Goldman Sachs
May 13, 2026
The Economic Risks from Cyberattacks
Macro ThematicMacro Economic IndicatorsOtherInformation TechnologyFinancials
Goldman Sachs estimates that the total economic cost of cyberattacks in the US reached $300 billion (1% of GDP) in 2025. The report highlights how AI is lowering the barriers for sophisticated cyber threats while also offering new tools for automated defense.
Key Takeaways
- 1.The total cost of cyberattacks in the US was estimated at $300 billion in 2025, roughly 1% of GDP, including indirect costs like lost productivity and cybersecurity spending.
- 2.AI models lower the barriers for cybercriminals by automating malware creation, phishing, and vulnerability discovery, potentially favoring attackers over defenders in the near term.
- 3.The frequency and sophistication of attacks are rising, with AI-facilitated attacks reported to the FBI averaging $40k in losses, double the cost of non-AI attacks.
Table of Contents
- Understanding Cyber Risk
- Understanding AI-Related Cyber Risk
- Understanding AI-Related Cyber Security
- Understanding the Macroeconomic Impacts of Cyberattacks
- The US Economic and Financial Outlook
- The US Economics Team
- Disclosure Appendix
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Authors
Jessica RindelsJan Hatzius
Securities
SWIMSFTCZRMGMAllianz
Themes
AI-Powered Cyber ThreatsMacroeconomic Cost of Digital VulnerabilityAttacker vs Defender AI Arms Race
Regions
North AmericaGlobalUnited States
