Too many organizations are deploying AI without
\nconsidering how it will affect their employees \u2014\u00a0 their workload, their stress
\nlevels, or their ability to adapt. AI is more than just another technology
\nupdate; it is transforming entire industries. But without a human-centered AI
\nadoption strategy, organizations won\u2019t see any benefits. Instead, they risk
\nincreased anxiety, change resistance and stalled implementation.<\/p>\n
A study published in Frontiers The determining factor? A workplace that promotes a \t\t\t\t\t\t\tOne incomplete AI strategy<\/p>\n Recently I met with several leaders at a company that was Their expert on their people and culture was absent, left Like most companies, they had built an AI strategy around \t\t\t\t\t\t\tThe proven risk to mental health<\/p>\n According to the TELUS Health A Pew \t\t\t\t\t\t\tTraining builds confidence and lowers resistance<\/p>\n Workers\u2019 worries, fears and distrust are creating So, how do you break down resistance and help The more people learn, the more capable they become, the \t\t\t\t\t\t\tOrganizational support is crucial<\/p>\n Along with providing adequate training, leaders must communicate Check in often to see how your team is coping. Ask them \t\t\t\t\t\t\tBuild trust with psychological safety<\/p>\n The third piece is psychological safety, because clear When AI scales faster than an organization’s capacity to Consider what happens when organizations don’t have \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 These weren’t technology failures. They were culture \t\t\t\t\t\t\tCulture decides how you navigate AI adoption<\/p>\n When AI adoption increases workplace stress, a strong Organizations with strong cultures adopt AI faster The leaders who protect culture during AI adoption will Culture decides how your team shows up to work every day, Look for \u00a0About the Donald Thompson is Managing Director of the Workplace
\nof Public Health<\/a> found that in AI-forward workplaces, employees face
\nhigher stress, more intense work, job insecurity, reduced autonomy and blurred
\nwork-life boundaries. However, researchers also identified significant benefits
\nfor employees using AI, such as increased efficiency, flexibility, and
\nprofessional development. <\/p>\n
\ngrowth mindset, employee well-being, and psychological safety. The message is
\nclear: AI transformation increases pressure on workers, but a healthy culture
\nis the safety valve.<\/p>\n
\nhaving challenges with its AI rollout. The chief information officer, the
\nengineering manager, and the head of marketing were there, looking for
\nfeedback. But one person was missing. I asked, \u201cWhen you were planning your AI
\nstrategy, was someone from HR in the room with you?\u201d The answer: No.<\/p>\n
\nout of the AI conversation. <\/p>\n
\nthe technology. Once the decisions were made about the platform and the path to
\nadoption, they started thinking about how they were going to get employees on
\nboard. But because they didn’t involve people and culture in the strategy, they
\nmissed critical insights about how AI would affect their workforce.<\/p>\n
\nMental Health Index<\/a>, which surveys roughly 19,000 workers globally, only 17%
\nof workers believe AI will reduce their stress. And that small, optimistic
\ngroup scored markedly higher on mental health than the worried majority. Read
\nthe inverse: for most of your workforce, AI
\nis a source of anxiety<\/a>.<\/p>\n
\nResearch Center survey<\/a> found that more than half of U.S. workers are worried
\nabout the impact of AI, with 32% believing AI will lead to fewer career
\nopportunities for them personally. In addition, 63%
\nof U.S. workers<\/a> believe AI will decrease overall job availability. Even
\nthough projections from Goldman Sachs to the World
\nEconomic Forum<\/a> show that far more jobs will be created by AI than will
\nbe lost, your employees are worried about their jobs.<\/p>\n
\nresistance, feelings that are amplified if they don\u2019t believe that AI will help
\nthem personally. Unless employees are receptive to learning, organizations
\nwon\u2019t see the cost savings and productivity gains that executives are counting
\non.\u00a0 <\/p>\n
\npeople be more receptive<\/a>? Reassure
\nemployees by explaining how mastering AI can help them become more valuable to
\nthe company. Provide the necessary training to help them succeed in their
\ncurrent role. Often, those same skills will help them throughout their career. <\/p>\n
\nmore they will feel in control of their situation. Their engagement,
\nresilience and receptivity will also climb. Receptive employees are willing to
\nexperiment with AI, provide feedback and help refine how the tools are being
\nused.<\/p>\n
\nclearly and consistently<\/a>. Explain why AI is being implemented,
\nhow it will affect employees and what steps will be taken to support them
\nthrough the transition. Detail your plan for ethical safeguards, training
\nopportunities and job impacts. <\/p>\n
\nhow they are feeling, what resources they need and what their challenges are.
