AI, Growth, and the Future of Healthcare | Anish Acharya & Sachin Jain

In this fireside chat, A16Z General Partner Anish Acharya addresses SCAN Health Plan's leadership team, framing AI as the most significant technological development in human history, potentially since the invention of the wheel. He contextualizes AI within broader patterns of technological disruption, noting that technologies like electricity historically transferred 80% of created value to consumers, turning luxuries into commodities—a pattern he believes AI will replicate at unprecedented scale.

Acharya identifies two camps of AI perception: the 'Instagram view' held by those who tried ChatGPT early and remain unimpressed, and the 'Twitter view' of deeply convinced believers experiencing what he calls 'AI psychosis.' He argues the truth lies between these extremes but insists that skeptics simply haven't engaged with the tools recently enough, as capabilities are compounding every three to six months.

On practical deployment, Acharya outlines three working areas: chat as a thinking partner (not just an email drafting tool), code generation that he argues should be democratized to every employee regardless of technical background, and customer support agents that he believes are widely misunderstood. He pushes back against the narrative that AI customer support is purely a cost-cutting measure, arguing instead that it frees human agents to handle high-value interactions and enables a blurring of sales, support, operations, and collections functions.

Acharya addresses organizational concerns around AI governance, arguing that the existential risk of under-adopting the technology far outweighs the risks of over-exploration. He recommends a hybrid centralized/decentralized model where IT creates infrastructure for experimentation, a central AI team distributes best practices, and individual teams are empowered to pull their own threads. He uses token consumption as a proxy metric for genuine AI engagement, noting that a whole company spending $625/month on AI is insufficient.

On the public market selloff of SaaS stocks, Acharya argues the market has overcorrected, pointing out that most enterprise software touches regulated systems where errors carry serious liability, making vibe-coded replacements implausible. He also suggests financial markets are selling existing names to create capacity for anticipated IPOs from OpenAI, Anthropic, and SpaceX.

For the future of work, Acharya suggests AI will more likely produce a four-day workweek than mass unemployment, reduce corporate politics by introducing impartial AI decision-making, and eliminate administrative overhead that prevents workers from doing their best work. He closes by arguing that making healthcare—which carries 45% administrative cost at the industry level—dramatically more efficient through AI represents the greatest opportunity for broad societal benefit, potentially driving deflation rather than merely disinflation in healthcare costs.