The venture capital pitch deck has become a liturgical document, and for the past three years its required scripture has been artificial intelligence. Every startup, regardless of actual product, has learned to genuflect toward machine learning, large language models, and the promise of autonomous everything. So when Misfits Gaming Group closed a $20 million Series B this month without once invoking the sacred letters, the gaming industry noticed—and so did the investors who wrote the checks.

The eSports organization, which fields competitive teams across League of Legends, Valorant, and other titles, reportedly structured its entire pitch around community engagement metrics, merchandise revenue, and media rights—the unsexy fundamentals that actually generate cash in professional gaming. AI was mentioned exactly zero times. The result was not rejection but relief: partners at two participating firms told industry reporters they found the presentation "refreshingly honest" after months of pitches where AI capabilities were bolted onto business models like spoilers on sedans.

The AI-washing backlash arrives

This is the inevitable correction to AI-washing, the practice of sprinkling generative-AI promises onto pitch decks to satisfy investor checkboxes. The strategy worked brilliantly through 2024 and early 2025, when any mention of LLM integration could add a zero to valuations. But venture capitalists, despite their reputation for herd behavior, do eventually notice when portfolio companies fail to ship the AI features they promised. The Misfits deal suggests we've reached the hangover phase: founders who can articulate a path to profitability without invoking magic words are suddenly differentiated.

The irony is thick. AI has genuinely transformed certain sectors—drug discovery, code generation, customer service automation—but its ubiquity in pitch decks has diluted its signal value. When every Series A claims to be "AI-native," the term means nothing. Misfits exploited this exhaustion by zigging while competitors zagged, positioning old-fashioned unit economics as a contrarian bet.

What this means for AI startups

The implications for actual AI companies are uncomfortable. If investors are rewarding the absence of AI claims, then startups building genuine machine-learning products must work harder to distinguish themselves from the noise. The burden of proof has shifted: it's no longer enough to say you're using AI, you must demonstrate why your AI is not vaporware. Expect due diligence to get more technical, with investors demanding model benchmarks, inference costs, and retention data that separates real capability from marketing copy.

Meanwhile, the eSports sector—long dismissed as a money pit subsidized by endemic sponsors—may have found its narrative. Misfits isn't claiming to be an AI company. It's claiming to be a profitable media company that happens to own gaming teams. That's a less exciting story, but it's also a more believable one.

Our take

The Misfits raise is a small data point, but it captures something real: the market is developing antibodies to AI hype. That's healthy. The technology's actual capabilities are extraordinary, but they've been obscured by a fog of exaggeration. Founders who can articulate what AI actually does for their business—or honestly admit it does nothing—will find a warmer reception than those still reciting the catechism. The sermon has grown stale; the congregation wants receipts.