What Does the Future Hold for Artificial General Intelligence?

Explore how industry leaders are defining artificial general intelligence (AGI) and what it may take to reach it. Developed by MIT Technology Review and Arm, this deep dive examines accelerating timelines, the compute innovations shaping progress, and why today’s models still fall short of true intelligence. Designed for engineers, researchers, and technology leaders navigating the future of AI.

What's Included in the Report?

The Countdown to AGI

Understand why experts believe artificial general intelligence could emerge by 2026 and what milestones and breakthroughs are needed to get there.

Intelligence Beyond Autonomy

Learn why today’s AI models fall short of true intelligence and what capabilities like reasoning and adaptability demand from compute systems.

The Compute Architecture for AGI

Explore how heterogeneous compute combines CPUs, GPUs, and AI accelerators to provide a practical path towards AGI workloads of the future.
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Key Takeaways

  • AGI timelines are accelerating: Experts predict early AGI traits by 2026; 50% chance of full AGI by 2047.
  • AGI demands a smarter compute strategy: Achieving intelligence at scale will require more efficient architectures, new system design approaches, and intelligent orchestration.
  • Today's AI isn't truly intelligent: At publication, models lack reasoning, adaptability, and understanding.
  • Benchmarks must improve: Metrics like fluid and social intelligence better reflect AGI goals.
  • Scale isn’t everything: AGI requires new architectures and approaches, not just more compute.

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