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Selling software tools puts companies in direct competition with ever-improving foundation models. Sequoia Capital's Julien Bek argues the defensible play is to build a "software business that masquerades as a services firm," selling completed work and capturing the larger services market.
Industries with historically low software adoption (like trial law or dentistry) are now viable markets. Instead of selling a tool, AI startups are selling an outcome—the automation of a specific labor role. This shifts the value proposition from a software expense to a direct labor cost replacement.
Founders are stuck in a SaaS mindset, selling tools to existing service providers. The bigger opportunity is to build new, AI-first service companies (e.g., accounting, legal) that use AI to deliver a superior end-to-end solution directly to customers.
The current moment is ripe for building new horizontal software giants due to three converging paradigm shifts: a move to outcome-based pricing, AI completing end-to-end tasks as the new unit of value, and a shift from structured schemas to dynamic, unstructured data models.
The business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.
The B2B software business model is evolving from licenses and subscriptions toward outcome-based pricing, where customers pay for successful task completion. While currently limited to measurable areas like customer support, this model represents the next major disruptive wave as AI makes more outcomes quantifiable.
Thrive Capital invested in an AI-powered accounting firm, not an accounting AI software tool. Their thesis is that in some industries, the service provider who uses AI to become hyper-efficient will capture more value than software vendors selling tools to a fragmented customer base. This is a bet on the business model, not just the technology.
The next major business model shift in software is from seat-based pricing to outcome-based pricing (e.g., paying per task completed). This favors AI-native newcomers, as incumbents will struggle to adapt their GTM and financial models.
AI is transforming business models by enabling companies to sell software bundled with the actual work it performs. This "work-as-a-service" approach is unlocking historically software-resistant markets like legal and construction, where the value proposition is the completed task, not just the tool.
Move beyond selling features by offering a "Business Process as a Service" (BPaaS) solution. This involves contracting directly on the business outcomes clients care about, such as cost savings or revenue optimization. This model delivers an end-to-end capability and aligns your success directly with your customer's, creating a powerful value proposition.
In a world where AI makes software cheap or free, the primary value shifts to specialized human expertise. Companies can monetize by using their software as a low-cost distribution channel to sell high-margin, high-ticket services that customers cannot easily replicate, like specialized security analysis.