AI Just Gave You Superpowers — Now What?

2026-03-19 · Source: The a16z Show · Field: Finance & Economics — Economic Analysis & Policy, Capital Markets & Investment Management, FinTech & Digital Financial Services · Depth: Advanced, extended

Summary

A discussion featuring Christian Catalini (MIT Crypto Economics Lab, LightSpark) and Eddy Lazzarin (a16z crypto CTO) unpacks Catalini's paper, "Some Simple Economics of AGI," exploring AI's economic impact. The paper posits that AI grants individuals "superpowers," enabling "one person billion dollar startups" by providing "multiple employees for \$200 a month." This shift redefines labor, emphasizing human "verification" for non-measurable tasks and "meaning-making" over automation. The "AI sandwich" model describes a director overseeing agent swarms and top verifiers, though the "codifier's curse" means verifiers must continuously upskill. The conversation also highlights the "Trojan horse" risk of systemic failures from unverified AI output and crypto's crucial role in providing deterministic verification, identity, and provenance in an increasingly automated and fragmented economy.

Key takeaway

For entrepreneurs and professionals navigating the AI era, recognize that AI provides immense capability, enabling rapid scaling with fewer resources. You should focus on developing "director" skills to steer AI agents and master verification of complex, non-measurable outputs. Invest in robust verification tooling, including cryptographic primitives, to mitigate systemic risks from unverified AI. This approach allows you to exploit new surpluses and accelerate mastery, transforming career paths and business models.

Key insights

AI's automation shifts human value to verification of unmeasurable tasks, demanding continuous adaptation and new coordination mechanisms.

Principles

• Anything measurable will be automated.
• Human value lies in non-measurable verification.
• AI accelerates mastery and experimentation cycles.

Method

The "AI sandwich" model suggests a human "director" steers an agent swarm, with "top verifiers" ensuring output quality, requiring continuous upskilling to avoid the "codifier's curse."

In practice

• Harness compute to guide agent swarms.
• Focus on "director" roles for strategic oversight.
• Utilize crypto for identity and provenance.

Topics

• AGI Economics
• AI Automation
• Human-AI Collaboration
• Verification Systems
• Cryptoeconomics
• Future of Work

Best for: Executive, Entrepreneur, Investor, Director of AI/ML

Related on AIssential

• AI Is Forging A New RevOps Identity — AI fundamentally shifts RevOps identity from technical mastery to judgment, trust, and decision governance.
• Intelligence Per Dollar — AI model evaluation is shifting from raw performance to cost-efficiency, prioritizing "intelligence per dollar."
• AI is becoming the opium of the people. — AI's emerging business model centers on cultivating user dependency to enable subscription-based "rental" of cognitive abilities.
• MLWhiz Weekly Recsys/ML/GenAI Newsletter # 9 - The week AI started its IPOs — The AI industry is rapidly maturing, transitioning to public markets while new models and research advance core capabilities.
• Another 1263635 startup’s destroyed! — The headline "Another 1263635 startup's destroyed!" suggests AI's disruptive power is causing widespread startup failures.
• Hybrid Squads Model for Enterprise Product Teams — Balance enterprise stability with execution agility by separating team ownership from temporary project-based capacity allocation.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The a16z Show.