#19: AI Is Still Work

April 28, 2026

In this episode of Modern Logic for Your Business, Dustin Bruzenak and Andy Rahn explore a reality many people are starting to feel but not always talking about: AI is powerful, but it’s also exhausting.

As AI tools become more embedded in everyday workflows, they are changing not just how work gets done, but how it feels to do it. Tasks that were once hands-on and creative are shifting toward prompting, reviewing, and managing AI outputs. While this increases productivity, it can also introduce new forms of fatigue, decision overload, and a loss of the satisfying feedback loops that come from building something directly.

Dustin and Andy unpack the growing tension between leadership and engineering teams. Leaders see the potential of AI and push for rapid adoption, while individual contributors often feel uncertain about how to implement it effectively. This gap isn’t resistance—it’s a lack of clear direction, training, and realistic expectations around how AI should be integrated into workflows.

The conversation also dives into the overwhelming pace of change in the AI space. With new tools, models, and updates appearing constantly, many workers are caught in a cycle of fear of missing out, tool switching, and productivity churn. Dustin emphasizes the importance of pragmatism—choosing stable tools, focusing on what works today, and avoiding constant disruption from chasing every new release.

Another key theme is the shift from doing work to managing it. As AI takes on more execution, humans move into roles that look more like coordination, decision-making, and oversight. While valuable, this shift can feel less rewarding and more mentally taxing, especially without proper boundaries and expectations.

The episode also touches on real-world examples, including the Claude Code source leak, rising token costs, and how AI vendors are navigating pricing, performance, and infrastructure challenges. These behind-the-scenes realities highlight that AI is still an evolving technology, not a fully solved problem.

Ultimately, the takeaway is both practical and human: AI can amplify what you do, but it doesn’t remove the need for skill, effort, or care. Success comes from balancing experimentation with discipline, speed with sustainability, and productivity with compassion—for both yourself and your team.

🔗 Resources and mentions from this episode:

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Have questions about AI adoption, team workflows, or how to reduce burnout while increasing productivity?
Reach out to the Modern Logic team at modernlogic.io/letstalkai

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