Mala Gaonkar argues the most profound applications of AI are improving non-tech industries. For example, AI has improved the accuracy and speed of medical scans by 70% and is transforming the 300 million surgeries performed globally each year through robotics, reducing errors.

While fears of AI-driven job loss are valid in some industries, healthcare faces a massive and growing supply-demand mismatch. With record shortages of clinicians and unlimited demand, AI is less a job destroyer and more a critical tool to augment existing workers.

Widespread fear of AI-driven job loss will be eclipsed by its life-saving applications in medicine. When people experience AI directly saving a family member's life, their perspective on the technology will fundamentally and positively change.

Beyond productivity gains, AI's most transformative impact may be automating R&D to accelerate scientific discovery. This could lead to breakthroughs in health and wellness, solving problems that might otherwise take decades and fundamentally improving quality of life, not just GDP.

The discourse on AI is overly focused on preventing harms like existential risk. A more productive approach is to also define a public agenda for what we want AI to *achieve*—the public 'goods' it can create, such as solving orphan diseases or simplifying government services.

The path to curing diseases with AI is less about a model discovering a magic pill and more about the industrial and economic effects. For example, a founder getting rich from an AI image generator can then fund advanced screening technology, which reduces cancer rates through earlier detection.

The current AI debate is lopsided, focusing heavily on the "probability of doom" (P-doom). Eddy Lazzarin advocates for equally considering the "probability of abundance" (P-abundance)—the immense potential benefits we risk losing. The opportunity cost of delaying progress must be a central part of the safety conversation.

AI will create negative consequences, like the internet spawned the dark web. However, its potential to solve major problems like disease and energy scarcity makes its development a net positive for society, justifying the risks that must be managed along the way.

While many focus on AI's business applications, its most profound benefit will be in science. Leaders like Google's Demis Hassabis believe AI will solve humanity's hardest problems in math, physics, and biology, with the potential to cure all diseases within a decade.