Microsoft Plans to Release Multiple Self-Developed AI Models Next Week, Focusing on Programming Models to Strengthen GitHub Copilot's Competitiveness
This move aims to counter the encroachment of Cursor and Claude Code in the coding market, while also launching various vertical models for transcription, reasoning, voice, and image.
In market mechanisms, cloud giants are accelerating self-development to reduce external dependencies, shifting funding from high-priced external model procurement to internal model development. Microsoft benefits from cost optimization and enhanced ecosystem control, while OpenAI and Anthropic face pressure from major clients building alternatives.
Source: Public Information
ABAB AI Insight
Microsoft previously signed a long-term exclusive agreement with OpenAI that restricted its development of human-level AI until April 2026. This large-scale self-development continues the accumulation from Mustafa Suleyman's team during the Inflection AI period and gained greater freedom after modifying cooperation terms in April this year.
In terms of capital strategy, Microsoft is concentrating resources on self-developed models to reduce reliance on OpenAI's free licensing (until 2032) and paid procurement from Anthropic, distributing low-cost alternatives through Azure. The motivation is to control the operational costs of GitHub Copilot and 365 Copilot, while reserving key leverage for future independence.
Similar cases include Google shifting from external reliance to self-developed Gemini series, and Amazon vigorously developing its own models beyond Anthropic; currently, Microsoft is at a critical juncture transitioning from "deep binding with OpenAI" to a "multi-vendor + self-developed" hybrid strategy.
Essentially, this represents a restructuring of the industry chain: cloud and software giants are shifting from external large model procurement to self-developed vertical capabilities, driven by high procurement costs and the risk of exclusive agreements expiring, forcing capital to reallocate to internal infrastructure, thereby regaining pricing power and long-term autonomy in the enterprise AI market.
ABAB News · Cognitive Law
The deeper the dependence, the later the independence; the higher the cost, the more urgent the self-development.
Free licensing is a gift, but also a future shackle.
Excellent platforms sell infrastructure, while dependents sell others' models.