Legacy security models are broken. According to Onyx Security CEO Maxim Bar Kogan, tools like API monitoring or identity management lack the 'context' to understand why an AI agent is acting. In a traditional system, a command from an authorized account is legitimate. Agents, however, can hallucinate catastrophic instructions that look identical to valid requests, making enterprises one reasoning loop from a total data wipe.
“The core challenge is you don't just see the action; you don't just see the data. You have to understand the intent.”
- Maxim Bar Kogan, No Priors
Cloudflare CEO Matthew Prince frames a parallel collapse for the open web. He predicts AI agent traffic will surpass all human internet traffic by early 2027. Agents don’t click ads or pay subscriptions, creating a recursive decay loop where publishers, deprived of revenue, stop producing the original knowledge these models need to learn.
Prince argues the internet's original sin was a missing native payment layer. To save it, a system must handle 100 million transactions per second, enabling agents to issue micro-payments for every page they scan. Current blockchains aren't close to that scale. Without it, the economics of content creation fall apart.
The internal structure of the company is just as vulnerable. Salim Ismail, on Moonshots, argues Ronald Coase's 1937 theory - that firms exist to lower internal transaction costs - is now obsolete. The cost of internal meetings and coordination now exceeds the cost of using AI agents to execute tasks externally.
“Coase’s law is dead. The cost of coordination inside the company is now higher than the cost of doing the work on the outside using agents.”
- Salim Ismail, Moonshots
This flips the advantage from large, hierarchical firms to nimble agent-operators. Ismail warns any high-margin business line can be replicated by a small team using today's tools in 60-90 days. Survival requires building an AI-native 'digital twin' at the edge of the organization, migrating workflows to achieve 100x efficiency gains and eventually operating with 10-25% of the current workforce.
Leaders must become power users to navigate this shift. According to executive advisor Nufar Gaspar on The AI Daily Brief, the leader’s personal AI usage is the single biggest predictor of their team's adoption. Executives need to capture their 'undocumented context' - nuance, intuition, and messy priors - to feed AI systems and avoid generic outputs.
The synthesis is a fundamental redesign. Security moves from perimeter defense to intent monitoring, the web from advertising to micro-payments, and the corporation from a human-coordinated hierarchy to an agentic execution engine. The enterprises that survive will be the ones that architect around intelligence, not tradition.
