Emerging & Infrastructure Models

Picks-and-shovels business

You sell the tools, equipment, or supplies that everyone chasing a hot trend needs, so you get paid regardless of which of them succeeds, like selling shovels to gold miners instead of digging yourself.

  • Intermediate
  • $5K–$25K
  • Low risk
  • 3–6 months to first customer

These bands place this model against the other 171 in the catalog so comparing them works — orientation, not a quote for your situation or your area. Figures that carry a source are on the Examples tab.

  • Asset-heavy
  • Online

Often fits: Curious people who learn fast, tolerate ambiguity, and enjoy being the first competent explainer in the room.

Often doesn't fit: People who want proven playbooks, stable demand, and clear best practices. By definition this model has none yet.

The simple explanation

Every wave of change creates work that didn't exist five years earlier: new tech needs installers and integrators, new rules need compliance help, new platforms need specialists. This model is about arriving early with a real service while incumbents dismiss the niche as too small. The prize for being early is pricing power and reputation; the risk is being early to a wave that never breaks.

A simple hypothetical example

Illustrative — invented to show the shape of the Emerging & Infrastructure pattern. No real company is named, and no figure in it is data. The real, sourced companies for this model are on the Examples tab.

When a new technology category starts appearing in homes and businesses, someone has to install, configure, maintain, and explain it, and for years almost nobody specializes. An operator who becomes "the person" for that category in a region gets referrals from every confused buyer and every retailer with no service arm, at rates generalists can't charge.

A closer look at picks-and-shovels business

A picks-and-shovels business sells the essential inputs to a gold rush instead of betting on which prospector wins. You capture value from the entire boom, and you get paid whether or not any given customer's end product succeeds. The leverage comes from a chokepoint. Nvidia (AI GPUs) and ASML (the only EUV lithography machines) each sit on a bottleneck every downstream player must pay to cross, which is why Nvidia's data-center sales exploded while many AI startups just burned cash. The catch is that the concept only works if you truly control a scarce input, because commodity 'shovels' get competed down to zero. Your demand is also still tied to the boom continuing, so a bust hits the supplier too.

How money moves through this model

Who pays: Early adopters: businesses and consumers wrestling with something new

What they pay for: Competence that is genuinely scarce: setup, integration, compliance, education

What creates profit: Scarcity pricing while supply of specialists lags demand

  • Customer
  • Offer
  • Picks-and-shovels
  • Costs
  • Profit

What makes this model hard

The honest difficulty: timing. Too early and you educate a market that isn't ready to pay; too late and it's a commodity. The niche also shifts under your feet. What's scarce this year is a checkbox next year, so the durable asset is your reputation for being early and competent, not any single service.