The primary constraint in professional services is human capital—availability, skills, and location. AI agents, working in hybrid teams with humans, remove this bottleneck. This unconstrains service delivery, potentially expanding the total addressable market by seven to eight times by meeting previously unmet demand.

Focusing on AI for cost savings yields incremental gains. The transformative value comes from rethinking entire workflows to drive top-line growth. This is achieved by either delivering a service much faster or by expanding a high-touch service to a vastly larger audience ("do more").

Don't view AI through a cost-cutting lens. If AI makes a single software developer 10x more productive—generating $5M in value instead of $500k—the rational business decision is to hire more developers to scale that value creation, not fewer.

VCs have traditionally ignored the massive $16T services sector due to its low margins. AI automation can fundamentally change this by eliminating repetitive tasks, allowing these companies to achieve margin profiles similar to software businesses, thus making the sector newly viable for venture investment.

Instead of merely replacing jobs, AI will act as a force multiplier on the economy. AI companies will capture value by taking a small percentage—a 'tax'—on the significant productivity gains (e.g., 30-50%) they provide to knowledge workers. This model explains how AI platform revenues can scale to hundreds of billions.

Coastline Academy frames AI's value around productivity gains, not just expense reduction. Their small engineering team increased output by 80% in one year without new hires by using AI as an augmentation tool. This approach focuses on scaling capabilities rather than simply shrinking teams.

Measuring AI's value by hours saved is misleading for law firms, as it can imply lower revenue. The true ROI comes from what lawyers do with that saved time: pursuing more complex strategies, conducting deeper analysis, and spending more time with clients—high-value work previously constrained by time.

While AI can reduce labor costs, the most powerful value proposition is generating significantly more revenue. The AI company Salient found success not by pitching savings on call center staff, but by proving its AI could increase debt collection rates by 50%—a far more compelling outcome for clients.

Morgan Stanley is leveraging AI not just for efficiency but to fundamentally reallocate how its analysts spend their time. By automating routine tasks, the firm aims to double the portion of time analysts spend directly with clients from approximately 25% to 50%, thereby increasing high-value engagement.