Could CERN Run on AIIM? The Limits of AI Internet-Meritocracy in 2026

Suppose conventional research institutions and grant committees disappeared, while AI Internet-Meritocracy (AIIM) had abundant funding.

Could the scientists and engineers now working at CERN continue operating the Large Hadron Collider through AIIM?

They could probably receive much of their research funding through AIIM. But they could not safely run CERN through AIIM alone.

This distinction identifies an important limit of AIIM.

AIIM is best understood as a proposed funding and reward allocation layer: it attempts to evaluate documented scientific and software contributions and distribute available money accordingly. It is not, by itself, a replacement for every function performed by a laboratory, university, company, government agency, or research consortium. The current AIIM beta is explicitly experimental, and its AI-generated evaluations are heuristic rather than validated measurements of scientific or economic impact.

A useful principle is:

AIIM can potentially replace parts of the scientific funding system without replacing the organizations that actually coordinate complex work.

CERN provides an unusually clear example of why the distinction matters.

What could AIIM do for CERN researchers?

Imagine that AIIM had billions of dollars available every year and that traditional grant committees no longer existed.

Thousands of physicists, engineers, programmers, technicians, and other contributors associated with a CERN-like collider could submit documented work to AIIM. AI systems could evaluate contributions, dependencies, software, publications, detector development, accelerator engineering, data analysis, maintenance work, and other outputs.

Researchers could then receive continuing financial support according to their assessed contributions rather than repeatedly writing grant proposals.

That is close to AIIM’s core purpose as described in the AI Internet-Meritocracy overview.

This might work particularly well for activities such as:

• theoretical physics;
• data analysis;
• scientific software;
• detector algorithms;
• simulation software;
• open-source infrastructure;
• published experimental results;
• documented engineering innovations;
• replication and verification work;
• maintenance of important scientific tools.

It could also address a problem discussed in Funding Research Teams Without Erasing Individual Credit: large collaborations need shared resources, while recognition and economic reward ultimately have to reach individual contributors. Read the article on funding teams and individual credit

AIIM could therefore become one financial layer underneath a CERN-sized collaboration.

But this does not mean that every CERN function should become an AIIM calculation.

A collider is not merely a collection of individually funded scientists

The Large Hadron Collider is a 27-kilometre accelerator consisting of superconducting magnets, cryogenic systems, electrical infrastructure, detectors, computing systems and many other interconnected components. CERN’s current organization includes departments for accelerator systems, beams, engineering, technology, computing, experimental physics, finance, human resources, site operations and other functions.

Those functions require coordination, not merely evaluation.

Consider a simple example.

Suppose AIIM concludes that Alice is an exceptionally valuable accelerator physicist, Bob is an excellent cryogenics engineer, and Carol has written important beam-control software.

Paying Alice, Bob and Carol according to their contributions does not answer questions such as:

• Who decides that the accelerator will shut down on a particular date?
• Who decides which maintenance operation takes priority?
• Who may enter a radiation-controlled area?
• Who has authority to stop an unsafe operation?
• Who signs a billion-dollar procurement contract?
• Who owns the accelerator?
• Who carries legal responsibility after an accident?
• Who decides between two scientifically valuable experiments competing for the same beam time?
• Who coordinates thousands of simultaneous engineering activities?

These are organizational-control problems, not merit-evaluation problems.

CERN’s real governance illustrates the distinction. Its Council approves programmes and budgets, its Director-General manages the laboratory, and specialized departments execute different operational responsibilities. CERN’s official governance overview

AIIM does not eliminate the need for such coordination merely by providing the money.

Safety creates a particularly hard boundary

Large scientific infrastructure can be safety-critical.

During CERN’s current Long Shutdown 3, which began for the LHC in June 2026, the collider is undergoing extensive maintenance and upgrades. CERN describes formal coordination procedures, work authorization, electrical lockouts, territorial safety responsibilities, risk assessments and specialized safety rules.

Recent CERN rules cover areas including pressure equipment, cryogenic equipment and mechanical safety.

An AIIM score should therefore not mean:

This person has produced outstanding research, so they may override the safety officer.

Scientific merit and operational authority are different variables.

A laboratory needs defined chains of responsibility because sometimes somebody must have an unambiguous power to say stop.

This applies far beyond CERN—to nuclear facilities, infectious-disease laboratories, clinical research, spacecraft operations, chemical laboratories and many other fields.

AIIM therefore needs at least three different economic levels

A mature AIIM-like scientific economy could distinguish three layers.

1. Individual contribution funding

This is probably the strongest natural domain for AIIM.

AIIM could compensate researchers, programmers, reviewers, engineers and other contributors according to documented valuable work.

The unit being rewarded is primarily the contributor and contribution.

2. Project and infrastructure funding

Research also requires things that cannot sensibly be divided among individual salaries:

• laboratory buildings;
• telescopes;
• accelerators;
• servers;
• scientific instruments;
• chemicals and materials;
• spacecraft;
• electricity;
• insurance;
• construction;
• computing clusters.

AIIM would therefore need a mechanism for assigning money to shared project budgets, not merely individuals.

The relevant question becomes:

How valuable is maintaining or expanding this shared scientific asset?

This is much more difficult than deciding how much one researcher should receive.

AIIM might estimate the value of a facility or project, but somebody still has to administer the resulting budget.

3. Operational governance

This is where AIIM should probably stop trying to replace institutions.

An operating organization must decide:

• schedules;
• safety procedures;
• hiring for particular operational roles;
• procurement;
• access permissions;
• technical standards;
• emergency procedures;
• responsibility for physical assets;
• legal compliance;
• conflict resolution.

