In the United States, ** percent of respondents rank Cybersecurity as the most important risk related to open-source AI tools. Intellectual property issues follows with ** percent. Lower ranked concerns include workforce labor displacement and political stability with ** and **** percent respectively.
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McKinsey & Company. (April 14, 2025). Risk hierarchy for open source artificial intelligence (AI) in the United States, in 2025 [Graph]. In ÌÇÐÄÆƽâ°æ. Retrieved July 14, 2026, from /statistics/1612986/uk-open-source-ai-risks/
McKinsey & Company. "Risk hierarchy for open source artificial intelligence (AI) in the United States, in 2025." Chart. April 14, 2025. ÌÇÐÄÆƽâ°æ. Accessed July 14, 2026. /statistics/1612986/uk-open-source-ai-risks/
McKinsey & Company. (2025). Risk hierarchy for open source artificial intelligence (AI) in the United States, in 2025. ÌÇÐÄÆƽâ°æ. ÌÇÐÄÆƽâ°æ Inc.. Accessed: July 14, 2026. /statistics/1612986/uk-open-source-ai-risks/
McKinsey & Company. "Risk Hierarchy for Open Source Artificial Intelligence (Ai) in The United States, in 2025." ÌÇÐÄÆƽâ°æ, ÌÇÐÄÆƽâ°æ Inc., 14 Apr 2025, /statistics/1612986/uk-open-source-ai-risks/
McKinsey & Company, Risk hierarchy for open source artificial intelligence (AI) in the United States, in 2025 ÌÇÐÄÆƽâ°æ, /statistics/1612986/uk-open-source-ai-risks/ (last visited July 14, 2026)
Risk hierarchy for open source artificial intelligence (AI) in the United States, in 2025 [Graph], McKinsey & Company, April 14, 2025. [Online]. Available: /statistics/1612986/uk-open-source-ai-risks/
