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How Tracking AI Skills Can Teach Us About the Future of Work

How Tracking AI Skills Can Teach Us About the Future of Work

Last updated on: January 21, 2026 at 3:52 pm by Gleb Tsipursky

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How Tracking AI Skills Can Teach Us About the Future of Work 2026-01-21T15:52:28-04:00 Gleb Tsipursky

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AI Skills

Generative AI (Gen AI) is reshaping the workplace, offering powerful tools for creativity, productivity, and efficiency. However, unlocking its potential hinges on more than just adoption; employees must develop a nuanced understanding of how to use this technology effectively. Organizations must go beyond traditional training approaches and embrace rigorous tracking of learning progress and outcomes specific to Gen AI skills. By measuring key performance indicators (KPIs) such as skill application rates, engagement metrics, and real-world results, leaders can ensure that their teams stay competitive in this rapidly advancing field.

Why Tracking Gen AI Skills Progress Is Crucial

Gen AI tools, from text generators to image creation platforms, require a blend of technical expertise and creative application. Without a clear system to measure how employees are learning and applying these tools, organizations risk misaligned training efforts and underwhelming outcomes. Tracking provides actionable insights that guide improvements in learning programs, ensuring employees acquire not only knowledge but also the confidence to leverage Gen AI effectively.

Skill Application Rates: It’s not enough for employees to complete a training module on Gen AI; organizations must evaluate how well they apply those skills in their roles. For instance, are content teams using Gen AI-generated suggestions to improve efficiency, or are they ignoring its inputs, preferring to generate and edit their own content?
Engagement Metrics: Measuring time spent on training modules, participation in Gen AI simulations, and frequency of interaction with learning tools can reveal whether employees are actively engaged with the content or merely going through the motions.
Post-Training Results: The ultimate test of Gen AI learning is its real-world impact. Metrics such as increased productivity, error reduction, and enhanced innovation reflect how effectively employees are utilizing Gen AI to meet organizational goals.

Client Case Study: Scaling Gen AI Skills Adoption at a Regional Retailer

A regional retailer illustrates the transformative power of tracking Gen AI learning progress. Facing mounting competition, the company sought to use AI-driven tools to improve marketing personalization and streamline supply chain operations. However, initial adoption efforts fell short. Employees struggled to integrate Gen AI applications into their workflows, and training programs yielded inconsistent results.

To address these challenges, the company partnered with me as a consultant specializing in Gen AI adoption strategies. We implemented a robust tracking system with the following components:

Baseline Assessments: We tested employees on their familiarity with Gen AI tools and core AI concepts before training began.
Tailored Learning Modules: We customized training to address specific gaps, such as using Gen AI for customer segmentation or predictive analytics.
Real-Time Progress Monitoring: Dashboards provided managers with insights into module completion rates, engagement levels, and assessment scores in real time.
Outcome Tracking: We also measured post-training KPIs, such as increased marketing campaign ROI and reduced inventory mismanagement.

Within three months, 87% of employees reported confidence in using Gen AI tools, up from just 40% before training. More importantly, the retailer achieved a 15% reduction in inventory errors and a 20% increase in marketing campaign performance, demonstrating the tangible value of targeted, data-driven learning programs.

Identifying Gen AI Skills Gaps

Tracking learning progress is particularly valuable in identifying skills gaps, which are often amplified when adopting complex technologies like Gen AI. Many employees may struggle with specific aspects of Gen AI, such as prompt engineering, interpreting AI outputs, or understanding ethical considerations. By analyzing pre- and post-training assessments, organizations can pinpoint these challenges and refine their programs.

For instance, if data shows that employees consistently perform poorly on tasks related to evaluating AI-generated insights, it could indicate a need for more focused training on critical thinking and contextual judgment. Similarly, if team members excel in basic operations but struggle with advanced applications, leaders can design supplemental modules to close these gaps.

Generative AI is not a one-size-fits-all tool, and we should not approach its training in that way. Tracking learning outcomes enables organizations to personalize the learning journey for each employee, tailoring it to their specific strengths, weaknesses, and roles. Personalized learning fosters higher engagement and better retention, ensuring employees are not overwhelmed or under-challenged.

