Artificial Intelligence
-
Microsoft to Invest $4 Billion in Second Wisconsin Data Center
Microsoft is investing $4 billion in a second Wisconsin data center, following a $3.3 billion initial commitment. The Mount Pleasant facility, equipped with Nvidia Blackwell GB200 GPUs, will support demanding AI workloads, addressing the growing demand for AI processing power. This expansion comes amidst a global scramble for cloud infrastructure driven by AI adoption. Microsoft aims to match energy consumption with carbon-free sources, including a 250-megawatt solar farm. The data centers’ power requirements exceed 900 megawatts, but Microsoft aims to avoid inflating local energy costs. Wisconsin is poised to become a major AI hub.
-
Amazon Unveils AI Agent to Streamline Seller Tasks
Amazon has upgraded its Seller Assistant, an AI agent for third-party merchants, with new “agentic capabilities” allowing it to execute actions with seller permission. This enhances operational efficiency, freeing sellers for strategic tasks. The tool, leveraging Amazon’s Bedrock, can manage inventory, create growth plans, and resolve account issues, potentially preventing suspensions. Over 1.3 million sellers use its listing tools, automating up to 70% of content. Amazon earns revenue from seller services, not direct AI tool charges, indicating a focus on platform enhancement and seller growth.
-
Is the Humanoid Robot Industry on the Verge of a ChatGPT Moment?
Humanoid robots, driven by AI and robotics advancements, are generating excitement, with some suggesting a “ChatGPT moment” is imminent. Companies like Tesla and emerging Chinese startups are developing robots for manufacturing, logistics, and other sectors. While experts anticipate significant global economic impact, widespread adoption faces technological, manufacturing, and regulatory hurdles. Ethical considerations and clear operational guidelines are also critical. Analysts predict increasing robot shipments, but a gradual integration into various sectors is expected.
-
Adobe (ADBE) Q3 2025 Earnings Preview
Adobe reported strong fiscal third-quarter results, beating analysts’ expectations with adjusted EPS of $5.31 and revenue of $5.99 billion. The company’s growth is fueled by its digital media segment and strategic AI integration, with AI-influenced ARR exceeding $5 billion. Adobe anticipates continued growth, forecasting adjusted EPS between $5.35 and $5.40 for the fourth quarter and projecting an 11.3% annualized revenue increase in its digital media business for the fiscal year. Despite this, Adobe’s year-to-date stock performance lags behind the Nasdaq.
-
Oracle Stock Soars 40%, Set for Biggest Gain Since 1992
Oracle’s shares surged 40% following strong cloud demand fueled by AI, potentially reaching a record single-day gain and nearing a $1 trillion market cap. RPO jumped 359% year-over-year to $455 billion, exceeding expectations. Oracle benefits from AI demand, its cloud infrastructure, and access to Nvidia GPUs, competing with Microsoft, Amazon, and Google. Projections forecast exponential cloud infrastructure revenue growth. While overall Q1 earnings slightly missed estimates, analysts express optimism, citing Oracle’s strategic position in the AI market and exceptional backlog, with upgrades and raised price targets.
-
Oracle Projections Analysts Stunned: “We’re All Kind of in Shock.”
Oracle’s stock surged 28% after hours following its earnings call, driven by optimistic forward-looking projections for its cloud infrastructure business and new AI deals. Analysts were “blown away” by the anticipated 77% revenue increase in cloud infrastructure. Oracle also announced multi-billion-dollar contracts, including a collaboration with OpenAI to develop data center capacity and a substantial increase in remaining performance obligations, signaling strong future revenue. The company’s strategic focus on technology and networking, rather than owning data center buildings, also contributed to the positive outlook.
-
Google Cloud’s AI Monetization Strategy Explained
Google Cloud’s CEO Thomas Kurian says the division is already profiting significantly from AI investments. At a recent conference, Kurian outlined monetization strategies including consumption-based pricing for AI infrastructure (GPUs, TPUs, models via “tokens”) and subscription models for services like cybersecurity and Google Workspace. Upselling to higher-priced AI tiers also contributes to revenue growth. Google Cloud’s customer commitment backlog is at $106 billion, and it secured a $10 billion cloud contract with Meta. Cloud revenue grew 32% year-over-year in the latest quarter.
-
Oracle (ORCL) Q1 2026 Earnings Report
Oracle shares surged after hours due to optimistic growth projections driven by new cloud contracts, overshadowing slight earnings and revenue misses. Q1 revenue rose 12% to $14.93 billion. Remaining Performance Obligation skyrocketed 359% to $455 billion, fueled by deals like OpenAI’s 4.5 gigawatt data center agreement. Oracle is leveraging AI, integrating Google’s Gemini, and launching Oracle AI Database. Cloud infrastructure revenue grew 55%. Oracle projects significant revenue growth through 2030, with substantial capital expenditure increases planned.
-
Abu Dhabi Unveils AI Reasoning Model Challenging OpenAI and DeepSeek
The UAE’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) introduced K2 Think, a compact reasoning model challenging OpenAI and DeepSeek. Developed with G42, K2 Think utilizes 32 billion parameters and Alibaba’s Qwen 2.5, achieving competitive benchmark results in math and science. MBZUAI emphasizes its focus on scientific advancements, aiming to accelerate research with limited resources. This development underscores the UAE’s ambition to become a key player in the global AI landscape, joining the US and China in the race for AI innovation.
-
Thinking Machines Becomes OpenAI’s First APAC Partner
Thinking Machines is partnering with OpenAI to become the first official Services Partner in APAC, aiming to help businesses in the region translate AI investments into tangible outcomes. Many APAC enterprises are utilizing AI but struggle to scale beyond pilot projects; this partnership addresses this challenge. Thinking Machines will offer solutions like executive training and support for custom AI application development. CEO Stephanie Sy emphasizes building capability, focusing on skills, strategies, and support systems for effective human-AI collaboration, and viewing AI as a business transformation strategy driven by leadership.