--- title: Why 93% of Companies Are Implementing AI but Only 33% of Employees Know About It description: 93% of companies implement AI, but only 33% of employees know. The gap isn’t technology—it’s how organizations manage change. image: https://blog.pqegroup.com/hubfs/AI%20thought%20leadership%20Series_1_Blog.webp --- [![Logo PQE Group - azzurro - 2024](https://blog.pqegroup.com/hs-fs/hubfs/Logo%20PQE%20Group%20-%20azzurro%20-%202024.png?width=2000&height=721&name=Logo%20PQE%20Group%20-%20azzurro%20-%202024.png "Logo PQE Group - azzurro - 2024")](https://www2.pqegroup.com) - [Home](https://www2.pqegroup.com/) - [Industry](https://www2.pqegroup.com/industry/) - [Pharma & API](https://www2.pqegroup.com/pharma-api/) - [Medical Device](https://www2.pqegroup.com/medical-device/) - [Biotech](https://www2.pqegroup.com/biotech/) - [Startup](https://www2.pqegroup.com/startup/) - [Veterinary](https://www2.pqegroup.com/veterinary/) - [Services](https://www2.pqegroup.com/services/) - [Data Integrity](https://www2.pqegroup.com/data-integrity/) - [Digital Governance](https://www2.pqegroup.com/digital-governance/) - [Engineering](https://www2.pqegroup.com/engineering/) - [Commissioning, Qualification and Validation (CQV)](https://www2.pqegroup.com/commissioning-qualification-validation/) - [Quality Compliance](https://www2.pqegroup.com/quality-compliance/) - [Laboratory Excellence](https://www2.pqegroup.com/laboratory-excellence/) - [Regulatory Affairs](https://www2.pqegroup.com/regulatory-affairs/) - [Audits](https://www2.pqegroup.com/audits/) - [Training](https://www2.pqegroup.com/training/) - [Clinical Research](https://www2.pqegroup.com/clinical-research-services/) - [Pharmacovigilance](https://www2.pqegroup.com/pharmacovigilance/) - About - [About Us](https://www2.pqegroup.com/about/) - [ESG](https://www2.pqegroup.com/about/csr/) - [Women in STEM](https://www2.pqegroup.com/about/women-in-stem/) - Resources - [News & Press](https://www2.pqegroup.com/news/) - [Webinars](https://www2.pqegroup.com/webinars/) - [Blog](https://blog.pqegroup.com/) - [Careers](https://www2.pqegroup.com/careers/) - [Contact Us](https://www2.pqegroup.com/contact-us/) ![Robert Stoop](https://blog.pqegroup.com/hubfs/Robert-1.png) Robert Stoop Ph.D., MHA @PQE Group # **Why 93% of Companies Are Implementing AI but Only 33% of Employees Know About It** [Artificial Intelligence](https://blog.pqegroup.com/tag/artificial-intelligence) When ChatGPT launched in November 2022, it triggered an AI gold rush. Companies raced to implement AI tools, investing billions in the promise of unprecedented productivity gains. But here’s the problem: the technology isn’t failing—the implementation strategy is.  Consider this disconnect**: 93% of Fortune 500 companies are implementing AI initiatives, yet only 33% of employees even know it’s happening.** Even more concerning, just 6% of employees feel very comfortable using AI in their roles, while 32% say they’re very uncomfortable with it.  ## **The Implementation Gap: Why AI Initiatives Fail ** Roman Stanek, CEO of GoodData, puts it bluntly: "AI projects start by implementing a technical approach, and front-line managers don't find it useful. No adoption. No ROI.” It's a pattern playing out across industries.  AI isn’t coming, it’s here. Yet despite years of anticipation and billions in investment, implementation remains stubbornly difficult. The numbers tell the story**: 70% of AI projects generate minimal impact.**Nearly half of senior managers struggle to integrate AI with existing processes and people. The technology works—but the organizations implementing it aren’t ready.  ## **Why AI Implementation Fails ** AI promises efficiency, accuracy, and strategic advantages. Yet more than half of AI initiatives fail to deliver any meaningful impact, leaving implementation plans to drop 16% between 2019 and 2020. The disconnect isn’t technological—it’s organizational.  ## **The Organizational Development Imperative** This is where organizational development (OD) becomes critical. OD isn’t just HR’s latest initiative; it’s a strategic discipline focused on organizational effectiveness, adaptability, and cultural transformation. And it’s exactly what’s missing from most AI implementations. Unlike ad-hoc technology rollouts, OD provides an evidence-based, structured approach to organizational change—exactly what AI implementation demands.  The proliferation of artificial intelligence (AI) in organizational settings presents unprecedented opportunities, while also introducing complex sociotechnical challenges that require, or should require, strategic OD interventions. This is crucial, since OD is an evidence-based and structured process, not a ‘quick fix’ or an experiment of trying something out to ‘see what happens’.  When organizations neglect the human, cultural, and structural dimensions of AI implementation—focusing only on the technology—failure is the predicable outcome. So, what does effective AI implementation look like through an OD lens? It starts with understanding four foundational theories.  ## **Four Theories That Explain Why AI Implementation Fails (And How to Fix It)** 1. **Organizational Support Theory** Organizational Support Theory (OST) explains how employees perceive whether their organization values their contributions and cares about their well-being. This perception—called perceived organizational support (POS)—directly influences whether employees commit to organizational initiatives or resist them.  When employees feel supported, they reciprocate, committing to organizational goals and new initiatives. When they don’t, they resist. It’s social exchange theory in action.  **The AI Connection: **If employees don’t receive organizational support during AI implementation—through transparent communication, training, and involvement—they’ll resist the change, regardless of the technology’s capabilities.  Research shows that **when organizations communicate a clear AI implementation plan, employees are 4.7 times more likely to feel comfortable using AI in their roles**. Yet only 15% of organizations provide this clarity.  1. **Sociotechnical Systems Theory** Sociotechnical Systems (STS) Theory offers a crucial insight: technology and people forming an integrated system. You can’t optimize one without considering the other.  Here’s the critical principle: people aren’t machines. Mix technology with human systems, and you get complex, often unpredictable interactions. Succes requires *joint optimization*—configuring processes that account for social, technical, and environmental factors simultaneously.  **The AI Connection: **Most organizations implement AI as a purely technical project. STS Theory explains why this fails—you’re disrupting a sociotechnical system while only addressing half of it. People adapt, resist, or work around technology that ignores their reality.  1. **Adaptive Structuration Theory** Adaptive Structuration Theory (AST) reveals a crucial insight about technology: outcomes depend less on the technology itself than on how people use it.  Here’s the problem: people adapt systems to their needs, resist them, or fail to use them altogether. The gap between “intended” impacts and actual behavior explains why brilliant AI implementations fail in practice.  This theory and method provided by DeSanctis and Pool 1994 penetrates the surface of advance technology use, considering the deep structure of technology-induced organizational change.  **The AI Connection: **You can mandate AI adoption, but you can’t control how employees actually use it. If the AI doesn’t fit their workflow or threatens their role, they’ll find ways around it—or simply avoid it. Implementation must account for adaption from day one.  1. **Actor-Network Theory** Actor-Network Theory (ANT) takes a radical view: technology isn’t just a tool—it’s an active participant in organizational networks, with its own agency and influence.  Actor-Network Theory treats the social and the technical as inseparable and argues that people and artefacts should be analyzed with the same conceptual apparatus.  As Bruno Latour observed decades ago, the boundary between computer systems and organizations has blurred—they’re now “coextensive monstrous hybrids.”  