AI could assist these decisions. Blockchain governance might make some decisions more auditable. But funding allocation and operational command should not automatically be the same system.

In the hypothetical world, CERN would probably re-create an institution

This produces an interesting result.

Suppose we abolish CERN as an institution but leave its scientists, engineers, equipment and abundant AIIM funding intact.

The researchers would probably need to establish:

1. an entity that owns or controls the collider;
2. an engineering management structure;
3. safety authorities;
4. project managers;
5. procurement mechanisms;
6. accounting and legal functions;
7. operational departments;
8. procedures for resolving competing demands on equipment.

In other words, they would create something that functionally resembles a research institution again.

It might not resemble today’s bureaucracy. It could be leaner, more transparent, partly decentralized and heavily automated.

But it would still be an organization.

That suggests that the goal of AIIM should not necessarily be abolish research institutions.

A more precise goal is:

Separate scientific funding from unnecessary institutional gatekeeping while retaining institutions where collective action, infrastructure and responsibility require them.

Where is AIIM most applicable?

The applicability of AIIM can be viewed as a spectrum.

Research activity	Potential applicability of AIIM
Pure mathematics	Very high
Theoretical research	Very high
Open-source scientific software	Very high
Literature synthesis and review	High
Data analysis using existing datasets	High
Small independent experiments	High to moderate
Distributed research collaborations	High to moderate
Ordinary university laboratories	Moderate to high, with project budgets
Biotechnology laboratories	Hybrid model needed
Clinical trials	Hybrid model strongly needed
Large telescopes	Hybrid model needed
CERN-scale accelerators	Hybrid model essential
Nuclear facilities	AIIM funding possible; independent operational governance essential
Human spaceflight	AIIM funding possible; centralized mission operations essential

The pattern is straightforward.

The more research resembles intellectual production, the more directly AIIM can operate. The more it depends on scarce shared physical resources, safety-critical operations and tightly synchronized teams, the more AIIM must coexist with organizational governance.

This conclusion is similar to the issue discussed in the Science DAO article on biotechnology: contribution-based funding does not eliminate the need for laboratories, project management, regulatory oversight and substantial financing before results exist. AIIM and capital-intensive biotechnology research

Another limit: science sometimes needs money before merit can be demonstrated

AIIM naturally favors evidence of contribution.

But some research requires enormous expenditure before the important contribution exists.

Nobody could build a future particle collider by saying:

First demonstrate the discovery, and then AIIM will reward you.

The machine must exist before its discoveries can occur.

The same problem appears with:

• new telescopes;
• large clinical trials;
• fusion reactors;
• oceanographic vessels;
• genome projects;
• particle detectors;
• interplanetary probes.

A complete scientific funding architecture therefore needs both ex post reward and ex ante investment.

AIIM may become very good at determining who created scientific value after evidence accumulates. Predicting which billion-dollar project deserves construction decades before its scientific payoff is a separate and harder problem.

Maintenance is another difficult case

Scientific civilization depends heavily on work whose success is almost invisible.

A cryogenic system that works perfectly for ten years produces no spectacular discovery by itself.

A system administrator who prevents a catastrophic outage may produce fewer publications than someone using the infrastructure.

A safety engineer’s greatest accomplishment may be an accident that never happens.

Any contribution-based funding system must therefore avoid equating visible scientific outputs with all valuable scientific work.

AIIM would need to recognize maintenance, reliability, risk reduction, infrastructure and enabling work—not only papers and discoveries.

This is another reason scientific dependency graphs and contribution tracking matter.

AIIM should fund organizations as well as people

This suggests an extension of the model.

AIIM should potentially evaluate not only:

How valuable is researcher X?

but also:

How valuable is shared scientific project Y?

and:

How valuable is infrastructure Z to the rest of science?

An AIIM-funded CERN-like organization might consequently have two parallel money flows:

Individual flow:
AIIM → researchers, engineers, software developers and other contributors.

Collective flow:
AIIM → CERN-like operating organization → accelerator electricity, magnets, construction, detectors, computing and shared operational expenses.

The collective organization would then remain responsible for executing its mission.

This preserves the distinction between rewarding merit and commanding an organization.

This is not a weakness unique to AIIM

Traditional grant committees cannot run the LHC either.

A national funding agency can decide to give CERN money, but the funding agency does not operate superconducting magnets or schedule accelerator maintenance.

Likewise, a bank can finance a factory without manufacturing its products.

A venture-capital fund can finance a company without becoming the company’s engineering department.

The same conceptual separation should apply to AIIM.

AIIM’s comparative question is therefore not:

Can AIIM replace CERN?

It is:

Could AIIM provide a better mechanism for deciding how much funding flows toward CERN, its projects and its contributors?

That is a much more plausible proposition—and one that can eventually be tested.

The general limit of AIIM

AIIM is most applicable where the principal problem is:

Who deserves resources for producing valuable knowledge or infrastructure?

It becomes progressively less sufficient as the principal problem changes into:

Who must coordinate people, assets, risks and irreversible decisions right now?

Those are related problems, but they are not identical.

The distinction provides a practical boundary for AIIM:

AIIM can aspire to become a general scientific capital-allocation system. It should not be assumed to be a universal replacement for organizations.

In mathematics, software and much theoretical work, the institutional layer might become extremely small.

In experimental sciences it will remain larger.

For projects on the scale of CERN, the likely endpoint is therefore not AIIM instead of CERN, but something closer to CERN funded through AIIM: an operational institution responsible for equipment, safety and coordination, embedded inside a much more open and continuous system for allocating scientific money.

That hybrid may actually be a stronger vision of AI Internet-Meritocracy than claiming that one mechanism can solve every problem in scientific organization.