Y Combinator Boss Garry Tan Spends $200,000 a Year on AI

Personal AI agents: luxury or necessity?
Y Combinator Chief Executive Garry Tan has made an ambitious claim in the technology world. The head of the renowned startup accelerator, known for his deep passion for tech, admitted that he spends between $100,000 and $200,000 a year using artificial intelligence agents. This sum primarily covers the cost of tokens, which represent the data processed by AI models.
Tan actively incorporates AI agents into both his work routines and his personal life. He revealed that AI has access to his emails, Dropbox files and Apple Notes, including personal journal entries and therapy notes dating back 20 years. He compares the experience to "Jiminy Cricket" — a character who constantly stands by you, understands you, and helps you avoid mistakes or spot things you might otherwise miss.
Y Combinator's internal AI "Stray Light"
Under Tan's leadership, Y Combinator has even created its own internal AI agent named "Stray Light". Serving as the firm's central "brain", the system has access to data on every startup the fund has ever invested in, alongside all correspondence and applications. This allows the firm to manage its operational processes far more efficiently.
Tan emphasises that AI agents should not be viewed as traditional software. Many users attempt to restrict agents with strict rules, which he believes undermines the technology's main advantage — its human-like flexibility. He has shared 23 coded skills called "gstack" on GitHub to help others learn how to deploy agents with greater autonomy.
The future of technology and mass adoption
Despite spending such substantial sums himself, Tan acknowledges that this is currently a "crazy privilege". In his view, AI agents will only see mass adoption once the cost of using them falls significantly. He has also criticised algorithms controlled by major technology corporations.
Tan envisions a future dominated by personal AI that users control and program themselves, rather than relying on constraints imposed by outside companies. Although spending on this scale remains unlikely in markets like Georgia for the time being, the broader trend is clear: artificial intelligence is increasingly shaping daily decision-making, giving local companies a strong incentive to deploy similar tools more effectively.