AI export controls: Anthropic blocked, what changes for companies

What happened: the sudden shutdown of Fable 5 and Mythos 5

During the week of June 17, 2026, Anthropic found itself dealing with an unprecedented operational crisis. The Trump administration issued an order requiring the company to immediately block access to its most advanced AI models—Fable 5 and Mythos 5—for all non-U.S. citizens. However, the measure had an even broader impact: it also affected foreign users residing in the USA and, according to reports, even some employees of Anthropic itself.

The news was reported in detail by The Verge , citing sources within the company. In a statement posted on its website, Anthropic stated that the government invoked "national security authorities" to justify what is termed an "export control" applied to an AI model. Therefore, as a spokesperson noted in the article, this marks the first time in history that US export controls have been used to restrict access to an artificial intelligence model in this manner.

The administration did not provide a public explanation of the legal basis for the measure. This creates a significant interpretive void. Consequently, companies and developers who rely on these models lack clear parameters to assess the duration or future extent of such restrictions.

The regulatory framework: export controls and AI, uncharted territory

US export controls have traditionally been tools applied to hardware, semiconductors, and physical technologies with potential military or dual-use applications. Agencies like the U.S. Department of Commerce's Bureau of Industry and Security (BIS) have managed these regulations for decades. However, applying them to large language models (LLMs) represents a completely new conceptual extension.

According to the analyses of Brookings Institution , the debate on how to regulate the export of AI capabilities has been going on for years. Despite this, no established framework had yet been applied in such a direct and sudden way to a commercial product. Furthermore, the distinction between an "AI model" and a "software service" is not yet clearly defined in current regulations.

For European businesses, the problem is twofold. On one hand, there is legal uncertainty: it is not clear if and how these restrictions apply to API users accessing from Europe. On the other hand, there is the concrete operational risk of service interruption without notice. In particular, SMEs that have integrated Claude into their automation, customer service, or data analysis workflows find themselves in a position of structural vulnerability.

Immediate impact for those who use Claude and Anthropic models

For Italian companies using Anthropic products — via direct API, integrated platforms, or Claude-based no-code tools — the episode has concrete and immediate implications. First of all, it is necessary to check whether existing service contracts include force majeure clauses or interruptions for regulatory reasons. Many enterprise agreements with US AI providers contain these clauses, but often in a vague form.

Furthermore, anyone who has built critical workflows on Fable 5 or Mythos 5 must now evaluate the resilience of those processes. For example, a company using Claude for automated SEO content generation, contract document analysis, or customer support is exposed to the risk of unplanned downtime. Therefore, diversifying one's AI stack is no longer just good practice: it has become a strategic necessity.

We at SHM Studio We note that many Italian SMEs have adopted a single AI provider without a fallback strategy. This approach, which made sense during the experimentation phase, becomes risky in a context where geopolitical decisions can cut off access to productivity tools in just a few hours. Therefore, reviewing your tech setup is now a concrete priority.

What to do now: three priority action steps

Faced with this scenario, there are concrete actions that companies can take immediately. Here are the three operational priorities that SHM Studio recommends for SMEs using AI models from US vendors.

• Map critical dependencies. Identify all business processes that rely on Anthropic models or other US LLMs. Distinguish between experimental use and production use. This way, you can prioritize mitigation actions effectively.
• Evaluate European or open source alternatives. Models like Mistral (France) or open source solutions like LLaMA, which can be deployed in private environments, now offer competitive performance for many B2B use cases. Furthermore, they reduce exposure to extra-European regulatory risks. Our AI services these include the evaluation and integration of these alternatives.
• Update contracts and internal policies. Review your terms of service with AI vendors. Check for SLAs that cover regulatory outages. Also, update your internal data governance policies to align with the European AI Act, which imposes transparency and control requirements on high-risk AI systems.

Finally, it is advisable to monitor regulatory developments in both the USA and Europe. The European AI regulatory framework is maturing rapidly. Consequently, companies that adopt a structured AI governance today will have an advantage in future compliance.

Strategic outlook: AI geopolitics and digital supply chain

This episode is not isolated. It fits into a broader trend of the weaponization of digital technologies as foreign policy tools. Similarly to what happened with Nvidia chips subject to export restrictions to China, AI models are becoming strategic assets subject to government control.

According to an analysis by MIT Technology Review , the concentration of AI development in just a few U.S. players creates systemic dependencies for the rest of the world. Therefore, geographic diversification of the AI supply chain isn't just a technical matter: it's a choice of digital sovereignty. In Europe, this debate is already underway, but the speed of adopting concrete measures remains insufficient compared to the rapid pace of change.

For Italian SMEs, the practical lesson is clear. Integrating AI tools into business processes must be accompanied by an assessment of geopolitical risk, not just technological or economic risk. Therefore, choosing an AI supplier can no longer be based solely on performance benchmarks or pricing.

The work in progress: outlook for the coming months

The situation with Anthropic is still unfolding. The company is working to restore access to the blocked models, but the timeline and methods depend on negotiations with US government authorities. Therefore, for businesses that rely on these tools, the uncertainty could drag on.

In the medium term, new specific regulatory frameworks for AI models are likely to emerge. Among other things, the US Congress is discussing various legislative proposals regarding AI and national security. Similarly, the European Commission is speeding up the implementation of the AI Act, which will fully come into force between 2026 and 2027.

For companies that want to be proactive, this is the right time to build a more robust AI strategy that is less dependent on single vendors. Our teams of AI consulting , Digital marketing and SEO can support Italian SMEs in this transition. Also, for those considering how to integrate AI into their customer acquisition campaigns, the services of Google Ads and LinkedIn Ads by SHM Studio already offer approaches that combine automation with human oversight.

In short, the Anthropic incident is a wake-up call. Not just for those who use Claude, but for anyone who has built critical processes on AI infrastructure without a resilience strategy. To learn more about how to set up proper AI governance, you can contact our team or explore the related articles in our Blog . Likewise, for those rethinking their digital presence in this context, the services of web development and SEO copywriting can be a concrete starting point.