The ultimate impact of AI isn't just enhancing employee productivity via software. It's about companies transitioning from selling tools to selling outcomes. For example, an HR software provider could evolve to sell the automated work of an HR professional, handling payroll queries and benefits directly.

As ad platforms like Google automate bid management, an agency's value is no longer in manual "button pushing." The new competitive edge is the ability to feed the platform's AI with superior client data and insights. Agencies that cannot access and leverage this data will struggle to demonstrate value.

AI's primary impact won't be eliminating jobs but enabling SaaS companies to move up the value chain. Instead of just providing tools (e.g., Adobe Photoshop), companies will use AI to offer full-service solutions (e.g., an AI-powered design studio), putting them in direct competition with their current users.

Agencies can no longer rely on billable hours for tasks AI can automate. Their future lies in strategic consulting, helping clients navigate AI adoption, manage change, and develop custom AI agents and applications, which are currently unmet needs for most brands.

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.

The greatest value in recruiting has always been in the service layer—the human judgment required to find and engage talent—not in software like CRMs or ATSs. AI agents represent the first technology capable of automating this high-margin service work at scale, unlocking a decacorn-level opportunity previously inaccessible to pure software plays.

AI enables companies to sell outcomes rather than just product usage. To do this profitably, they need greater control over the entire delivery process. This is driving a trend of vertical integration, where companies expand into adjacent parts of the value chain to own the end-to-end experience and capture more value.

The most profitable way to leverage AI tools without code is to package their output as a managed service. Instead of selling access to an AI, sell lead generation, process automation, or financial analysis on a monthly retainer, with the AI doing the heavy lifting behind the scenes.

The biggest opportunity for new entrepreneurs is selling "AI transformation" services. Much like the social media marketing agency (SMMA) boom, this model involves learning AI tools and then offering to audit and implement them for traditional businesses that recognize the need to adapt but don't know where to start.