Today's artificial intelligence is developed in silos with limited cross-pollination. It's also fragmented by its reliance on linear, cause-and-effect thinking. This approach creates solutions that are disconnected from complex human life.
A mechanistic mindset is essential for building rockets and bridges. But when it’s the sole foundation, AI reaches its limits in capturing human complexity. Encoded biases, brittle systems, and technology that optimizes for metrics instead of enhancing human well-being are the result, revealing a critical gap between AI's potential and what its purpose could be...
What's needed is contextual reasoning that makes AI a true thinking partner—not replacing human judgment but revealing the interconnected factors humans need to see before making complex decisions.
Spherical Thinking is a proven methodology for understanding human systems that is designed to enhance AI capabilities by adding contextual reasoning layers that reveal how human decision-making emerges from interconnected systems.