Momentum and product shipment velocity are the new primary competitive moats for AI startups, superseding traditional metrics like user retention.
The AI platform shift is a more significant technological event than the internet, fundamentally changing user behavior from consumption to creation and productivity.
The economics of AI startups are uniquely favorable, with declining compute costs and high-margin structures allowing for rapid scaling where growth almost directly translates to profitability.
Traditional, slow-paced product development is obsolete in the AI era; startups must ship products at a high cadence to keep up with the rapid pace of underlying model improvements.
Broad government regulation of AI development is counterproductive, as it moves too slowly and is more likely to stifle innovation than achieve positive outcomes.
Pre-2023
Kim's self-described investment focus was on user retention as the 'north star metric' for evaluating startups.
Post-ChatGPT Launch
The venture capital community, including Kim, observed a debate between a 'mother model' thesis and a modality-specific model thesis for AI dominance.
Current (2023-2024)
Kim has shifted his investment thesis to prioritize 'velocity' and 'momentum,' believing traditional product development is too slow for the AI era. This period includes a16z's $15 million investment in Cluey.
Near-Term Future (Current Year)
Kim predicts Waymo will expand to three more cities and that tech layoffs will decrease compared to the previous year.
Mid-Term Future (By 2026)
Kim predicts a major shift in consumer AI applications from productivity tools to those enhancing social connectivity and relationships.
▶The New VC Playbook for AIApr 2026
Brian Kim outlines a revised investment thesis for the AI era, prioritizing speed and momentum over traditional metrics. He argues that diligence timelines have compressed to weeks and that 'velocity' in user growth and product shipment is now the key indicator of success, replacing older benchmarks like retention.
This signals a high-risk, high-reward investment environment where VCs are willing to overlook traditional signs of stability in favor of explosive growth potential, potentially leading to more volatile investment cycles.
▶AI as a Foundational Economic ShiftApr 2026
Kim posits that AI is a more significant technological platform shift than the internet, fundamentally altering business economics and user behavior. He points to declining compute costs, 'incredible' margin structures for new apps, and a user shift from consumption to creation as evidence of this transformation.
Investors aligned with this view are likely to value total addressable market (TAM) expansively, as seen with Eleven Labs, and may underwrite companies with initially low margins, betting on future cost reductions.
▶Momentum as the Ultimate MoatApr 2026
In a landscape where underlying AI models improve weekly, Kim argues that traditional product-based moats are eroding. He believes the primary competitive advantage is now 'momentum,' defined by rapid product shipping and distribution, which compounds over time to outpace competitors.
This framework suggests that for AI startups, the ability to iterate and deploy quickly is more valuable than perfecting a single feature, placing a premium on engineering and operational excellence.
▶The Future of Consumer AIApr 2026
Kim offers specific predictions on the evolution of AI, anticipating a move beyond productivity tools towards applications that enhance social connection and relationships by 2026. He also speculates on the form factor of future hardware, predicting an audio-first ambient device from the Jony Ive/OpenAI collaboration.
This forward-looking view indicates an investment focus on the next wave of AI applications that integrate more seamlessly into personal lives, moving from explicit task-based interactions to implicit, relationship-oriented ones.