AI Keeps Memory Prices High, IBM's NanoStack Breakthrough, Google AI Agents & Data Center Backlash
AI is changing more than software. It's reshaping the economics, engineering and politics of computing. On Hashtag Trending for Friday, June 26, 2026, Jim Love examines why Micron believes memory prices could remain historically high for years—not because of manufacturing costs, supply chain problems or raw materials, but because AI demand is so strong that memory makers can focus on their highest-margin products. That profitability could eventually encourage new Chinese competitors, much as export restrictions helped create a new generation of Chinese AI chip companies. IBM follows yesterday's quantum announcement with another bid for technology leadership, unveiling the world's first sub-1 nanometre NanoStack transistor architecture. The breakthrough promises major gains in performance and energy efficiency, although commercial chips remain about five years away. Google is also pushing AI into a new phase with Gemini Computer Use, allowing AI agents to operate software on your behalf. But once AI can log into systems, click buttons and make decisions, the bigger questions become identity, authentication, permissions and governance. Finally, the growing backlash against AI data centres continues to intensify. An Oklahoma farmer's arrest at a public meeting, election defeats for Utah politicians who backed a major data-centre project, developers scaling back billion-dollar plans, and even Polaroid joining the protest movement all point to one conclusion: the debate over AI infrastructure is getting hotter. In this episode: 00:00 Introduction 00:33 AI Demand Keeps Memory Prices High 02:56 IBM's NanoStack Chip Breakthrough 04:53 Google's Computer Use AI Agents 06:14 Securing AI Digital Workers 08:26 Data Center Backlash Intensifies 12:51 Wrap-up If you enjoy clear, fact-based coverage of AI, semiconductors, cybersecurity and enterprise technology, subscribe and turn on notifications so you never miss an episode. Keywords: AI, artificial intelligence, Micron, memory chips, DRAM, HBM, semiconductor industry, IBM, NanoStack, sub-1 nanometre chip, nanometer chip, quantum computing, Google Gemini, Gemini Computer Use, AI agents, enterprise AI, digital workers, authentication, cybersecurity, Nvidia, China semiconductors, AI infrastructure, data centres, Kevin O'Leary, Polaroid, Hashtag Trending, Jim Love, tech news

MIT Just Revealed the AI Bubble's Fatal Flaw

Malware that Gaslights AI

2 Years After Broadcom Destroyed VMware: Where Did Everything Land?

The Local AI Hardware Mistake Everyone Makes

Using Large Language Models | Build Your Own LLM Workshop #1

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Mechanic Sends HUGE WARNING: Don't Buy NEW Vehicles in 2026.

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

NVIDIA's Quantum-AI Chip Leaked — This Changes Everything

They're laughing at the SpaceX bubble

Ex-Google Insider: You're Not Ready For The Next Phase of AI

The AI Coding Revolution Has a Huge Problem?

China Just Built What TSMC Said Was Impossible

How Nvidia GPUs Compare To Google’s And Amazon’s AI Chips

5 People You Meet In Cybersecurity

The Trillion-Dollar Lie: How Elon Musk Actually Got Rich | w/ Prof. Richard Wolff

OpenAI’s $1 Trillion Bullsh*t Is Falling Apart

They can't hide SpaceX losses

