Is the Window of Contestability Still Open?

The first article in this series argued that the institutional order around AI is still forming.

Infrastructure is being built. Platforms are becoming operating layers. Governments and companies are signing contracts, reorganizing work, and deciding which systems will become difficult to live without.

The period before those choices harden is the window of contestability.

The second article argued that an open window matters only when institutions and affected groups have the capacity to act through it.

That leaves a practical problem.

When a new development occurs, how can we tell whether the window is still open?

The answer will not come from one signal, score, or indicator. The arrangements forming around AI are too varied, and their effects often point in different directions. A law may create new authority without the staff needed to use it. An open model may expand choice while remaining dependent on concentrated compute. A platform may offer extraordinary new capacity while making departure increasingly expensive.

What we need is a small set of questions that can be applied to actual events.

In our own analysis, we have begun using six questions:

1. Can we see how AI is being used?
2. Can we see what commitments and dependencies are forming?
3. Can anyone intervene before those commitments harden?
4. Can affected people obtain review, correction, or remedy?
5. Can institutions or users leave without losing their capacity?
6. Is another arrangement genuinely available?

These are evaluation questions, not permanent metrics. They will need to be revised as events reveal new forms of power and dependency.

Their value lies in helping us see how power is shifting in practice, not in the abstract.

Four recent cases show how differently the window can move.

New York Buys Time

In July 2026, the state of New York temporarily paused incomplete state permit applications for new or expanded hyperscale data centers capable of using at least 50 megawatts.

The state did not prohibit data centers. It stopped part of the approval pipeline for a limited set of projects while agencies developed common standards covering grid interconnection, environmental effects, water use, cost allocation, and community benefits. The executive order requires a formal public process, including public comment and a hearing.

That distinction matters.

A pause can be an evasion—government postponing a decision it does not want to make. It can also be a way to prevent a series of private projects from becoming public policy by accumulation.

New York’s action is the second kind, at least for now.

Applying the six questions

1. Can we see how AI is being used?

Partly. The order is directed at large data centers rather than at the AI systems they will support. But it makes clear that very large computational facilities are no longer ordinary commercial developments.

2. Can we see what commitments and dependencies are forming?

More clearly than before. The state has identified electricity, transmission, water, environmental effects, public costs, and community benefits as parts of one connected decision rather than separate technical details.

3. Can anyone intervene before those commitments harden?

Yes. This is the case’s strongest feature. The pause applies before incomplete state approvals are granted. Public institutions are acting while project terms and infrastructure obligations can still be changed.

4. Can affected people obtain review, correction, or remedy?

Potentially. The promised public process creates a route into the decision, although its value will depend on the standards eventually adopted and whether public participation changes them.

5. Can developers or communities leave without losing their capacity?

This question is less central here, but the pause preserves flexibility. Projects can be redesigned, conditioned, relocated, or rejected before public and private investments make those choices much harder.

6. Is another arrangement genuinely available?

Yes. New York can allow data-center development under different cost-allocation, water, grid, reporting, and community-benefit rules. The choice is not simply construction or prohibition.

The read: the window is being preserved

New York has not solved data-center governance.

It has done something more basic and more urgent: prevented the current pipeline from settling the rules before the state writes them.

The window is open because the state has retained time, authority, and alternatives.

Whether it remains open will depend on what New York does with them.

Europe Tries to Reopen Android

A different kind of contestability problem is forming around AI assistants.

As assistants become capable of sending messages, accessing files, controlling devices, shopping, searching, and completing work, the owner of the operating system can determine which assistant works best and which one merely appears in an application window.

In July 2026, the European Commission issued binding measures requiring Google to give qualifying rival AI assistants free and effectively equivalent access to 11 Android hardware and software features. The Commission also required access to certain anonymized Google Search interaction data for qualifying competing search and AI services.

The measures do not prevent Google from developing Gemini or integrating it with Android.

They attempt to stop ownership of Android and Search from deciding the assistant market in advance.

Applying the six questions

1. Can we see how AI is being used?

Yes. The Commission has identified the operating system itself as a source of AI advantage. The problem is not only model quality; it is privileged access to device functions and search data.

2. Can we see what commitments and dependencies are forming?

Yes. If one assistant has superior access to cameras, microphones, notifications, applications, and user context, people may become dependent on it before competitors can offer an equivalent service.

3. Can anyone intervene before those commitments harden?

The Commission has intervened, although not at the beginning. Google already controls the operating system and search infrastructure. The action is an attempt to prevent those positions from determining the next layer of the market.

