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AIAIGovSpec
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Object of governance · 3 of 4

Infrastructures

What is AI built on, and who controls it?

AI systems depend on compute, data, energy, water, minerals, networks, capital, and human labor. These are not background conditions. They shape who can train systems, who can deploy them, who can audit them, who can bargain with providers, and which countries or communities remain dependent on decisions made elsewhere.

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How infrastructures shape a decision

Access shapes an institution’s options

An institution’s options depend partly on the resources it can access.

AI relies on computing resources, data, networks, electricity, technical skills, and capital. Their distribution shapes who can build, who can adapt, and who must accept someone else’s terms.

Dependence needs alternatives, not just representation

Foreign supply is not automatically a governance failure. Cooperation and specialization can provide valuable capabilities. The practical questions concern information access, bargaining power, data portability, and the ability to replace a service.

Representation in a discussion does not create those abilities by itself.

They require capacity.

Question to carry forward: What are we becoming dependent on—and what alternatives will remain?

Read “Infrastructure: what does this depend on, and who controls it?” in the source article (Google Doc; may require access)
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How the worked analyses answer this object's questions

Releasing a significantly more capable frontier model
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The release depends on concentrated compute and serving infrastructure controlled by the developer and its cloud partners. That concentration is what makes the decision governable at all: compute is detectable and quantifiable, so reporting thresholds are possible. The same fact means only a handful of actors can be in this position.
Licensing an imported AI triage system
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The system depends on the vendor's cloud, on patient data flowing to it, and on models trained on other populations. Who controls that data afterwards, whether the local population and languages are represented, and whether the country can switch vendors are infrastructure questions that determine the ministry's bargaining power.
Adopting an AI shortlisting tool under a risk-based law
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The employer depends on the vendor's model and logs. If the employer cannot access records in a usable form, it cannot answer an applicant or an authority. Data about past hires, and its biases, is the infrastructure the system was built on.
A school decides whether to pilot an AI tutoring tool
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The tool depends on pupils' devices and home internet, the vendor's cloud service, and the data pupils type into it. The vendor controls all but the devices. Pupils without reliable access at home get less of the benefit.
A community organisation deploys a multilingual AI assistant
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The assistant depends on the provider's model and cloud, residents' phones and data plans, and the quality of text in each language that the model learned from. Languages with little online text are likely to be served worse. The provider controls most of this.
A child-safety regulator responds to a companion chatbot teenagers use
05What infrastructure does the mechanism depend on or reshape, and who controls it?
The product runs on the company's models and cloud and reaches teenagers through app stores and phones. App stores and device makers control age ratings and parental controls, which makes them possible points of intervention.

Live debates touching this object

Compute controls: safety lever or power consolidator?

Should governments govern AI through control of advanced compute, given that the same lever concentrates power?

  • Effective intervention point

    Compute is detectable, excludable, and quantifiable, so it offers regulatory visibility and enforcement unavailable elsewhere, provided guardrails limit the risks.

  • Concentration and dependence risk

    Compute controls can centralize power, entrench incumbents, and deepen dependence for countries and communities already excluded from the inputs.

  • Floor before ceiling

    Before restricting access at the top, put a floor under the AI divide through shared compute, data, and capacity, since universal frontier access is unrealistic.

Local-language AI: build our own or adopt global models?

Should communities and regions build their own language technology, or adopt and adapt models built by global developers?

  • Build with communities

    Language technology should be built through participatory research with speakers and local institutions, because the gap is social as well as technical and global models still underperform on many local languages.

  • Adopt and adapt global models

    Large multilingual models trained across hundreds of languages and released openly can reach many languages faster than separate efforts.

  • Pool regional capacity

    Regions can build shared models together through public institutions, so that their languages and culture are represented without each country starting alone.