This executive order is formally about civil-service classification. Substantively, it is about control over the expert layer of government. For copyright owners, the immediate danger...

...is not that copyright law changes overnight. The danger is that the institutions that study, interpret, advise on and operationalise copyright become more politically vulnerable.

Summary: The administration is trying to make senior policy-influencing civil servants easier to remove, arguing this increases presidential accountability but critics see it as politicising the expert layer of government.

The consequence could be weaker institutional independence, loss of expertise, selective enforcement, regulatory instability and more pressure on agencies that shape AI, IP, standards and public-interest policy.

For copyright owners, the lesson is to stop relying on stable government protection alone and build stronger evidence, licensing infrastructure, coalitions, technical rights controls and direct legislative engagement.

The Quiet Rewiring of Government: Why Schedule P/C Matters for Copyright, AI and Rights Owners

by ChatGPT-5.5

The source documents are not just about 8,000 federal workers. They are about who controls the expert machinery of government. In simple terms, the administration is trying to move senior career officials who influence policy into a new employment category called Schedule Policy/Career, or Schedule P/C. These people would still technically be “career” officials, not political appointees, but they would lose key civil-service protections and could be removed much more easily.

That matters because copyright, AI policy, patent policy, standards, enforcement, trade, research funding, platform regulation and regulatory interpretation are not made only by elected politicians. They are shaped every day by senior lawyers, policy advisers, economists, scientists, technical experts, grant officers, standards officials and agency leaders who write reports, interpret statutes, advise Congress, draft regulations, participate in international negotiations and decide how aggressively laws are enforced.

A. What the administration is trying to do, and why

The administration’s stated argument is straightforward: the President was elected to implement a policy agenda, and senior officials who shape or resist that agenda should be accountable to him. The White House order says policy-influencing officials help the President “faithfully execute the laws” and that making them easier to remove is necessary for “democratic self-government.” It also argues that current removal procedures make it too hard to dismiss underperforming or misconduct-prone federal employees.

Translated into plain English: the administration believes too much real power sits with permanent officials who can slow down, dilute, reinterpret or resist the elected President’s priorities. Schedule P/C is designed to make those officials more removable, more responsive and more fearful of defying the political leadership.

The counterargument is equally simple: the civil service exists precisely so that government is not run like a campaign operation or private company. Career protections are meant to stop the government becoming a spoils system where expertise is replaced by loyalty, inconvenient facts are suppressed, and each administration purges the people who tell it things it does not want to hear.

The order is carefully framed as not a return to political hiring. It says Schedule P/C jobs should still be filled on merit, not political affiliation. But the real power shift is not in hiring; it is in firing. If an expert can be removed without the normal appeal rights, independence becomes fragile even if the job description still says “career.”

The appendix makes the scale and seriousness clear. It lists a large number of specific positions across government and says that later renumbering or reorganisation will not remove those jobs from Schedule P/C. That makes the change sticky. It is not merely a temporary personnel reshuffle; it is an attempt to change the status of whole categories of policy-influencing government work.

B. What the consequences can be

The immediate consequence is that around 8,000 federal workers become much closer to at-will employees. NPR reports that most are senior GS-15 officials and that the affected roles include leaders of policy offices, chiefs of staff, regional heads, programme managers, senior public affairs officials and officials overseeing spending and grants. That is not the whole federal workforce, but it is a strategically important layer: the people who translate law and political direction into actual government action.

The first risk is politicisation of expertise. If officials believe their job depends on pleasing political leadership, they may stop giving candid advice. Bad news may be softened. Legal risks may be minimised. Scientific uncertainty may be hidden. Enforcement concerns may be reframed as implementation problems. This is what one of the attached articles captures as the creation of “bubbles around policymakers”: the leader hears less truth because everyone around him has more to lose by telling it.

The second risk is loss of institutional memory. Governments need people who remember why rules were written, how systems actually work, what failed last time, and where legal landmines are buried. If senior career officials are purged or leave voluntarily, agencies do not merely lose headcount; they lose judgment. In complex areas like copyright, AI, public health, national security, financial regulation and research funding, that can produce real-world errors that are difficult to reverse.

The third risk is regulatory whiplash. If every administration can more easily replace or intimidate the senior policy layer, rules become less stable. Businesses, universities, publishers, creators, platforms and researchers may face a system where the meaning of policy changes dramatically with each election. That undermines long-term investment and makes compliance harder.