\nUse their feedback to refine your AI process. For employees who are struggling
\nto manage their anxiety, share information about the company\u2019s employee
\nassistance program (EAP).<\/p>\n
\ncommunication should flow both ways. Organizations must include human oversight
\nin their adoption strategy, and employees need to feel safe speaking up when
\nthey have concerns. <\/p>\n
\nuse it with judgment, mistakes happen. Hallucinations and other AI errors can
\nundermine workplace trust \u2014 in the tools workers are being urged to adopt and the
\nleaders who are championing them. <\/p>\n
\nproper safeguards:<\/p>\n
\nAn Air
\nCanada chatbot<\/a> invented a nonexistent bereavement-refund policy. The
\nairline was legally compelled to pay the refunds that its AI bot promised. <\/p>\n
\nIn April 2026, Sullivan
\n& Cromwell<\/a>, one of Wall Street’s most prestigious firms, apologized
\nto a federal bankruptcy judge for a filing riddled with AI errors. <\/p>\n
\nDeloitte
\nAustralia<\/a> delivered a report to the Australian government that
\nincluded AI hallucinations and nonexistent academic references. A few months
\nlater, a Deloitte
\nCanada report<\/a> was found to also contain citations from fictional
\nacademic papers.<\/p>\n
\nfailures \u2014 no one felt safe enough to challenge the AI’s output. When employees
\ntrust their leaders and the organization, they will identify issues before they
\nturn into expensive mistakes. These high-profile incidents demonstrate why psychological safety<\/a> is an
\noperational requirement.<\/p>\n
\nculture \u2014 built on psychological safety, clear communication and employee
\nwell-being \u2014 releases that pressure. It gives employees a voice. It builds trust.
\nIt creates space for concerns to be addressed before they become crises.<\/p>\n
\nbecause employees are engaged in the process, not resistant to it. They’re
\nwilling to learn, willing to experiment, and willing to speak up when something
\nisn’t working. Organizations with weak cultures resist AI because employees
\nfear job loss and don’t trust leadership to handle the transition responsibly.<\/p>\n
\nhave organizations that thrive through the transformation. The ones who treat
\nAI as a technology upgrade \u2014 without considering the human impact \u2014 will struggle
\nwith resistance, mistakes, and slower adoption.<\/p>\n
\nhow they implement change, and how they drive performance. Together, culture
\nand performance allow you to create enduring business results.<\/p>\n
\nmy upcoming white paper, \u201cQuiet Compliance and the Readiness
\nGap: The Impact of AI on Culture and Performance.\u201d It
\nframes the conversation for boards and C-suite executives who need to
\nunderstand the human stakes of AI adoption. The Adoption Gap \u2014 the distance
\nbetween how fast organizations deploy AI and how ready their people are to use
\nit responsibly \u2014 is the defining leadership challenge of this decade.<\/p>\n
\nAuthor<\/p>\n
\nOptions Center for Organizational Effectiveness, host of the High Octane Leadership<\/a> podcast, and author of The
\nEmployee Engagement Handbook<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Too many organizations are deploying AI without considering how it will affect their employees \u2014\u00a0 their workload, their…\n","protected":false},"author":2,"featured_media":125587,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,685,10684],"class_list":["post-125586","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-leadership","tag-wral-techwire"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/125586","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=125586"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/125586\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/125587"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=125586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=125586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=125586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}