AI export controls: Anthropic blocked, what changes for businesses

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

In the week of June 17, 2026, Anthropic found itself managing 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-US citizens. The measure reached even further, however: it also hit foreign users living in the US and, according to reports, even some Anthropic employees.

The story was reported in detail by The Verge, which cited sources inside the company. In a statement published on its website, Anthropic said the government invoked “national security authority” to justify what is described as an “export control” applied to an AI model. As a spokesperson quoted in the article observed, this is the first time in history that US export controls have been used to restrict access to an artificial intelligence model in this way.

The administration has not given a public explanation of the legal basis for the measure. This creates a significant interpretive gap. As a result, companies and developers that depend on these models have no clear parameters for judging how long such restrictions will last or how far they might extend.

The regulatory picture: export controls and AI, uncharted territory

US export controls have traditionally been applied to hardware, semiconductors and physical technologies with potential military or dual use. Bodies such as the Bureau of Industry and Security (BIS) of the US Department of Commerce have administered these rules for decades. Applying them to large language models (LLMs), however, is a completely new conceptual leap.

According to analysis from the Brookings Institution, the debate over how to regulate the export of AI capabilities has been going on for years. Even so, no established framework had ever been applied so directly and so suddenly to a commercial product. What's more, the distinction between an “AI model” and a “software service” is not yet clearly defined in current regulations.

For European companies, the problem is twofold. On one hand, there is legal uncertainty: it is unclear whether and how these restrictions apply to users accessing the models via API from Europe. On the other, there is the very real operational risk of service being cut off without notice. SMEs that have integrated Claude into their automation, customer service or data analysis workflows are in a particularly vulnerable position.

Immediate impact for Claude and Anthropic model users

For Italian companies that use Anthropic products, whether through the direct API, integrated platforms or no-code tools built on Claude, this episode has concrete and immediate implications. First, you need to check whether your current service agreements include force majeure clauses or provisions for interruption due to regulatory reasons. Many enterprise agreements with US AI providers contain such clauses, but often in vague terms.

Also, if you have built critical workflows on Fable 5 or Mythos 5, you now need to assess how resilient those processes are. For example, a company that uses Claude to generate SEO content automatically, analyze contracts or support customers is exposed to unplanned downtime. Diversifying your AI stack is no longer just good practice: it has become a strategic necessity.

At SHM Studio, we see that many Italian SMEs have adopted a single AI provider with no fallback strategy. That approach, understandable during the experimentation phase, becomes risky in a world where geopolitical decisions can cut off access to productive tools within hours. Reviewing your technology architecture is now a real priority.

What to do now: three priority actions

Faced with this scenario, there are concrete steps companies can take right away. Here are the three operational priorities SHM Studio recommends to SMEs that use AI models from US providers.

• Map your critical dependencies. Identify every business process that depends on Anthropic models or other US LLMs. Distinguish between experimental use and production use. That 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 deliver competitive performance for many B2B use cases. They also reduce your exposure to non-European regulatory risk. Our AI services include evaluating and integrating these alternatives.
• Update your contracts and internal policies. Review the terms of service with your AI providers. Check for SLAs that cover regulatory interruptions. Also update your internal data governance policies to align with the European AI Act, which sets transparency and oversight requirements for high-risk AI systems.

Finally, it's worth monitoring regulatory developments in both the US and Europe. The European regulatory framework on AI is maturing fast. As a result, companies that put structured AI governance in place today will have an edge in future compliance.

The strategic view: AI geopolitics and the digital supply chain

This episode is not an isolated one. It is part of a broader trend of “weaponizing” digital technologies as tools of foreign policy. Much like the Nvidia chips subject to export restrictions to China, AI models are becoming strategic assets under government control.

According to an analysis by MIT Technology Review, the concentration of AI development in a handful of US players creates systemic dependencies for the rest of the world. Geographic diversification of the AI supply chain is therefore not just a technical matter: it is a choice about digital sovereignty. In Europe this debate is already under way, but concrete measures are still being adopted too slowly compared with the pace of change.

For Italian SMEs, the practical lesson is clear. Integrating AI tools into business processes must go hand in hand with an assessment of geopolitical risk, not just technological or economic risk. Choosing an AI provider can no longer rest solely on performance benchmarks or pricing.

The open question: what to expect in the coming months

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

In the medium term, new regulatory frameworks specific to AI models are likely to emerge. Congress is already debating several legislative proposals on AI and national security. Likewise, the European Commission is accelerating the implementation of the AI Act, which will come fully into force between 2026 and 2027.

For companies that want to be proactive, now is the right time to build a stronger AI strategy that depends less on any single vendor. Our AI consulting, digital marketing and SEO teams can support Italian SMEs through this transition. And if you're weighing how to bring AI into your lead generation campaigns, SHM Studio's Google Ads and LinkedIn Ads services already offer approaches that combine automation with human oversight.

In short, the Anthropic episode 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 on our blog. And if you're rethinking your digital presence in this context, our web development and SEO copywriting services can be a concrete starting point.