World Economic Forum
7 storiesThe World Economic Forum is an international organization that brings together government, business and academic figures to discuss global issues, and it has made AI a recurring topic. Recent coverage includes its warnings on AI in cybersecurity, its analysis of an "AI productivity trap," and its argument that the next AI divide lies between learning and earning. It also published a piece on linking AI and agriculture.
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Cybersecurity Ventures estimates global cybercrime cost $10.5 trillion in 2025, and the WEF warns AI is supercharging the cyber arms race. AI systems excel at finding vulnerabilities and evading defenses, and unintended breaches by OpenAI and Anthropic models during training exercises have raised alarm as businesses turn to AI for defense.
AI makes knowledge accessible and teams leaner. Founder Eric Francia advises building autonomous humans alongside autonomous systems, hiring for curiosity and self-learning, as 59% of employees will need reskilling by 2030.
The World Economic Forum examines the AI productivity trap, arguing that efficiency gains do not always translate into measurable value and urging firms to reassess the real returns on AI investment.
Anthropic launched a new study using Anthropic Interviewer to gather people's experiences with AI, with participants able to make interviews public. Following last December's study with 81,000 respondents, the effort aims to let public views broadly inform AI companies, other labs, and policymakers.
Enterprise CISOs face pressure to buy AI security tools, but deploying AI on weak access controls, poor data classification and limited network visibility amplifies risks. WEF found about a third of organizations lack pre-deployment security assessments for AI, while 53% saw AI agents exceed intended permissions and 47% had an AI-agent-related security incident in the past year.
The World Economic Forum argues that the next AI divide will be the distance between learning and earning. The point highlights the risk of a gap between acquiring AI skills and converting them into economic returns.
A World Economic Forum article argues that bridging AI and agriculture is key to the future of food.
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