AI adoption is not limited to tech and white-collar work; it has become a universal business consideration. For example, a lumber mill in Vermont is using AI to sort planks, a task for which they struggled to hire skilled labor. This shows AI is being deployed as a practical solution to specific, localized labor shortages in legacy industries.

AI agents are rapidly transforming software development and knowledge work, but their impact on professions requiring physical robotics, like surgery or auto repair, is on a much longer timeline. The AI revolution is arriving in phases, with the digital world being upended first and the physical world to follow later.

While AI's market performance has been concentrated in the tech sector, its greatest future value will be unlocked as it transforms other industries like healthcare, logistics, and consumer goods. Buchwald believes investors are underestimating this broadening impact, which will create new winners and losers across the entire economy.

The most significant societal and economic impact of AI won't be from chatbots. Instead, it will emerge from the integration of AI with physical robotics in sectors like manufacturing, logistics (Amazon), and autonomous vehicles (Waymo), which are currently under-hyped.

While sectors like legal AI receive intense media and investor attention, the global manufacturing market represents a vastly larger, greenfield opportunity at $20 trillion versus legal's $1 trillion. This makes industrial AI one of the most attractive yet underserved problem spaces for founders.

While AI can improve existing software categories, the most significant opportunity lies in creating new applications that automate tasks previously performed by humans. This 'software eating labor' market is substantially larger than the traditional SaaS market, representing a massive greenfield opportunity for startups.

The initial job creation from AI isn't just for software engineers. It's driving a massive boom in physical infrastructure like data centers and chip fabs, creating high demand for skilled trades like electricians, plumbers, and construction workers.

VC Joe Lonsdale argues investors are overly focused on software 'infinity stories' that could be worth trillions. Meanwhile, the 'real economy' (construction, quarrying, manufacturing) represents 85% of capital and is ripe for AI-driven transformation. These less-hyped applications represent a massive, misunderstood, and less competitive investment area.

The fear of AI taking jobs is misplaced. With declining populations and aging workforces, essential industries like farming and trucking face severe labor shortages. AI-driven autonomy isn't a threat but a timely solution, filling critical gaps that humans are increasingly unwilling or unable to fill.