Market Trends & Industry Dynamics - Personal artificial intelligence is becoming central to daily work, though most current systems continue to operate within cloud infrastructure [1] - Local open-weight models trail frontier cloud models by **6 to 12 months** in capabilities, while consumer hardware accelerators currently support open-weight models ranging from **1 to 128 billion** parameters [4] Investment Opportunities & Cost Efficiency - Operating personal artificial intelligence on-device substantially reduces daily expenditure, achieving up to an **800x** reduction in financial cost and significantly lowering latency compared to cloud-only stacks [21] - Collaborating with cloud resources allows local models ranging from **20 to 30 billion** active parameters to rival closed-source frontier models while reducing daily operational costs by **7x to 11x** [23][24]