Broadlume CEO: AI Makes Custom Software for Long Tail Industries Economically Viable
Todd Saunders, CEO of Broadlume, pointed out that during the era of traditional monolithic software, developing dedicated features for niche industries was economically unfeasible. However, AI significantly reduces development and maintenance costs, making software customization for long tail industries a reality and returning control to frontline builders.
This assessment aligns with the current trends in vertical software (vertical SaaS): AI-driven code generation and automated operations enable the development of specialized tools even in small market sizes, breaking the past constraint of needing to create general products to be profitable.
Similar views have emerged in various English-speaking tech and investment circles, including discussions by a16z on "AI-native vertical SaaS" and several startups using AI to rapidly build tools for niche industries, validating that long tail demand is being activated.
Source: Public Information
ABAB AI Insight
AI is fundamentally changing the software economic model. Traditional SaaS relies on economies of scale: high R&D costs and low marginal costs mean that only sufficiently large markets can dilute costs, forcing products toward standardization and generalization. AI shifts the "development cost curve" downward, allowing previously non-commercially viable niche demands to achieve ROI.
This will directly alter the competitive structure of the software industry. In the past, it was "a few platform companies covering most needs"; in the future, it is likely to evolve into "a large number of micro-vertical tools covering niche scenarios." Software competition will shift from scale to responsiveness and fit, with pricing power moving from platforms to frontline builders closer to users.
From a labor and production relationship perspective, this represents a "redistribution of production tools." AI releases some software production capabilities from large engineering teams to individuals or small teams, effectively lowering the entry barrier. This is similar to how cloud computing lowered infrastructure barriers historically, but this time it lowers the "cognitive and development capability barriers."
A deeper impact is that the digitization process of long tail industries may accelerate re-evaluation. Many previously overlooked small industries (such as regional services and traditional manufacturing segments) will see the emergence of customized digital tools, which will not only change the scale of the software market but may also alter the efficiency structure and profit distribution within these industries.