By the 2030s, the nonbiological portion of our intelligence will predominate.

Ray Kurzweil has repeatedly forecast a near-term transition in which human cognition becomes increasingly augmented by machines—through AI systems, brain–computer interfaces, and networked computation. The claim that “by the 2030s” nonbiological intelligence will predominate fits his broader timeline associated with accelerating technological progress and his “Singularity” framework, in which computation becomes cheap, ubiquitous, and integrated with human life. Kurzweil often situates such predictions in discussions of exponential growth in computing power and the gradual outsourcing of memory, perception, and decision-making to digital systems, culminating in a period when machine-based cognition outweighs purely biological processing in practical human intelligence.

The quote argues that what we call “our intelligence” will not remain confined to the brain’s biological substrate. Instead, Kurzweil anticipates a tipping point where the dominant share of our effective cognitive capacity—knowledge access, pattern recognition, planning, and creativity—will be carried out by nonbiological components (software and hardware) that extend or merge with human agency. The significance is both philosophical and political: it reframes personhood and capability as hybrid, raises questions about dependence and control over cognitive infrastructure, and implies that progress in AI and augmentation will redefine education, work, and inequality by making intelligence increasingly a function of access to technological extensions.