The best barometer for AI's enterprise value is not replacing the bottom 5% of workers. A better goal is empowering most employees to become 10x more productive. This reframes the AI conversation from a cost-cutting tool to a massive value-creation engine through human-AI partnership.

David Vélez sees AI's potential beyond optimizing operations. He believes it will provide sophisticated, personalized financial advice to the masses, democratizing wealth management and solving for the 99% who lack access to true financial guidance, unlike their wealthy counterparts.

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").

The primary impact of AI in investment banking isn't headcount reduction but a massive productivity lift. By automating 80% of the work for initial drafts of pitch decks and models, AI frees up senior bankers' bandwidth. This allows them to pursue a greater number of new engagements, fundamentally expanding the firm's capacity for new business.

Merely deploying AI tools like Copilot to employees offers minimal value. The real revolution is using AI to re-engineer core processes from the ground up. For example, AI can reduce a six-week credit file preparation to 14 minutes, forcing a fundamental rethink of roles and requiring massive reskilling efforts.

Most view AI for efficiency, but its true power lies in handling routine tasks to free up human talent. This unlocks capacity for strategic, creative, and relationship-driven work that fuels innovation and growth, shifting the question from cost savings to new capabilities.

The future of financial analysis isn't job replacement but radical augmentation. An analyst's role will shift to managing dozens of AI agents that perform research and modeling around the clock, dramatically increasing the scope and speed of idea generation and validation.

The massive investment in AI seems disproportionate to the software market's size. However, its true potential is in automating and augmenting the services industry, which is 25 times larger than software, thus justifying the spend.

Just as electricity's impact was muted until factory floors were redesigned, AI's productivity gains will be modest if we only use it to replace old tools (e.g., as a better Google). Significant economic impact will only occur when companies fundamentally restructure their operations and workflows to leverage AI's unique capabilities.