AI in the News
A regularly updated, curated overview of the most relevant global developments in artificial intelligence. Each month, it synthesizes key advances with a focus on relevance, impact, and decision-making value.
A regularly updated, curated overview of the most relevant global developments in artificial intelligence. Each month, it synthesizes key advances with a focus on relevance, impact, and decision-making value.
Latest developments in AI policy, governance, and strategic initiatives
Major tech firms continue restructuring around AI, with large-scale layoffs linked to automation and efficiency gains. Over 90,000 tech jobs have already been cut in 2026, highlighting the structural impact of AI on employment.
AI is becoming a mainstream tool in government, with usage among policymakers rising significantly. Around 27% now rely on AI to inform decisions, signaling its growing role in shaping public policy.
The EU is moving to extend its Digital Markets Act to cover AI and cloud providers, targeting market dominance and ensuring fair competition in emerging AI ecosystems
EU lawmakers failed to reach agreement on adjustments to AI rules, particularly around exemptions and industry scope, creating uncertainty ahead of key 2026 enforcement milestones.
Companies are increasingly adopting dedicated governance platforms, such as new enterprise solutions designed to manage AI risk, compliance, and transparency at scale.
Big Tech collaboration with defense institutions is accelerating, with new agreements enabling broader AI deployment despite ongoing regulatory gaps and ethical concerns.
U.S. lawmakers are advancing proposals to regulate AI chatbot interactions for minors, including parental controls and safety-by-default requirements.
South Africa withdrew its national AI policy after discovering AI-generated fake references, reinforcing the need for human oversight in policymaking processes.
Governments are no longer focusing only on AI models, but also on infrastructure, cloud platforms, and market dynamics shaping AI deployment.
From fake policy inputs to enterprise risk tools, the focus is shifting toward reliability, accountability, and operational control of AI systems.
Dashboard generated on
By using this website, you agree to our use of cookies. We use cookies to provide necessary site functionality and provide you with a great experience.
Your message has been successfully sent
Your form has been submitted. Please check your email for a copy of your responses. If you're accepted, you'll receive an email with a link to checkout.