Artificial intelligence (AI) systems have been hailed as a key driver of autonomous scientific discovery and rapid economic transformation, thanks to their exceptional capabilities in pattern recognition, cross-domain synthesis, and hypothesis generation.

However, intelligence alone is not enough to drive progress. Scientific and economic breakthroughs rely on grounded interaction with reality, causal validation, and institutional execution, highlighting the need for a collaborative approach.

To better understand the role of AI in driving real-world impact, a framework is needed to map where AI creates value, where it is constrained, and why human-AI collaboration remains the dominant structure for meaningful progress.

By examining the intersection of AI capabilities and real-world constraints, we can unlock the full potential of human-AI collaboration and accelerate scientific and economic breakthroughs, ultimately leading to a brighter future for humanity.

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