AI infrastructure and professional-services competition
AI competes for infrastructure and scale. Professional services compete on both efficiency and trusted judgment.

Greenland, AI, and the Value of Strategic Position

Greenland returned to the headlines this week after the United States, Denmark, and Greenland signed a new security agreement on September 22. The agreement expands the U.S. military presence and security arrangements in Greenland while leaving sovereignty unchanged.

The geopolitical stakes are specific to the Arctic, but the broader idea is familiar: when a position is strategically important, actors try to secure it before the next round of competition becomes harder.

AI makes that dynamic even more visible. Chips, data centers, electricity, talent, models, and capital all require enormous investment. The Bank for International Settlements reported that the five largest hyperscalers are set to spend more than US$1 trillion on AI-related capital expenditure across 2025 and 2026. BIS also cited industry expectations that global AI-related investment could rise from roughly US$500 billion today to US$3–4 trillion by 2030.

The logic is straightforward. If technical leadership attracts more customers and capital, the leading firms can reinvest in compute, infrastructure, and talent. Once an advantage compounds, the gap can become difficult to close.

The IP Industry Is Running Two Different Races

Intellectual-property services are obviously not operating on the scale of AI infrastructure or Arctic geopolitics. But one competitive mechanism looks similar: once a capability can generate scale advantages, firms that establish the advantage early may find it easier to extend it.

So what is the IP industry competing for?

Two things: efficiency and paid trust in professional judgment.

The first determines who can deliver repeatable work faster and at lower cost. The second determines why a client is willing to rely on one professional rather than another.

Race One: Efficiency

More basic patent work is becoming tool-assisted and standardized. Translation, searching, claim comparison, first-pass Office Action analysis, and patent summaries can all involve AI or workflow software.

Tasks that once required substantial manual time can now be completed faster, and pricing becomes more transparent.

The easier a service is to compare, the more likely price becomes a central competitive factor. If one provider quotes 5,000, another quotes 3,000, and a third offers 2,000—and the client believes the outputs are broadly interchangeable—the obvious question is: why pay more?

Larger organizations often have structural advantages in this part of the market. Higher matter volume can justify deeper process specialization, software procurement, internal tools, and standardized workflows. If prior experience can also be converted—subject to confidentiality and compliance—into templates, structured knowledge, and reusable processes, unit cost can fall further.

In standardized work, the competitive question is therefore increasingly clear: who can use less time and cost to deliver a consistently acceptable result?

Race Two: Professional Judgment

Professional services also contain work that is much harder to standardize.

Consider a U.S. Office Action. AI can quickly organize the references cited by the examiner, summarize what each reference discloses, and even suggest several amendment strategies.

But the difficult question is often not whether a claim can be amended. It is whether the claim should be amended that way.

An amendment may make allowance easier while simultaneously surrendering claim scope that later turns out to carry the invention’s real commercial value.

That is not primarily a drafting problem. It is a judgment problem.

FTO Shows the Same Divide

Freedom-to-operate work illustrates the same point. AI can help generate claim charts and identify candidate patents. But a company still has to decide whether to redesign the product, seek a license, investigate invalidity, change a supplier, or accept a measured level of risk and proceed.

Those decisions do not emerge automatically from matching a handful of technical features.

When should prosecution history be reviewed? When do patent-family members matter? Which technical facts must go back to engineering for confirmation? Which uncertainty is tolerable, and which uncertainty should stop a launch?

Those are questions of professional judgment.

Why Clients Pay More for Judgment

Clients do not pay a premium for this kind of work because the report is longer.

They pay more when they believe the professional is more likely to identify the issue that actually matters, resist an apparently easy but strategically poor answer, and make uncertainty visible before it becomes expensive.

Efficiency answers the question: who can do the work faster and cheaper?

Professional judgment answers a different question: why is the client willing to trust you?

What This Means for Smaller IP Teams

For smaller teams, the main risk is not being small. It is being indistinguishable.

Large firms can use scale, process, and systems to reduce the cost of standardized work. A small team is unlikely to win by imitating that advantage directly.

The more defensible position is to accumulate capabilities that are harder to copy: judgment in complex matters, cross-technical and legal analysis, understanding the client’s real objective, and knowing when a seemingly efficient answer creates a larger downstream problem.

This does not mean efficiency stops mattering. It means efficiency and judgment should not be confused with one another.

Choose the Capability That Compounds with Experience

Greenland is being contested for strategic position. AI companies are competing for compute, talent, infrastructure, and technical leadership.

In IP services, one side of the market is competing for efficiency. The other is competing for the client’s willingness to pay for professional judgment.

A useful strategic test is this:

If a type of work becomes cheaper simply because more of it can be produced, a professional practice should reduce its dependence on that work.

If a capability becomes more valuable as experience deepens—and clients become more willing to pay for the quality of the judgment—that is a position worth occupying for the long term.

Sources & Further Reading