# Agentic AI
Latest news and articles about Agentic AI
Total: 5 articles found
Pentagon Bets Big on Agentic AI: Scale AI Secures $500 Million Defense Expansion
Scale AI has expanded its U.S. Air Force contract to $500 million to develop 'agentic AI' for the Survivable Airborne Operations Center. This move highlights the Pentagon's shift toward autonomous software for critical command-and-control missions in high-conflict environments.
Google’s $185 Billion Gambit: Engineering the 'Agentic Enterprise' to Redefine the Cloud AI Arms Race
Google Cloud has announced a massive expansion of its AI infrastructure, centered on eighth-generation TPUs and an 'Agentic Enterprise' framework. Backed by an annual capex budget approaching $185 billion, the company is focusing on specialized chips to overcome memory bottlenecks and autonomous agents that can operate across multiple cloud environments.
The Automation of Ambition: How AI and Stablecoins are Reshaping the Global South's Digital Economy
Fintech leader EBANX predicts that emerging markets will add one billion new consumers by 2036, driven by a radical shift toward localized payments, Agentic AI, and stablecoins. As traditional credit card reliance fades, the global digital economy is moving toward an automated, decentralized order where AI agents manage consumption and digital assets provide a hedge against economic volatility.
Beyond Reasoning: Why Agentic Thinking Is the New Frontier for Global AI
Former Alibaba Qwen lead Lin Junyang argues that AI is shifting from a 'reasoning' phase to an 'agentic' phase where models are trained to prioritize action and environmental interaction. He highlights the technical difficulties in merging deep thinking with instruction-following and predicts that future AI success will depend on building integrated systems that can independently determine the necessary level of deliberation for any given task.
China’s 2026 AI Crossroads: Open‑source Infrastructure as the Antidote to Vendor Lock‑in
SUSE executives warn that 2026 is a decisive year for Chinese firms adopting AI: they must choose between the short‑term convenience of closed platforms and the long‑term freedom of open, interoperable infrastructure. SUSE positions SLES 16, long support cycles and observability tooling as solutions to vendor lock‑in, regulatory demands and runaway compute costs.