
1- Why The Buzz On Agentic AI
Agentic AI autonomously makes decisions and performs tasks, going beyond traditional AI’s informational role. It scales digital labor, transforming organizations by breaking down silos and shifting management from command to coordination. Human roles will focus more on creativity and strategy, while Agentic AI handles complex problem-solving. This technology is set to revolutionize digital labor and reshape the future of work.
Source: Forbes
2- Crucial Nvidia results to set the course for faltering ‘Magnificent Seven’
Nvidia’s upcoming earnings report is crucial for gauging AI chip demand and could impact artificial intelligence stocks that have driven market growth since ChatGPT’s launch in 2022. Despite significant gains, the “Magnificent Seven” tech giants, including Nvidia, have faced setbacks from competition and market corrections. Nvidia has consistently exceeded expectations but faces slowing revenue growth. Its performance this week is key to restoring investor confidence amid rising competition and volatility in the AI market.
Source: Reuters
3- Scientists develop ‘superhuman’ robotic vision system
PanoRadar, a robotic vision system, uses radio waves and AI to see through smoke, rain, and around corners, enhancing visibility where traditional sensors fail. Developed by Professor Mingmin Zhao at the University of Pennsylvania, it builds 3D views of its surroundings and could aid search-and-rescue operations. It is also being tested for autonomous vehicles to improve real-world perception.
Source: WeForum
4- South Korea’s AI GPU Plan
South Korea plans to acquire 10,000 GPUs in 2025 to strengthen its national AI computing center amid global competition. The initiative follows U.S. export restrictions on AI chips and aims to boost the country’s AI industry. Details on budget and partners will be confirmed by September, with the move also linked to a ban on China’s DeepSeek AI model.
Source: WeForum
5- Life After VMware: Which Alternative Is Right For You?
Over a year after Broadcom’s $61 billion acquisition of VMware, customers face price hikes and restrictive contracts, driving many to seek alternatives. Despite customer dissatisfaction, Broadcom reports record revenues, betting on continued VMware loyalty. However, growing competition from public cloud providers, Microsoft Hyper-V, Red Hat OpenShift, and Nutanix challenges VMware’s dominance. Companies like Rackspace and Beeks Group are migrating away due to high costs. As enterprises prioritize flexibility and multi-cloud strategies, the virtualization market is diversifying, pushing IT leaders to reassess their long-term plans.
Source: Forbes
6- 5 Essential Steps To Prepare Your Business For The Quantum Era
Quantum computing is set to revolutionize industries, and businesses should prepare by taking five steps: 1. Stay Informed: Keep up with advancements to avoid being caught off guard. 2. Plan a Strategy: Identify how quantum can improve business goals like innovation and optimization. 3. Secure Data: Prepare for potential threats to current encryption methods by adopting quantum-safe security. 4. Identify Use Cases: Focus on areas like simulations and optimization where quantum computing offers the most value. 5. Build Partnerships: Collaborate with experts to bridge knowledge gaps and innovate. Early preparation will position businesses for success in the quantum era.
Source: Forbes
7- Top tech companies turn to hydrogen and nuclear energy for AI data centers
ECL, founded by Yuval Bachar, builds hydrogen-powered data centers to reduce carbon emissions and meet rising AI infrastructure demands faster than grid-connected centers. These eco-friendly centers appeal to tech giants like Microsoft and Google aiming for net-zero emissions. ECL plans a 1-gigawatt hydrogen data center in Texas by 2028, despite challenges with green hydrogen production. As AI grows, data centers could consume up to 12% of U.S. energy by 2028, driving the need for sustainable power.
Source: CNBC
8- Google to test using AI to determine users’ ages
Google is testing AI to enforce age restrictions across its products, including YouTube, by estimating whether users are over or under 18. This initiative aims to provide more age-appropriate experiences and enhance child safety, responding to pressure from lawmakers. The AI model will be tested in the U.S. before expanding to other countries. This move follows similar efforts by Meta and reflects Google’s increasing use of AI in its products. The initiative is led by Google’s “Core” Technology team, despite recent layoffs and restructuring within the unit.
Source: CNBC
9- Elon Musk says he’ll drop $97B OpenAI purchase offer if ChatGPT maker stays a nonprofit
Elon Musk offered $97.4 billion to buy OpenAI but said he would withdraw the bid if OpenAI’s board stops its transition into a for-profit entity. OpenAI CEO Sam Altman rejected the offer, suggesting Musk’s move was an attempt to slow down OpenAI’s progress. Musk co-founded OpenAI as a non-profit but left in 2018 after failing to gain control or merge it with Tesla. Altman plans to turn OpenAI’s for-profit subsidiary into a traditional company, which Musk opposes, advocating for OpenAI to remain a non-profit focused on safety and open-source development. Despite Musk’s bid, Altman stated that OpenAI is not for sale and dismissed the offer as a competitive tactic.
Source: FoxBusiness
10- DeepSeek raises new questions for Nvidia and the tech giants that hoard its chips
DeepSeek’s cost-efficient AI model challenged Nvidia’s dominance, leading to a drop in Nvidia’s stock and sparking a shift towards low-cost, democratized AI development. This has intensified competition among AI infrastructure providers like Nvidia, Intel, and major tech companies. Despite accuracy concerns, DeepSeek’s model paves the way for more specialized, affordable AI solutions. Experts expect increased competition and tighter profit margins, pushing existing leaders to adapt. This shift emphasizes the growing need for robust AI infrastructure and validation.
Source: CNBC