Top AI & Tech News (Through May 25th)

Hello AI Citizens 🤖,

We’ve officially entered the age of the Open Agentic Web. At the forefront of this transformation are AI agents—intelligent systems that can reason, plan, and act across applications, services, and environments with minimal human input. This shift, powered by open protocols and foundational models, is redefining how we build, work, and compete online. Why should executives care? Because this evolution isn’t just technical—it’s strategic. The open agentic web will determine who controls the future of digital commerce, productivity, and customer experience. Businesses that embrace open, interoperable agent ecosystems will unlock unprecedented efficiency, automation, and innovation. Those that don’t risk being left behind in a closed-loop platform economy.

Here are the key headlines shaping the AI & tech landscape:

• Microsoft Build 2025 Ushers in the Era of AI Agents and the Open Agentic Web

• China Launches Orbital AI Supercomputer Network

• Klarna Uses AI Avatar CEO to Announce Earnings, Cuts 40% of Workforce

• Google I/O 2025 Unveils Gemini 2.5, Project Astra, and the Rise of AI Agents

• NVIDIA Launches GR00T Platform to Power the Humanoid Robot Revolution

• MIT Report Reveals AI's True Energy Cost

• FLANQ Unveils Q-RECON: AI-Powered Maritime Surveillance Drone

Let’s recap!

💻 Microsoft Build 2025 Ushers in the Era of AI Agents and the Open Agentic Web

At Build 2025, Microsoft unveiled its vision for a future driven by intelligent AI agents that can reason, remember, and autonomously execute tasks. Major announcements included GitHub Copilot’s transformation into a coding agent, the launch of Windows AI Foundry and Azure AI Foundry Model Router, and multi-agent orchestration via Microsoft 365 Copilot Tuning. Microsoft also introduced new standards like the Model Context Protocol (MCP) and NLWeb to create an “open agentic web,” where AI agents can navigate and interact with web content like human users. Source: Microsoft

💡Microsoft’s push into agentic AI marks a strategic inflection point in enterprise automation and developer tooling. Leaders should begin evaluating how multi-agent ecosystems, secure identity for agents (like Entra Agent ID), and open AI protocols will affect data governance, productivity, and competitive differentiation. As AI agents start owning workflows across departments, businesses that invest in secure orchestration and intelligent interoperability now will lead tomorrow’s digital economy.

🌌 China Launches Orbital AI Supercomputer Network

China has kickstarted the assembly of a space-based supercomputer by launching the first 12 satellites of a planned 2,800-satellite AI network. Built by ADA Space, the satellites each carry an 8-billion parameter model and collectively process 5 peta operations per second, enabling real-time, in-orbit data analysis and inter-satellite laser communication at 100Gbps. Future goals include reaching 1,000 POPs and deploying applications like 3D digital twins for disaster response, tourism, and gaming. Source: The Verge

💡 China’s orbital AI grid signals a leap in decentralized, edge-based computing. Business leaders should pay close attention to space-as-a-platform for AI deployment—this architecture could unlock ultra-low latency intelligence for industries like defense, climate monitoring, telecom, and logistics. As space tech converges with AI, forward-looking enterprises may find competitive advantage far above Earth’s surface.

🤖 Klarna Uses AI Avatar CEO to Announce Earnings, Cuts 40% of Workforce

Klarna has taken AI integration to the next level by having an AI-generated avatar of its CEO, Sebastian Siemiatkowski, deliver the company’s earnings update on YouTube. The buy-now-pay-later fintech—preparing for an IPO—credited AI for helping it hit 100 million users and achieve four straight profitable quarters. Notably, Klarna trimmed its workforce by 40%, boosting revenue per employee to nearly $1 million. The human CEO confirmed the staff shrank from 5,000 to around 3,000. Source: TechCrunch

💡Klarna’s AI-first approach signals how executive-level functions—from reporting to strategy execution—are increasingly blending with automation. While full AI CEOs may still falter under unpredictable crises, business leaders should explore how AI avatars, copilots, and decision engines can augment leadership bandwidth, scale internal comms, and improve agility—especially in high-growth, data-intensive sectors.

