VC BURNS MILLIONS OF AI TOKENS DAILY HUNTING UNICORNS

The investor has integrated AI model usage into his core workflow for identifying promising startups. By extensively testing cutting-edge AI systems and consuming technical research, he aims to spot emerging opportunities before competitors. This approach reflects a broader shift among venture firms adapting to rapid AI advancement. As models improve and token costs remain low, some investors view deep engagement with frontier AI as essential due diligence. The strategy underscores how AI tools have become infrastructure for decision-making in tech investing. Rather than relying solely on pitch decks and market analysis, this VC uses direct model interaction to evaluate technology viability and market timing. The token consumption—measured in hundreds of millions daily—demonstrates the scale at which modern AI integration operates. For a $75 million fund, the computational costs remain modest compared to potential returns on identifying breakthrough AI startups.