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Telecom Becomes an AI Vendor: AI & Automation Insights, August 2026

Telecom Becomes an AI Vendor: AI & Automation Insights, August 2026
August 2026's roundup: operators from SK Telecom to Ooredoo built or monetized AI infrastructure directly, AI-RAN validation reached the device and per-user level, agentic AI moved deeper into live network operations, and governance caught up with a watermarking mandate, an incident-reporting coalition, and a hard look at why AI inference costs keep rising even as token prices fall.

Mapping the AI Capital Stack: What the AMD-Anthropic Deal Means for Compute Access

Mapping the AI Capital Stack: What the AMD-Anthropic Deal Means for Compute Access
A $5 billion investment tied to 2GW of compute deployment beginning H1 2027 isn't just financial news. It's a forward-looking signal about which AI capacity will actually be available to buyers, and when.

Build vs. Buy: Why AT&T and SK Telecom Are Now Building Their Own AI Models

Build vs. Buy: Why AT&T and SK Telecom Are Now Building Their Own AI Models
Operators are no longer just buying AI. Some are building it, some are buying it as a managed service, and some are bundling someone else's consumer product into a mobile plan — and those are three fundamentally different vendor relationships.

The Trust Gap Widens as AI-RAN Goes Government-Scale: AI & Automation Insights, July 2026

The Trust Gap Widens as AI-RAN Goes Government-Scale: AI & Automation Insights, July 2026
July 2026's roundup: agentic AI's accountability gap widens even as AI-RAN moves into government-backed programs, telecom builds its own AI models, and fresh capital reshapes the AI model layer — with the deeper compute and data-center buildout covered in our companion Digital Infrastructure Insights, July 2026.

Chip Manufacturing Capital Hits Record Scale as SK hynix Debuts on Nasdaq: Digital Infrastructure Insights, July 2026

Chip Manufacturing Capital Hits Record Scale as SK hynix Debuts on Nasdaq: Digital Infrastructure Insights, July 2026
July 2026's roundup: TSMC raises its Arizona commitment to $265 billion, Micron commits more than $250 billion to US DRAM manufacturing through 2035, SK hynix's $26.5 billion Nasdaq listing prices and begins trading, and hyperscaler data center and interconnect infrastructure keeps expanding from Alberta to Google's dark fiber network.

Telecom and Wireless Insights for June 2026: Agentic AI Goes Operational as Satellite Consolidates Through M&A

Telecom and Wireless Insights for June 2026: Agentic AI Goes Operational as Satellite Consolidates Through M&A
June 2026's roundup: agentic AI moves from pilot to operational core across telecom networks, satellite consolidates through Rocket Lab's $8B Iridium acquisition and SpaceX's $75B IPO, AI-RAN's GPU divide matures into shipping products, US spectrum auctions return after a four-year hiatus, and telecom M&A accelerates globally.

South Korea’s $650B AI Megaproject Anchors a Month of Chip Supply Diversification: Digital Infrastructure Insights, June 2026

South Korea's $650B AI Megaproject Anchors a Month of Chip Supply Diversification: Digital Infrastructure Insights, June 2026
June 2026's roundup: SK Group, GS Group, and Naver unveil a $650 billion, 10-year AI infrastructure megaproject, Google shifts part of its TPU manufacturing from TSMC to Intel, Nvidia diversifies its HBM4 supply chain, and AI data center capacity keeps expanding into new global markets from Indonesia to Paraguay.

Sovereign AI Goes Global as Anthropic’s Capital Reshapes the Ecosystem: AI & Automation Insights, May 2026

Sovereign AI Goes Global as Anthropic's Capital Reshapes the Ecosystem: AI & Automation Insights, May 2026
May 2026's roundup: sovereign AI becomes a genuine global commercial category across nine countries, Anthropic's $65B raise reshapes enterprise AI partnerships, AI-RAN advances through Nvidia's direct investment in Nokia, and China's telecom giants launch a consumer AI token economy.

China Telecom Giants Enter the AI Token Economy

China Telecom Giants Enter the AI Token Economy
China Telecom, China Mobile, and China Unicom have each unveiled token-based service plans, ecosystem alliances, and commercial pricing structures that reframe what it means to be a telecom provider in the AI era. This is not a pilot program or a speculative roadmap. It is a structural shift in how network operators intend to generate revenue, compete for enterprise customers, and position themselves at the center of the AI economy — driven by a greater than 1,000-fold surge in daily token consumption across China between early 2024 and March 2026.

Alibaba AI Chip: China’s Semiconductor Roadmap Through 2028

Alibaba AI Chip: China's Semiconductor Roadmap Through 2028
Alibaba's Zhenwu M890 AI accelerator, developed by chip unit T-Head, delivers approximately three times the performance of its predecessor and features 144GB of on-chip memory purpose-built for agentic AI workloads. Backed by a $53 billion infrastructure commitment and a published roadmap extending to the J900 chip in 2028, Alibaba is building sovereign AI infrastructure from silicon to software. With over 560,000 chips shipped to 400-plus customers across 20 industries, this is a commercially validated platform — not a prototype — signaling a maturing Chinese AI hardware ecosystem.

Alibaba.com’s global B2B play powered by AI

Alibaba.com AI Mode: Agentic AI for Global B2B Sourcing

South Korea Sovereign AI Strategy

South Korea Sovereign AI Strategy
South Korea is funding a national AI stack to reduce dependence on foreign models, protect data, and tune AI to its language and industries. The government has committed ₩530 billion (about $390 million) to five companies building large-scale foundation models: LG AI Research, SK Telecom, Naver Cloud, NC AI, and Upstage. Progress will be reviewed every six months, with underperformers cut and resources concentrated on the strongest until two leaders remain. The policy goal is clear: build world-class, Korean-first AI capability that supports national security, economic competitiveness, and data sovereignty. For telecoms and enterprise IT, this is a shift from “consume global models” to “operate domestic AI platforms” integrated with local data, compliance, and services.

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