Table of contents Executive SummaryAI Adoption and UseTraining on AI TopicsMultigenerational WorkforceImplicationsMethodologyAppendixContact Executive Summary Artificial intelligence (AI) has rapidly proliferated across the lives of Americans, not only in everyday life but also in theworkplace. It has transformed how organizations operate and make decisions. From automating routine tasks, humanresource functions, and improving data analysis to enabling more personalized customer experiences, AI is increasinglyintegrated into everyday workplace processes. As these tools become more capable and widespread, employers need tounderstand what AI can - and cannot – do and prepare their workforce through use and training. Findings are based on a survey of 1,019 individuals representing U.S. employers, fielded from November 24 – December9, 2025. Employers reveal that: AI is embedded and widely used across organizations for a variety of tasks,thougholder cohorts skew toward less frequent and consistent sustained use and are perceived asdemonstrating greater resistance to training.1 Ongoing AI-related training is prevalent and typically mandatory,with the intent offostering a workforce that is prepared and flexible.2 Barriers to effective AI adoptioninclude the absence of clear operational guidelines -particularly around choosing appropriate training and identifying the right projects.3 Older workers are important in AI strategic decision-making For most organizations, deciding how to adopt AI is consideredeasy, and these decisions almost always include inputfrom older employees to some degree. In fact, 46% of employers say most, or all of their decisions about how and whereto use AI in the business are made by employees age 40+. Employers perceive employees as generally knowledgeable about AI, whilefrequency of use varies across organizations AI adoption is mainstream, though employees age 40+ show somewhat lower engagement. Decision-makers considerthemselves highly knowledgeable about AI but deem employees as more moderately informed. AI use cases cover a broad spectrum, withresearchrising to the top, followed bydata analysis (% yes, among companies that use AI) AI is largely seen as an opportunity, though some concerns exist There appears to be a direct inverse relationship between perceived worker replacement from AI and career stage, with AIleast likely to replace senior-level employees and most likely to replace entry-level employees. This echoes otherresearch. While largely positive opinions exist among employers related to AI, still 30% of employers think the reality of AIhas not met the promise of AI. In fact, employers overwhelmingly see AI as an opportunity for employees In fact, only 6 percent view AI as a threat to employees. Employers feel that they have a good resource for information on AIuse and implementation 72% have a trusted resource for AI and just as many have a formalgovernance policy for the use of AI in their organization. While mostly similar across company sizes, large employers differ in someways from smaller organizations AI adoption is widespread; however, larger companies demonstrate greater enablement and governance, while smallerfirms lag in both implementation and risk management. Higher than <250 Training is offered by a sizeable majority of companies, with more leaningtoward internal offerings Training types run the gamut and most offer ongoing training on these topics. Types of Training ProvidedAmong companies that provide AI-related training Larger companies are more likely to provide AI-relatedtraining than smaller ones (88% vs. 81%, respectively). Employers see entry-level workers as the most eager to learn and engagewith AI Employers think that eagerness to learn and engage in AI-related training diminishes with seniority, yet still, over half ofemployers think senior-level employees are eager to do so. Positive feedback on AI training prevails. 68% of Employers receivedpositive feedback aboutAI training. Organizations are working to make sure AI training is accessible to all Intent to provide inclusive AI-related training is nearly universal, and organizations take a multi-tiered approach to ensureimplementation, considering things like formatting, inclusive use cases, and peer support. The majority of employees are eligible for AI-related training,which is more commonly required than optional Although a substantial majority of employers offer training at any career stage,23% and 15% of entry and senior-level employees (respectively) are not eligiblefor this type of training. The large majority of employers hold professional developmentconversations, which typically include a discussion of AI skill development Regularity of Professional DevelopmentConversations Discussion of AI Skills in DevelopmentConversations 43% of larger organizations alwaysdiscuss AI skills in professionaldevelopment conversationscompared to significantlyfewer sma