🏛️ Europe delays AI guidelines roll‑out
The European Commission has delayed publishing its “Code of Practice” for the AI Act, originally due early 2025, to later this year. This non-binding code was intended to help major AI developers (like OpenAI, Meta, and Google) prepare for upcoming requirements under the AI Act. Companies reportedly requested more time to align their safety evaluation and risk management practices. While this delay applies to the voluntary code, the AI Act’s mandatory deadlines (Aug 2025 for general-purpose AI, Aug 2026 for high-risk systems) remain unchanged.
👉 Read more
📰 Publishers challenge Google’s AI summaries
Several major European news publishers have initiated legal action against Google, claiming its “AI Overviews” violate copyright laws and redirect user traffic away from their websites. These AI-generated summaries often provide complete answers to search queries, reducing the need for users to click through. The suit could have global implications on how generative AI platforms interact with journalism and content ownership, especially in regions with strong copyright enforcement.
👉 Read more
🏛️ U.S. Senate scales back AI preemption
Originally, a proposed federal bill aimed to block states from creating their own AI regulations for the next 10 years. But amid opposition from civil rights groups and state lawmakers, the ban was trimmed to 5 years and made more flexible. Exceptions were added for state laws addressing children’s rights, biometric privacy, and workplace surveillance. The move signals a compromise between Silicon Valley's lobbying and states' rights to experiment with tech oversight.
👉 Read more
📉 AI‑triggered layoffs continue
So far in 2025, nearly 94,000 tech jobs have been lost due to automation, averaging over 500 layoffs per day. While some roles (like backend development or marketing ops) are being phased out, demand is soaring for AI engineers, prompt designers, and data governance specialists. Analysts say this workforce reshuffle could worsen inequality if reskilling doesn’t keep pace.
👉 Read more
🇺🇸 Texas enacts sweeping AI law
Texas passed a landmark bill imposing stringent transparency requirements on public and private AI deployments. The law mandates algorithmic impact assessments, risk disclosures, and third-party audits for high-stakes AI use (e.g., hiring, healthcare, policing). This puts Texas in the spotlight as a state taking proactive steps, potentially influencing legislation across other conservative-leaning states.
👉 Read more
🧠 OpenAI teases GPT‑5
OpenAI confirmed that GPT‑5 will unify multiple AI capabilities, combining long-term memory, multimodal input (text, vision, possibly audio), and improved logical reasoning into one system. Unlike earlier releases, GPT‑5 will be trained with regulatory compliance, red-teaming, and synthetic oversight embedded in its architecture from day one. Beta release is expected by Q4 2025.
👉 Read more
💸 Meta’s $14.8B AI infrastructure bet
Meta’s colossal investment in AI infrastructure this year includes the construction of new data centers, procurement of high-end Nvidia GPUs, and expansion of its in-house Llama models. Critics question whether the demand for AI-generated content can justify the spending, especially with ad revenue under pressure and regulatory scrutiny rising in both the U.S. and EU.
👉 Read more
🌐 Big Tech partners with nuclear energy
Microsoft and Google are forming partnerships with nuclear providers to power their data centers sustainably. With AI models consuming unprecedented electricity, sometimes megawatts per day per model, this marks a shift toward “clean AI.” Some critics warn of greenwashing, while others hail it as a blueprint for energy-hungry industries.
👉 Read more
🏭 Foxconn reports strong AI‑server sales
Foxconn’s cloud computing division posted a 15% year-over-year revenue increase, largely thanks to demand for AI servers using Nvidia’s latest chips. With major clients including AWS, Microsoft, and ByteDance, Foxconn’s AI segment is now rivaling its core iPhone business in profitability.
👉 Read more
🤖 Elon Musk's xAI plans GPU power plant
xAI, Elon Musk’s AI startup, is building a massive offshore power facility to supply the energy needed for training models with over 1 million GPUs. The project, likely located in either Canada or Iceland, underscores the physical and logistical limits of hyperscaling AI models with current energy grids.
👉 Read more
⚕️ AI warns of grad unemployment spike
AI is rapidly replacing entry-level white-collar jobs, hitting new graduates the hardest. Roles like customer support, research assistants, and junior analysts are vanishing. Universities are under pressure to adapt curricula, while labor advocates push for policies like Universal Basic Income (UBI) and publicly funded reskilling.
👉 Read more
🤖 AI agents stumble in real life
Despite strong performance in simulation environments, autonomous AI agents are failing in real-world applications. Retail pilot tests revealed high failure rates in inventory management, POS systems, and customer service interactions, often due to unpredictability, physical edge cases, and lack of contextual reasoning.
👉 Read more
📦 Amazon & Walmart go all‑in on AI
Amazon and Walmart are locked in a high-stakes AI arms race, automating supply chains, tailoring dynamic pricing, and launching hyper-personalized recommendation engines. Walmart is investing in in-house models, while Amazon leans on partnerships and infrastructure scale. The competition could reshape global e-commerce logistics.
👉 Read more