EvenUp

Why Simple ChatGPT Wrappers Are Losing Value: AI Model Makers Integrate Features, Pushing Startups to Control Full Industry Processes

Early startups that built businesses by wrapping large language models like ChatGPT are rapidly losing their edge as OpenAI, Anthropic, and other developers directly embed specialized capabilities into their core platforms. According to the venture firm NFX, startups must now move beyond narrow add-on tools and instead take ownership of complete industry workflows, such as building full legal services or end-to-end supply chain management systems. The initial wave of wrapper companies focused on tasks like generating ad copy, handling customer support, assisting sales teams, and searching legal documents, expecting base models to remain limited in specialized domains. This assumption proved incorrect as major AI providers added robust features for coding, document handling, and content creation, eroding the competitive advantage of single-task startups. Notable examples include Jasper, which raised $125 million at a $1.5 billion valuation before pivoting after revenue misses and layoffs, alongside more resilient firms like EvenUp, Blitzy, Tomo, and Seso that embed AI deeply into comprehensive services. Even large legal practices such as Freshfields are partnering directly with model developers, though these efforts require significant compute resources and in-house expertise. NFX emphasizes that deep domain knowledge, proprietary data, established sales channels, and control over entire service pipelines are far harder to replicate than isolated AI features.