AI Agents as Ruthless Customers May Squeeze App Pricing Power
Microsoft's Charles Lamanna predicts that most business software will operate behind AI agents rather than directly serving users, fundamentally changing the economics of software. According to Lamanna, agents will select services based solely on price, speed, and reliability, eliminating the pricing power and customer loyalty that traditional apps currently enjoy. The shift will likely force most business software into a "headless" model where AI assistants handle interactions on the backend.
Microsoft's Lamanna distinguishes between two categories of business applications based on user engagement patterns. "Thick" applications demand sustained user attention, exemplified by specialized tools like computer-aided design software or spreadsheet programs used by financial professionals throughout their workday. Conversely, "thin" applications represent the majority of business software, characterized by brief, infrequent interactions. According to Lamanna's framework, these thin applications will increasingly operate invisibly to end users, with AI systems handling backend operations instead.
The shift toward agent-mediated software interactions presents both challenges and opportunities for technology companies. Microsoft itself confronts this dynamic: while promoting Copilot as an intermediary layer, the company simultaneously depends on third-party software vendors accepting integration through connectors. Amazon's selective approach to agent access—blocking Meta's Muse while enabling Anthropic's Claude for merchant tools—illustrates how platforms are attempting to maintain control over their ecosystems during this transition.
This development could substantially reshape competitive dynamics in enterprise software markets. If AI agents become the primary interface for most business applications, companies may lose traditional competitive advantages tied to user experience design and brand loyalty. Smaller vendors and specialized software providers might face particular pressure as cost-optimization logic dominates purchasing decisions. Conversely, organizations developing robust agent-compatible APIs and superior backend performance could capture market share from established players, potentially democratizing software competition around measurable technical metrics rather than established market position.