(A companion to “Stars owned the past, geeks shall rule the future”)

We used to tell origin stories about heroes: the lone scientist, the general, the industrial titan. Those were the “stars” of the past — individuals whose visibility, power, and control shaped whole industries and eras. That story is ending.

Today, tools have changed the rules of who can be heard. With phones, platforms, and AI, everyone can publish, create, and appear important. That’s a blessing — and it’s a problem.

I don’t blame Generation Z for what we’re seeing. They are the first truly digital-native cohort: born into devices, trained to broadcast, taught to expect immediate feedback. They are not lazy or worse — they are products of a world that teaches amplification more than craftsmanship. The question isn’t “Who’s at fault?” The question is: How do we find the few who will actually change things?

The economic and cultural paradox we live in

A few realities define our moment:

• Tools are democratized. Anyone can create code, art, or video at near-zero marginal cost.
• Distribution is instant. Platforms reward repeatable engagement, not original problem-solving.
• Attention is scarce, but attention metrics reward noise over novelty.
• Technology is accelerating. Moore’s Law and network effects compress learning cycles — skills have shorter half-lives.
• Nominal wealth rises; real resilience often doesn’t. Disposable incomes can increase while personal debt and lifestyle inflation erode real security.

Put simply: we have more creators, but less craft. We have a lot of movement and not enough progress.

Disguised contribution vs. real creation

Call it “digital disguised unemployment.” Many people are extremely busy producing content, process, or noise that looks productive but yields little durable value. The metrics — likes, views, impressions — masquerade as impact. They are not the same.

True change agents are the rare minority who convert tools into inventions, who turn attention into enduring systems. Historically, such individuals were even rarer. Today the denominator (number of creators) is huge, so the fraction that truly creates may feel like it’s shrinking.

But this is not a generational failure. It’s an ecosystem failure: platforms, corporate incentives, and education systems that reward visibility and compliance rather than depth and originality.

Why we should not blame Gen Z

• They did not ask to be born into ubiquitous screens and easy publication.
• They were trained to perform on platforms optimized for engagement.
• They face greater complexity: global competition, faster technical obsolescence, and more opaque career signals.

Blaming them is easy; building systems to surface and accelerate their exceptional members is the real work.

What we must do instead: find, train, and keep the prodigies

If you’re building a company that must win in this environment — an AI-native product, an ad-tech platform, a gaming/IP ecosystem — you need to cultivate a new talent funnel. Here’s how I think about it:

1. Recalibrate the signal you look for

Resumes and polished LinkedIn posts are not enough. Look for:

• Artifacts: published projects, meaningful GitHub repos, design case studies, playable demos, small products that solve a real problem.
• Reading & Reasoning: people who read widely (not just feed content), cite books, models (Moore, Porter, Keynes), and can reason from first principles.
• First-principle evidence: did they build something when no one asked? Did they ship imperfectly and iterate?

2. Hire for hunger, then validate for skill

Hunger is a leading indicator. But hunger must be validated quickly:

• Short, paid apprenticeships or sprints (2–8 weeks)
• Problem-driven take-home assignments that mirror real company work
• On-site evaluations: presence changes behavior; mentorship amplifies learning

3. Apprenticeship over entitlement

Real learning requires proximity:

• Build apprenticeship tracks where juniors work side-by-side with founders and senior operators.
• Measure progression — not time-in-role — via milestones (ship a feature; run an experiment; lead a user study).

4. Create signals inside your organization

You need to become a talent magnet by making your company a place where:

• Learning is public and rigorous (reading groups, design reviews, postmortems).
• Mentors publish what they teach and why.
• The path from apprentice → maker → leader is visible and fast for those who prove capability.

5. Accept that tools will change, but discipline matters

AI will automate many skills. Your advantage is discipline: the ability to choose what to automate, to critique outputs, and to synthesize different knowledge domains.

6. Reward output, not optics

Design compensation, ESOPs, and promotion around real outcomes: product launches, user retention, revenue growth, meaningful prototypes. Teach people how ESOPs work and what they’re worth — then make equity meaningful to those who create value.

Where “geeks” come in

If “stars owned the past,” geeks will rule the future — because the future is built from systems, not spectacle. Systems require patient, cross-disciplinary builders who can understand hardware, code, incentives, psychology, and culture. They will be rare, but they will be decisive.

Your job as a founder, teacher, or recruiter is to find them, give them apprenticeships and frameworks, and then give them the runway to fail, learn, and win.