IBM CEO Arvind Krishna states only 2% of its software could be AI-replaced, amid investor concerns over market shifts impacting sales, with future growth optimism.

Reps. Trahan and Obernolte introduce a revised AI regulation bill focusing on risk transparency and accountability, navigating preemption challenges and empowering independent auditors.

Amazon’s new “Lighthouse” initiative integrates AI into Prime Video, enhancing recommendations and personalization, as part of a push to maintain its competitive edge in streaming.

Alphabet’s and Tesla’s shares fell as AI investments raised financial concerns, but leadership remains confident. Both reported positive revenue growth despite increased spending.

Google DeepMind’s Lyria 3 revolutionizes AI-driven music by transforming visual inputs into diverse, high-fidelity tracks with unmatched creative control, marking a new era in musical innovation.

Nearly 200 Silicon Valley startups urge Trump to reconsider restrictions on Chinese AI models, fearing it could harm U.S. tech, while larger firms cite security risks.

Amazon’s AGI division faces layoffs amid continued AI investment, aiming to align with key objectives despite challenges; 30,000+ job cuts post-pandemic hiring surge.

The Trump administration’s Genesis Mission invests $5 billion in AI, focusing on nuclear energy and other critical areas, shifting science funding from institutions to individual researchers.

Reddit shares fell 9% amid talks to end a $60M annual deal with Google over AI content use, reflecting broader media concerns over search-driven traffic losses.

Social platforms balance AI innovation and content quality with strategies to promote genuine talent, while combating low-quality AI content through labeling and enhanced detection systems.

The Fed lacks access to AI model Claude Mythos, used by banks for cybersecurity, raising concerns of vulnerability amidst competitive AI advancements. Efforts to gain access continue.

OpenAI supports Massachusetts Senate AI bill aligned with Illinois laws, while Anthropic backs more stringent House version, reflecting differing approaches to AI safety regulations.