For example, a marketing analyst may need intensive training on creating compelling AI-generated copy, while a data scientist may focus more on configuring AI models for predictive analytics. Tracking data such as individual progress rates and feedback allows organizations to offer customized learning paths that adapt in real-time to employees’ needs.

Leveraging AI Tools to Track AI Learning

Ironically, one of the best ways to track learning progress in Gen AI programs is by using AI itself. Advanced learning management systems (LMS) with built-in AI capabilities can analyze employee interactions, generate insights on performance trends, and even recommend personalized training modules. These tools simplify the process of collecting, interpreting, and acting on learning data, allowing leaders to focus on strategic improvements.

For instance, AI-powered LMS platforms can flag employees who may need additional support, such as those repeatedly scoring below average on AI ethics modules. They can also identify top performers who might be ready for leadership roles in AI adoption initiatives.

Best Practices for Tracking Gen AI Learning

To maximize the impact of tracking, organizations should follow these best practices:

Define Clear Objectives: Align training goals with strategic business priorities. For Gen AI, this could mean improving innovation rates, reducing repetitive manual tasks, or enhancing customer experiences.
Integrate Real-World Scenarios: Ensure training programs simulate practical challenges employees are likely to face when using Gen AI tools. This bridges the gap between theory and application.
Foster a Culture of Feedback: Use both quantitative data and employee feedback to refine training programs. Understanding learners’ experiences helps fine-tune content and delivery methods.
Continuously Review and Adapt: Gen AI technologies evolve rapidly, so training programs must keep pace. Regularly updating learning content and tracking mechanisms ensures long-term relevance, while managing risks.

Conclusion: Data-Driven Learning for the Gen AI Era

The rise of Gen AI presents organizations with incredible opportunities—but also challenges. Without effective tracking of learning progress and outcomes, businesses risk falling short of realizing AI’s full potential. By implementing robust systems to monitor skill acquisition, identify gaps, and personalize learning, leaders can ensure their teams are equipped to thrive in the AI-driven future. Tracking learning outcomes isn’t just about measurement; it’s about creating a culture of continuous growth and innovation where employees and AI work together to achieve extraordinary results.

Key Take-Away

Effective Gen AI adoption relies on tracking AI skills development. Data-driven learning, personalized training, and real-world metrics ensure employees confidently apply Gen AI to drive measurable business impact… >Click to tweet

Image credit: DC Studio/freepik

Originally published in Disaster Avoidance Experts

Dr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles and 550 interviews in Harvard Business Review,Inc. Magazine, USA Today, CBS News, Fox News, Time, Business Insider, Fortune, The New York Times, and elsewhere. His writing was translated into Chinese, Spanish, Russian, Polish, Korean, French, Vietnamese, German, and other languages. His expertise comes from over 20 years of consulting, coaching, and speaking and training for Fortune 500 companies from Aflac to Xerox. It also comes from over 15 years in academia as a behavioral scientist, with 8 years as a lecturer at UNC-Chapel Hill and 7 years as a professor at Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

