Salesforce survey says middle managers are the linchpin of AI adoption, and companies need to enable them

Salesforce is pushing back against a long-running idea that AI will make middle managers less important. In a new survey, the company argues that managers are becoming the key bridge between AI strategy and day-to-day work redesign, even as many of those managers say they are personally accountable for adoption but lack enough support to keep pace.

The research, based on a double-anonymous survey conducted March 10 to March 18, 2026, collected 538 responses from professionals in management roles within the United States. Salesforce reports that two-thirds of managers are optimistic about AI’s role in the future of work and that a majority say they are already seeing benefits from the technology.

At the same time, the survey highlights a practical tension that could slow or warp deployment. Managers, Salesforce says, feel responsible not only for encouraging use of AI tools but for demonstrating successful AI adoption within their teams. Yet many also report feeling uncertain about their own ability to keep up with AI changes, suggesting organizations may be delegating an adoption mandate without fully equipping the people tasked with it.

Salesforce quantifies that mismatch in several ways. The company says 78% of managers agree or strongly agree they are personally responsible for ensuring their team successfully adopts AI. At the same time, 51% report anxiety about keeping up with AI themselves, and nearly half, 48%, say they feel pressure from leadership to demonstrate AI adoption, not just enable it.

The survey also points to a measurement gap. Salesforce reports that only 32% of managers work in organizations with formal AI tracking. That matters because managers in many companies appear to be held accountable for outcomes they cannot yet measure or document with agreed metrics, according to the survey’s framing.

The data on how managers use AI offers a partial explanation for why they feel both leverage and accountability. Salesforce says that 77% of managers are saving more than three hours per week with AI tools, and it describes data analysis as the top use case, followed by creative projects and research. Salesforce portrays these patterns as evidence that AI is increasingly used for upstream decision-making rather than only for efficiency tasks.

Salesforce connects the findings to its push toward what it calls an “agentic enterprise,” where managers do not simply oversee people but redesign how work gets done with AI. In that model, Salesforce said, managers become what it terms “Agentic Managers,” leading human and agent teams with confidence and translating AI ambitions into practical workflow changes.

To support that transition, Salesforce says it has reimagined tools and training for managers, including Slack-first manager coaching and hands-on AI workshops and challenges. The company also describes a specific Slack feature called “Manager Agent,” an AI-powered partner designed to handle some of the busywork of people management and to streamline tasks such as resolving employee issues, providing coaching support, analyzing survey results, and facilitating performance evaluations and promotions. Salesforce says Manager Agent saved managers 57,000+ hours in its first year, freeing managers to spend more time coaching and developing teams.

Still, the survey does not offer a full view of how AI adoption outcomes are defined and measured across companies. Salesforce does not, in the published summary, provide details on what “formal AI tracking” entails, what tools the managers used, or how adoption success is quantified beyond managers’ reported perceptions and time savings. The company’s claims also hinge on self-reported data from managers, which can be influenced by optimism, workplace culture, and access to AI resources.