The Three-Player Innovation Game
Combine state funding, speculative capital, and markets to scale innovation
- Difficulty
- Expert
- Time to result
- ~ongoing to results
- Steps
- 6
- Confidence
- 96%
The Three-Player Innovation Game explains how transformative technologies progress from uncertain science to productive businesses. A legitimate public sector finances upstream research, conducts varied experiments, and acts as an early customer when technology remains too costly or unreliable for normal buyers. Entrepreneurs and speculative investors then explore applications, business models, and scaling paths that no central planner can know in advance. Finally, commercial markets test whether customers value the resulting products enough to sustain them. Each player absorbs a different kind of uncertainty: the state supports strategic exploration, speculative finance funds entrepreneurial trials, and markets provide economic validation. Removing any player weakens the system, particularly in fields such as energy, computing, transportation, and national infrastructure where immediate financial returns cannot justify foundational investment.
Origin
Janeway developed the model from his economics training, venture-capital career, and study of government-supported technologies. He explicitly calls the intersection of government, the stock market, and the market economy a “three player game.”
Core principles
- 01Frontier technologies begin under genuine uncertainty
- 02Government can fund research before commercial value is visible
- 03Early customers help immature technologies reach practical scale
- 04Speculative capital finances experimentation and commercialization
- 05Markets validate which technologies create sustainable economic value
How to run it
- 1
Set a Strategic Mission
Identify a long-term public problem whose solution would create broad economic or social value. Define the mission without pretending to know which specific technology will win.
Pro tip Frame the mission around an outcome, such as reliable clean-energy storage, rather than a favored vendor.
Watch out A mission designed merely to protect an incumbent industry will suppress meaningful experimentation.
- 2
Finance Upstream Research
Fund scientific and technical work before it has a predictable commercial payoff. Spread support across competing hypotheses and institutions.
Pro tip Maintain multiple independent research paths because frontier outcomes cannot be forecast reliably.
Watch out Requiring every research dollar to show immediate commercial or military relevance prematurely narrows discovery.
- 3
Run Intelligent Experiments
Test alternative materials, architectures, and applications under realistic conditions. Use the results to discover practical advantages that theory may miss.
Pro tip Compare scalability and manufacturability as well as theoretical performance.
Watch out Do not confuse the most elegant laboratory result with the most deployable solution.
- 4
Become an Early Customer
Use procurement to support immature technologies while they are still expensive and unreliable. Early orders create learning, production capacity, and operating evidence.
Pro tip Structure purchases to encourage technology transfer and multiple suppliers.
Watch out Permanent dependence on protected procurement can prevent genuine market validation.
- 5
Mobilize Speculative Capital
Let entrepreneurs and investors pursue different commercial applications and business models. Accept that many experiments will fail while a few create disproportionate value.
Pro tip Build portfolios that can survive a highly skewed distribution of outcomes.
Watch out Abundant capital without operating discipline can finance growth that never becomes economically sustainable.
- 6
Validate Through Markets
Determine whether customers will pay enough to support production and continued improvement. Recycle successful learning into the next generation of research and deployment.
Pro tip Track customer cash generation alongside adoption and technical milestones.
Watch out User growth subsidized indefinitely by investors is not final economic validation.
In the wild
After the transistor emerged, IBM favored theoretically superior germanium. Government-backed experiments helped Texas Instruments discover that silicon, though theoretically less attractive, was easier to process at scale. Government orders supported production for missile guidance systems, and an intervention encouraged technology transfer between Texas Instruments and IBM.
→ Silicon achieved practical scale and became a foundational material of the digital economy.
A government defines reliable long-duration energy storage as a strategic goal, funds competing chemical and material approaches, and procures early systems for public facilities. Startups license promising research, private investors fund manufacturing trials, and commercial utilities ultimately select technologies based on reliability and lifetime cost.
→ Uncertain research is converted into commercially validated energy infrastructure.
Common mistakes
Demanding Immediate Payback
Foundational research is abandoned when every investment must demonstrate near-term economic value. The model requires patient strategic funding precisely because future applications are initially unknowable.
Picking One Technology Too Early
Officials can mistake an early theoretical favorite for the eventual practical winner. Diverse experiments preserve the possibility that a less elegant approach will scale better.
Subsidizing Without Market Validation
Public support should enable learning and commercialization, not permanently shield products that customers do not value.
Is it for you?
Best for
It is best for governments, investors, and entrepreneurs developing strategically important technologies with long development horizons.
Not ideal for
It is not ideal for ordinary products that can be financed quickly through customer revenue alone.
From the transcript
“that intersection of government and the stock market and the market economy, which what I call the three player game”
“The whole point is that you need sources of funding that are not focused on immediate economic value, that have a long term strategic purpose.”
“It's the kind of active intervention based on intelligent experimentation we should be doing.”
From the episode
William Janeway on What's Needed for the Innovation Economy
William Janeway