Import AI 442: Winners and losers in the AI economy; math proof automation; and industrialization of cyber espionage
AI-enabled cyber offence is approaching 'machine speed' - APS security and governance teams should factor this into threat modelling now.
Key points
- AI systems using general foundation models can now solve advanced mathematics and assist original research.
- Independent testing shows frontier LLMs can generate zero-day exploits, signalling rapid AI-enabled cyber threat escalation.
- A Stanford economist argues AI will exceed the economic impact of electricity and semiconductors - with major risk implications.
Summary
This edition of Import AI covers three developments: AI mathematical reasoning has reached a point where general foundation models can solve competition-level problems and assist original research; independent testing of frontier models (Opus 4.5, GPT-5.2) demonstrates credible exploit generation capability against real vulnerabilities, with the author warning of imminent 'industrialisation' of cyber offence; and a Stanford economic analysis argues AI will be the most transformative technology in history, justifying significant investment in risk reduction. The cyber espionage findings are the most operationally relevant signal for APS agencies.
Implications for Australian agencies
- Monitor APS security and cyber policy teams may want to monitor the trajectory of LLM-assisted exploit generation, as it directly affects assumptions underpinning current cyber risk assessments and incident response planning.
- Consider Agencies involved in AI procurement or risk frameworks could consider whether frontier model capability disclosures (e.g. OpenAI's preparedness framework 'Cybersecurity High' threshold) warrant inclusion in vendor risk criteria.
Implications are AI-generated. Starting points, not advice.
"Import AI 442: Winners and losers in the AI economy; math proof automation; and industrialization of cyber espionage" Source: Import AI – Substack (Jack Clark) Published: 26 January 2026 URL: https://importai.substack.com/p/import-ai-442-winners-and-losers This edition of Import AI covers three developments: AI mathematical reasoning has reached a point where general foundation models can solve competition-level problems and assist original research; independent testing of frontier models (Opus 4.5, GPT-5.2) demonstrates credible exploit generation capability against real vulnerabilities, with the author warning of imminent 'industrialisation' of cyber offence; and a Stanford economic analysis argues AI will be the most transformative technology in history, justifying significant investment in risk reduction. The cyber espionage findings are the most operationally relevant signal for APS agencies. Implications for Australian agencies: - [Monitor] APS security and cyber policy teams may want to monitor the trajectory of LLM-assisted exploit generation, as it directly affects assumptions underpinning current cyber risk assessments and incident response planning. - [Consider] Agencies involved in AI procurement or risk frameworks could consider whether frontier model capability disclosures (e.g. OpenAI's preparedness framework 'Cybersecurity High' threshold) warrant inclusion in vendor risk criteria. Retrieved from SIMS, 18 May 2026.