You can't sue an AI model provider like Anthropic when an agent makes a costly mistake. Enterprises require a human-led organization, like a consulting firm, to take accountability and liability. This fundamental need for a "throat to choke" ensures the relevance of services firms in the AI era.

A crucial function for humans in an AI-driven economy is to serve as a target for lawsuits. Because you can't easily sue a data center, regulated professions will require a 'human in the loop' to take legal responsibility. This creates a valuable economic role for humans: being a legally accountable entity.

In markets like law, AI-native services can't just sell automation. For high-stakes work, customers are buying an "insurance policy" of human accountability. AI services win where the purchase is based on a quantifiable outcome (e.g., visa approval rates) rather than subjective professional judgment.

Roles requiring accountability will persist despite AI's capabilities. An LLM can't be a lawyer because it can't be disbarred; it can't be held responsible. This principle highlights that the need for human validation and liability will protect many professions.

In fields like law and consulting, AI will automate the generation of work products (e.g., contract reviews). This commoditization will shift value upstream to uniquely human skills like providing strategic advice and experienced judgment based on the AI's output.

AI automates low-value tasks, meaning human hours are spent on high-level strategy. This increases the value and productivity of each billable hour, justifying significant rate hikes even as the total hours per project decrease, ultimately lowering the client's total bill.

Professional services firms on a billable hour model face an existential threat from AI. As AI compresses work from hours to minutes, clients will demand savings, forcing firms to transition to defensible, value-based pricing models or risk obsolescence.

VC Keith Rabois highlights a core conflict: law firms billing by the hour are disincentivized from adopting AI that makes associates more efficient, as it reduces revenue. This explains why corporate legal departments are faster adopters—their goal is to cut costs.

Many believe AI will kill the billable hour, but it's a powerful mechanism for pricing thousands of unique, complex client engagements at scale. Negotiating fixed fees for every project is operationally unmanageable for large firms, making the billable hour a durable, standardized solution.