Distribution Strategy Group's AI Top 25 ranking reveals a wide execution gap across wholesale distribution: a small group of distributors is deploying artificial intelligence at scale while the majority of the sector remains in early, fragmented experimentation.

The ranking, published by Distribution Strategy Group, does not measure revenue impact directly. It evaluates distributors on the maturity and reach of their AI initiatives — an asserted measure of execution rather than a disclosed financial metric such as gross margin or inventory turns. That distinction matters: the firms at the top of the list are those that have moved AI from pilot projects into operational workflows, while the bulk of the industry is still running isolated tests with limited channel or customer impact.

A small leading group, a long tail

The core finding of the AI Top 25 is the spread between leaders and laggards. Distributors that made the upper tier of the ranking have embedded AI into core commercial and operational functions — pricing, inventory management, customer-facing tools — rather than confining it to innovation labs or single-use cases. The remainder of the industry, according to the ranking, shows an execution gap: activity without scaled deployment.

For a sector where margin compression, inventory turns and customer retention drive economics, the difference is consequential. AI applied to pricing and inventory decisions reaches gross margin directly; AI confined to pilots does not. The ranking implies that the leading distributors are capturing that margin effect now, while most competitors are not.

What is measured versus what is claimed

Distribution Strategy Group's list rests on assessed execution maturity, not on audited transaction volumes or disclosed returns. No revenue figures, acquisition prices or platform transaction data accompany the ranking. Readers should treat the headline — a wide execution gap — as the supported finding, and any implied connection between AI leadership and margin performance as an inference the data does not yet quantify.

What the ranking does establish is uneven adoption across the wholesale channel. Some distributors have built the organizational capability — data infrastructure, governance, internal skills — required to run AI in production. Others have not, and the gap between the two groups is widening rather than narrowing, according to the study's framing.

Why the gap matters for channel power

In wholesale distribution, scale advantages compound. Distributors that operationalize AI in pricing, demand forecasting and service can convert better decisions into share gains at the expense of slower rivals, particularly in fragmented verticals where no single player dominates. The AI Top 25 suggests the industry is splitting into two camps: an executing minority and an experimenting majority.

The strategic risk for the majority is not technological but economic. Pilots cost money without moving gross margin or inventory turns. Scaled deployment is where the return sits, and the ranking indicates only a small group has reached that stage.

Outlook

Distribution Strategy Group's ranking positions the execution gap as the defining AI story in wholesale distribution for the near term, and the open question it leaves is whether the experimenting majority can close that gap before the leading group converts its head start into durable share and margin advantage.