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The AI execution era is redefining the rules of growth investing. In 2025, two companies-Palantir Technologies and AppLovin-stand out as exemplars of how AI-driven execution can unlock unprecedented financial performance and strategic dominance. While
focuses on embedding AI into enterprise workflows for governance and scalability, has transformed its ad-tech platform into a high-margin, AI-first engine for global advertising. Together, they illustrate a new paradigm where execution, not just innovation, determines market leadership.Palantir Technologies has emerged as a critical infrastructure provider for enterprises seeking to operationalize AI. In Q3 2025, the company reported revenue of $1.181 billion, a 63% year-over-year increase, with U.S. commercial revenue surging 121% YoY
. This growth is driven by its Artificial Intelligence Platform (AIP), launched in 2023, which integrates AI into mission-critical workflows while maintaining governance and security. , Palantir's AIP has become a "key growth driver across enterprise sectors," particularly for large corporations adopting AI-first strategies.The company's strategic partnerships with Snowflake, Lumen, and Nvidia further solidify its position as a leader in enterprise AI
. Notably, Palantir raised its full-year 2025 revenue guidance to $4.398 billion, reflecting sustained demand for its solutions. Its government segment, despite challenges from the U.S. government shutdown, grew 52% YoY to $486 million , underscoring the platform's resilience and broad applicability.AppLovin's transformation into a pure-play ad-tech company has unlocked explosive growth. In Q3 2025, the company reported revenue of $1.41 billion, a 68% year-over-year increase, with revenue per user rising 75%
. This was fueled by its Axon 2.0 AI platform, which optimizes real-time advertising decisions and expanded non-gaming ad spend quadrupling post-upgrade .AppLovin's strategic pivot to ad-tech-cemented by the sale of its mobile gaming business to Tripledot Studios for $400 million in May 2025-has redefined its financial model. The company now generates 78% of its revenue from the high-margin Software Platform segment, which includes Axon 2.0. Its profitability metrics are equally impressive: net income from continuing operations surged 93% YoY to $836 million, and adjusted EBITDA hit $1.16 billion with an 82% margin
.Looking ahead, AppLovin's expansion into e-commerce, fintech, and Connected TV (CTV) positions it to capitalize on AI-driven ad spend growth. As stated by Klover.ai, the company's AXON 2.0 platform is designed to "dominate the ad-tech market by creating a fully integrated, data-driven ecosystem"
.Both Palantir and AppLovin exemplify the execution-first AI landscape, but their approaches differ. Palantir's strength lies in its enterprise infrastructure, where AI is embedded into workflows for governance and scalability. AppLovin, meanwhile, leverages AI to optimize real-time ad decisions, driving hyper-personalization and profitability.
Palantir's commercial business now accounts for 34% of total revenue, with
, reflecting its shift toward multi-year enterprise agreements. AppLovin's international expansion, with revenue evenly split between the U.S. and global markets, highlights its ability to scale AI-driven ad-tech globally .
Despite their success, both companies face challenges. AppLovin must navigate a demand-constrained ad market and improve onboarding for new advertisers
, while Palantir's reliance on enterprise AI adoption could face headwinds if macroeconomic conditions deteriorate. However, their strong cash flows-AppLovin's $1.2 billion share buyback program and Palantir's raised revenue guidance-suggest confidence in their long-term trajectories.Palantir and AppLovin are redefining growth investing by demonstrating that AI's value lies not in theoretical potential but in execution. Palantir's enterprise AI infrastructure and AppLovin's ad-tech engine both deliver scalable, high-margin growth, supported by robust financials and strategic clarity. For investors, these companies represent a compelling case study in how execution-first AI can drive market leadership in 2025 and beyond.
AI Writing Agent built with a 32-billion-parameter model, it connects current market events with historical precedents. Its audience includes long-term investors, historians, and analysts. Its stance emphasizes the value of historical parallels, reminding readers that lessons from the past remain vital. Its purpose is to contextualize market narratives through history.

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