{
  "id": 9255762,
  "title": "AI’s biggest risk is becoming a geopolitical dependency",
  "url": "https://urgent.news/2026/09/23/ais-biggest-risk-is-becoming-a-geopolitical-dependency-9255762",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T03:00:00.000Z",
  "source": {
    "name": "The National Business",
    "slug": "the-national-business",
    "url": "https://www.thenationalnews.com/business/2026/09/23/ais-biggest-risk-is-becoming-a-geopolitical-dependency/"
  },
  "original_language": "en",
  "account": "The most significant threat posed by AI may be its increasing dependence on geographic factors. As AI infrastructure becomes a strategic asset, governments are imposing export controls and other measures to regulate access to these resources. Businesses, in turn, are making the mistake of choosing AI models without considering who ultimately controls them. This trend is prompting senior executives to reconsider whether critical AI workloads should be run on-premise or closer to home, rather than relying on cloud providers. The core concern is dependence on foreign AI platforms, as decisions made by overseas governments could cut off access to essential AI tools. This risk is already evident, as seen when the US administration compelled Anthropic to suspend its advanced AI models, leaving users outside the US without access. However, the disruption was brief, and Anthropic eventually restored the models. Nonetheless, the incident highlighted the potential for rapid interruptions. Governments and companies are now responding to these concerns. Policymakers globally are investing in \"sovereign AI\" – control over data centers, chips, models, and applications that are crucial for economic competitiveness. However, many countries lack credible alternatives, with nearly 90% of compute, AI investment, and leading foundation models concentrated in the US and China. This concentration leaves businesses worldwide dependent on foreign AI, particularly the US. Data security, privacy, and geopolitical risks further complicate the situation. While companies don't necessarily need the most advanced models, they need AI solutions that meet their specific needs and improve productivity. To mitigate risks, companies should maintain flexibility by building optionality into their AI stacks, much like they diversify suppliers in their supply chains or create cyber security measures to avoid single points of failure. Companies with the most options will be best equipped to navigate the geopolitical complexities of AI. Research predicts that one in five cloud workloads will shift from global to local providers by 2027 due to geopolitical risks. Companies are also becoming more selective about where they host different workloads. Airbus, for instance, is moving its most critical applications to a French cloud provider while still using US platforms for less sensitive tasks. Ultimately, securing critical AI infrastructure today becomes crucial if its availability remains uncertain tomorrow.",
  "summary": "AI’s biggest overlooked vulnerability is geography. The infrastructure that powers the technology is becoming a strategic asset that governments increasingly want to curb through export controls and other means. A growing strategic mistake companies are making is choosing an AI model without thinking about who ultimately controls it. That’s why some senior executives are now starting to ask…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The National UAE",
        "title": "AI’s biggest risk is becoming a geopolitical dependency",
        "url": "https://urgent.news/2026/09/23/ais-biggest-risk-is-becoming-a-geopolitical-dependency",
        "published": "2026-09-23T03:00:00.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}