The traditional government model of setting a regulation and waiting years to assess it is obsolete for AI. A new approach is needed: a dynamic board of government, industry, and academic leaders collaborating to make and update rules in real-time.

Formal regulations are struggling to keep up with the breakneck speed of AI innovation. Consequently, the actual standards for AI governance will emerge organically from industry best practices, born from incident responses and cutting-edge research. These practical solutions will be adopted long before they are codified into law.

Unlike traditional software development, AI-native founders avoid long-term, deterministic roadmaps. They recognize that AI capabilities change so rapidly that the most effective strategy is to maximize what's possible *now* with fast iteration cycles, rather than planning for a speculative future.

In foundations like the Agentic AI Foundation, direct competitors like Stripe and PayPal collaborate effectively on standards for agentic commerce. They work together to define the foundational 'rules of the game' and create the 'game board.' Once that neutral groundwork is established, they can then compete fairly on top of it.

Formal standards development organizations (SDOs) like the ISO operate on a 12-24 month timeline. This deliberate, consensus-based process is too slow to keep pace with the rapid evolution of AI technology, creating a governance gap that requires more agile, iterative approaches.

The founder, who left a $1.3M+ Google role, argues that major AI innovations (ChatGPT, Claude Code, OpenClaw) come from nimble teams. Large corporations' approval processes and guardrails stifle the rapid, experimental iteration necessary for true breakthroughs, making them poor environments for building the future of AI.

The ideal founder profile for AI startups is shifting. Previously, deep domain expertise was paramount. Now, the winning archetype is a scrappy, fast-moving team that can keep pace with rapid model development and quickly productize the latest advancements, outpacing slower, more established experts in their respective fields.

Unlike traditional internet protocols that matured slowly, AI technologies are advancing at an exponential rate. An AI standards body must operate at a much higher velocity. The Agentic AI Foundation is structured to facilitate this rapid, "dog years" pace of development, which is essential to remain relevant.

Contrary to the view that governance slows innovation, a well-implemented "trust by design" framework actually accelerates it. Companies that master operational governance can deploy AI solutions more quickly and confidently, transforming compliance from a brake into a competitive advantage of "speed by design."