The Imagination Age

Insight

Information was once genuinely scarce. Knowing things gave you power. The market rewarded people who accumulated knowledge and shared it — teachers, experts, consultants, publishers. We built entire industries around packaging and distributing information. And because we produced so much of it, we eventually built machines that could learn from it — prediction engines trained on the entire accumulated output of human knowledge.

That is what AI is. The outcome of abundant information.

And once you understand that, the next step becomes clear. If information is the input to execution — if all a well-defined task really is is information in, processing, information out — then AI solving the information problem also solved the execution problem. You tell it what to do. It reads the task. It thinks. It produces the output. The chain of work that used to require humans at every link now runs autonomously.

Execution is free. Information is free. The bottleneck has moved — all the way up to the layer that was always hardest to commoditize.

Imagination. The ability to envision what doesn't exist yet. To see a problem nobody has named, a connection nobody has made, a future nobody has articulated — and bring it into being.

That is what the Imagination Age means. Not that creativity becomes a nice-to-have. That it becomes the only scarce resource left.

The Deep Dive: You Are the Senses. AI Is the Reach.

AI has been trained on essentially all available data. The open internet has been exhausted as a training source — and continuing to scrape it risks contamination as AI-generated content floods every channel. The next frontier of AI learning is human interaction. What people actually do with AI. What works and what doesn't. What produces real value and what falls flat.

This means something profound about the relationship between humans and AI going forward.

We become the mechanism through which AI learns about the world. We are its eyes, ears, and senses — the part of the system that perceives reality directly, brings genuine experience into the conversation, and provides the feedback that tells AI what is actually true versus what merely sounds true.

AI extends our ability to act on what we imagine. We extend AI's ability to understand what matters.

This is not a metaphor. It is the emerging architecture of how value gets created. The person who brings deep thinking, genuine experience, and honest perception into conversation with AI produces outputs that are qualitatively different from the person who brings shallow prompts and generic ideas. The difference shows up in what gets built — and increasingly, in what gets surfaced and rewarded.

From Appearing Valuable to Producing Value

The attention economy had a structural flaw at its core: it optimized for signals of value rather than value itself. Engagement, follower counts, watch time — these measured how well something performed, not how much it actually helped. The game rewarded the convincing simulation of usefulness over usefulness itself.

AI shifts the signal. When someone uses AI to find a solution, the feedback is binary and honest — did this work or didn't it? Did the person get what they needed? Did they come back? The performance layer gets thinner. What you actually produce matters more than how you present it.

Over time, this extends further than most people have considered. The insights that help the most people rise. The tools that solve the most problems get recommended more. The thinkers whose ideas produce genuine results in the world accumulate a signal that no algorithm gaming can replicate — because the signal is the result itself.

The Furthest Horizon

Here is where the vision extends into territory worth naming honestly as speculative — but directionally important.

The attention economy rewarded performance. You could build an enormous platform on the appearance of happiness, success, or wisdom without possessing any of it. The signal was social — other humans responding to what they saw — and humans are easily fooled by a convincing presentation.

AI, over time, has access to a different signal. Not just what you say, but what your health data shows. Not just how you present, but what the outcomes of your choices actually look like. The gap between values you perform and values you live — between the person you claim to be and the person your life reflects — becomes harder to hide when the signal includes everything, not just what you choose to share.

This points toward something genuinely new: a world where what you actually are begins to matter more than what you perform. Where genuine flourishing — real health, real clarity, real depth of contribution — becomes legible to the systems that surface and reward human value.

Whether the incentive structures move us toward that world or away from it is not yet clear. But the direction is worth pointing toward. Because for the first time, the technology exists to tell the difference.

The final article brings this all together — where we are, where we're going, and what to actually do about it.

In this series

In this series

• 1. We Are Living Through the Biggest Shift Since the Internet

• 2. These are the Last Days of the Attention Economy

• 3. The Conversation Is the Work

• 4. The New Leverage: What AI Makes Possible That Nobody Has Priced In Yet

• 5. Forget Followers. Here Is How Value Actually Surfaces in the Age of AI.

• 6. The Imagination Age

• 7. Skills in the Age of AI: Execution Is Free. Distribution Is Handled. So what’s left?

Talk soon,

Stefan