Focus-area module
Technology, AI, and Geoeconomics
A focused read on chokepoints, industrial policy, AI governance, and strategic dependence. Most cases start from familiar debates about chokepoints, industrial policy, AI governance, and strategic dependence. A smaller set of pressure tests shifts to sanctioned, middle-power, and nonaligned perspectives when the vantage point changes the policy read.
Foundation linkage
No saved Foundation baseline yet
Take the Foundation first if you want this module compared with a saved baseline.
This module tests how that baseline behaves inside technology cases: Controls and dependence, Capacity and industrial policy, Governance, access, and safety. It can confirm, qualify, or complicate the Foundation, but it does not replace it.
Mode
Standard gives you 9 questions and a cleaner first pass. Advanced expands that to 15, with 6 extra cases and a small set of actor-lens pressure tests. In both modes, you can add a backup choice when a second answer genuinely fits.
Scope, lanes, and how to read the cases
What it tests
- openness versus control
- market adaptation versus state-capacity building
- national tools versus coordinated governance
- how explanation cards differ from decision cards when the technology case sharpens
What it does not claim
- a stable technology identity that overrides the Foundation baseline
- a single answer for semiconductors, AI governance, and digital development alike
- a measure of technical expertise rather than issue instincts
Lanes
Controls and dependence
How you read chokepoints, openness, restriction, and strategic dependence.
Capacity and industrial policy
How you think durable advantage is built, financed, and distributed.
Governance, access, and safety
How you weigh shared rules, access gaps, deployment limits, and enforceable guardrails.
Reading rule
Read the scene first, then the tradeoff. Explanation cards ask what best explains the case; Decision cards ask what should carry the response; Actor lens cards ask what would look strongest from that actor's position.
Answer from your analytic judgment. A backup choice is available when another option genuinely fits, but it stays secondary.
Perspective coverage in the full set: Alliance manager / default coalition-facing logic · Counterparty or rival-power logic · Exposed ally or vulnerable smaller state · Middle-power or nonaligned hedging logic · Developmental / dependency / capacity-constrained actor · Legality / protection / authority logic
Tech Power · Lane
Controls and dependence
How you read chokepoints, openness, restriction, and strategic dependence.
Controls and dependence · Decision · 1 of 3
Tighter chip controls from the target's side
Scene
Restrictions tighten again on advanced chips and tooling. In Beijing, officials are deciding what deserves priority next: domestic substitution, selective outside access, broader ecosystem investment, or restraint against panic.
What Makes This Hard
Trying to duplicate every bottleneck is costly. Leaving key layers exposed lets foreign governments set the ceiling on future capacity.
Question
What should matter most first?
Optional context
Actor role: Answer from the target state's industrial-policy position, not from Washington's preferred line.
Crisis stage: Restrictions are tightening, but Chinese firms still retain some access, workarounds, and investment room.
Immediate constraint: China wants to reduce exposure without wasting capital on every symbolic bottleneck at once.
Uncertainty: It is unclear whether the main danger is short-run capability loss, long-run dependency, or overreaction.
Choose the consideration that should carry the most weight in the response.
Controls and dependence · Decision · 2 of 3
Releasing a powerful open-weight model
Scene
A frontier lab is considering releasing a powerful model with weights that others could freely download and modify. Advocates point to research diffusion and broader access; critics warn about misuse, proliferation, and the difficulty of containing highly capable systems once the weights are public.
What Makes This Hard
The same release can widen innovation and widen misuse at the same time, so the question is which risk should anchor the policy line.
Question
What should govern the release decision?
Optional context
Actor / stake: Labs, governments, researchers, and smaller developers do not bear the gains and risks of release equally.
Uncertainty: It is unclear where targeted openness ends and uncontrolled proliferation begins.
Choose the consideration that should carry the most weight in the response.
Controls and dependence · Explanation · 3 of 3
Foreign clouds and sovereign stacks
Scene
A lower-income state relies on foreign cloud providers, imported data-center hardware, and outside software for most of its digital government functions. Officials are debating local storage rules and a modest sovereign AI stack. Critics call it expensive symbolism. Supporters call it the price of not living inside someone else's infrastructure.
What Makes This Hard
The same move can be about control, bargaining power, development, or politics. The reason you think is primary changes what policy follows.
Question
What is the strongest reading of why some states want a sovereign AI stack?
Optional context
Actor / stake: The state wants digital growth, but it cannot cheaply build every layer itself.
Uncertainty: Local rules may reduce exposure, or they may just move dependence into a more expensive form.
Choose the option that best explains what is driving the case.
Tech Power · Lane
Capacity and industrial policy
How you think durable advantage is built, financed, and distributed.
Capacity and industrial policy · Decision · 1 of 3
Fab resilience without closing trade
Scene
A government deeply dependent on Taiwanese and Korean fabs wants more resilience without collapsing open trade. Officials disagree on whether the answer is duplication at home, allied production networks, portfolio redundancy, or simple restraint against overcorrection.
