New data released by Vercel highlights that typical artificial intelligence models now experience a half-life of roughly six weeks. According to the company's AI Gateway Production Index report for November 2026, teams using paid AI services spend an average of only four weeks with a newly launched model before switching to an alternative to keep their code development and agents competitive. This trend underscores a distinct lack of brand loyalty among development teams, who are eager to stay ahead of the curve as competing platforms roll out fresh releases.
Vercel's analysis of token transactions through its gateway indicates that developers adopt new models within days of their release. Because modern development environments, code editors, and tool wrappers make pointing an environment to a new model a relatively painless process, switching is heavily baked into routine workflows. Data breaking adoption rates into specific windows shows a clear trajectory toward increased early adoption beginning in June 2026. By September 2026, nearly 17 percent of developers were utilizing models that had been available for less than two weeks. While older models are sometimes retained, they generally see significantly less usage and lower token spending.
Key takeaways
- Paid AI models see teams sticking with them for an average of four weeks before switching.
- Vercel estimates that AI models have an effective half-life of approximately six weeks.
- Anthropic Claude Opus 5.5 led total spend in its first full month following its September launch.
- One in six AI development teams are now actively using a video model.
Shifting market dynamics and Anthropic dominance
The rapid cycle of adoption and abandonment means that initial intensity peaks within a month of a model launching, only to wane when the next competing alternative arrives. Illustrating this swift rotation, Anthropic Claude Opus 5.5 emerged as the top model by spend during its first full month following its September 22, 2026, launch, drawing just over 14 percent of total spend in October.
Furthermore, the market for widely used paid models shows Anthropic holding a commanding presence. Models such as Sonnet 5.5 at 26 percent, Haiku 5.5 at 22 percent, Haiku 4.5 at 20 percent, and Opus 5.5 at 18 percent capture the highest adoption figures, though many teams appear to rely on multiple models simultaneously. Image and video generation tools also saw notable growth, with one in six AI development teams deploying a video model, rising from 10 percent in prior months. Within this category, OpenAI captured a rare bright spot as its GPT-Image-2.5 Sunburst led image generation model spending during October.
Understanding the rapid AI rotation
The accelerating pace at which engineering teams discard older systems in favor of new releases points to a hyper-competitive landscape where standing still means falling behind. As labs release frequent updates, developers routinely test and integrate the latest offerings within days. This constant churn explains why attention rapidly shifts away from older versions, leaving them with reduced traffic and minimal token expenditure.
Ultimately, the six-week half-life metric crystallizes how fast the generative AI ecosystem moves today. With easy integration tooling and a relentless stream of model updates from competing labs, developer attention remains entirely transient, prioritizing whichever platform offers the sharpest edge for immediate code development and AI agent deployment.
Comments