Enterprises are currently overspending on tokens by sending all queries to the most powerful LLMs. A new software category will emerge to intelligently route requests to smaller, cheaper models when possible, creating a critical efficiency and cost-saving layer between companies and foundational model providers.

The excitement around AI often overshadows its practical business implications. Implementing LLMs involves significant compute costs that scale with usage. Product leaders must analyze the ROI of different models to ensure financial viability before committing to a solution.

Google acquired ITA software to enter the airline distribution space but ultimately found it too difficult. They have since partnered with Amadeus, signaling the immense challenge for even the largest tech firms to replicate Amadeus's entrenched network and infrastructure.

Current AI pricing models, which pass on expensive LLM costs to users, are temporary. As LLM costs inevitably collapse and become commoditized, the winning companies will be those who have already evolved their monetization to be based on the value their product delivers.

ServiceNow CEO Bill McDermott calculates that when accounting for human capital, GPU costs, and tokens, rebuilding a simple platform application with an LLM is ten times costlier than using the existing SaaS solution. This challenges the narrative that AI will replace enterprise platforms.

Software has long commanded premium valuations due to near-zero marginal distribution costs. AI breaks this model. The significant, variable cost of inference means expenses scale with usage, fundamentally altering software's economic profile and forcing valuations down toward those of traditional industries.

Parser's AI costs are lower than its server costs. They achieve this by intentionally avoiding the most powerful, expensive LLMs which are often slow and rate-limited. Instead, they find a balance, prioritizing speed and cost-effectiveness to process high volumes affordably.

AI travel agents will likely focus on top-of-funnel search but will still need an aggregator like Amadeus to access complex, fragmented industry data. Amadeus's core IT backbone remains mission-critical in any AI-driven travel world, securing its position.

The AI value chain flows from hardware (NVIDIA) to apps, with LLM providers currently capturing most of the margin. The long-term viability of app-layer businesses depends on a competitive model layer. This competition drives down API costs, preventing model providers from having excessive pricing power and allowing apps to build sustainable businesses.