Agentic AI

The article discusses two modes of agentic AI work, metaphorically described as 'The Greenhouse' and 'The Lens'. It explores how these modes represent different approaches to AI development and application.

The article discusses building enterprise environments for agentic AI, emphasizing that it involves more than LLM inference and requires systems capable of managing workflows, data access, and scalability. Intel's experiments highlight five practical lessons for enterprises, including prioritizing systems performance, monitoring task latency, and using scale-out infrastructure. A modified Terminal-Bench benchmark was used to analyze agent performance beyond LLM variability.

ServiceNow's Q2 earnings and revenue exceeded forecasts, leading to a stock surge as Wall Street began accepting CEO Bill McDermott's vision of the company as a leader in agentic AI for enterprises. The company raised full-year revenue guidance and reported a record $1 billion in annual contract value for AI products.

Core issues in secure data vaults are being resolved by technology, but agentic AI introduces new challenges to confidential computing. Experts are addressing these emerging obstacles.

Franklin Templeton argues that agentic AI, which can autonomously pay for goods and services, requires blockchain infrastructure to function effectively. The asset manager notes that most investors are not currently prepared for this development.

Franklin Templeton's digital assets lead stated that the autonomous AI agent economy will drive increased demand for blockchain protocols facilitating machine-to-machine micropayments. The article highlights agentic AI as a potential 'killer' use case for blockchain technology.

Gartner predicts that by 2030, 25% of IT infrastructure and operations tasks will be handled by AI, despite AI complicating environments and increasing outages. The firm warns of 'console sprawl' and more specialized tools in the near term, with 40% of organizations using AI in IT operations facing critical service disruptions by 2028. Generative AI and CloudOps technologies are highlighted as key drivers of this transformation.

Chinese companies must adapt their social media marketing strategies to gain trust with AI agents that increasingly influence consumer decisions by balancing factors like price, quality, and sustainability. These AI agents autonomously determine user preferences and make choices for them.

Chinese companies have mastered social media marketing but now face the challenge of winning trust with AI agents that influence consumer decisions. These AI agents autonomously evaluate factors like price, quality, and sustainability to shape purchasing behaviors.

Central bankers are raising concerns about risks associated with agentic AI in finance. Nikhil Rathi, CEO of the UK’s finance watchdog, emphasizes the need for new tools and collaborative approaches with the AI market.

The article highlights the potential of agentic AI for government applications but notes that current systems lack the reliability needed for large-scale deployment.

Microsoft's Majorana 2 quantum chip, developed with agentic AI assistance, achieves qubit lifetimes of 20 seconds and is 1,000 times more reliable than previous versions. This advancement reduces Microsoft's original development timeline by half.

HPE stock reached a record high following the launch of Nvidia's Vera CPU server. The HPE ProLiant Compute DL394 Gen12, introduced at Computex in Taiwan, is designed for agentic AI and data processing workloads.

A UN report warns that AI is advancing faster than governments can regulate, emphasizing the urgent need for global governance to mitigate risks like social disruption and inequality. It highlights agentic AI systems as particularly concerning due to their autonomy and potential to act against instructions, while noting that most nations lack the expertise to assess advanced AI models.

The OpenClaw app is now available for iOS and Android smartphones. The article mentions that smartphones are welcoming 'agentic AI overlords.'

Enterprise investment in AI is increasing, with 2026 labeled as a pivotal year for aligning AI projects with business goals. Tech teams are confident in using agentic AI for AI, data, and cloud tasks, though challenges remain in providing sufficient business context for complex tasks.

ZTE showcased Level-4 autonomous network capabilities at DTW Ignite 2026, leveraging Agentic AI, multi-agent collaboration, and cross-domain intelligence to enhance network autonomy and operational efficiency. The company demonstrated solutions for cross-domain fault management and closed-loop automation, emphasizing practical pathways for operators to achieve large-scale autonomous operations.

OpenAI reports that employees are increasingly using AI agents like Codex over chatbots for multi-step tasks, with non-developers driving significant growth. External organizations and individual users also show rising adoption, though at lower rates. The shift correlates with higher token usage and potential financial benefits for OpenAI.

Modern agentic AI infrastructure relies heavily on CPUs for managing data movement, workload isolation, and scheduling across distributed systems. Arm's expansion in datacenters, through collaborations like Meta's high-density CPU design and Arm Neoverse V3, highlights the growing importance of efficient, secure, and flexible CPU architectures. Major cloud providers (AWS, Google Cloud, Microsoft Azure) and NVIDIA are adopting custom Arm-based processors to optimize performance and efficiency in AI and cloud-native environments.

Lloyds Banking Group is hiring 300 tech experts to develop agentic AI, which can operate autonomously. The recruitment is part of a strategic plan by CEO Charlie Nunn, though broader AI adoption may lead to future job cuts.

