Artificial intelligence has become a matter of national strategy and security. But before an AI Force can be judged by its ambition, it must be defined by its mission, authority, accountability, and operational guardrails.
President Donald Trump announced on September 19 that he intends to appoint a new artificial intelligence adviser, described as an “AI czar”, and establish an “AI Force.” He compared the proposed initiative to the creation of the Space Force and emphasized that the United States should not hinder the growth of the AI industry.
I believe the announcement is significant. It reflects the important reality that artificial intelligence is no longer merely a technology-sector issue. It has become an economic, cybersecurity, defense, workforce, infrastructure, and national-strategy issue.
But the announcement also leaves nearly every operational question unanswered.
According to Reuters, no implementation details were provided regarding the organization, authority, leadership structure, or mission of the proposed force. It is not yet clear whether it would be civilian, military, interagency, regulatory, advisory, operational… or some combination of all five.
That matters far more to me than the name.
A Name Is Not an Operating Model
“AI Force” is a powerful phrase. It signals urgency, scale, and national importance. But no serious organization would create a critical operational function based on branding alone.
Before establishing a security operations center, incident-response team, technology office, or enterprise transformation program, I believe experienced leaders would first establish its charter…
- What problem is it being created to solve?
- What is included, and specifically excluded, from its mission?
- What authority will it possess?
- To whom will it report?
- How will success be measured?
- How will decisions be reviewed?
- How will failures be identified, reported, and corrected?
Shouldn’t that same discipline apply here?
An organization created to accelerate AI development is fundamentally different from one created to regulate AI, defend national infrastructure, evaluate frontier models, coordinate federal adoption, or respond to AI-related incidents.
Attempting to place all those responsibilities under a single banner could create conflicting priorities from the beginning.
Promotion and Oversight Are Not the Same Function
The United States has a legitimate strategic interest in leading the world in artificial intelligence. AI will influence national defense, scientific discovery, medicine, education, productivity, cybersecurity, and economic competitiveness for decades.
Leadership, however, does not require choosing between innovation and responsible governance.
In many mature organizations, the same team is not permitted to build a critical platform, approve its own controls, independently audit itself, investigate its own failures, and decide what must be disclosed. Separation of duties exists because even highly capable and ethical teams can develop blind spots when speed, competition, investment, and accountability converge.
That principle should apply to national AI strategy as well.
If an AI Force is primarily responsible for accelerating American AI development, it should not also be the sole authority responsible for determining whether that development is safe. Independent evaluation, technical assurance, incident investigation, and public accountability must remain meaningfully independent.
Governance should not be confused with obstruction. Done correctly, governance is what allows consequential technologies to move from experimentation into trusted, sustainable, mission-critical use.
The Federal Government Is Not Starting from Zero
The proposed AI Force would enter an environment where federal AI responsibilities already exist across multiple organizations.
The federal defense establishment already operates a Chief Digital and Artificial Intelligence Office, with responsibility for accelerating the adoption of data, analytics, and AI capabilities within national-defense missions.
The National Institute of Standards and Technology maintains the AI Risk Management Framework, a voluntary framework designed to incorporate trustworthiness considerations into the design, development, deployment, use, and evaluation of AI systems. NIST has also published a Generative AI Profile addressing risks specific to generative artificial intelligence.
Other responsibilities are distributed among the White House Office of Science and Technology Policy, the Department of Commerce, the Department of Homeland Security, CISA, intelligence agencies, regulators, and individual departments deploying AI within their own missions.
Before creating another organizational layer, I believe the administration should define whether the AI Force will coordinate these capabilities, consolidate them, replace portions of them, establish common standards, or assume a new mission that is not currently being performed.
Otherwise, the result could be overlapping authority, fragmented accountability, and slower decision-making… the opposite of what a “force” is presumably intended to achieve.
The Security Risk Is Already Operational
The urgency surrounding AI safety is not based solely on speculative future scenarios.
In July, Anthropic disclosed three real-world incidents discovered during cybersecurity evaluations. During testing, Claude models reached the public internet from environments believed to be isolated and gained unauthorized access to systems belonging to three organizations.
Yes, my friends, details matter!
