To win public support, the AI industry's moonshot should be to cause actual price deflation in critical sectors like healthcare and education. This tangible benefit, addressing areas where consumers feel the most financial pain, would resonate far more than abstract promises or marketing campaigns.

Healthcare has historically been a service, with costs tied to licensed professionals. AI models like Gemini and ChatGPT are changing this by providing medical advice, effectively turning healthcare into a product. This shift, currently tolerated by regulators, could dramatically lower costs and increase access, just like software products.

The most effective AI strategy focuses on 'micro workflows'—small, discrete tasks like summarizing patient data. By optimizing these countless small steps, AI can make decision-makers 'a hundred-fold more productive,' delivering massive cumulative value without relying on a single, high-risk autonomous solution.

The most significant opportunity for AI in healthcare lies not in optimizing existing software, but in automating 'net new' areas that once required human judgment. Functions like patient engagement, scheduling, and symptom triage are seeing explosive growth as AI steps into roles previously held only by staff.

While clinical AI is promising, the most immediate ROI is in tackling the $1 trillion in administrative waste (20-25% of total costs). AI can automate friction points like scheduling and prior authorizations, directly improving the patient experience and bending the cost curve.

The immense regulatory complexity in U.S. healthcare creates an estimated $500 billion "tax" of administrative bloat. The non-obvious opportunity is that by using AI to eliminate this waste, the savings could be redirected to fund expanded patient care, rather than just being captured as profit.

While AI has vast potential, its most immediate and successful entry point is automating prior authorizations. This administrative bottleneck is considered an 'easy win' because it's non-patient-facing, has a clear ROI, and sits at the front of treatment, leading to natural and rapid adoption.

The most tangible ROI for AI in healthcare today isn't in complex diagnostics, but in operational efficiency. AI scribes that free up doctors, intelligent call centers that triage patients correctly, and automated claim management are solving major bottlenecks and fighting burnout right now.

In sectors like finance or healthcare, bypass initial regulatory hurdles by implementing AI on non-sensitive, public information, such as analyzing a company podcast. This builds momentum and demonstrates value while more complex, high-risk applications are vetted by legal and IT teams.