The Technology Diffusion Ladder
Track a fundamental technology down the ladder to time when businesses become viable
- Difficulty
- Advanced
- Time to result
- ~ongoing to results
- Steps
- 6
- Confidence
- 82%
Helmer's approach to spotting where power opportunities are opening starts with a rapidly advancing technical frontier that changes the possibilities across an entire space. His mental model of how technology flows through an economy is a ladder: it starts with the most gross or macro application and works its way down. Silicon begins as chips, chips work their way into devices, devices work their way into applications. Behind that sits a scientific layer that must be resolved first. The strategic consequence is timing. As a technology descends the ladder, businesses built on it move from impossible to viable at identifiable moments. Netflix could not have streamed at launch because storage and consumer internet did not exist yet; the same company, same idea, became viable once the lower rungs arrived. The signal to watch for is a step change in cost that makes things possible which were never cost justified or time justified before.
Origin
Extracted from Acquired, where Helmer describes genetics as a current area of interest and credits a lunch with his old Yale professor Dick Nelson, a deep thinker on technical change, for sharpening how he thinks about technology flowing through an economy.
Core principles
- 01Fundamental technologies diffuse from macro applications down to specific ones
- 02A business becomes viable at the rung where the enabling cost has fallen far enough
- 03Step changes in cost, not gradual improvement, open windows for power
- 04Being early on the ladder is indistinguishable from being wrong
- 05Science precedes technology, which precedes commercially viable applications
How to run it
- 1
Find the step change
Look for a cost or capability curve that has broken rather than improved. Helmer's example is the collapse in the cost of genetic sequencing, which made experiments possible that were never cost or time justified before.
Pro tip Ask what is now affordable that was prohibitively expensive three years ago.
Watch out Gradual improvement rarely opens a window; step changes do.
- 2
Place the technology on the ladder
Decide whether the technology is still at the scientific layer, the component layer, the device layer, or the application layer. Each rung has a different set of viable businesses.
Pro tip Silicon is the canonical path: chips, then devices, then applications.
- 3
List the enabling layers your idea requires
Write down every lower-rung capability your business depends on. If any is missing, the business is not yet viable regardless of how good the idea is.
Pro tip Netflix needed storage and consumer internet before streaming was possible at all.
- 4
Check whether the science is settled
For frontier areas, confirm the underlying science is resolved. Quantum computing still requires resolving entanglement and related problems before applications are the right question.
Watch out Reviving hope in a field based on new models is not the same as the science being finished.
- 5
Match the rung to a power
Ask which of the seven powers the newly viable business could establish, and whether the flux around the step change gives you the freedom to build it.
Pro tip A technology step change usually creates the flux that makes takeoff-phase powers establishable.
- 6
Keep a live radar of frontier areas
Maintain an ongoing watchlist of fields where the technical frontier is advancing rapidly, then revisit them as lower rungs mature rather than trying to time entry from a standing start.
Pro tip Talk to people who study technical change itself, not only people inside the industry.
In the wild
Netflix could not have launched streaming when it started mailing DVDs. Streaming required storage economics and consumer internet penetration that did not exist. The idea was not wrong; the ladder had not descended far enough. As those lower rungs arrived, the same company executed the same concept and it became commercially viable, then became the basis of a scale-economy power in content.
→ The timing of the enabling layers, not the quality of the idea, determined when the business could exist.
Helmer flags genetics as an area of interest for his fund despite having no insight into therapeutics. The reason is the incredible cost decline in sequencing and adjacent capabilities, which creates the possibility of doing things that were never cost justified or time justified before. He is not picking a drug; he is watching a step change on the ladder and asking which rung becomes viable next.
→ A cost step change is treated as the leading indicator of where new power opportunities open.
Helmer uses quantum computing as the counter-case. Before applications can be discussed, the field has to resolve quantum mechanics and then deal with entanglement and related problems. His read is that we are probably not ready for applications yet, and the same reasoning applies to fusion, where new models have revived hope but the enabling science and engineering are not finished.
→ Correctly placing a technology on the science rung prevents premature application-layer investment.
Common mistakes
Building on a rung that does not exist yet
An application whose enabling components have not descended the ladder fails for reasons unrelated to the idea. Being early and being wrong look identical from the outside.
Confusing scientific excitement with commercial viability
Revived hope in a frontier field is not the same as the science being resolved. Helmer explicitly separates the scientific precursors from the point at which businesses become economically viable.
Watching incremental improvement instead of step changes
Windows for power open when a curve breaks, not when it drifts. Monitoring steady progress produces no timing signal and no flux to exploit.
Is it for you?
Best for
Investors and founders trying to identify where a rapidly advancing technical frontier is about to make new businesses economically viable.
Not ideal for
Markets whose competitive dynamics are driven by distribution or regulation rather than by a moving technical frontier.
From the transcript
“you start with a technology with sort of its most gross or macro application, and then it works its way through”
“first you go straight to where it's chips, it's the chips themselves, and then the chips work the way into devices”
“You look for things like that that are step changes.”
From the episode
7 Powers with Hamilton Helmer