When venture capitalists only want to fund AI, every startup becomes an AI company — at least in the pitch deck.
That's the lesson from a recent eSports startup that reportedly secured $20 million by reframing its gaming business around artificial intelligence terminology, despite the core product having little to do with the technology that has consumed Silicon Valley's imagination since late 2022. The maneuver worked, the checks cleared, and the founders presumably celebrated their fluency in the dialect of the moment.
The story has circulated among founders as a tactical triumph. It should circulate among investors as an indictment.
The vocabulary arbitrage
The mechanics are straightforward. Take an existing business — in this case, competitive gaming infrastructure — and describe every feature through an AI lens. Player matchmaking becomes "AI-powered talent optimization." Analytics dashboards become "machine learning performance insights." Community management becomes "intelligent engagement systems." The underlying technology may be conventional software, but the pitch deck glitters with the keywords that unlock term sheets.
This is not fraud, exactly. Most software companies use some form of algorithmic processing that could, under generous interpretation, qualify as artificial intelligence. The dishonesty is subtler: it exploits the gap between what investors think they're buying and what founders know they're selling.
Pattern matching gone wrong
Venture capital has always been a pattern-recognition business. Investors look for signals — Stanford degrees, prior exits, market timing — that correlate with success. The problem arises when the pattern becomes the product. When "AI" transforms from a technology category into a valuation multiplier, the incentive to claim membership becomes irresistible.
The eSports case is notable only because someone talked. The practice is endemic. Fintech companies rebrand as "AI-native financial infrastructure." HR software becomes "intelligent workforce platforms." Even consumer apps that use basic recommendation algorithms now position themselves as artificial intelligence plays. The language has become so diluted that it communicates almost nothing about actual technical capability.
The correction that isn't coming
In theory, markets punish misallocation. Startups that overpromise on AI should underdeliver, disappoint investors, and face down rounds or shutdowns. The discipline of returns should restore honesty to pitch decks.
In practice, the feedback loop is broken. Venture funds operate on decade-long timelines. By the time an AI-washed company reveals itself as ordinary software, the partners who wrote the check have moved on to the next hype cycle. The institutional memory is short, and the incentive to deploy capital remains constant. As long as LPs want AI exposure, GPs will find AI deals — even if they have to manufacture them.
Our take
The eSports founders played the game as it exists, not as it should be. The real failure belongs to an investment ecosystem that has substituted keyword detection for due diligence. When a gaming company can raise at AI multiples by changing its vocabulary, the problem isn't clever founders — it's incurious capital. Silicon Valley spent decades preaching about first-principles thinking. The AI gold rush has revealed how little of that philosophy survived contact with a hot market.