Latour’s insight remains urgent today: we need new ways to think about human-AI hybrids. The boundary between people and technology is constantly shifting—and organizations must navigate this flux.  Twenty-five years later, with AI that writes, codes, and creates, have organizations gotten better at managing this human-technology boundary? The evidence suggests no.  **The AI Connection: **AI isn’t just another tool in your tech stacks; it’s an organizational actor that reshapes work relationships, decision-making, and power dynamics. Ignore this reality, and you’ll be surprised by how your organization transforms in ways you never intended.  ## **Putting It Together: The Integrated Framework** These four theories converge on a critical insight: AI implementation is a sociotechnical transformation, not a technology deployment. Success requires attending to organizational support, joint optimization, user adaption, and the agency of AI itself.  **So, here’s the critical question: *How do employees react when organizations implement systems that might replace them?***  Without attending to organizational support, sociotechnical integration, adaptive processes, and AI’s active role in work networks, the answer is predicable: resistance, workarounds, and failure.  ## **What This Means for Your Organization**  AI implementation isn’t failing because the technology is flawed—it’s failing because organizations treat it as a technical project rather than an organizational transformation.  The disconnect between 93% organizational adoption and 33% employee awareness isn’t just a communication problem. It’s a symptom of implementations that ignore fundamental principles of organizational change.  **In the next articles in this series, we’ll explore:**  - Specific OD interventions for each phase of AI implementation  - How to build organizational support before introducing AI systems  - Frameworks for joint optimization of AI and human work  - Strategies for managing the adaptive process as employees appropriate AI tools  The question isn’t whether AI will transform your organization—it will. The question is whether you’ll manage that transformation strategically or let it happen haphazardly.    **This is article number 1 of our series on driving successful AI adoption through organizational change.** Explore the other pieces below: - [2. Before You Flip the Switch: Building Organizational Support Before Introducing AI Systems](https://blog.pqegroup.com/artificial-intelligence/before-you-flip-the-switch-building-organizational-support-before-introducing-ai-systems) - [3. Beyond the Rollout: OD Interventions That Shape How AI Actually Works](https://blog.pqegroup.com/artificial-intelligence/beyond-the-rollout-od-interventions-that-shape-how-ai-actually-works) - [4. Nobody uses it the way you designed it: Managing How Employees Appropriate AI—and the Conditions That Keep Adoption from Eroding ](https://blog.pqegroup.com/artificial-intelligence/nobody-uses-it-the-way-you-designed-it) - [5. The Whole System, Not half of it: A framework for Joint Optimization of AI & Human Work](https://blog.pqegroup.com/artificial-intelligence/the-whole-system-not-half-of-it)   **Key Sources**  - Gallup (2024). AI in the workplace: Answering 3 big questions. Available at: gallup.com/workplace  - Deloitte (2017). The 2017 Deloitte state of cognitive survey. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-da-2017-deloittestate-of-cognitive-survey.pdf.  - DeScanctis, G. & Poole, M.S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. *Organization Science, 5*(2), 121-147. http://doi.org/10,1287/orsc.5,2,121.  - Eisenberger, R. & Stinglhamber, F. (2011). Perceived organizational support: Fostering enthusiastic and productive employees. Washington, DC: American Psychological Association.  - Makarius, E.E., Mukherjee, D., Fox, J.D., & Fox, A.K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. J*ournal of Business Research, 120*, 262-273, http://doi.org/10,1016j.jbusres.2020.07.045.  - Walker, G.H., Stanton, N.A., Salmon, P.M. & Jenkins, D.P. (2008). A review of sociotechnical systems theory: A classic concept for new command and control paradigms. T*heoretical Issues in Ergonomics Science, 9*(6), 479-499, http://doi.org/10,1080/14639220701635470.  - Walsham, G. (1997). Actor-network theory and IS research: Current status and future prospects. In: Lee, A.S., Liebenau, J., DeGross, J.I. (Eds.), Information Systems and Qualitative Research (pp. 466-480). IFIP - The International Federation for Information Processing. Springer, Boston, MA. http://doi.org/10,1007-978-0-387-35309-8\_23.  *Full reference list available upon request.*  ![AI thought leadership Series_1_Blog](https://blog.pqegroup.com/hs-fs/hubfs/AI%20thought%20leadership%20Series_1_Blog.webp?width=2000&name=AI%20thought%20leadership%20Series_1_Blog.webp) ## Want to know more? PQE Group staff comprises experienced and skilled experts in multidisciplinary teams, available to **support your company achieving the highest levels of safety for your systems.** Visit our [Regulated Artificial Intelligence & Data Analytics page](https://www2.pqegroup.com/digital-governance/regulated-ai-data-analytics-services/) to know more, or [contact us](https://www2.pqegroup.com/contact-us/) to find the most suitable solution for your company. [Connect with us](https://www2.pqegroup.com/contact-us/) #### More on this topic [Artificial Intelligence ![The Whole System, Not Half of It](https://blog.pqegroup.com/hubfs/AI%20thought%20leadership%20Series_5_Blog-1.webp)](https://blog.pqegroup.com/artificial-intelligence/the-whole-system-not-half-of-it) 02 Sep 2026 ## [The Whole System, Not Half of It Discover the final article of our AI series with Robert Stoop: why successful AI adoption requires optimizing people and technology together.](https://blog.pqegroup.com/artificial-intelligence/the-whole-system-not-half-of-it) [Artificial Intelligence ![Nobody Uses It the Way You Designed It](https://blog.pqegroup.com/hubfs/AI%20thought%20leadership%20Series_4%20blog.webp)](https://blog.pqegroup.com/artificial-intelligence/nobody-uses-it-the-way-you-designed-it) 10 Jul 2026 ## [Nobody Uses It the Way You Designed It Why do teams achieve different results with the same AI tools? Discover how AI appropriation shapes adoption, performance, and value creation.](https://blog.pqegroup.com/artificial-intelligence/nobody-uses-it-the-way-you-designed-it) [Artificial Intelligence ![Beyond the Rollout: OD Interventions That Shape How AI Actually Works](https://blog.pqegroup.com/hubfs/AI%20thought%20leadership%20Series_2_blog.jpg)](https://blog.pqegroup.com/artificial-intelligence/beyond-the-rollout-od-interventions-that-shape-how-ai-actually-works) 02 Jun 2026 ## [Beyond the Rollout: OD Interventions That Shape How AI Actually Works Why AI implementations fail—and how a four-phase lifecycle approach helps organizations manage risk, build support, and sustain adoption.](https://blog.pqegroup.com/artificial-intelligence/beyond-the-rollout-od-interventions-that-shape-how-ai-actually-works) ![new PQE logo white tagline](https://blog.pqegroup.com/hubfs/new%20PQE%20logo%20white%20tagline.png) ISO 9001 Certified compliance services provider since 1998.   ![Logo ISO 9001](https://blog.pqegroup.com/hs-fs/hubfs/Logo%20ISO%209001.png?width=125&name=Logo%20ISO%209001.png)   - Discover PQE - [Work with PQE](https://www2.pqegroup.com/careers/) - [Locations](https://www2.pqegroup.com/contact-us/#locations) - [About](https://www2.pqegroup.com/about/) - [Blog](https://blog.pqegroup.com/) - Useful Links - [Privacy Notice](https://www2.pqegroup.com/privacy-notice/) - [Cookie Policy](https://www2.pqegroup.com/cookie-policy/) - [Model of Organization](https://www2.pqegroup.com/model-of-organization/) - [Ethical Code](https://www2.pqegroup.com/ethical-code/) English CHANGE LANGUAGE Copyright **2024** | Proudly powered by **PQE Group Creative Team** [LinkedIn](https://www.linkedin.com/company/pqe-group) [![twitter](https://blog.pqegroup.com/hubfs/twitter-w.png) Twitter](https://twitter.com/PQEGroup) [Facebook](https://www.facebook.com/PQEGroup/) [Instagram](https://www.instagram.com/lifeatpqe) [YouTube](https://www.youtube.com/c/PQEGroup) [Xing](https://www.xing.com/pages/pqegroup)