On Christmas Eve 2025, Nvidia executed its largest transaction to date: a $20 billion deal with AI chip challenger Groq.
On paper, Groq says it will "continue as an independent company." In reality, Nvidia just absorbed the founder, the president, and 90% of the engineering team.
The market is celebrating "innovation-friendly partnerships." I’m calling it something else: The Death of the Merger.
The 59-sec takeaway:
Nvidia didn’t buy Groq; they executed a "License-and-Lift."
By structuring a full acquisition as a "non-exclusive licensing agreement," Nvidia achieved total market neutralization while bypassing the 18-month antitrust gauntlet.
This is the 2025 playbook in action - A multi-billion dollar sleight of hand designed to keep "the fiction of competition" alive for regulators.
Read on for: The 5 signals proving this is systematic, why it works, what regulators are (finally) doing about it, and where this strategy breaks down.
THE 5 SIGNALS INFORMING MY TAKE
Signal #1: The Nvidia-Groq Deal Structure
Nvidia paid $20 billion for Groq's assets.
Groq raised $750 million at a $6.9 billion valuation three months ago. That's a 3x premium.
Groq CEO Jonathan Ross and President Sunny Madra joined Nvidia. Most senior leaders followed. Groq's GroqCloud continues "as an independent company" led by the CFO.
What this means: Every indicator of an acquisition is present except the legal classification.
Signal #2: The Pattern Is Systematic - $40B+ Since 2023
Big Tech deployed over $40 billion in "license-and-lift" deals from 2023-2025:
Meta + Scale AI: $14.3B for 49% stake, CEO Alexandr Wang joins Meta
Google + Windsurf: $2.4B licensing + hiring CEO and R&D team
Google + Character.AI: $2.7B licensing + hiring founders
Microsoft + Inflection: $650M licensing + hiring CEO Mustafa Suleyman and most staff
Amazon + Adept: Licensing + hiring CEO David Luan and 75 of 100 employees
Nvidia + Enfabrica: $900M+ for licensing + hiring CEO Rochan Sankar
What this means: This is a repeatable playbook, not an isolated incident.
Signal #3: It Bypasses Hart-Scott-Rodino Review
The Hart-Scott-Rodino (HSR) Act requires pre-merger notification for deals above $133 million. Filing triggers:
30-day initial FTC/DOJ review
Potential "second request" for additional information
Months of additional review
Possible legal challenge
Licensing deals with separate talent hires would mean no HSR filing required.
No merger classification, no antitrust review.
What this means: The structure is designed explicitly to avoid regulatory scrutiny.
Signal #4: Analysts Are Calling It What It Is
Bernstein analyst Stacy Rasgon wrote: "Structuring the deal as a non-exclusive license may keep the fiction of competition alive."
Hedgeye Risk Management analysts: "This transaction is essentially an acquisition of Groq without being labeled one (to avoid the regulators' scrutiny)."
What this means: Market observers recognize this as regulatory arbitrage, not legitimate alternative deal structure.
Signal #5: Regulators Are Starting To Catch On
The DOJ is investigating Nvidia's Groq deal as a "regulatory bypass." The inquiry could result in "behavioral remedies" preventing Nvidia from prioritizing investment partners for chip access.
An FTC 6(b) report in early 2025 concluded that massive investments by Microsoft, Amazon, and Google into OpenAI and Anthropic created "lock-in" effects forcing startups to spend capital back into investor cloud infrastructure.
What this means: The regulatory window is closing, but slowly enough that Big Tech is executing dozens of these deals before enforcement arrives.
THE DATA: WHAT WAS ACTUALLY TRANSFERRED
Despite the "independence" narrative, look at the asset migration:
The Talent: Founder Jonathan Ross (ex-Google TPU lead) and President Sunny Madra are now Nvidia employees.
The IP: Nvidia now holds a perpetual, non-exclusive license to Groq’s LPU (Language Processing Unit) architecture—the only hardware currently capable of challenging Nvidia’s inference speed.
