The era of comfortable mediocrity in the software industry is over. Public markets have recalibrated valuations, signaling that the old assumptions about terminal value no longer hold. According to analysis from a16z Blog, software companies now face a stark binary choice: accelerate revenue growth by over 10 percentage points annually through new AI-native products, or rebuild operations to achieve true operating margins of 40%, ideally 50%, including stock-based compensation.
The "adjusted jig" is up for public software firms. While growth has slowed and valuations compressed, many have failed to achieve genuine profitability once stock-based compensation is treated as a real expense. This leaves them too slow for growth multiples and too diluted for fortress multiples.
The Two Paths to Value Creation
Path one demands a significant acceleration of revenue growth, driven by genuinely new AI-native products. This isn't about bolting on chatbots to existing offerings; it requires developing distinct products that can move the company's total growth rate by at least 10 points within 12 months. Success hinges on rapid organizational rebuilding, identifying and empowering a core team of high-impact individuals, and a wholesale redesign of R&D to focus on net-new AI initiatives.
This path necessitates a swift restructuring of leadership, with VPs and directors evaluated on their commitment to the new AI-driven strategy. Up to 50% of R&D should be dedicated to these new products, organized into agile, cross-functional pods. Product managers must be customer-facing, driving pure product discovery, while top engineers focus on evolving the core architecture to support rapid innovation. The business model must also shift, embracing token-based or per-use pricing over traditional seat-based models, as customers increasingly seek labor efficiency savings through automation.
Path two focuses on achieving 40%+ true operating margins, inclusive of stock-based compensation, within 12-24 months. This requires more than incremental layoffs; it demands a radical flattening of management layers, standardization of processes, minimization of bespoke services, and a ruthless focus on efficiency. Every share issued must be scrutinized as a transfer from owners to employees.
Achieving high margins involves strategic pricing increases where workflow or switching costs are high, moving long-tail customers to higher price floors, or allowing them to churn. The organization must be redesigned around a smaller, highly motivated, and productive workforce. This includes significantly increasing token spend per engineer to maximize AI-driven productivity gains, potentially enabling individual engineers to manage multiple AI agents simultaneously. Companies must also honestly assess weakening moats, as easier integrations and cross-system agent capabilities will intensify core-business price pressure.
The choice is clear: build the next product wave or build the cash machine.
