The Market's New Demand: Why industry leaders are prioritizing conflict resolution, priority sorting, and emotional intelligence over software proficiency.

The "Clunky" Nature of Change: How institutional evolution is rarely gradual, usually requiring a crisis or a significant shift in data to force a new paradigm.

AI in the Trades: A look at how entrepreneurs in blue-collar industries are using AI to build training databases and improve field operations.

Killing the Written Exam: Drew's innovative approach to "oral defenses" in crisis communication, where students must defend their strategies in real-time rather than submitting a paper.

The Difference Between Output and Outcome: Shifting the metric of success from "how fast can we do a task" to "how much have we actually grown as leaders."

Season 2 opens with a raw and timely conversation between Bob Hutchins and Tim Howes about one of education's biggest challenges: academic integrity in the age of generative AI.

As schools race to adapt, many are responding with surveillance and bans, but Bob and Tim ask a deeper question-what if the problem isn't AI, but the system itself?

They explore how generative tools are not creating dishonesty but revealing cracks in outdated assessment models, why detection software erodes trust, and how educators can rethink learning through transparency, reflection, and prompt literacy instead of punishment.

Redefining Academic Integrity:
Integrity is no longer about "doing your own work," but about demonstrating your own judgment and transparency in using AI responsibly.

Policing vs. Trust:
Detection tools and AI surveillance create a culture of suspicion. True integrity grows from relationships, mentorship, and open dialogue.

Systemic Rot in Education:
AI didn't cause dishonesty—it exposed how transactional learning and grade-focused systems fail to nurture genuine understanding.

Prompts as the New 'Show Your Work':
Instead of grading AI outputs, teachers can assess the quality of a student's prompts, which reveal depth of knowledge and critical thinking.

Inequity and the AI Divide:
Well-resourced schools teach AI fluency. Others teach avoidance. Without intervention, AI will widen the digital divide between students who learn to use it creatively and those who are punished for it.

"Detection doesn't build honesty. Relationships do." – Tim Howes

"If AI can do the task, maybe it's the wrong task." – Tim Howes

"Integrity wasn't working before AI. Generative tools just made the cracks visible." – Bob Hutchins

"Grading the prompt, not the output, reveals the student's understanding." – Bob Hutchins

In this special episode, we pause our usual conversations with educators and leaders to reflect on an essay I wrote, Teaching Humans, Not Machines. For decades, schools trained students to follow procedures, memorize answers, and perform for tests. The irony is that artificial intelligence now does those things better than we ever could.

We look at how systems shaped students to value compliance over curiosity, performance over presence, recall over reasoning—and how that left us vulnerable to disruption. But we also ask a deeper question: what capacities remain irreducibly human?

From attention and intellectual courage to real curiosity and creativity, these are the skills that can't be automated. They're also the very foundation of citizenship and meaningful life. If we want education to serve people instead of machines, we need to reclaim and cultivate them.

The article is here at https://bobhutchins.substack.com/p/teaching-humans-not-machines