{"id":715,"date":"2026-02-26T14:00:00","date_gmt":"2026-02-26T14:00:00","guid":{"rendered":"https:\/\/www.elevidagroup.com\/blog\/?p=715"},"modified":"2026-02-26T00:07:28","modified_gmt":"2026-02-26T00:07:28","slug":"ai-trust-psychological-safety-adoption","status":"publish","type":"post","link":"https:\/\/www.elevidagroup.com\/blog\/ai-trust-psychological-safety-adoption\/","title":{"rendered":"Your AI Problem Isn\u2019t the AI. It\u2019s That People Stopped Trusting Each Other."},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"715\" class=\"elementor elementor-715 elementor-bc-flex-widget\">\n\t\t\t\t<div class=\"elementor-element elementor-element-kuv2rfy e-flex e-con-boxed e-con e-parent\" data-id=\"kuv2rfy\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-u3y9vo4 elementor-widget elementor-widget-heading\" data-id=\"u3y9vo4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">I\u2019ve been paying close attention\u2026<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-lmyg81b elementor-widget elementor-widget-text-editor\" data-id=\"lmyg81b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To something that keeps showing up in conversations I have with leaders and decision makers, especially in the healthcare field. They share that they picked the right AI tools, got executive support, ran training sessions, but nothing really changed. Worse, things get more tense.<\/span><\/p><p><span style=\"font-weight: 400;\">For a long time, I thought this was just a change management challenge &#8211; maybe there were blindspots or something that weren\u2019t addressed. But the more I look at it, the more I think it\u2019s something deeper that starts before the tech is even part of the conversation.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7s1fbl elementor-widget elementor-widget-heading\" data-id=\"e7s1fbl\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What the numbers are telling us<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-gqjx7zd elementor-widget elementor-widget-text-editor\" data-id=\"gqjx7zd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data shows that:<\/span><\/p><p><span style=\"font-weight: 400;\">92% of companies plan to increase their AI investment over the next three years (<\/span><a href=\"https:\/\/www.mckinsey.com\/capabilities\/tech-and-ai\/our-insights\/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work\"><span style=\"font-weight: 400;\">McKinsey<\/span><\/a><span style=\"font-weight: 400;\">, 3,613 employees and 238 executives surveyed). But only 1% report reaching anything close to \u201cAI maturity.\u201d<\/span><\/p><p><span style=\"font-weight: 400;\">56% of CEOs say they\u2019ve seen zero financial payoff from AI (<\/span><a href=\"https:\/\/www.pwc.com\/gx\/en\/ceo-survey\/2026\/pwc-ceo-survey-2026.pdf\"><span style=\"font-weight: 400;\">PwC<\/span><\/a><span style=\"font-weight: 400;\">, 4,454 CEOs across 95 countries). And 72% of CIOs report breaking even or losing money on their AI investments (<\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2025-10-20-gartner-survey-finds-all-it-work-will-involve-ai-by-2030-organizations-must-navigate-ai-readiness-and-human-readiness-to-find-capture-and-sustain-value\"><span style=\"font-weight: 400;\">Gartner<\/span><\/a><span style=\"font-weight: 400;\">, 506 CIOs surveyed).<\/span><\/p><p><span style=\"font-weight: 400;\">These numbers are big and come directly from companies that are actively investing in this technology. The question becomes, \u201cWhat\u2019s going wrong?\u201d<\/span><\/p><p><span style=\"font-weight: 400;\">The main instinct is to blame the tools, or the training, or the data quality. But there\u2019s a growing body of research showing that the challenge or issue is something else completely.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-di4obms e-flex e-con-boxed e-con e-parent\" data-id=\"di4obms\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fh9ttu6 elementor-widget elementor-widget-heading\" data-id=\"fh9ttu6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">It\u2019s not a technology problem<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e5lak1 elementor-widget elementor-widget-text-editor\" data-id=\"9e5lak1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Amy Edmondson, the Harvard professor who basically defined the concept of psychological safety, just published a piece in <\/span><a href=\"https:\/\/hbr.org\/2026\/02\/how-to-foster-psychological-safety-when-ai-erodes-trust-on-your-team\"><span style=\"font-weight: 400;\">Harvard Business Review<\/span><\/a><span style=\"font-weight: 400;\"> with 3M\u2019s Jayshree Seth that I found to be extremely important for us all (honestly, regardless if you\u2019re doing the same type of work I am doing or not).<\/span><\/p><p><span style=\"font-weight: 400;\">They argue that when AI enters a team, it changes much more than just workflows &#8211; it changes how people relate to each other. They describe something they call \u201ctrust ambiguity,\u201d this idea that team members start second-guessing both the AI and also (more importantly) each other.<\/span><\/p><p><i><span style=\"font-weight: 400;\">\u201cWho made this decision: the AI or my colleague? Can I question this recommendation without looking like I don\u2019t trust my team? If I raise a concern about an AI output, will people think I\u2019m being \u2018difficult\u2019 or \u2018resistant to change?