Toronto – October 17, 2026 -- Only 19% of employees worldwide feel confident using AI tools, according to the 2026 State of Recognition Report from the Achievers Workforce Institute, which argues that timely, specific recognition is missing infrastructure in AI transformation programs.
Employee readiness trails AI deployment on every measured dimension
New AI tools can arrive in weeks, while confidence, clarity and working norms take far longer to develop. The report puts numbers on that gap: 18% of employees have access to AI-enabled training, and 18% feel supported in adapting to AI and technology changes. Only 18% feel informed when changes affect their jobs, and 23% say communication is clear during uncertainty.
The report frames this as an operating problem for HR and IT leaders. Access to technology and a launch announcement do not tell employees which behaviors matter, whether it is safe to try, or how their efforts connect to organizational goals.
Achievers frames recognition as a prompt that reinforces new behavior
Employees are being asked to test unfamiliar tools, scrutinize outputs and exercise judgment while policies are still evolving. Acknowledging those behaviors quickly gives managers a language for reinforcing progress and gives leaders visibility into where adoption is taking hold. Recognition also turns abstract priorities such as "use AI responsibly" into concrete examples, such as an employee who checked an AI-generated analysis before it reached a customer.
Emma Harvie, Global Head of Recognition and Rewards Insights at Achievers, presented the findings at the company's Recognition Next event in Toronto. The argument: recognition belongs in the learning, workflow-redesign and early-adoption phases, before business results are visible.
Willingness to recognize outpaces the systems supporting it
Some 29% of employees give recognition weekly and 30% monthly. Only 17% are meaningfully recognized each week, 28% receive recognition monthly and 9% are never recognized. Ninety-two percent say they would put in additional effort if they were better recognized.
The barriers are practical. Twenty-three percent worry about saying the wrong thing or being misunderstood, 21% do not know how to make recognition meaningful, and 22% say recognition is not common in their workplace.
The gap is widest for employees performing below expectations, who are six times less likely to receive weekly recognition than colleagues meeting or exceeding expectations. Yet 64% of them say recognition would make them more productive, and 58% say it would make them more likely to complete tasks. Achievers says managers may withhold recognition for fear of appearing to endorse overall performance, and that recognition can name a useful action while keeping performance expectations honest.
Only 14% of employees accept AI-written recognition
Some 67% of employees trust recognition more when it comes directly from a person, and just 14% feel comfortable receiving recognition written or suggested by AI. The report, from Achievers, a Brandon Hall Group Gold-level Eminence Partner, sets a design boundary: AI can surface opportunities, reduce administrative friction, support translation and help connect a contribution to goals or values, but the giver should retain authorship of the meaning.
Achievers says the same principle should guide capabilities built under its Achievers Intelligence umbrella, with transparency about how AI supports the process and no automated messages detached from the work being acknowledged. Recognition data could then show leaders where collaboration is increasing and which teams demonstrate the judgment needed for responsible AI use.
Sixty percent of organizations have reached strategic or optimized recognition
Brandon Hall Group's Rewards and Recognition Progression Model has four phases: Reactive/Ad Hoc, Standardized, Defined/Strategic and Optimized. Sixty percent of organizations have reached the strategic or optimized phases. At the top level, rewards and recognition act as a proactive transformation partner, backed by integrated processes, real-time insight and advanced governance.
Achievers assigns split ownership of that progression. HR contributes expertise in employee experience, behavior, leadership and fairness. IT contributes workflow integration, data architecture, security and responsible AI. The first of three recommended commitments for leaders is to define the behaviors that make transformation succeed, including learning, experimentation, collaboration, verification, knowledge-sharing and judgment, and to recognize them early while tying them to business priorities.