Artificial Intelligence

Current reading Moderate Risk
History 375 daily observations
Method Curated sources and AI scoring

Artificial Intelligence Risk

3.8 / 5
Moderate Risk +0.1 from previous reading

Current assessment

Today's AI risk is moderate due to geopolitical tensions and influence operations targeting AI policy debates, alongside rapid advancements in AI deployment across various sectors.

Latest run

June 16, 2026

Download Artificial Intelligence risk data .xlsx Complete history · 375 daily observations · Scores · Analysis · Actions · Articles

Trend

Daily score history for Artificial Intelligence.

Risk Drivers

What is pushing the current reading.

The current AI risk landscape is influenced by several factors. Geopolitical tensions, such as PRC-linked influence operations targeting AI debates in the US, highlight the potential for AI to be used in information warfare, which can destabilize international relations and influence policy decisions. Additionally, the rapid deployment of AI in critical sectors like banking and healthcare, as seen with BBVA and AdventHealth, raises concerns about the concentration of power and the potential for misuse if these systems are not properly aligned with human values. The acquisition of AI companies and partnerships, such as OpenAI's acquisition of Ona, further consolidates AI capabilities within a few organizations, increasing the risk of power concentration. These developments, combined with ongoing debates about AI safety and governance, underscore the need for robust oversight and international cooperation to mitigate long-term existential risks.

Risk Reduction Actions

Priority actions generated from the current analysis.

Government

Implement stricter regulations and oversight on AI deployments in critical sectors to ensure alignment with public interest.

NGO

Facilitate international dialogues to address geopolitical tensions and influence operations related to AI policy.

Industry

Develop and adhere to ethical guidelines for AI development and deployment to prevent misuse and ensure transparency.

Academia

Conduct research on AI alignment and safety to inform policy and industry practices.

Public

Advocate for greater transparency and accountability in AI systems to ensure they serve societal needs.

Sources Monitored

Visible feeds used in this category's nightly run.

Selected Articles

Supporting articles referenced in the latest score.