The Shell: "Groq" still exists to service legacy GroqCloud contracts, led by the former CFO. It is a company with a brand, but no remaining R&D heart.
THE CONTRARIAN TAKE: WHY THIS IS GENIUS (AND DANGEROUS)
Big Tech has discovered that time is more valuable than equity.
If Nvidia had attempted a traditional merger, the FTC would have blocked it to "save" the inference market.
By the time the DOJ finishes its current investigation in 2027, the Groq team will have already integrated their tech into Nvidia’s "AI Factory" racks.
Why this matters for you:
The exit landscape for AI startups has fundamentally shifted.
The "Goldilocks" exit is no longer an IPO or a clean M&A. It’s an Elimination Premium.
Nvidia isn't just buying chips; they are buying immunity from the next decade of competition.
NOW WHAT
If you're a founder:
1. Understand "partnership offers" from Big Tech are often elimination strategies
If you're building technology that threatens an incumbent and they approach with a "strategic partnership" that includes:
Licensing your core technology
"Hiring" your CEO or key technical leads
Investment at a massive premium to your last round
What to do: Recognize this is acquisition-without-acquisition. Your company will become a shell. Your team will be absorbed. Your technology will be controlled. If that's your desired exit, negotiate accordingly. If you want to remain independent, decline. There's no middle ground despite what the term sheet says.
2. If you're Series A-B, build with acquisition defense in mind
The license-and-lift structure works because startups at Series A-B have concentrated talent (small team means easy to absorb) and early-stage IP (easy to license).
What to do: Build distributed technical capabilities across larger teams. Make your company harder to "license-and-lift" by ensuring no single person or small group holds all critical knowledge. Document IP ownership clearly to make licensing require actual asset transfer (harder to structure as "not an acquisition").
3. Consider regulatory exposure as a competitive moat
If your technology is threatening enough that acquiring you would trigger regulatory review, that's actually a moat. Big Tech can't acquire you traditionally, and license-and-lift becomes riskier as regulatory scrutiny increases.
What to do: Stay independent longer. Go public earlier (hard to "license-and-lift" a public company).
Partner with multiple incumbents (makes any single acquisition or elimination harder).
Force Big Tech to compete for your technology rather than absorb it.
If you're a VC:
1. Model exit scenarios assuming acquisitions are structured as licensing deals
Traditional M&A multiples don't apply when Big Tech uses license-and-lift.
Groq got 3x in 90 days because Nvidia eliminated a competitive threat.
What to do: Underwrite investments assuming exit structure matters as much as exit valuation.
Companies that can credibly threaten incumbents get elimination premiums via licensing deals.
Companies that don't threaten incumbents get traditional (lower) M&A multiples, if they get acquired at all.
2. Advise portfolio companies on licensing-as-exit structuring
This playbook benefits founders (premium exits) and investors (fast liquidity, no regulatory delay risk).
What to do: Educate portfolio CEOs on how to structure offers from Big Tech. Push for "all or nothing" deals - either genuine partnership OR full licensing + team transfer at premium.
The middle ground (licensing without premium) leaves you with nothing.
3. Prepare for regulatory backlash that kills late-stage valuations
If DOJ succeeds in Groq investigation, license-and-lift becomes riskier. Late-stage AI companies that positioned for Big Tech elimination exits could see valuations crash.
What to do: Diversify exits. Push portfolio companies toward IPO or international buyers (especially if US regulatory scrutiny increases). Don't underwrite late-stage rounds assuming Big Tech will pay elimination premiums if the structure becomes legally risky.
If you're building in AI infrastructure:
1. Nvidia is systematically eliminating inference competitors
Groq (inference chips): $20B.
Enfabrica (networking to connect 100K+ GPUs): $900M.
Pattern: Nvidia dominates training, now absorbing inference layer.
What to do: If you're building AI chips/infrastructure, assume Nvidia will attempt to absorb or eliminate you once you prove traction. Build regulatory defense (partner with multiple cloud providers, international distribution) or plan for licensing exit early.
2. The "independent cloud" narrative is dying
Meta absorbed Scale AI ($14.3B).
