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What Surprised Us Most In 2025

2025 marked a turning point in the AI landscape, where the frenzy gave way to focus and founders began building with greater clarity. The market matured beyond hype, revealing clear patterns in model performance, infrastructure availability, and application potential. As the chaos settled, a more strategic era of AI innovation emerged—one defined by precision, agility, and real business outcomes.
In 2025, AI transitioned from experimental to executable, with Anthropic's Claude surpassing OpenAI in developer preference due to stronger coding capabilities and user adoption. The market fragmented, as teams began selecting models like Gemini or ChatGPT based on specific strengths rather than defaulting to one. Model arbitrage became a competitive advantage, with startups using orchestration layers to dynamically switch between AI systems. Meanwhile, abundant compute from giants like NVIDIA lowered barriers for app-layer startups, echoing the post-infrastructure rise of internet-era applications. With infrastructure stabilizing, new waves of startups are emerging—lean, fast, and focused on high-impact domains. Companies like Gamma proved that small teams can achieve massive scale, signaling that the next generation of AI builders is just getting started.
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Anthropic's Claude leads YC winter 2026 cycle due to coding tool performance
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Startups are arbitraging AI models using proprietary evals to stay competitive.
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Competition in AI hardware means more compute availability for startups.
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Vibe coding is not fully reliable for production code as of 2025.
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Gamma reached $100 million in ARR with only 50 employees