#20: Mythos and Managing the AI-enabled team

May 12, 2026

In this episode of Modern Logic for Your Business, Dustin Bruzenak and Andy Rahn explore two major shifts happening right now in AI: the rapid advancement of models like Anthropic’s Mythos, and the equally important transformation of how teams work in an AI-enabled world.

They begin with the announcement of Mythos, a massive leap forward in model capability. With dramatically increased scale and performance, Mythos has already demonstrated the ability to uncover deep, long-standing vulnerabilities in widely used software systems. This raises serious questions about the future of cybersecurity, especially for small and mid-sized businesses that often lack the resources to continuously patch and protect their systems. As AI lowers the cost of exploitation, the risk surface expands across everything from enterprise infrastructure to everyday connected devices.

The conversation highlights a key reality: cybersecurity is no longer just a concern for large organizations. With more powerful tools, attackers can target smaller businesses, outdated systems, and unpatched devices at scale. The result is a rapidly changing security landscape where proactive defense becomes essential rather than optional.

From there, Dustin and Andy shift into how AI is transforming the way teams operate—starting with software development, but extending to all knowledge work. Traditional workflows like Agile were designed around the idea that building was the hardest part. Now, with AI accelerating execution, the bottleneck has moved upstream into planning, communication, and decision-making.

They explore how developers are evolving into feature owners, taking on more responsibility for product direction, communication, and outcomes. Roles like product management and engineering are beginning to blur, with both sides contributing to building, prompting, and shaping AI-driven systems. This shift requires individuals to expand their skill sets beyond execution into strategy, communication, and systems thinking.

The episode also examines how AI changes the economics of software and work. With the cost of building features dropping dramatically, teams can prototype and demonstrate ideas much faster. But this speed introduces new challenges: managing scope, avoiding unnecessary complexity, and ensuring alignment across teams and stakeholders.

Ultimately, the takeaway is clear: AI doesn’t just change tools—it changes roles. The most successful teams will be those that adapt quickly, embrace cross-functional thinking, and learn how to manage both human and AI contributors effectively.

🔗 Resources and mentions from this episode:

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Have questions about AI adoption, team structure, or cybersecurity risks in your business?
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