org chart. You think you need a CMO, a COO, and a Head of People. You probably don't.

The divided talent market means you should be extremely picky. You are better off overpaying for one exceptional General Manager who can wear four hats than hiring four specialists who require constant oversight. The 'fractional' executive model is also becoming a legitimate path for startups that need high-level guidance without the $300k base salary drag on the balance sheet.

• Hire for scars, not pedigree: A former Google director might look good on your pitch deck, but they might not know how to work without a support staff of twenty people.
• Avoid the middle: If a hire isn't writing code, closing sales, or directly managing the core infrastructure, ask yourself if the role can be automated or delayed.
• Equity is the filter: In a divided market, the best talent will still bet on themselves. If an executive candidate is pushing for a high cash-to-equity ratio, they don't believe in your roadmap.

The Myth of the Talent Shortage

We keep hearing there is a talent shortage in AI. That is a half-truth. There is a shortage of people who can actually build and deploy. There is an absolute surplus of people who can talk about it. The divided market reflects this reality. The 'talkers' are finding it impossible to land roles, while the 'doers' are being fought over by every VC-backed firm in the valley.

As a founder, your job is to distinguish between the two. The current economic climate has stripped away the fluff. It is harder to hide in a company of 20 than it is in a company of 2,000. When you hire an executive today, you aren't just buying their time; you are buying their ability to operate in a high-pressure, low-waste environment.

The market isn't down; it's just finally demanding a return on talent. The days of hiring for status are over.

We are seeing a return to the founder-operator model. Even at the executive level, the expectation is that you are 'in the weeds.' If a candidate asks about their administrative assistant during the first interview, that is a red flag. The best leaders in this new divided market are the ones who aren't afraid to get their hands dirty.

The Takeaway

The executive market has split into 'Value Creators' and 'Process Managers.' The former are more expensive than ever, while the latter are becoming redundant. For builders, this is an opportunity to acquire top-tier talent that is looking for real impact, but it requires a ruthless approach to headcount. Don't build a middle-management layer until you absolutely have no other choice. Keep your core team small, pay your lead operators well, and let the traditional corporations absorb the cost of the redundant middle class.

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