The fourth risk is selective enforcement. A politicised agency can choose which laws to emphasise, which investigations to slow-walk, which industries to favour, and which harms to ignore. The law on paper may remain unchanged, but enforcement can become transactional.

The fifth risk is litigation and constitutional escalation. Democracy Forward’s statement says the policy is already being challenged in court and argues that it threatens federal-law due process protections and exceeds presidential authority. NPR also frames the fight as likely headed toward the Supreme Court and linked to the broader theory that Article II gives the President very broad control over the executive branch. If courts accept that theory, Schedule P/C could become a template for deeper presidential control over the administrative state.

The sixth risk is public-service degradation. The affected officials are not abstract bureaucrats. The documents and commentary point to people involved in public health, the environment, aviation, public lands, law enforcement, grants, spending, research, telecoms, standards and IP-related policy. If the expert layer becomes unstable, the quality of public services can decline even if no statute changes.

There is also one possible upside, at least from the administration’s perspective: faster implementation. A President who believes the bureaucracy is obstructive will see this as a way to move quickly, discipline underperformance, and align agencies with elected priorities. The problem is that speed and control are not the same as competence or legality. A government can become faster and less trustworthy at the same time.

C. What this can mean for copyright legislation and regulation

The direct copyright angle is subtle but important.

The order does not directly rewrite copyright law. Congress writes copyright statutes. The courts interpret fair use and infringement. The U.S. Copyright Office is housed in the Library of Congress, not in the executive branch. So Schedule P/C does not, by itself, change the Copyright Act.

But copyright law is not shaped only by statutes. It is shaped by reports, regulatory guidance, amicus briefs, agency expertise, international positions, trade policy, enforcement priorities, technical standards and the credibility of expert institutions. That is where the danger lies.

The appendix specifically includes many positions inside the United States Patent and Trademark Office, including senior advisers for patents, international work, trademark policy, patent policy, regulatory affairs, IP litigation, China IP issues and senior IP legal roles. The USPTO does not run copyright, but it is part of the wider U.S. intellectual-property policy infrastructure. It regularly intersects with AI, innovation policy, international IP debates, standards, trade and the patent/trademark side of the same rights ecosystem.

More broadly, the appendix covers policy roles in Commerce, NIST, NTIA, Treasury, health, defence, grants, AI/data roles and other agencies whose work touches AI governance, standards, digital infrastructure and enforcement. For copyright owners, that matters because AI copyright policy is becoming inseparable from data governance, standards, provenance, platform accountability, public procurement, research funding and national competitiveness.

The Copyright Office’s own AI report shows why this is so sensitive. The Office describes the use of copyrighted works in generative-AI training as a high-stakes question: some argue licensing would throttle AI development; others fear unlicensed training will corrode the creative ecosystem. Its report takes a balanced but important position: some AI training uses may be fair use, especially non-commercial research uses that do not reproduce works in outputs, while copying expressive works from pirate sources to generate competing content where licensing is reasonably available is unlikely to qualify as fair use.

That kind of expert, nuanced position is exactly the sort of thing that can become politically inconvenient. If an administration wants a more pro-AI, pro-platform, anti-licensing policy, independent copyright expertise becomes an obstacle. If it wants a more nationalist or punitive IP policy, the same expert layer could be pressured in the opposite direction. The issue is not simply “good for copyright owners” or “bad for copyright owners.” The issue is that copyright policy could become less neutral, less evidence-based and more dependent on who controls the machinery.

The attempted firing of Register of Copyrights Shira Perlmutter is therefore relevant context. AP reported that a federal appeals court temporarily blocked the administration from firing her and described the dispute as a separation-of-powers issue because the Copyright Office advises Congress and sits within the legislative branch. That episode shows that copyright institutions are not insulated from the broader struggle over presidential control, even when they are formally outside the executive branch.

For copyright legislation and regulation, the possible consequences are:

1. AI training policy could tilt more sharply toward technology companies. Future government positions may be more sympathetic to broad fair use, weaker licensing obligations, or voluntary-only frameworks.

2. Expert reports may become less independent. Reports on AI, fair use, digital replicas, provenance, licensing, watermarking or creator compensation could be delayed, softened or reframed.

3. International IP positions may shift. U.S. positions in WIPO, trade negotiations and cross-border AI policy could become more politically driven and less grounded in institutional expertise.

