4 min read

The Real AI Divide: Discernment Versus Speed

The leaders getting left behind aren't refusing AI. They're using it for everything, including the decisions that need their own judgment.
The Real AI Divide Discernment Versus Speed
Photo by Tanya Barrow on Unsplash

In March 2023, a guy named Jackson Greathouse Fall went viral on Twitter. He gave GPT-4 100 dollars and asked it to make as much money as possible. The AI's winning suggestion: build an affiliate marketing website.

Thousands of people followed his lead. The thread exploded. "AI entrepreneurship" became a category overnight.

I watched the whole thing unfold and asked the question nobody else seemed to be asking: "He didn't say how much of his own time he invested. Is the juice worth the squeeze?"

Around the same time, a Hong Kong company appointed an AI as its CEO. The stock price went up.

I drew a line that spring: "An AI with the power to make decisions about human lives is where I draw the line."

3 years later, that line hasn't moved. If anything, the ground has shifted enough to prove why it matters.

The Divide That Actually Matters

In early 2023, I wrote that over 3.3 billion existing users were about to get access to generative AI inside the work apps they already knew. Microsoft was baking Copilot into Office. Google was embedding Gemini into Workspace. Slack, Notion, Salesforce: everyone was shipping AI features.

By 2024, the access problem was solved. Everyone had AI. The question shifted from access to application.

The leaders who adopted AI for everything, including the decisions that required their own judgment, started making worse decisions faster. They were delegating discernment to machines that don't have any.

The leaders who understood the distinction between tasks AI should handle and decisions only a human can own? They pulled ahead. Not because they were more technical. Because they were more clear about what mattered.

I wrote this in 2023: "I love outsourcing tasks I don't want to do, but will never outsource my opinion on something important to me or my family."

That distinction is now the competitive advantage.

The divide that matters runs between leaders who know which questions to hand to a machine and leaders who know which questions to never let go of.

Discernment. That's the word. And you can't automate it.

What "We the People" Build Differently

Something I wrote in 2023 has played out in ways I didn't fully anticipate: "When 'we the people' have the ability to build with AI outside of the Big Tech ecosystem, this creates opportunities for new principles, products, and communities."

Open-source AI models have given entrepreneurs, creators, and small teams the ability to build tools that reflect their values instead of Silicon Valley's engagement metrics. Communities are forming around AI use that prioritizes depth over speed, quality over volume, discernment over optimization.

This matters because the people building AI have powerful incentives for you to use it and get hooked. The business model rewards time spent, not time well spent. We've been here before with social media.

The leaders navigating this well use AI aggressively for the work that doesn't require their soul. They protect the work that does.

The Discernment Filter

Three categories for every decision in your work:

Category 1: Delegate to AI entirely. Data processing. Scheduling. First drafts. Research compilation. Formatting. Anything where speed matters more than soul.

Category 2: Partner with AI. Strategy development. Communication drafting. Brainstorming. AI gives you a starting point; you bring the judgment, the context, the relationships, the values. AI drafts; you decide.

Category 3: Never hand to AI. Values-based decisions. Relationship-defining moments. Conversations where someone needs to feel your presence, not your efficiency. Anything where your gut says "this matters too much."

Review your last week and categorize your AI usage. Be honest. Where did you hand off something that belonged in Category 3?

Most leaders I work with discover they've been treating Category 3 decisions as Category 2 because AI made the handoff feel easy. The ease is the trap. Just because AI can generate a thoughtful response doesn't mean it should.

Is the juice worth the squeeze? That question landed in my journal in 2023. It's become the most reliable gut-check I know. When something feels efficient but hollow, when you've saved 20 minutes but lost the thread of why the work mattered: that sensation is your body telling you this decision needed you.

The discipline of 2026 is knowing, in your bones, which questions are yours to answer.

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