“I felt a great disturbance in the Force, as if millions of voices suddenly cried out in terror and were suddenly silenced.”

When Obi-Wan Kenobi says this in Star Wars: Episode IV – A New Hope, he senses that something profound just changed in the galaxy. A powerful presence has vanished. The balance of power shifting in ways that will ripple far beyond the immediate moment. As Yoda later describes the Force: “Life creates it, makes it grow. Its energy surrounds us, binds us.” In this way, artificial intelligence (AI) is beginning to play a role for the US Defense Industrial Base (DIB) not unlike the Force itself—quietly enhancing the capabilities of engineers, analysts, and compliance professionals across thousands of organizations supporting national defense programs.

So what could happen if a major AI player suddenly disappears from the board?

In our complex, highly connective technology ecosystem, the sudden removal of any capability provider could create a similar disturbance, one that may not immediately halt operations but could subtly shift the balance of how work gets done across the entire defense supply chain.

The Force Behind Modern Defense Workflows

Across the DIB, there is no escaping that AI tools are increasingly integrated into the day-to-day workflows that support defense programs. Software developers often rely on AI-assisted tools to help generate code structures, analyze unfamiliar libraries, and accelerate documentation. Cybersecurity analysts use AI-supported analyses to help summarize security alerts and investigate anomalies. Compliance teams sometimes rely on AI to help organize the extensive documentation required by federal cybersecurity frameworks.

Much like the Force in the Star Wars universe, these capabilities often operate quietly in the background. These tools are frequently embedded directly into development environments, security platforms, and internal knowledge systems. They enhance the abilities of those who use them but are rarely the center of attention. That is, until one of them disappears.

The Rules of the Galactic Senate—or at Least the Pentagon

Coming as no surprise to most, DIB organizations operate under strict cybersecurity requirements designed to protect Controlled Unclassified Information (CUI) and sensitive defense program data. The primary regulatory frameworks governing these obligations include:

• Federal Acquisition Regulation 52.204-21
• Defense Federal Acquisition Regulation Supplement 252.204-7012, -7019, -7020, -7021
• National Institute of Standards and Technology (NIST) SP 800-171
• Cybersecurity Maturity Model Certification (CMMC) 2.0

These requirements are generally agnostic to technologies contractors choose to implement. Instead, they focus on the data at play, namely CUI; direct the implementation of defined security controls; and report certain cybersecurity incidents affecting that information. So if/when a technology provider disappears from the ecosystem, contractors will need to ensure that the removal of that capability—up and down the supply chain—does not introduce gaps in their security posture or compliance programs. In practice, that can require reviewing vendor relationships, auditing technology dependencies, and ensuring that sensitive data was not transmitted to services that are no longer in play—processes that were unlikely contemplated (or cost-estimated) for when the contract was awarded. But regardless, the regulatory expectations remain unchanged, even when the technological landscape shifts.

Developers Without the Force

Should a large AI player disappear from the board, one of the most immediate disruptions would likely appear in software development environments. AI-assisted coding tools have become ubiquitous productivity enhancers for development teams, assisting them in generating code scaffolding, identifying potential bugs, explaining complex code segments, and producing technical documentation. For organizations developing software systems that support defense programs, these capabilities can reduce development timelines and improve engineering efficiency. Put more directly: They can lower costs.

Removing an AI capability provider—of any size—from the standard ecosystem could lead to development teams needing to adjust quickly. Development environments may need to be reconfigured, alternative tools evaluated, and engineers retrained to work without capabilities they had previously relied on. Sure, development would continue, but some of that invisible assistance that many teams have grown accustomed to would no longer be available.

Security Operations and the Loss of Automation

Security operations centers across the DIB already manage significant volumes of alerts generated by monitoring systems. AI tools are increasingly used to help analysts manage these workloads with AI-supported systems able to baseline, summarize alerts, correlate related events across logs, and help generate initial incident investigation summaries. Here again, if a widely used or relied-on AI capability were suddenly removed from the ecosystem, security teams might lose automation that helped them process alerts more efficiently.

However, despite such a change, the cybersecurity obligations imposed on contractors would not change. Organizations would still need to detect, analyze, and respond to cybersecurity incidents; it may just need to be accomplished through additional manual effort until alternative technologies are implemented. For the DIB, several control families within NIST SP 800-171, including incident response, system monitoring, and flaw remediation, could be indirectly affected by the loss of automation capabilities.

Compliance Documentation and CMMC Preparation

Preparing for cybersecurity assessments within the DIB requires significant documentation. For example, organizations pursuing Level 2 certification under CMMC must develop and maintain materials such as system security plans, risk assessments, incident response documentation, configuration management procedures, plans of action, and milestones. To accomplish this, many compliance teams have begun using AI tools to help organize and draft these materials more efficiently and cost-effectively. The cost of CMMC continues to be a driving concern of the DIB, so should an AI capability provider be ejected from the ecosystem, those teams might need to rely on alternative tools or return to more costly and time-consuming manual documentation workflows. This shift could hamstring assessments, particularly for organizations already working to implement the 110 security controls defined in NIST SP 800-171.