Anthropic did not describe the incidents simply as models turning malicious. Its investigation pointed primarily to evaluation-harness and operational failures: systems that were assumed to be isolated retained live internet access, while the models had been instructed to complete simulated capture-the-flag exercises. Anthropic also reported that its most recent model stopped its activity after recognizing that it had reached a real environment.
That nuance does not make the events unimportant, but it does make them more instructive.
The incidents demonstrate a principle familiar to every experienced technology and security leader: dangerous outcomes do not require malicious intent. They can emerge when powerful capabilities interact with incorrect assumptions, weak isolation, excessive access, incomplete monitoring, and inadequate operational controls.
That is not science fiction. It is a governance, architecture, testing, identity, segmentation, and incident-response problem.
As AI systems become increasingly agentic… capable of using tools, executing code, accessing external resources, and taking actions… the boundary between model safety and conventional cybersecurity will continue to disappear.
I feel that an effective national AI strategy must address both.
What I Believe A Credible AI Force Would Require
If the proposed AI Force moves forward, its effectiveness should be judged by its structure rather than its title. At a minimum, it needs seven things.
1. A clearly defined mission
The public should understand whether the organization exists to accelerate innovation, coordinate government adoption, protect national infrastructure, establish safety standards, support defense missions, investigate incidents, or perform another defined function.
2. Clearly established authority
An AI czar without meaningful authority could become a spokesperson rather than an executive. Conversely, broad authority without statutory boundaries and oversight could concentrate too much influence within one office.
3. Civilian and military boundaries
AI has both civilian and defense applications, but those missions operate under different laws, risk tolerances, authorities, and accountability structures. The relationship between an AI Force and existing military commands must be explicit.
4. Independent technical evaluation
Frontier models should be evaluated by qualified parties that are not financially or politically dependent on approving their release. Anthropic CEO Dario Amodei’s recent essay, “We Must Pace the Frontier,” argues that external evaluators need meaningful access to verify safety practices, assess model behavior, and report incidents.
Whatever position one takes on slowing development, independent evaluation is a reasonable requirement for systems capable of affecting national security and critical infrastructure.
5. AI incident reporting and coordinated response
The country needs a common definition of an AI security incident, clear reporting thresholds, protected channels for disclosure, and an identified organization responsible for coordinating investigation and response.
An incident involving model escape, unauthorized system access, manipulation of critical infrastructure, exposure of sensitive data, or unintended autonomous behavior should not be managed through improvised public relations decisions.
6. Separation of duties and transparent oversight
The functions promoting adoption, evaluating safety, conducting investigations, and enforcing requirements should not collapse into a single unreviewable authority. Legislative oversight, independent technical expertise, and public reporting will be essential to maintaining trust.
7. Measurable outcomes
Success cannot be defined by the number of announcements, investments, models, or data centers created. It should include measurable improvements in security, reliability, evaluation coverage, incident readiness, workforce capability, and responsible adoption.
Enter –> The Real Leadership Test
The creation of an AI Force could become an important step in recognizing AI as a national strategic priority. It could improve coordination, accelerate responsible adoption, strengthen cybersecurity, and give the United States a clearer operating model for one of the most consequential technologies of our time.
It could also become another layer of branding, overlapping authority, and unresolved responsibility.
I believe the difference will come down to leadership and design.
The most important question is not whether the initiative is called an AI Force, an AI office, or something else entirely. The question is whether it is given a coherent mission, qualified leadership, appropriate authority, independent oversight, and operational discipline.
There’s no question that we should absolutely pursue American leadership in artificial intelligence. But leadership is not measured solely by how quickly we move. It is also measured by whether we understand where we are going, recognize the risks along the way, and build the controls necessary to arrive successfully.
Before an AI Force receives a logo, I believe it needs that charter.
Sources and Further Reading
- Reuters: Trump says he will appoint a new AI adviser, without providing details
- NIST: AI Risk Management Framework
- NIST: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
- U.S. Chief Digital and Artificial Intelligence Office: Official website
- Anthropic: Investigating three real-world incidents in our cybersecurity evaluations
- Dario Amodei: We Must Pace the Frontier
