Will synthetic biology be bigger than AI?

This hypothesis suggests that the two technologies are deeply intertwined and will co-evolve, with each enabling significant advancements in the other. The question of which is 'bigger' becomes less relevant as their combined impact surpasses what either could achieve alone.

This hypothesis suggests that while synthetic biology holds immense long-term potential, its current stage of development, coupled with inherent biological complexities and regulatory hurdles, means that AI will continue to be the primary driver of technological change for the foreseeable future.

This hypothesis posits that synthetic biology's direct manipulation of physical and biological systems will lead to more profound and widespread tangible impacts on human society, health, and the environment than AI, which primarily operates in the digital realm and automates cognitive tasks.

This hypothesis argues that AI's ability to automate, optimize, and connect vast systems across all sectors will maintain its position as the most transformative technology, with synthetic biology representing a powerful, but ultimately specialized, application that benefits from AI's advancements.

This hypothesis posited that the complexity and cost of synthetic biology would confine its viable applications to high-value, niche areas like orphan disease treatments, preventing it from becoming a broad, economy-wide transformative force.