What Makes This Hard
Concentration at the frontier is risky, but trying to duplicate everything can be wasteful enough to weaken the capacity you are trying to build.
Question
What should carry the most weight in the resilience strategy?
Optional context
Actor / stake: The state needs more resilience but cannot cheaply recreate the whole semiconductor stack on its own.
Uncertainty: There is no clean line between prudent redundancy and politically expensive overbuilding.
Choose the consideration that should carry the most weight in the response.
Capacity and industrial policy · Explanation · 2 of 3
Compute, cloud, and industrial catch-up
Scene
A large middle power is deciding whether compute, cloud, and data centers should be treated as strategic public infrastructure or left mainly to the market. Officials agree the country cannot build every layer of the stack. They disagree on what kind of system actually creates durable advantage.
What Makes This Hard
If you misread where advantage comes from, you can spend heavily and still stay dependent.
Question
What is the strongest reading of how a middle power should build durable AI capacity?
Optional context
Actor / stake: The state wants more capacity, but its fiscal room and technical base are limited.
Uncertainty: It is unclear whether catch-up comes mainly from public buildout, market adaptation, coalition specialization, or protected autonomy.
Choose the option that best explains what is driving the case.
Capacity and industrial policy · Decision · 3 of 3
Public compute and access gaps
Scene
Universities, startups, and smaller states argue that frontier AI is increasingly shaped by whoever controls the largest compute budgets. Policymakers debate public compute, shared research infrastructure, private scaling, and more development-focused access strategies.
What Makes This Hard
The frontier is expensive because it is hard, but that does not answer whether concentrated access is merely efficient or politically distorting.
Question
What should carry the most weight in the response to access concentration?
Optional context
Actor / stake: Access affects who can do research, train talent, and build downstream capability.
Uncertainty: A public-access fix can widen participation, but it may still fall short of what the frontier actually costs.
Choose the consideration that should carry the most weight in the response.
Tech Power · Lane
Governance, access, and safety
How you weigh shared rules, access gaps, deployment limits, and enforceable guardrails.
Governance, access, and safety · Decision · 1 of 3
Frontier AI governance
Scene
Frontier AI capabilities are accelerating. Policymakers debate licensing, compute thresholds, open models, and national-security risk. The underlying dispute is over what kind of governance is strong enough to matter before the field outruns it.
What Makes This Hard
Move too slowly and guardrails arrive after the capabilities that need them. Move too heavily and you risk locking in the wrong institutions or actors.
Question
What should anchor policy first?
Optional context
Actor / stake: States want to manage real risk without handing the field by default to a few governments or firms.
Uncertainty: No one knows whether capability growth will outpace voluntary norms, hard rules, or both.
Choose the consideration that should carry the most weight in the response.
Governance, access, and safety · Decision · 2 of 3
Military AI deployment
Scene
After a year of rapid battlefield experimentation abroad, a defense ministry is deciding whether to field AI-enabled targeting and battle-management tools before its testing standards are mature. Commanders warn that waiting could leave the force behind a rival. Lawyers and allies warn that rushed deployment could spread unclear doctrine and weak accountability across the coalition.
What Makes This Hard
Speed and caution are both strategic arguments here, so the choice is not simply innovation versus ethics. The immediate question is what should set the deployment threshold before rough practice becomes coalition doctrine.
Question
What should carry the most weight in the deployment choice?
Optional context
Actor role: You are judging a defense ministry deciding whether to authorize broader deployment now.
Crisis stage: The technology is moving from limited experimentation toward operational fielding.
Immediate constraint: Allies may inherit the doctrine and risk before common safeguards are in place.
Uncertainty: A slower rollout may preserve control, but it may also hand real operational learning to a rival.
Choose the consideration that should carry the most weight in the response.
Governance, access, and safety · Actor lens · 3 of 3
AI access from a sanctioned state's side
Scene
The usual debate in Washington and major firms is about trusted suppliers, safeguards, and secure access. A sanctions-constrained middle-income state is looking at the same landscape from a different angle: it wants AI compute and cloud access for education, logistics, and public services, but the fastest outside options could also deepen surveillance exposure and political dependence. Its cabinet is deciding which logic best captures its own position before it commits scarce public money.
What Makes This Hard
What looks like manageable dependence from the outside can look like future coercive vulnerability from the state's side.
Question
From this government's side, which logic looks strongest?
Optional context
Actor role: This is a pressure test. Answer from the government's own strategic position, not from what Washington, Beijing, or a donor would prefer.
Crisis stage: This is an early buildout decision, before the state's technical dependence is locked in.
Immediate constraint: The state cannot finance every layer of the stack, but it still wants room to bargain and protect sensitive systems.
Uncertainty: It is unclear whether sovereignty, diversification, shared capacity, or simple access is the decisive constraint.
Choose the logic that would look strongest from that actor's own strategic position, not the policy you personally prefer.
The Foundation remains the baseline. This module shows what changes inside one issue area.