Business, Finance and Religion

About Dr. Gleb Tsipursky

Known as the Disaster Avoidance Expert, Dr. Gleb Tsipursky is on a mission to protect leaders from dangerous judgment errors known as cognitive biases, which devastate bottom lines and bring down high-flying careers. His expertise and passion is developing the most effective and profitable decision-making strategies, based on pragmatic business experience and cutting-edge behavioral economics and cognitive neuroscience, to empower leaders to avoid business disasters and maximize their bottom lines. You can learn more here https://disasteravoidanceexperts.com/glebtsipursky/ The bestselling author of several books, Dr. Tsipursky is best known for his national bestseller on avoiding disasters and achieving success in business and other life areas, The Truth Seeker’s Handbook: A Science-Based Guide. His next book, Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters, is forthcoming with Career Press in November 2019. It’s the first book to focus on cognitive biases in business leadership and reveal how leaders can overcome these dangerous judgment errors effectively. After that he’s publishing The Blindspots Between Us: How to Overcome Unconscious Cognitive Bias and Build Better Relationships with New Harbinger in April 2020, the first book to focus on cognitive biases in professional and personal relationships and illustrate how we can defeat these dangerous judgment errors in our relationships. See more information here https://disasteravoidanceexperts.com/author-page/ Dr. Tsipursky’s cutting-edge thought leadership was featured in over 400 articles he published and over 350 interviews he gave to popular venues that include Fast Company, CBS News, Time, Scientific American, Psychology Today, The Conversation, Business Insider, Government Executive, The Chronicle of Philanthropy, Inc. Magazine, and many others, as you can see here https://disasteravoidanceexperts.com/media/ Dr. Tsipursky's expertise comes from over 20 years of consulting, coaching, speaking, and training for businesses and nonprofits. He serves as the CEO of the boutique consulting, coaching, and training firm Disaster Avoidance Experts, which uses a proprietary methodology based on groundbreaking research to help leaders and organizations maximize their bottom lines by addressing potential threats, seizing unexpected opportunities, and resolving persistent personnel problems. His clients include Aflac, Balance Employment Assistance Provider, Edison Welding Institute, Fifth Third Bank, Honda, IBM, International Coaches Federation, Ohio Hospitals Association, National Association of Women Business Owners, Sentinel Real Estate, The Society for Human Resource Management, RealManage, The Columbus Foundation, Vistage, Wells Fargo, the World Wildlife Fund, and over a hundred others who achieve outstanding client results. You can learn more about that here: https://disasteravoidanceexperts.com/about Dr. Tsipursky also has a strong research and teaching background in behavioral economics and cognitive neuroscience with over 15 years in academia, including 7 years as a professor at the Ohio State University and before that a Fellow at the University of North Carolina-Chapel Hill. His dozens of peer-reviewed academic publications include journals such as Behavior and Social Issues, Journal of Social and Political Psychology, and International Journal of Existential Psychology and Psychotherapy. His civic service includes over 4 years as the Chair of the Board of Directors of Intentional Insights, an educational nonprofit advocating for research-based decision-making in all life areas. He also co-founded the Pro-Truth Pledge, a civic project to promote truthfulness and integrity for individual professionals and leaders in the same way that the Better Business Bureau serves as a commitment for businesses. He serves on the Advisory Board of Canonical Debate Lab and Planet Purpose, and is on the Editorial Board of the peer-reviewed journal Behavior and Social Issues. A highly in-demand international speaker, Dr. Tsipursky has over two decades of professional speaking experience across North America, Europe, and Australia. He gets top marks from audiences for his highly facilitative, interactive, and humor-filled speaking style and the way he thoroughly customizes speeches for diverse audiences. Meeting planners describe Dr. Tsipursky as "very relatable," as "a snap to work with," and as someone who "does everything that you would want a speaker to do." Drawing on best practices in adult learning, his programs address the wide spectrum of diverse learning styles, as attested by enthusiastic client testimonials and references. He regularly shares the stage with prominent leaders, for example recently speaking on a roundtable panel with the President of the European Commission Ursula von der Leyen, Secretary General of the International Federation of Red Cross and Red Crescent Societies Elhadj As Sy, Chancellor of Austria Brigitte Bierlein, CEO of Penguin Random House Markus Dohle, and billionaire philanthropist and Chair of the Bertelsmann Management Company Liz Mohn. You can learn more about his speaking and see videos here: https://disasteravoidanceexperts.com/speaking/ Dr. Tsipursky earned his PhD in the History of Behavioral Science at the University of North Carolina at Chapel Hill in 2011, his M.A. at Harvard University in 2004, and his B.A. at New York University in 2002. He lives in and travels from Columbus, OH. In his free time, he enjoys tennis, hiking, and playing with his two cats, and most importantly, he makes sure to spend abundant quality time with his wife to avoid disasters in his personal life. Learn more about him at https://DisasterAvoidanceExperts.com/GlebTsipursky, contact him at Gleb[at]DisasterAvoidanceExperts[dot]com, follow him on Instagram @dr_gleb_tsipursky and Twitter @gleb_tsipursky. Most importantly, help yourself avoid disasters and maximize success, and get a free copy of the “Assessment on Dangerous Judgment Errors in the Workplace,” by signing up for his free Wise Decision Maker Course at https:// DisasterAvoidanceExperts.com/Subscribe You can read more about the author here.

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