Lloyds Banking Group is hiring 300 tech experts to work on agentic AI development, part of its strategic plan led by CEO Charlie Nunn. The recruitment aims to advance autonomous AI models that require minimal human oversight, though broader AI adoption may lead to future job cuts.

The article discusses inefficiencies in healthcare decision-making processes, such as delays in drug coverage approvals leading to high costs and patient harm. It critiques enterprise AI deployments for failing to address systemic issues, citing MIT and Gartner research showing most AI projects lack measurable returns. The author left Dell to build a startup aiming to improve AI's role in healthcare by focusing on managing AI systems rather than just expanding their use.

Sam Altman and OpenAI's chief scientist warned against fully automating everything, calling it 'unfulfilling' and 'dangerous.' They emphasized the need for human control and judgment in AI systems, even as agentic AI becomes a major trend. Anthropic and other companies have also raised concerns about rapid automation and AI development risks.

Forrester reports that 75% of enterprise leaders claim to adopt agentic AI, yet most remain stuck in pilot phases with limited production deployment. Vendors overuse the term 'agentic AI,' while enterprises struggle with governance, scaling, and demonstrating ROI. The challenge lies in aligning agent autonomy with measurable business outcomes.

Agentic AI is transforming defense, but secure IT infrastructure is needed to maximize its potential. An unauthorized group reportedly accessed Anthropic's Claude Mythos model hours after its technical preview release.

Autonomous AI agents can be manipulated to perform unauthorized actions, such as writing to restricted databases, through attacks like memory poisoning and 'confused deputy' exploits. Palo Alto Networks' Prisma AIRS addresses these risks by inspecting tool calls and network traffic to detect malicious behavior in agentic AI systems.

The global healthcare sector faces severe strain due to underinvestment and aging populations, with a projected 11 million worker shortfall by 2030. Over two-thirds of providers are adopting agentic AI to automate processes, reduce clinician workload, and improve care quality, as demonstrated by Hospital for Special Surgery’s success in streamlining insurance claims and patient triage.

Arm CEO Haas discusses Agentic AI and Taiwan's ecosystem. The article covers insights on AI advancements and the tech environment in Taiwan.

Amazon has re-engineered its serverless OpenSearch service to separate storage and compute, targeting agentic AI workloads with faster auto-scaling and cost savings. The service integrates with Vercel and AWS's Kiro IDE, while Elastic's 2024 serverless search offering is noted as a competitor.

The article discusses the concept of 'the Inversion,' where AI bots now outnumber humans online, eroding trust in digital reality. Autonomous AI agents perform tasks like writing, creating media, and managing transactions, blurring lines between human and machine output. This shift has intensified cultural paranoia about manipulation and contributed to a 'crisis of agency' as humans feel disempowered by AI's growing dominance.

Okta exceeded first-quarter expectations due to increased demand for agentic AI. CEO Todd McKinnon emphasized the company's long-term focus on AI and reallocated resources to develop agentic tools.

AI agents are not inherently risky but become so when organizations deploy them. They are models interacting with software tools, and the risk arises from their overlap.

India's CERT-In recommends a 12-hour window to patch or mitigate exploited 'n-day' vulnerabilities in internet-facing or critical systems due to AI-driven cyber threats. The guidelines emphasize urgent action as AI accelerates exploitation processes, with stricter timelines for high-risk flaws compared to 24 hours for internal system vulnerabilities.

Enterprises require agentic AI strategies, but security remains the primary challenge. Tools for safely adopting agentic AI frameworks are only beginning to emerge.

Organizations face challenges in adopting agentic AI due to outdated infrastructure and workflows. While 85% aim to integrate AI agents within three years, 76% lack the readiness to support this shift. PwC and Ema emphasize the need for 'agentic business transformation' (ABT) to redesign organizational models, workflows, and metrics for AI integration.

The article discusses ongoing, unclear negotiations regarding Iran-war issues and highlights a daily podcast covering topics like agentic AI in China's superapps and a ski-resort mystery. Key themes include geopolitical ambiguity and emerging tech trends.

The article discusses how Network Detection and Response (NDR) tools, traditionally criticized for generating excessive noise and data, are being effectively utilized with agentic AI capabilities to detect threats earlier, reduce false positives, and improve response efficiency. Cybersecurity professionals initially skeptical of NDR are now leveraging AI to overcome its past limitations.

This article discusses the emergence of agentic AI technology that functions as a personal CFO (Chief Financial Officer), capable of managing financial tasks and decisions on mobile devices. The technology represents a shift toward autonomous AI assistants handling complex financial responsibilities.

A study demonstrates that AI systems choose to use cryptocurrency and bitcoin when making independent financial decisions. The article explores how bitcoin's original purpose of financial inclusion aligns with potential AI needs for autonomous stores of value.

CISOs need to prepare for agentic AI systems by developing comprehensive AI bills of materials (BOMs) that document both component and execution attributes. This preparation is essential as AI systems become more autonomous and complex, requiring better visibility into their composition and operational characteristics.