The article argues that AI governance should focus on affordances—what AI systems enable users to do—rather than just features or capabilities, suggesting this lens better exposes potential harms in enterprise AI deployments. The author contends that the real governance risk in business AI is not rogue chatbots but rather systemic issues related to how AI systems are actually used in practice.
Source: ITWeb
AI industry political action committees spent millions of dollars during the 2026 midterm elections in an attempt to influence congressional outcomes, achieving mixed results. Political groups focused on AI policy are already preparing strategies for the next election cycle. Source: TechCrunch
OpenAI's Chris Lehane has proposed AI-centered policies for the 2028 election, framed as a new social contract intended to benefit Americans while potentially advancing OpenAI's commercial interests. The proposal reflects broader efforts by major AI companies to influence regulatory and political frameworks governing artificial intelligence.
Meta has acquired Conductor, an AI coding startup that enables software engineers to deploy multiple AI agents to work on different project aspects simultaneously. The acquisition represents Meta's continued investment in AI-assisted software development tools. Source: TechCrunch
Open source AI models are gaining adoption among enterprises, governments, and startups due to promised benefits of lower costs, control, and flexibility. The article examines how companies capture value from open source models and discusses competitive dynamics between American and Chinese open source AI players. Source: TechCrunch