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NVIDIA's deal with Poolside, involving a massive licensing fee and hiring engineers while founders remain, represents a new M&A strategy. It allows them to absorb key talent and technology for their open-model ambitions without a full, complex acquisition, accelerating their competitive roadmap.

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Anticipating years of antitrust scrutiny for any major acquisition, tech giants are now opting for massive, multi-billion dollar IP licensing deals. This structure allows them to acquire talent and technology almost instantly, bypassing regulatory roadblocks that kill traditional M&A.

To win the AI arms race, companies like Nvidia are using creative deal structures, such as IP licensing instead of traditional acquisitions. This approach, seen in the Grok deal, bypasses lengthy regulatory reviews, enabling them to integrate teams and technology in weeks instead of months or years.

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.

Concerns about NVIDIA investing in startups that then buy its chips are overblown. These deals are a strategic necessity to support an ecosystem of NVIDIA users (like OpenAI) against Google, which leverages its own TPU chips to create captive customers (like Anthropic).

Nvidia paid $20 billion for a non-exclusive license from chip startup Groq. This massive price for a non-acquisition signals Nvidia perceived Groq's inference-specialized chip as a significant future competitor in the post-training AI market. The deal neutralizes a threat while absorbing key technology and talent for the next industry battleground.

NVIDIA's deal with chip startup Grok, which includes hiring 90% of its staff and a massive valuation payout, is structured as a licensing agreement. This is a transparent maneuver to function as an acquihire and neutralize a competitor while avoiding the intense antitrust scrutiny a direct acquisition would trigger.

Nvidia's non-traditional $20 billion deal with chip startup Groq is structured to acquire key talent and IP for AI inference (running models) without regulatory hurdles. This move aims to solidify Nvidia's market dominance beyond chip training.

NVIDIA's $20B licensing deal for Grok's technology represents a new M&A playbook. These deals allow rapid acquisition of talent and IP without the lengthy regulatory scrutiny from agencies like the FTC that traditional mergers face, though they may have less favorable tax implications like ordinary income.

Despite NVIDIA's new Rubin chip boasting 10x inference improvements, the acquisition of Grok's team was not redundant. It was a strategic move to acquire a world-class team with rare expertise in SRAM innovation—a skill set outside NVIDIA's core wheelhouse—effectively a $20 billion acqui-hire for unique talent.

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.