4. Can affected people obtain review, correction, or remedy?

More than before. The measures are binding and enforceable under the Digital Markets Act. The practical test will be whether rivals can challenge delays, degraded access, or technical restrictions quickly enough to matter.

5. Can users leave without losing their capacity?

The measures should make choosing another assistant more practical. But they do not yet solve the deeper problem of accumulated memory, preferences, permissions, files, and workflow history.

6. Is another arrangement genuinely available?

Potentially. Rival assistants may now be able to compete at the operating-system level rather than as isolated applications. That possibility depends on implementation, not the language of the decision alone.

The read: the window may be reopening

The Commission is not merely slowing concentration.

It is trying to reverse an advantage that had already begun to harden.

That makes this a reopening case.

The result is not guaranteed. Formal access can be undermined by technical design, privacy review, delay, unequal performance, or the inability to move accumulated context.

But the intervention changes the structure of the contest. It creates a legal basis for alternatives that the platform owner might otherwise have been able to exclude.

OpenAI Presence Moves Deeper Into the Institution

A new product called OpenAI Presence shows the window moving in the other direction.

Presence is a managed enterprise platform for building and operating AI agents. It combines OpenAI models with company systems, policies, permissions, testing, monitoring, human escalation, and continuing improvement. The customer decides what an agent may do, which actions require approval, and when a person must take over.

Those are useful capabilities.

They also move OpenAI beyond supplying a model. OpenAI can become part of the machinery through which an organization defines, evaluates, monitors, and improves its workflows.

That is where dependence may become more durable.

Applying the six questions

1. Can we see how AI is being used?

Within the customer organization, probably more clearly than in many improvised deployments. Presence includes policies, permissions, monitoring, testing, and escalation.

From outside, visibility is limited. The public will generally not know which organizations use it or which decisions have been delegated to agents.

2. Can we see what commitments and dependencies are forming?

Only partly. The product description explains what Presence manages. It does not yet establish whether customers can export their policies, evaluations, configurations, action histories, and other accumulated operating context in a form another provider can use.

3. Can anyone intervene before those commitments harden?

Customers can set limits on individual agents. That is real operational control.

The harder question is whether they can impose terms on the platform relationship itself before their workflows and governance systems become deeply integrated with it.

4. Can affected people obtain review, correction, or remedy?

Presence includes human escalation and monitoring. Those are valuable safeguards.

They are not the same as independent review. Much will depend on whether workers, customers, regulators, and auditors can obtain the evidence needed to challenge consequential uses.

5. Can the institution leave without losing its capacity?

We do not yet know.

That is the central question for this case. If the customer can move its policies, evaluations, workflows, connectors, and monitoring history, Presence may build transferable capacity. If those remain embedded in the OpenAI relationship, leaving may mean rebuilding the institution’s AI operating system.

6. Is another arrangement genuinely available?

Other models and enterprise platforms exist. The question is whether they remain genuine substitutes after years of institutional knowledge accumulate inside Presence.

The read: the window is narrowing

Presence does not close the window.

It may produce safer deployments, clearer internal rules, and better human control than organizations would build on their own.

But convenience can become dependence one reasonable decision at a time.

The risk is not simply that OpenAI supplies the model. It is that OpenAI becomes the custodian of the knowledge required to operate and govern the system.

The window narrows as the cost of leaving rises.

Louisiana Builds Around Hyperion

The Hyperion data center in Richland Parish, Louisiana, shows what it looks like when infrastructure commitments begin to approach closure.

Louisiana says the expanded project will exceed $50 billion and reach five gigawatts of compute capacity. The state describes thousands of short-term construction jobs, 1,000 permanent jobs, major contracts for Louisiana businesses, and more than $1 billion in local infrastructure investment.

Those benefits are substantial.

So are the dependencies.

A New York Times investigation found that the state negotiated the project through a code-named Meta subsidiary and under a nondisclosure agreement that went so far as to conceal the negotiations themselves. WWNO later published details of the agreement. Electricity, transmission, water, roads, workforce programs, tax treatment, and other public systems are being reorganized by multiple state and local agencies around one integrated corporate project. Meta could evaluate the complete package. The public encountered it through separate decisions made by separate institutions.

That asymmetry is the heart of the case.

The individual decisions appear to have moved through the legally required processes, but those processes were fragmented across agencies and attracted little public awareness or involvement. By the time the full project and its accumulated commitments became visible, Hyperion had acquired momentum that made meaningful public intervention far more difficult.

Applying the six questions

1. Can we see how AI is being used?

At the broadest level, yes. Hyperion is being built as infrastructure for Meta’s AI ambitions.

The specific workloads, expansion sequence, operating requirements, and long-term public obligations are much less visible.

