WHITEPAPERS
AGI: the timeline, breakthroughs needed, why AI models are falling short and a practical path forward.
September 10th, 2025 –
By: Arm
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.
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.
Read more here.