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In talent-driven deals, acquirers are changing the economic split. They may offer VCs just enough to recoup their investment while allocating the vast majority of the deal's value to retention RSU packages for key employees. This recognizes that the value lies with the people, not the corporate entity or its IP.
While headlines focus on talent poaching by giants, the inflated compensation landscape has a silver lining for investors. It's driving an unprecedented number of acqui-hires where startups are acquired for their teams, providing excellent, non-traditional returns for early-stage funds.
The practice of 'revesting'—making a founder's deal proceeds contingent on continued employment—is becoming more aggressive. With talent-only deals, some acquirers argue for revesting 100% of the founder's payout, asserting that the payment is for future work, not for the now-irrelevant business they built.
Unlike traditional acquihires that saved failing startups, today's AI acquihires are offensive moves where large companies pay billions for elite teams. The target's product is often irrelevant; the goal is to infuse the acquirer's existing products with top-tier AI talent, treating engineers like superstar athletes.
Paying billions for talent via acquihires or massive compensation packages is a logical business decision in the AI era. When a company is spending tens of billions on CapEx, securing the handful of elite engineers who can maximize that investment's ROI is a justifiable and necessary expense.
In the AI arms race, a $10 billion investment from a trillion-dollar company is seen as table stakes. This sum is framed as the cost to secure a handful of top engineers, highlighting the massive decoupling of capital from traditional value perception in the tech industry.
In the hyper-competitive AI talent market, companies like OpenAI are dropping the standard one-year vesting cliff. With equity packages worth millions, top candidates are unwilling to risk getting nothing if they leave before 12 months, forcing a shift in compensation norms.
For AI giants with billions in capital, elite talent is far more valuable and scarce than money. Acquiring a promising YC startup is a highly efficient way to recruit a top-tier team. This M&A dynamic underpins the seemingly irrational, sky-high valuations for early-stage AI companies.
The acqui-hire premium for AI talent has skyrocketed past the typical $500k per engineer. AI-savvy engineers are now valued at $750k to $1.2M each, with the acquirer often completely discounting the actual technology or product the team has built.
The traditional tech compensation hierarchy has inverted. Top AI engineers at companies like Meta are receiving four-year liquid stock packages worth a billion dollars, surpassing the illiquid, long-term carry of even the most successful venture capitalists. This marks a significant shift in the most lucrative roles in tech.
Harvey AI's M&A strategy prioritizes acquiring talented teams over buying existing tech, even from outside its industry. The rationale is that great talent can build new products much faster with modern AI tools, making the team the more valuable asset.