\u2019\u201d<\/span><\/i><\/p><p><span style=\"font-weight: 400;\">This is a dynamic I\u2019ve seen before, especially in healthcare settings. Clinicians who have spent years (decades) building their expertise find themselves in a position where an AI tool is challenging their judgment. And the response isn\u2019t always to push back on the AI, but instead to go quiet by not raising concerns and just going along with it.<\/span><\/p><p><span style=\"font-weight: 400;\">Edmondson and Seth call it the \u201chuman-AI oversight paradox\u201d: the more people use AI, the less confident they become in their own ability to question it. Even when they have every reason to.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9fpcil elementor-widget elementor-widget-heading\" data-id=\"b9fpcil\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The bigger picture<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0p8yrbl elementor-widget elementor-widget-text-editor\" data-id=\"0p8yrbl\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">And here\u2019s where the numbers get really interesting, because they paint this broader picture:<\/span><\/p><p><span style=\"font-weight: 400;\">Only about 25% of employees regularly experiment with AI at work, even as the tools are being rolled out everywhere (<\/span><a href=\"https:\/\/www.mercer.com\/en-us\/about\/newsroom\/amid-economic-and-ai-anxieties-us-employees-are-choosing-to-stay-put\/\"><span style=\"font-weight: 400;\">Mercer<\/span><\/a><span style=\"font-weight: 400;\">, 4,500+ US employees). About 40% of workers in healthcare specifically haven\u2019t used AI in any context (work or personal).<\/span><\/p><p><span style=\"font-weight: 400;\">Meanwhile, 56% of workers say they\u2019ve received no recent AI training despite their organizations accelerating adoption (<\/span><a href=\"https:\/\/www.manpowergroup.com\/en\/news-releases\/news\/global-talent-barometer-2026-ai-use-accelerates-as-worker-confidence-falls-and-job-hugging-takes-hold\"><span style=\"font-weight: 400;\">ManpowerGroup<\/span><\/a><span style=\"font-weight: 400;\">, 13,918 workers across 19 countries). Employee willingness to support organizational change has collapsed from 74% in 2016 to 43% today (<\/span><a href=\"https:\/\/hbr.org\/2023\/05\/employees-are-losing-patience-with-change-initiatives\"><span style=\"font-weight: 400;\">Gartner<\/span><\/a><span style=\"font-weight: 400;\">).<\/span><\/p><p><span style=\"font-weight: 400;\">There\u2019s a trend here &#8211; these people aren\u2019t against AI. The reality is that these are people who don\u2019t feel safe enough to engage with it. That is such an incredibly important difference.<\/span><\/p><p><span style=\"font-weight: 400;\">In healthcare, this shows up in ways that have direct implications for patient care. Research from <\/span><a href=\"https:\/\/openminds.com\/press\/77-of-americans-embrace-ai-in-behavioral-healthbut-only-with-transparency-and-strong-safeguards\/\"><span style=\"font-weight: 400;\">Qualifacts<\/span><\/a><span style=\"font-weight: 400;\"> (2,000 US adults) found that only 10% of Americans would trust an AI-generated recommendation without a clinician involved. 77% say patients should always be informed when AI is part of their care.<\/span><\/p><p><span style=\"font-weight: 400;\">All of this is exactly what you would expect from any professional &#8211; not resistance but instead a completely rational response from people who understand what\u2019s at stake.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4x8iwyd elementor-widget elementor-widget-heading\" data-id=\"4x8iwyd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What leaders can do about it<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-027t0cu elementor-widget elementor-widget-text-editor\" data-id=\"027t0cu\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">What do organizations actually do? Edmondson and Seth outline several principles, and I want to build on those with what I\u2019ve been seeing in my own work:<\/span><\/p><p><b>1. Treat AI adoption as a learning initiative (rather than a tech rollout).<\/b> <span style=\"font-weight: 400;\">This changes everything, from how you communicate about it to how you measure success. If the expectation is that people should \u201cjust use the tool,\u201d you\u2019re creating an environment where questions feel like pushback. If the expectation is that everyone is figuring this out together (which, in my opinion, is the reality), you create space for honest conversation.<\/span><\/p><p><b>2. Reward the people who raise concerns (along with those who adopt quickly).<\/b> <span style=\"font-weight: 400;\">Edmondson talks about creating \u201cintelligent failure protocols\u201d &#8211; structured ways for teams to learn from what goes wrong with AI. In healthcare, this is especially important. For example, a nurse who flags that an AI triage recommendation doesn\u2019t match their clinical experience is doing exactly what patient safety requires. That kind of voice needs to be celebrated.<\/span><\/p><p><b>3. Build time for AI After-Action Reviews.