Gartner: 60% of Companies Will Adopt Small AI-Assisted Engineering Teams by 2029

Research firm Gartner published a forecast on July 7, 2026 predicting that by 2029, 60 percent of organizations worldwide will adopt a model of small, AI-assisted engineering teams, up from just 15 percent today. Analysts emphasize this isn't simple cost-cutting, but a restructuring of how humans and AI systems divide work.

According to Gartner, current 'tiny teams' typically consist of 4 to 5 people, though some organizations already operate with teams as small as 2-3. The lower end of that range is expected to become more common as employee skills and the capabilities of AI models themselves mature.

New Roles, Not Cuts

The key difference from traditional workforce reductions is that each member of a small team takes on a broader range of responsibilities, spanning business goals, product experience design, and oversight of AI agents handling routine technical tasks. Versatility now matters more than narrow specialization.

Gartner notes that such teams typically include a product manager, a user and agent experience (UX/AX) designer, and at least one software engineer skilled at working with AI tools. This marks a departure from the model in which team size was the main indicator of a company's capability.

AI is changing software engineering by shifting roles, redesigning teams, and increasing demand for software engineers rather than reducing it - Aliyah Camacho, Gartner analyst

Risk for Junior Developers

At the same time, analysts warn of a trap awaiting companies that treat AI as a pretext for freezing junior hiring entirely. Overly aggressive cuts at entry-level career stages could weaken knowledge transfer within teams, narrow the talent pipeline, and in the long run force companies into costly competition for increasingly expensive senior hires.

Gartner estimates that organizations relying solely on AI to eliminate junior positions risk hollowing out their own engineering talent base as early as 2028. The warning feeds into a broader debate about who will learn the programming trade in a world where AI agents increasingly handle routine tasks.

The Foundation for Small Teams

For the tiny-team model to actually work, companies need to build out platform engineering, teams responsible for consistent work environments, automation, and self-service AI tools available to the rest of the organization. Without that infrastructure, small teams would quickly get bogged down in technical upkeep instead of focusing on the product.

Companies that treat this as a simple headcount reduction will fail. Companies that use it to raise engineering standards will define market leadership for the next decade - Sarah Miller, analyst tracking enterprise software trends, Bloomberg Intelligence

What This Means for Polish Companies

For Poland's IT market, where the number of companies adopting AI is growing at roughly 36 percent year over year, the fastest pace in the entire European Union, Gartner's forecast is a signal to rethink team structure now, not just headcount. Companies planning AI-driven staff reductions should invest in platform tooling in parallel, without which smaller teams won't keep up the pace of work.

Sources: Gartner (gartner.com), CxOVoice (cxovoice.com), Archyde (archyde.com)