Todd McKinnon conceptualizes AI agents not as simple tools but as a fundamentally new identity category. This identity possesses attributes of both a human user (roles, permissions) and a system (automation, being headless). This reframing is central to building the next generation of enterprise security and access management.
Contrary to fears of job displacement, Todd McKinnon believes AI will increase the demand for software engineers. While AI will handle more initial code generation, humans will be needed to manage the complexity of maintaining, scaling, and architecting the 10x more software that will be built with these new agentic systems.
The traditional software model centered on siloed applications (HR, sales, etc.). Todd McKinnon suggests the real value is now in "digital workers" or agents that can operate across these silos. This makes it difficult for legacy app vendors, who are organized by function, to build truly effective, broad agents.
Todd McKinnon believes that while security and infrastructure software are more insulated than productivity apps, CEOs must be paranoid. The power of new AI development tools makes the threat of customers building their own solutions, instead of paying for SaaS, a real concern for everyone.
Instead of focusing solely on defending its core business, Okta sees the primary AI opportunity in a new market for managing AI agent identities. CEO Todd McKinnon believes this "agent layer" could become the single largest category in cybersecurity, a market currently worth over $280 billion.
Todd McKinnon believes that while major platforms like Microsoft will try to create walled gardens for their AI agents, customer demand for interoperability will ultimately win. If market forces fail, he predicts government antitrust intervention, drawing a parallel to the historic unbundling of IBM's hardware and software businesses.
Okta's major strategic pivot to focus on AI agent identity wasn't born in a boardroom. CEO Todd McKinnon began casually mentioning the idea at the end of customer meetings. The immediate, intense interest from customers, compared to his main pitch, convinced him to completely reorient the company's direction.
To navigate the AI shift, Todd McKinnon argues leaders must proactively "turn up the change quotient." This means moving from a typical 80/20 stability-to-change ratio to at least 60/40. He stresses that this sometimes requires top-down mandates to overcome organizational inertia and empower teams to experiment.
Todd McKinnon found his decision-making slowed after founding Okta because he no longer had a boss as a safety net. The weight of being the final authority led to over-analysis. He eventually realized he needed to trust his instincts more, a key developmental stage for founders transitioning to established CEOs.