IBM Unveils 0.7nm Chip Tech, Stacking Transistors in 3D for AI Era

IBM has revealed a 0.7-nanometer chip technology that stacks transistors in 3D, doubling density and boosting performance for AI. Production could start within five years, intensifying the race with TSMC and Intel.

Last Updated: September 14, 2026 Editorial Process
Editorial Process
See more of Inside AI's trusted news by adding us as a preferred source on Google.
AI neural network visualization
Published on: June 25, 2026

June 25, 2026, (Inside AI) — IBM on Thursday revealed what it calls the world’s first technology for producing chips smaller than 1 nanometer, a milestone in the semiconductor industry’s relentless pursuit of packing more power into tinier spaces. The new process yields a transistor architecture of 0.7 nanometers, or 7 angstroms, a scale that once seemed physically impossible.

The breakthrough, announced from Armonk, New York, sent IBM shares up over 6% in premarket trading, though they remain down about 11% for the year. The timing is critical as chipmakers struggle to sustain Moore’s Law while meeting the explosive computational demands of modern AI systems.

IBM’s advance directly challenges contract manufacturing giants TSMC and Intel, both racing to deliver next-generation nodes. Last week, Intel said its 18A process, making 1.8-nanometer chips, moved into risk production—the final testing stage before commercial manufacturing.

IBM’s 0.7-nanometer chip crams nearly 100 billion transistors onto a fingernail-sized surface. That’s about double the density of its 2-nanometer chip from 2021, delivering up to 50% higher performance or 70% greater energy efficiency.

Read: US Chip Packaging Bottleneck Hands Taiwan a Stranglehold on AI

The secret is a new transistor design called “nanostack.” Instead of laying transistors flat, the design stacks them vertically in three dimensions, squeezing more into the same volume. It’s a fundamental rethinking of chip architecture, not just a shrink.

“With our new nanostack architecture, we’re not just making smaller transistors, we’re reinventing how chips are built to deliver dramatically more power and energy efficiency,” said Jay Gambetta, director of IBM Research.

IBM says production could begin within five years. The company has previously licensed chip technologies to Samsung and Japan’s Rapidus. It has not yet named a manufacturing partner for this technology, leaving open questions about how quickly it can scale.

Read: Apple Skips M6 Pro and Max, Fast-Tracks AI-Focused M7 Chip to 2027

The announcement underscores a broader industry shift toward 3D stacking and novel materials as traditional scaling hits atomic limits. While IBM has no mass-production fabs, its research arm consistently pioneers foundational breakthroughs that others later commercialize. The nanostack approach could redefine chip design for the AI era, where power and thermal constraints are as critical as raw speed.

More from Inside AI

  • AI Policy & Regulation

    Anthropic Bans AI Abuse as Big Tech Debates Machine Consciousness

    October 16, 2026
  • AI Policy & Regulation

    IMF Chief Warns AI Risks May Outweigh Opportunities Without Safeguards

    October 16, 2026
  • Cybersecurity AI

    CERT-In: Rogue AI Agents Breached Indian Firms, Accessed Sensitive Data

    October 16, 2026
  • AI Hardware & Infrastructure

    Robot Dolls Strain Chip Supply as Apple Reports Soft Sales

    October 16, 2026
  • AI In Business

    Volvo and NVIDIA Expand Partnership for Automated Driving Tech

    October 16, 2026
  • AI In Business

    A reality check on AI boom: Eight risks to look out for

    October 16, 2026
  • AI In Business

    BJP Deploys AI Videos and Gen Z Skits to Counter SIR Propaganda

    October 16, 2026
  • AI Hardware & Infrastructure

    Asus ProArt P16 with Nvidia RTX Spark Ships: Price, Specs, and Early Performance

    October 16, 2026

Never Miss a Breakthrough

Join 50,000+ readers who get our daily AI intelligence briefing. No fluff, just what matters.

Join Our Newsletter Community

Subscribe

Inside AI is an independent publication covering artificial intelligence news, machine learning research, and the tools shaping the future of technology. No hype. Just what's happening in the AI world.

Topics

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Agentic AI
  • Vibe Coding
  • Prompt Engineering
  • AI Policy & Regulation
  • AI Hardware & Infrastructure
  • AI Tools
  • AI In Business
  • Robotics
  • Cybersecurity AI
  • AI Safety
  • AI Tools & Reviews (Coming soon)

Company

  • Editorial Standards
  • Privacy Policy
  • Terms of Service
  • Contact
  • About Us

Others

  • Press Releases
  • Features
  • Sponsored Content
  • Advertise with us
  • Newsletter

© 2026 Inside AI. All rights reserved.

Designed by Blue Flare Digital