4. Regulatory interpretation may become unstable. Agencies may change guidance or enforcement posture without Congress changing the law.

5. Rights owners may face a more hostile evidentiary burden. If policy shifts toward “AI development first,” creators and publishers may need stronger proof of copying, market harm, substitution, piracy-source use and available licensing markets.

6. Copyright could become part of industrial policy. Instead of being framed as a property, creativity and market-integrity issue, copyright may be reframed as a barrier to AI competitiveness, national security or economic growth.

7. The courts become even more important. If agencies become less reliable, litigation, amicus strategy and judicial precedent become the main battlefield.

D. How those relying on copyright protection should respond

Rights owners should not panic, but they should stop assuming that the administrative state will reliably protect them. The right response is institutional resilience.

First, rights owners should build litigation-ready evidence. That means documenting ownership, chain of title, licensing markets, takedown history, piracy sources, model outputs that reproduce protected works, substitution harms, lost licensing opportunities and technical evidence of ingestion or memorisation. In AI cases, moral outrage will not be enough. Courts will need facts.

Second, they should make licensing markets real, visible and easy to use. One of the strongest arguments against fair use is that reasonable licensing is available and that unlicensed use harms an existing or emerging market. Rights owners should therefore develop clear AI licensing offers, APIs, data products, permitted-use categories, audit terms, provenance requirements and standard contractual language.

Third, they should invest in machine-readable rights infrastructure. That includes rights metadata, opt-out signals, content credentials, provenance tools, watermarking, fingerprinting, crawler controls, dataset registries and auditable licensing records. The policy debate is moving from “do I own this?” to “can machines know, respect, verify and account for this at scale?”

Fourth, they should engage Congress directly. If executive agencies become more politicised or unstable, Congress matters more. Rights owners should not rely only on the Copyright Office, USPTO or agency consultations. They need sustained congressional education, especially around AI training, licensing markets, research integrity, creator compensation, piracy-source laundering and the economic value of trusted content.

Fifth, they should build coalitions beyond traditional copyright groups. Scholarly publishers, news publishers, authors, photographers, music rightsholders, film/TV, academic societies, research institutions and trusted-data providers should align around a common message: copyright is not merely a creator-rights issue; it is part of the trust infrastructure for AI, science, journalism, education and democracy.

Sixth, contracts with AI companies should become much tougher. Any AI/content deal should address training rights, retrieval rights, summarisation, embeddings, retention, sublicensing, model improvement, audit rights, output controls, attribution, deletion, unlearning, security, downstream partners, indemnity and termination. Rights owners should assume that informal assurances will not survive a political or commercial shock.

Seventh, rights owners should diversify geographically. The U.S. remains crucial, but global copyright strategy should also use EU, UK, Canadian, Japanese, Australian and international routes where useful. If U.S. policy becomes more volatile, other jurisdictions may become more important for leverage, transparency and licensing norms.

Finally, rights owners need to change the story. The winning argument is not “AI companies must pay us because we own things.” The stronger argument is: trusted knowledge, lawful data, provenance and accountable licensing are necessary for safe and reliable AI. Copyright is not just a tollbooth. It is one of the few legal infrastructures that can connect creativity, investment, attribution, accountability and market integrity.

Bottom line

This executive order is formally about civil-service classification. Substantively, it is about control over the expert layer of government. For copyright owners, the immediate danger is not that copyright law changes overnight. The danger is that the institutions that study, interpret, advise on and operationalise copyright become more politically vulnerable.

That matters enormously in the AI era. The future of copyright will be shaped by whether governments treat protected works as disposable training fuel or as governed, licensed, attributable knowledge assets. If the expert institutions become easier to pressure, rights owners must respond with better evidence, better licensing infrastructure, stronger coalitions, direct legislative engagement and a much clearer public-interest argument.

The real lesson is this: copyright protection can no longer be treated as a stable background condition. It has to be actively defended as part of the architecture of trustworthy AI, democratic accountability and lawful markets.

Sources consulted: White House Executive Order on Schedule Policy/Career; appendix listing affected positions, including USPTO and other policy roles; Democracy Forward statement; NPR report on the 8,000 affected employees; U.S. Copyright Office AI report and AI initiative page; AP report on the Perlmutter/Copyright Office separation-of-powers dispute.

---