AI super-users of 2026 are no longer engineers or innovation labs operating on the fringe. They are managers running day-to-day teams inside organizations. As AI adoption moves past experimentation, leaders are asking how to scale it for real impact. The question has shifted from “Should we use AI?” to “Who makes AI work at scale?” According to recent research, the answer is increasingly clear. Millennial managers are becoming the most effective drivers of AI-powered work. Their position, mindset, and skill mix put them at the center of AI transformation.

From AI Curiosity to AI Super-Agency

McKinsey’s 2025 report introduced the concept of AI “super-agency,” a term popularized by LinkedIn co-founder Reid Hoffman. It describes a state where AI meaningfully multiplies human creativity, productivity, and impact across the organization. In this phase, AI is not an add-on tool but woven into how work gets done. The report makes one thing clear: most organizations are far from reaching this stage. Senior leaders are often moving too slowly or lack visibility into how AI is actually used. Meanwhile, AI’s potential rivals—and even exceeds—past industrial revolutions in scope and speed.

McKinsey Data Reveals Who the AI Power Users Are

McKinsey’s data highlights a striking generational pattern. Millennials, particularly those aged 35 to 44, report the highest levels of AI expertise in organizations. Around 62% of Millennials say they are highly skilled with AI, compared to about 50% of Gen Z and just 22% of workers over 65. Most managers and team leaders today fall into this Millennial cohort. They are already supporting teams, answering AI-related questions, and guiding tool adoption. This makes them natural multipliers of AI capability. They are not just users; they are enablers.

Why Millennial Managers Are Perfectly Positioned

Millennial managers sit at a critical intersection between strategy and execution. They translate executive vision into operational reality while staying close to frontline work. This allows them to see exactly where AI can remove friction or improve outcomes. They can move teams from pilot experiments to scaled workflows faster than senior leadership alone. Their proximity to data, tools, and people gives them real-time feedback on what works. Teams are also more likely to engage openly with managers than with the C-suite. That trust helps prevent shadow AI and encourages responsible experimentation.

What Defines an AI Super-User at Work

AI super-users, sometimes called AI scalers or champions, go far beyond basic usage. They apply multiple AI tools directly to their work and design workflows that reduce effort rather than add complexity. They normalize AI use within teams and encourage experimentation with clear guardrails. These managers actively support others by answering questions and sharing best practices. Crucially, they treat AI less like a search engine and more like a collaborator. When super-users also have management responsibility, their influence multiplies rapidly across teams.

Why Managers Matter More Than Adoption Rates

AI adoption is higher than many executives realize. McKinsey found that leaders often underestimate how much AI their teams already use. While leaders assume about 4% of employees rely on AI for a large portion of their work, the real figure is closer to 12%. Despite this, most organizations are still far from AI maturity. Usage alone does not equal impact. Without managerial support, AI remains fragmented and underleveraged. Middle managers are the ones who turn enthusiasm into results.

AI Is Becoming a Core Leadership Skill

AI literacy is quickly becoming a defining management competency. Managers who want to succeed in 2026 need to demonstrate how they’ve enabled AI adoption, not just used tools themselves. This includes running team-specific pilots, localizing best practices, and embedding AI into daily workflows. Teams respond positively when managers show genuine excitement and provide infrastructure for innovation. A culture that supports smart risk-taking accelerates adoption faster than strict control. This is where real enablement begins.

AI Super-Agency Will Define the Winners

AI super-agency is emerging as a competitive advantage, not a technical milestone. While every generation has a role to play, Millennial managers are currently leading the charge. They are shaping how AI shows up in real work, not just strategy decks. Organizations that invest in developing these leaders will move faster toward meaningful impact. Those that don’t risk falling behind despite having the same tools. The future belongs to teams whose managers know how to turn AI into momentum.