2026 Perspectives in Private Equity: AI & Technology

Published
Score
10

Why it matters

Core event/development: In 2025, technology remained a prime target for private equity (PE) investors despite slower dealflow due to high valuations, while global tech M&A surged over 75% year-on-year to nearly $480 billion by mid-December, with nearly half of Bain & Company's larger deals involving AI-native companies or AI benefits[3]. PE activity shifted toward AI infrastructure, digital assets, and add-ons, setting a positive outlook for more AI-driven deals in 2026 amid strengthening capital markets[1][3].

Who's involved: Key players include PE firms like Blackstone (e.g., $16B Airtrunk data center acquisition in 2024)[6], Apollo Global Management (AI-driven cost reductions in portfolio companies)[5], and investors targeting AI enablers in healthcare, finance, logistics, cybersecurity, fintech, cloud, and data centers[2][4][5]. Major tech collaborations feature Apple and Google’s January 2026 multi-year deal for Apple to use Google’s Gemini AI models[3]. Firms like Bain & Company tracked deals; law firm Akin Gump analyzed trends[3].

Basic context and timeline: PE tech focus intensified from 2024 (40% of Q3 deployment)[6], with AI investments rising amid energy demands for data centers and clean tech[3][6]. 2025 saw PE AI deal volume up 49% YoY to $225.8B globally, AI integration in operations (deal sourcing, due diligence, monitoring), and subdued European activity vs. U.S.[2][3][5]. January 2026 Apple-Google deal and U.S. policy push for data center energy self-funding accelerated infrastructure plays; EU AI Act enforcement looms in August 2026[3][5].

Why newsworthy now: Published April 8, 2026, the report highlights momentum from 2025 rebound and early 2026 deals amid AI capex surge (hyperscalers +45% YoY), LP scrutiny (47% monitoring AI adoption), and policy shifts favoring PE in less risky infrastructure over pure AI ventures[1][3][5][7][11]. It signals 2026 deal acceleration, take-privates, JVs, and licensing as markets strengthen, differentiating scaled AI users in a K-shaped recovery[1][3].

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