- Developers change from loyalty to flexibility when Openai is leading but Deepseek gets the earth quickly
- Microsoft fights for developer Mindshare with only a 10% adoption rate
- AI integration becomes slimmer when teams fall formal structures and focus on usable tools
Openai has dominated the LLM room for some time and remains the leading choice for many developers, but market dynamics and loyalty seem to change, new research has claimed.
A survey conducted by Vercel of the 656 App Builders found that 87% use Openai’s models and 83% rely on its inferencies -. However, developers now use an average of two providers, and 60% have changed suppliers within the last six months – which raises questions about their loyalty.
Deepseek is now used by almost one -third of companies (29%), while Microsoft’s LLMs, on the other hand, seem to be fighting, with only 10% of the respondents reporting on the latter, and 9 out of 10 developers do not consider it a viable opportunity.
“AI dissolves the boundaries between roles. We see new product designers mix UX, UI and code in a creative stream – thanks to tools like Vercel, V0, Uizard and Cursor. Whether junior or senior leader, someone can now build, test and send ideas independently – and it’s not just effective,” said Nicolas Le Pallerc, CTO, Emea – AKA
AI is now building around clear use cases where developers prioritize tools – not teams. Fifty-five percent of respondents said they have no dedicated AI team, while 57% reported no specific AI management structure. Instead, success with AI depends on clear priorities and the right tools.
“By embracing advanced AI technologies, we give our teams the opportunity to work smarter and faster,” Dr. Jan Ittner of BCG X, repeating the feeling that an AI author or developer tool may be more valuable than another rent.
Product AI features are now a priority for 75% of apps for customer-turned, while only 39% still include traditional support chatbots. Website’s personalization remains under -utilized by 27%, indicating space for future innovation.
Cost control is also an important priority. Over 70% of developers manually test their models and spend less than $ 1,000 monthly – showing how much can be achieved on limited budgets. To reduce costs, only 14% train their models, while 60% instead use retrieval-augmented generation (RAG) and vector databases.
Focus on tools stems from a perceived “overype” around AI, with an average rating of 6.4 out of 10. Still, developers gave a 7.7 out of 10 when asked if AI will transform their industries in the next 12 months.
In a changing field where speed, precision and adaptability mean more than scale, the best LLM for coding is not fixed – it is the one that solves today’s problems while tomorrow’s door is open.
