Bill Gates Warns AI Could Cause a Billion Deaths

His warning raises questions about security, regulation and technological control


Bill Gates speaking at Caltech, Pasadena, November 2025. Image: Getty Images / Hans Gutknecht / MediaNews Group / Los Angeles Daily News. Image retained from the supplied RT article; publication rights should be checked


Microsoft co-founder Bill Gates has warned that artificial intelligence could enable catastrophic loss of life if exploited by malicious actors. For New Zealand, his warning raises questions about the security of imported technology, regulatory accountability and the country's ability to protect its critical systems


INR Report: Based on reporting by RT, 25 September 2026, with additional verification from NBC News.

A Warning About the Misuse of Artificial Intelligence

Microsoft co-founder Bill Gates has warned that artificial intelligence could contribute to events causing as many as a billion deaths if powerful systems were exploited by people with malicious intentions.

Speaking to NBC News' Meet the Press in an interview publicised on 25 September 2026, Gates called for government involvement in AI regulation. He argued that technology companies should not be left to determine adequate safeguards without external oversight.

His warning concerns the potential misuse of AI, rather than a prediction that artificial intelligence will independently destroy humanity. The figure of one billion deaths describes a hypothetical catastrophic scenario, not an established probability or a quantified forecast.

The Security Question Behind the Warning

The central concern is the ability of increasingly capable AI systems to amplify human intentions. Advanced tools can accelerate research, analyse enormous datasets and automate complex processes. These capabilities can support scientific discovery, healthcare and economic productivity, but they also create opportunities for misuse.

Gates has specifically raised concerns about the possibility of malicious actors employing AI to assist the development of biological weapons. Such a scenario would involve both technological capabilities and human decisions. His remarks do not establish that current publicly available AI systems can independently produce such weapons or that a catastrophe is imminent.

The distinction matters. Demonstrated risks, emerging technical capabilities and hypothetical worst-case scenarios require different responses. Treating all three as equivalent can obscure the practical security measures that governments and institutions need to evaluate.

Who Regulates the Technology?

Gates argues that governments must participate in establishing safeguards rather than relying exclusively on voluntary industry commitments. His position raises questions about independent testing, security standards, enforcement and the accountability of developers deploying increasingly powerful systems.

However, government involvement introduces its own questions. Regulation can establish enforceable obligations and independent oversight, but poorly designed rules may also create barriers for smaller developers or strengthen the market position of established technology companies.

The relevant distinction is between regulation that addresses identifiable risks and regulation that unnecessarily concentrates technological or institutional power. Effective oversight requires transparency about both the risks being addressed and the powers granted to those responsible for addressing them.

Does This Affect New Zealand?

New Zealand released its first national AI strategy in July 2025. The strategy prioritises adopting and applying AI, rather than competing directly in the development of the largest foundational models. It promotes a relatively light-touch regulatory approach, using existing legislation and international principles to manage risks.

This approach creates opportunities for New Zealand businesses to improve productivity, develop specialised applications and adopt technology without bearing the enormous costs of training frontier AI models. It also means that important decisions about the development and security of foundational systems are frequently made overseas.

For New Zealand, this creates three practical areas requiring attention: the security of critical infrastructure, accountability when AI influences public-sector decisions, and the country's ability to maintain operational resilience when relying on overseas technology providers.

New Zealand's National Cyber Security Centre warned in June 2026 that frontier AI presents a dual-use challenge. More capable systems can strengthen cyber defence while also helping malicious actors conduct attacks faster and at greater scale. Its guidance emphasises established cybersecurity protections, executive accountability and preparedness.

There is also a democratic accountability question. When AI is deployed in public services, New Zealanders need to know when automated systems are being used, how significant decisions are reviewed and which institutions remain answerable for mistakes. Existing public-sector guidance calls for human oversight, transparency and compliance with privacy and other applicable laws.

International cooperation is relevant because threats involving advanced AI can cross national borders. Nevertheless, adopting international standards does not remove New Zealand's responsibility to determine how those standards are implemented domestically or how citizens can challenge decisions affecting them.

From Catastrophic Scenarios to Practical Safeguards

Gates' warning illustrates the potential consequences of powerful technology being exploited for destructive purposes. It does not, by itself, establish the likelihood of a billion-death catastrophe or demonstrate that any particular regulatory model would prevent one.

The immediate policy questions are more concrete: which dangerous capabilities can be demonstrated, what safeguards can be independently tested, who is legally accountable for failures, and how can oversight be structured without creating unnecessary concentrations of power?

For New Zealand, the challenge is to obtain the economic and scientific benefits of AI while maintaining cybersecurity, institutional accountability and the ability to make independent decisions about its use.

Sources

Independent reporting. Original context. Credited sources.

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