The Other Side of the Infrastructure: Service Providers

Another part of the defense technology ecosystem that could feel the impact lies in the service providers that support contractor environments. Many defense contractors are reliant on managed service providers (MSPs) or managed security service providers (MSSPs) to help operate their IT environments, provide monitoring, manage patching, and support compliance programs. Within the context of CMMC 2.0, these types of organizations are generally categorized as external service providers (ESPs) when they deliver services that support CUI protection.

These service providers often operate centralized platforms that support many contractors simultaneously. Because of that shared infrastructure, technology choices made by these providers can influence a large portion of the DIB. For this reason, some MSPs and ESPs have begun incorporating AI capabilities into their operational platforms to assist with tasks such as ticket triage, vulnerability analysis, security alert summarization, and compliance documentation. Eliminating an AI capability provider could lead to many of those service providers being required to redesign portions of their platforms, with automation workflows needing to be replaced, integrations rewritten, and operational procedures adjusted.

For the contractors relying on those services, the change might be largely invisible at first, but it could introduce transitional complexity, increased operational cost, security risk, or temporary reductions in efficiency while replacement capabilities are implemented.

Uneven Effects Across the Galaxy

The DIB is composed of organizations of vastly different sizes and technological capabilities. Large prime contractors often possess extensive internal engineering resources and may be able to deploy alternative technologies relatively quickly. But smaller and midsize suppliers frequently rely on commercially available platforms to access similar capabilities. If a widely used AI capability was suddenly pulled from the shelf, expect smaller contractors (that also may be subcontractors) to experience greater disruption while searching for replacement tools. Given that many of these organizations are already working to meet the cybersecurity requirements defined in NIST SP 800-171, expect any additional technology disruptions to further complicate their compliance efforts.

Recognizing Disturbances in the Force

The sudden disappearance of a major technology capability highlights an important strategic reality. AI platforms are becoming part of the operational supply chain that supports national defense programs. As these tools become more integrated into development, cybersecurity, and compliance workflows, their availability begins to influence how efficiently organizations can perform essential tasks.

If a major AI capability were suddenly removed from the operational environment supporting defense contracts, contractors and subcontractors should consider the following practical actions:

1. Map where AI capabilities exist in the performance environment. Identify where AI tools are embedded across development pipelines, cybersecurity operations, documentation workflows, and compliance programs. Many organizations discover these dependencies are deeper than initially assumed.
2. Assess operational dependency on the removed capability. Evaluate how critical the AI service was to engineering productivity, security monitoring, vulnerability triage, or documentation preparation. This analysis determines whether the disruption is a minor inconvenience or a material change to the way work is performed.
3. Calculate the cost delta of replacing the capability. Contractors should be prepared to quantify the financial and operational cost of replacing the removed system. This includes tool replacement costs, engineering retraining, workflow redesign, additional labor requirements, and potential impacts to development timelines.
4. Identify alternative solutions. As with the supply chain more generally, be prepared to evaluate whether equivalent capabilities can be obtained through other commercial tools, internally hosted models, or revised manual workflows. Replacement options may vary depending on security requirements and data-handling restrictions.
5. Review dependencies introduced through service providers. Many contractors rely on MSPs or MSSPs. Contractors should examine and determine whether the removed capability is embedded within services delivered by those providers.
6. Document operational impact on contract performance. If the removed capability materially affects how contract work is executed, organizations should carefully document the impact on performance schedules, labor requirements, and technical approaches.
7. Evaluate contractual remedies. When government actions or supply chain restrictions materially change the conditions under which work is performed, contractors may need to evaluate available contract mechanisms. These may include requests for equitable adjustment or other contractual remedies.
8. Consider whether the change alters the nature of performance. In the rare cases where the removal of a capability fundamentally changes the technical approach required to perform the contract, organizations may need to analyze whether the change approaches the legal threshold of a cardinal change.
9. Strengthen supply chain resilience going forward. Contractors should incorporate AI platforms into formal supply chain risk management practices. Federal cybersecurity frameworks increasingly highlight that supply chain resilience now applies not only to hardware and manufacturing components but also to software platforms, cloud services, and AI systems.

In short, as AI becomes embedded in defense workflows, disruptions involving AI providers should be treated as supply chain events. Like any other disturbance affecting the performance environment, contractors should approach them with structured analysis, documented impact assessments, and clear contractual awareness.

Orbiting Alderaan

In Star Wars, the destruction of Alderaan is not immediately visible to everyone in the galaxy. Yet the disturbance it creates is unmistakable. Within the DIB, the sudden disappearance of a major technology capability could create a similar effect. The regulatory requirements remain the same. And the mission remains unchanged: Organizations must still protect CUI, implement NIST SP 800-171 requirements, and assess cybersecurity under CMMC guidelines.

But if the environment in which contractors operate begins to shift, the tools that help them accomplish those tasks may evolve, disappear, or be replaced. And sometimes, before the full impact becomes clear, the only sign that something significant happened is that disturbance in the Force.