2. Can we see what commitments and dependencies are forming?

Only in pieces.

The public can see an enormous investment, power requirement, infrastructure program, and promised economic benefits. It has had much less opportunity to examine the cumulative bargain linking subsidies, energy, transmission, water, public services, employment, and later expansion.

3. Can anyone intervene before those commitments harden?

Public agencies retain authority over individual components.

But the integrated decision has moved far ahead. Once a state has reorganized infrastructure, workforce programs, political expectations, and regional development around a $50 billion project, rejecting or substantially changing later phases becomes much harder.

4. Can affected people obtain review, correction, or remedy?

There are regulatory proceedings and public decisions around parts of the project.

What appears to be missing is one institution or process capable of reviewing the complete arrangement and imposing conditions across it.

5. Can Louisiana leave without losing its capacity?

Not easily.

Infrastructure built for a five-gigawatt AI campus is not readily repurposed. Local revenue, employment expectations, utility planning, and public investment can make the state increasingly dependent on Meta completing and continuing the project.

Meta retains greater mobility than Louisiana does.

6. Is another arrangement genuinely available?

At this scale, alternatives are limited.

Few companies can replace a five-gigawatt compute customer or a promised investment of more than $50 billion. As public systems are built around Hyperion, the state’s bargaining position may weaken rather than strengthen.

The read: the window is closing

The Hyperion window is not completely closed.

Later phases still require infrastructure, financing, approvals, and execution. Public disclosure, enforceable cost allocation, parent guarantees, employment commitments, and cumulative review could preserve some leverage.

But the direction is clear.

The project’s scale creates its own political gravity. Each new commitment makes the next one easier to justify and the entire arrangement harder to reconsider.

This is how a window closes without one formal decision announcing that it has closed.

Where Practical Choice Remains

The six questions do not produce automatic answers.

They reveal where practical choice still resides.

New York preserved choice by acting before permits and infrastructure commitments hardened. Europe attempted to restore choice by separating the assistant layer from control of Android and Search. OpenAI Presence may narrow choice by allowing institutional knowledge to accumulate inside one provider relationship. Hyperion approaches closure because an entire network of public and private commitments is being organized around one project before the public can evaluate the whole.

The difference is not whether the underlying technology is useful.

Each case may produce real value.

The difference is whether that value is being built through arrangements that remain visible, challengeable, and replaceable.

These six questions are provisional. Events will show which ones need to be revised, combined, or divided.

But they give us something more useful than an abstract warning that concentration may someday occur.

They let us ask, while the decisions are still being made:

Where does the power sit now?

Who can still change the arrangement?

And how expensive is another path becoming?

Sources and Further Reading

The links embedded above support the principal facts used in each case. The following sources provide additional detail, primary documents, and competing perspectives.

New York data-center pause

• Reuters: “New York becomes first state to impose data center moratorium” — independent overview of the one-year pause and the debate surrounding it.
• New York Executive Order No. 62 — the complete order, including the permitting pause, public process, community-investment framework, and proposed cost protections.

European action on Android and Search

• European Commission: AI interoperability on Android and sharing of Google Search data — official summary of the two binding specification decisions.
• Associated Press: “EU forces Google to share search data and open Android to rival AI companies” — independent account of the decision and its competitive implications.
• Kluwer Competition Law Blog: analysis of the Android interoperability decision — a closer legal examination of what the Commission required and what implementation may involve.

OpenAI Presence

• OpenAI: “Introducing OpenAI Presence” — the product announcement and OpenAI’s description of its policies, permissions, evaluations, monitoring, and continuing improvement process.
• The Wall Street Journal: “OpenAI’s High-Stakes, High-Touch Push to Make AI Work for Business” — reporting on OpenAI’s broader effort to embed its technology and personnel more deeply in enterprise operations.
• VentureBeat: overview of the Presence launch — additional product detail and enterprise context.

Meta Hyperion in Louisiana

• The New York Times: “How Meta Got Everything It Wanted in a Secret Louisiana Data Center Deal” — the principal investigation into the negotiations, secrecy, and fragmented public decision-making.
• The New York Times: five takeaways from the Louisiana deal — a shorter summary of the investigation’s major findings.
• WWNO: “Gov. Jeff Landry personally signed an NDA with Meta. Here’s what it says.” — local reporting on the agreement and a link to the underlying document.
• Louisiana Economic Development: Meta’s $50 billion expansion announcement — the state’s account of the project’s scale, jobs, contracts, and infrastructure benefits.
• Entergy Louisiana: the expanded power agreement with Meta — the utility’s account of generation plans, cost allocation, and projected customer savings.