Microsoft absorbed Inflection.
Google absorbed Character.AI and Windsurf.
Every major AI infrastructure layer is being absorbed by incumbents.
What to do: If you're building middleware (APIs, data platforms, model serving), assume your exit is licensing to an incumbent, not independent scale. Price your product accordingly (premium while independent because time is limited).
3. Build for international markets if you want to stay independent
US regulatory framework enables license-and-lift. EU and UK are scrutinizing these deals more aggressively but still slow.
What to do: Build customer base outside US first. Makes you less attractive for US Big Tech absorption (they want US market control) and gives you leverage if they approach.
Watch these signals in Q1-Q2 2026:
DOJ action on Nvidia-Groq investigation: If DOJ forces divestiture or blocks similar future deals, the playbook dies. If they settle for behavioral remedies (chip allocation rules), playbook continues.
Watch for: Court filings or settlement announcements by March 2026.HSR rule changes: Congress could amend HSR to cover talent acquisition + licensing bundles.
Watch for: Proposed legislation in Q1 2026 (fast-track if DOJ Groq investigation reveals clear harm).Next Big Tech licensing deal: If Amazon, Google, Meta, or Microsoft execute similar structure in Q1 2026 AFTER DOJ Groq investigation launched, it signals they believe regulatory risk is manageable.
Watch for: AI infrastructure acquisitions structured as licensing (robotics, networking, chip design).Late-stage AI valuations: If license-and-lift becomes legally risky, late-stage AI companies lose exit path.
Watch for: Down rounds or stalled fundraising for Series C+ AI infrastructure companies by Q2 2026.International regulatory response: EU Digital Markets Act could classify AI as "gatekeepers".
Watch for: EU action on Meta-Scale AI or similar deals by mid-2026.
My prediction:
Q1 2026: At least 2 more license-and-lift deals close ($5B+ each) before regulatory action
Q2 2026: DOJ settles Nvidia-Groq investigation with behavioral remedies (NOT deal reversal)
Q3 2026: Congress proposes HSR amendments covering talent + licensing bundles
Q4 2026: License-and-lift continues but with new requirements (disclosure, review thresholds)
Bold summary: License-and-lift isn't a loophole. It's the new M&A standard.
By the time regulators adapt, Big Tech will have absorbed every threatening competitor.
Traditional acquisition is dead. Regulatory arbitrage is permanent.
Your turn.
Have you been approached with a "strategic partnership" that felt like acquisition without the label?
Reply with your take:
Are you seeing this playbook in your sector (beyond AI)?
Should regulators ban license-and-lift, or is this legitimate innovation?
If you're a founder, would you take a 3x premium licensing deal knowing your company becomes a shell?
This week’s sources:
→ CNBC: Nvidia buying AI chip startup Groq for about $20 billion in biggest deal ever
→ CNBC: Nvidia-Groq deal is structured to keep 'fiction of competition alive'
→ CNBC: Nvidia spent over $900 million on Enfabrica CEO, AI startup technology
→ CNBC: Scale AI founder Wang announces exit for Meta, part of $14 billion deal
→ FourWeekMBA: Big Tech's $40B License-and-Lift Strategy
→ Yahoo Finance: Nvidia's Groq deal underscores how the AI chip giant uses its massive balance sheet
→ Fast Company: What is the reverse acquihire and why is it so controversial?
→ Columbia STLR: FTC Scrutiny of Licensing and Hiring Arrangements
→ Market Minute: The Quasi-Merger Crackdown—DOJ investigating Nvidia-Groq
→ FourWeekMBA: License-and-Lift Becomes the Default M&A Template
See you next week,
Pavan
P.S. Nvidia spent $20 billion to eliminate a competitor without filing a single regulatory form. If that's not proof that antitrust enforcement is broken, I don't know what is.
P.P.S. Groq was valued at $6.9B on September 4, 2025. Nvidia paid $20B on December 24, 2025. That's a 190% premium in 111 days. The cost of eliminating competition has never been higher—or easier to execute.