<\/b> <span style=\"font-weight: 400;\">One of the most practical recommendations from the HBR piece: after major AI-assisted decisions or projects, bring the team together to review what happened. This helps with understanding how the human-AI dynamic actually worked. Where did people defer to AI when they shouldn\u2019t have? Where did they override it and why? This kind of reflective practice is something healthcare organizations already know how to do (think morbidity and mortality conferences, or incident reviews). The \u201cmuscle\u201d is there &#8211; you just have to apply it (and, in a way, reframe) to AI.<\/span><\/p><p><b>4. Model vulnerability as a leader.<\/b> <span style=\"font-weight: 400;\">If executives and senior clinicians aren\u2019t willing to say \u201cI\u2019m still figuring this out too\u201d or \u201cthis AI output doesn\u2019t look right to me,\u201d no one else will either (this needs to be stressed!). I\u2019ve seen it: the organizations where AI adoption is actually working are the ones where leadership treats uncertainty as normal &#8211; at the end of the day, everyone is figuring it out.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-azhw15h elementor-widget elementor-widget-heading\" data-id=\"azhw15h\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The real work<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-kfuftw1 elementor-widget elementor-widget-text-editor\" data-id=\"kfuftw1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The gap between AI investment and AI results surfaces, in my opinion, a trust problem. And it starts way before anyone logs into a new platform.<\/span><\/p><p><span style=\"font-weight: 400;\">The organizations that will get the most out of AI are the ones where people feel safe enough to question, experiment, fail, and learn together. And that\u2019s messy, and uncomfortable, and more&#8230;.. AND, that\u2019s fine.<\/span><\/p><p><span style=\"font-weight: 400;\">That\u2019s exactly what adoption looks like &#8211; just people being given the permission and the psychological safety to figure it out (together).<\/span><\/p><p><span style=\"font-weight: 400;\">If you\u2019re in healthcare or in any organization navigating this, and you\u2019re seeing the tension but struggling to name it, I think Edmondson and Seth\u2019s framework is a really strong place to start.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-hd9t6c0 elementor-widget elementor-widget-heading\" data-id=\"hd9t6c0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/cal.com\/elevida\/discovery-call\">Ready to put people first in your AI strategy?<\/a><\/h3>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7657pbw e-con-full e-flex e-con e-child\" data-id=\"7657pbw\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6hxhu2 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"e6hxhu2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/cal.com\/elevida\/discovery-call\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-calendar\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M400 64h-48V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H160V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H48C21.5 64 0 85.5 0 112v352c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48V112c0-26.5-21.5-48-48-48zm-6 400H54c-3.3 0-6-2.7-6-6V160h352v298c0 3.3-2.7 6-6 6z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Let's chat!<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>I\u2019ve been paying close attention\u2026 To something that keeps showing up in conversations I have with leaders and decision makers, especially in the healthcare field. They share that they picked the right AI tools, got executive support, ran training sessions, but nothing really changed. Worse, things get more tense. For a long time, I thought [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":714,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[10,30],"tags":[20,99,31,23,49,32,62,38,98,54,59,42,86,47,91],"class_list":["post-715","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-human-ai","category-leadership-strategy","tag-ai-adoption","tag-ai-anxiety","tag-artificial-intelligence","tag-change-management","tag-cyberpsychology","tag-digital-transformation","tag-employee-voice","tag-future-of-work","tag-human-centerd-ai","tag-leadership-development","tag-organizational-culture","tag-psychological-safety","tag-team-connection","tag-trust-in-ai","tag-workforce-readiness","entry","has-media"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Your AI Problem Isn\u2019t the AI. It\u2019s That People Stopped Trusting Each Other. - The Human Side of AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.elevidagroup.com\/blog\/ai-trust-psychological-safety-adoption\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Your AI Problem Isn\u2019t the AI. It\u2019s That People Stopped Trusting Each Other. - The Human Side of AI\" \/>\n<meta property=\"og:description\" content=\"I\u2019ve been paying close attention\u2026 To something that keeps showing up in conversations I have with leaders and decision makers, especially in the healthcare field. They share that they picked the right AI tools, got executive support, ran training sessions, but nothing really changed. Worse, things get more tense. 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