The traditional tech growth model requires venture capital, which often forces companies to prioritize profit over user interests. Agent-based systems may allow small, passionate teams to build and scale massive public-good services, like political agents, without VC funding. This could enable them to remain perpetually aligned with their original mission.

Enterprises will move slowly on deploying AI agents due to massive security and integration risks with legacy systems. Startups, with less to lose and cleaner stacks, will adopt agent-based workflows rapidly, creating a significant competitive advantage and widening the gap between incumbents and challengers.

New AI coding agents excel at creating fresh applications but struggle with complex, existing codebases. This gives flexible startups a significant advantage over large companies burdened by legacy systems, fundamentally rebalancing power in the tech industry.

The greatest productivity gain from AI in large companies won't be simple job elimination. Instead, AI agents will replace the "hard to manage and motivate human cogs" that create organizational friction. This reduces coordination costs and allows a company's key value-driving employees to execute far more effectively.

Incumbent companies are slowed by the need to retrofit AI into existing processes and tribal knowledge. AI-native startups, however, can build their entire operational model around agent-based, prompt-driven workflows from day one, creating a structural advantage that is difficult for larger companies to copy.

Contrary to popular belief, SMBs and startups are more "agent-native" and aggressive in adopting AI agents than larger enterprises. Their lower stakes and faster decision-making processes allow for more rapid experimentation and a higher ratio of agents to humans.

The competition between data platforms and model companies is not about providing a better tool. It is a battle to define the future enterprise operating model, where core processes are executed by a collaboration of humans and AI agents, fundamentally changing roles and workflows.

Enterprise executives are most excited about AI agents' ability to accelerate a company's most valuable employees by replacing the "hard to manage and motivate human cogs" that create organizational drag and massive coordination costs, thereby boosting top-line growth.

AI agents will enable founders to maintain lean teams, replacing large departments with a few people and multiple agents. This approach avoids the bureaucratic friction and alignment challenges, like endless OKR meetings, that plague larger companies, making it easier to coordinate.