As AI Lowers Coding Costs, Proprietary Data and Distribution Drive Value

Yahoo Finance ·

Anthropic's enterprise data reveals that its Claude Code tool operates at a median cost of roughly $13 per active developer daily, producing outcomes that historically demanded entire engineering teams and months of labor. As software creation becomes exceedingly inexpensive, code loses its traditional value, leaving proprietary data and deep operational integration as the ultimate competitive moats. Demonstrating this shift, Salesforce (CRM) introduced a pricing structure in June charging $2 per successfully resolved customer service case while taking zero payment for failed AI interactions, effectively abandoning outdated per-seat pricing models as artificial intelligence takes over human tasks.

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Anthropic's Claude Code is drastically reducing software production costs at an affordable rate of about $13 per developer per day. As the value of code itself declines, companies now face a phase where proprietary data and distribution networks must be secured as core competitive advantages. Salesforce is also accelerating business model transformation by introducing a per-resolution billing system for AI agents instead of human-seat pricing.

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DYAX 전담 분석

As the advancement of AI tools lowers software development costs, traditional labor-centric revenue models are taking a hit. On the other hand, companies with proprietary data and customer-centric distribution networks are building strong moats and gaining new revenue generation opportunities.

In the bullish scenario, platform companies possessing unique data emerge as the winners of the AI era, while in the bearish scenario, simple software outsourcing and labor-based companies face margin pressure due to intensified price competition. Attention must be paid to the speed of billing model transition and the value of corporate data assets going forward.

AI가 생성한 분석으로 투자 자문이 아닙니다.

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