🧠 Google I/O 2025 Unveils Gemini 2.5, Project Astra, and the Rise of AI Agents

At I/O 2025, Google rolled out sweeping updates across its Gemini AI platform—introducing Gemini 2.5 Pro with Deep Think reasoning mode, agent-powered search, personalized Gmail replies, and a stunning new video model called Veo 3. Project Astra has evolved into Gemini Live, bringing real-time screen and camera awareness to mobile users, while Project Mariner now powers an “Agent Mode” that can navigate websites and complete tasks like scheduling tours. Google also launched Beam, a hyper-realistic AI video calling platform built on Project Starline, and announced full MCP protocol compatibility to enable agent-to-agent collaboration across services. Source: Google

💡 Google’s I/O 2025 marks a clear shift toward AI as an action-oriented agent—capable not just of answering, but of doing. With Gemini AI now embedded in Search, Gmail, Workspace, and Chrome, executives must rethink digital strategy: customer experience, internal operations, and data privacy will increasingly be mediated by intelligent, personalized, and autonomous systems. The race to AI utility is accelerating—and Google just raised the bar.

🦿 NVIDIA Launches GR00T Platform to Power the Humanoid Robot Revolution

At COMPUTEX, NVIDIA unveiled the next-gen Isaac GR00T N1.5 model and GR00T-Dreams blueprint, ushering in a new era of "Physical AI" for humanoid robotics. GR00T-Dreams enables robots to learn complex tasks from synthetic data, slashing training times from months to days. Robot makers like Boston Dynamics, Foxconn, and NEURA Robotics are adopting NVIDIA’s full-stack cloud-to-robot platform—combining GR00T models, Isaac Sim 5.0, Cosmos world models, and new Blackwell RTX PRO systems—to accelerate development, simulation, and deployment of highly adaptable humanoid agents. Source: NVIDIA

💡The rise of AI-powered robotics is no longer speculative—it’s strategic. NVIDIA’s full-stack ecosystem offers a turnkey path from simulation to deployment, giving manufacturers, logistics firms, and industrial operators a head start in automating physical tasks with intelligent machines. Executives should begin piloting AI-robotics integrations now to future-proof operations, especially in sectors facing labor shortages or requiring 24/7 reliability.

🌍 MIT Report Reveals AI's True Energy Cost — and It’s Just the Beginning

A groundbreaking MIT Technology Review investigation has exposed the staggering energy footprint behind the AI boom, warning that inference—not training—is now the dominant energy sink as AI reaches billions of users. The report estimates that AI data centers in the U.S. consumed up to 76 terawatt-hours in 2024, with future projections suggesting AI alone could use as much electricity as 22% of U.S. households by 2028. Despite efforts from Microsoft, Google, and OpenAI to secure cleaner energy, much of AI’s rapid growth is still powered by fossil fuels—and users may soon foot the bill through rising utility costs. Source: MITTechnologyReview

💡 AI’s environmental impact is becoming a strategic and reputational issue. As governments and watchdogs push for transparency, enterprises must anticipate regulations and sustainability demands by auditing AI infrastructure, sourcing cleaner energy, and choosing models optimized for efficiency. Business leaders who embed green AI practices now will not only reduce carbon liabilities but also future-proof their operations in a rapidly evolving regulatory and public perception

🌊 FLANQ Unveils Q-RECON: AI-Powered Maritime Surveillance Drone

German defense firm FLANQ has launched Q-RECON, a compact AI-enabled uncrewed surface vessel (USV) designed for coastal intelligence and near-shore surveillance. Weighing in at just 2 meters long and portable by two operators, Q-RECON boasts advanced features including GPS-denied navigation, multispectral sensors, and 30-knot speed. Its Q-KONTROL and Q-MIND systems leverage AI for real-time mission adaptation, autonomous control, and secure data analysis via cloud infrastructure. Source: The Defense Post

💡 Defense and security leaders should take note: AI-driven modular drones like Q-RECON are setting new standards for flexible, autonomous maritime surveillance. As AI systems evolve to handle complex edge computing in GPS-limited zones, the shift toward adaptable, lightweight, and sensor-rich USVs will be key in securing coastal and infrastructure-critical zones—without endangering personnel.

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