New Report Maps Four Pathways From Human-Level AGI to Superintelligent AI Systems

A new arXiv paper examines how artificial intelligence could advance beyond human-level AGI toward artificial superintelligence (ASI), identifying four potential development pathways: scaling, paradigm shifts, recursive self-improvement, and multi-agent collectives. Rather than a single transformative moment, the report suggests AI progress may unfold as a series of breakthroughs across multiple domains, requiring coordinated global preparation.

Why it matters: As major AI organizations explicitly target human-level AGI within the next decade, understanding the theoretical mechanics and bottlenecks of post-AGI development is critical for technologists, policymakers, and strategists planning for transformative AI impact.