Gartner expects 60% of organizations to adopt smaller software engineering teams by 2029

By 2029, 60% of organizations will use software teams of 2 to 5 people, up from 15%. Gartner warns this AI shift requires protecting junior roles to avoid talent shortages.

Categorized in: AI News Product Development
Published on: Jul 08, 2026
Gartner expects 60% of organizations to adopt smaller software engineering teams by 2029

By 2029, 60% of organizations will run software engineering with teams of two to five people, up from 15% in 2026, according to new Gartner research. The jump, driven by AI automating routine coding tasks, pushes product developers to blend business strategy with technical oversight.

AI drives the move to leaner teams

Gartner said the adoption of smaller teams is not a cost-cutting measure. "These 'tiny teams' are not intended as a cost-cutting measure but as a way to better combine human expertise with AI capabilities," Gartner said. Current implementations typically include four to five members, with some teams operating effectively with as few as two or three people.

Platform engineering teams back these compact groups by providing standardized workflows, automation, and self-service AI tools. That support allows product teams to focus on higher-value work instead of repetitive infrastructure tasks.

What the shift means for product development roles

Traditional software engineering roles are expanding. Members of smaller teams will take on a wider set of responsibilities, including understanding business objectives, contributing to product design, and overseeing AI agents.

As product teams shrink, staying current with AI for Product Development becomes essential for professionals who must now oversee AI agents and connect business goals with technical execution.

The junior talent pipeline at risk

Gartner cautioned organizations against cutting junior-level hiring. Relying on AI to replace entry-level roles could weaken knowledge transfer, limit the internal talent pipeline, and increase dependence on recruiting experienced engineers.

"By 2028, organizations that use AI primarily to reduce junior software engineering roles risk creating long-term talent shortages within their engineering workforce," Gartner said.

Why this matters for product development

Product development leaders face a dual challenge: using AI to run leaner, faster teams while protecting the entry-level roles that feed long-term talent. The research signals that success in the coming years will require hiring for broad, cross-functional skills and ensuring that junior engineers remain part of the mix.


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