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- Scale or Be Scaled: Inside the New AI Power Game
Scale or Be Scaled: Inside the New AI Power Game
Scale AI, Meta, Applied Intuition, and much more!

Deepdive
š§ Scale AIās Supercharge: Meta Gets a $14B Slice of the Data Pie
Move over annotated dataāyou just became a multi-billion-dollar sector. Scale AI, the powerhouse behind the data fueling OpenAI, Anthropic, and Microsoft, just sold a 49% stake to Meta for $14.3 billion, valuing the company near $29 billion. As AI demand accelerates, this deal signals that high-quality data pipelines are the crown jewels of the AI economy.
Data Foundry on Steroids
Scale doesnāt build modelsāit builds the engines and fuel: annotated, evaluated, red-teamed datasets powering everything from large language models to self-driving systems. What started as simple labeling has morphed into a comprehensive ādata foundryā with clients across consumer AI, defense, enterprise, and governments (hello, DoDās Thunderforge). Their recurring revenue is roaring toward $2āÆbillion in 2025, and margins are juicy enough to make traditional SaaS blush. Reuters, Business Wire
Metaās Masterstroke (With a Side of Monopoly?!)
Metaās massive investment isnāt just about dataāitās about talent and internal AI dominance. Scaleās CEO, Alexandr Wang, is now Metaās āSuperintelligence Chief,ā and with Google, OpenAI, and xAI suspending contracts post-deal, competition just got spicy. BI
The Geopolitical Data Frontline
This isnāt only Big Tech economicsāitās national strategy. Scaleās work with the DoD and EU governments highlights how data infrastructure is fast becoming mission-critical. Think AI arms races, corporate cold wars, and international alliances built on who has better training data first.
The Takeaway
Scaleās landmark deal spells a future where AI data is the real battleground. For foundersāitās validation that data-centric infrastructure can command both mindshare and mega capital. For investorsāitās a sign that the next boom wonāt just be about models: itāll be about the source code of intelligence: data.
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The Market Pulse
Big Techās AI Talent Grab: The Billion-Dollar Brain Drain Is Real
Private capital is shifting from splashy consumer bets to long-game fundamentals. Venture and growth investors are flooding AI, though insiders warn of overheated deal cycles and āherd behavior.ā Meanwhile, private equity sits on $1T in dry powder, waiting for rate clarity and better exits. Digital infrastructure and sustainability are pulling in serious dollars, and firms are quietly integrating AI into how they source, analyze, and manage deals.
š§ AI Everywhere: Over 50% of VC funding in Q1 2025 went to AI/ML, sparking concerns about groupthink and frothy valuations. Business Insider
š° Dry Powder Pile-Up: PE is sitting on $1 trillion in unspent capital, with exits delayed due to market uncertainty. Reuters
šļø Infra Is In: Data centers, grids, and digital infra are leading deployment as the AI economy demands physical backbone. WSJ
š± ESG Goes Core: Sustainability and impact arenāt just optics anymoreātheyāre top-line drivers in investment theses. PwC Report
š¤ AI-Driven Dealflow: From diligence to ops, firms are baking AI into their back office, boosting efficiency and cutting costs. McKinsey
Startup Spotlight
š”ļø Autonomous AVās Next Frontier: Applied Intuition Hits $15B Valuation
Company: Applied Intuition
Industry: Autonomous Vehicle (AV) Simulation Software
Latest Round: $600M Series F | Valuation: $15B
Investors: BlackRock, Kleiner Perkins, Lux Capital, General Catalyst
š§ What They Do:
Applied Intuition builds simulation software that helps autonomous vehicle companies test and validate their systems in virtual environments. Their tech allows for the modeling of āedge casesāārare but critical real-world scenariosāaccelerating time to safety certification and deployment.
š¤Founders:
Qasar Younis (CEO): Former COO of Y Combinator, ex-Google, and co-founder of TalkBin (acquired by Google)
Peter Ludwig (CTO): Former engineer at Palantir, Stanford alum
Together, they bring deep experience in startup scaling, technical rigor, and enterprise-grade infrastructure.
š¦Products & Capabilities
Simulation Platform: End-to-end environment to test AV software against thousands of real-world edge cases.
Sensor Modeling: Tools that emulate LiDAR, radar, and camera systems.
Data Integration: Plug-in support for real-world telemetry and test data.
Used by industry leaders including Waymo, General Motors, Toyota, and Tesla.
šTraction & Market Position:
Serving dozens of OEMs and Tier 1 suppliers
Revenue believed to be eight figures annually, with strong government and defense contracts
Partnerships across both AV and defense mobility sectors
Notable edge: simulation is now seen as essential infrastructure for AV progress
šWhy It Matters
This raise isn't just about capitalāit's about validation. Simulation has become a mission-critical layer for AV safety, compliance, and speed to market. Applied Intuitionās valuation jump (2x in under a year) reflects investor appetite for high-margin, infrastructure-like SaaS in mobility and defense.
Latest Fundraises from Major Firms (PE, VC, and Institutional Investors)
š Venture Capital
Felicis raised $900 million for its tenth fund, targeting early-stage AI and technology startups, with a focus on companies poised to become $100 billion+ enterprises..
FelicisClimate Tech Partners completed a first close of $32.6 million for its debut fund, investing in early-stage climate startups in Australia and beyond.
ClimatetechEcosystem Integrity Fund closed its fifth fund at $225 million, investing in sustainability-focused startups tackling climate and environmental challenges.
Axios
š¼ Private Equity
EQT is targeting approximately ā¬23 billion for its eleventh flagship private equity fund, focusing on global buyouts in technology and healthcare.
EQTQuantum Capital Group is seeking $4.5 billion for its ninth flagship fund, concentrating on oil and gas investments.
WSJPartners Group expanded its private credit evergreen fund to $2.3 billion in assets under management, offering flexible credit solutions for mid-market firms.
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