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Updated: April 30, 2024 By: Mike Vaughan As we navigate the exciting terrain of learning and development, infused with the transformative power of artificial intelligence, it's essential to anticipate where the industry is headed, not just where it currently stands. Today, many companies have embraced AI tools like chatbots, tutors, and large language model interfaces, making significant strides in the educational landscape. While these advancements are commendable, they merely scratch the surface of what's possible to enhance learning efficiency and efficacy. The Present: An Inflection Point in AI Utilization Currently, AI in learning largely focuses on providing interactions via chatbots and AI tutors. These tools wrap around existing large language models to offer a semblance of personalized learning. However, they often deliver standardized content that fails to deeply engage with individual learner needs and preferences. While these technologies represent a leap forward, they are preliminary steps towards a more revolutionary approach to learning. The Future: Personalization and Speed in Skill Acquisition The future of learning development is not about consuming more information; it’s about refining how we acquire and apply new skills swiftly and efficiently. Imagine a future where learning is as dynamic and personalized as your daily interactions with your favorite digital assistant, but focused on professional and personal development. This is where we see the significant pivot—towards truly personalized learning experiences that adapt in real-time to the learner's progress, preferences, and performance. Dynamic Learning Environments In the future, AI-driven platforms will not just respond to user inputs but will proactively challenge learners by dynamically generating new content and interactive challenges based on their learning history and future goals. This approach will allow learners to absorb knowledge and, more importantly, apply new skills in various contexts, thereby accelerating skill acquisition and application—perhaps not as instantaneously as downloading skills in "The Matrix," but significantly faster than today's methods. Data-Driven Personalization The cornerstone of this evolution is the sophisticated use of data. AI systems will become adept at analyzing vast amounts of data regarding individual learning patterns and outcomes. This data won’t just inform content delivery; it will enhance it, creating a feedback loop where every interaction enriches the system’s understanding of the learner. As these systems become more attuned to individual learners, they can anticipate needs and adapt challenges to optimize learning efficiency. The Impact of Enhanced Learning With these advancements, the implications for professional development are profound. Employees can learn new skills more quickly, responding to changing job requirements with agility. Organizations can foster a more adaptable and skilled workforce, ready to meet the demands of rapid technological change. Conclusion: Embracing the Future As futurists and innovators in the field of AI and learning development, we must focus on these advanced capabilities to transcend the current limitations. By prioritizing personalization and efficient learning, we can revolutionize how skills are developed and applied, ensuring that individuals and organizations are prepared for whatever the future holds. Let's skate to where the puck is going, not where it has been.

Navigating the AI landscape is becoming increasingly challenging, not only due to the constant hype and noise surrounding it, but also due to fast progress in model capabilities, paired with new products and vendors emerging onto markets at a high pace. These trends show no sign of slowing down, at least not in the near future; in fact, it seems the noise surrounding AI is only growing louder, making it more difficult to distinguish what is genuine, significant, and practical. This complexity is additionally exacerbated by numerous marketing efforts and articles from companies that have only recently begun to engage with AI. These companies often suggest that their AI innovations are groundbreaking, adding to the confusion for those seeking to gain an overview of the market and product capabilities. As L&D professionals, we need a clear path to choose the right tools that empower our learners and prepare them for the future, equipped with the right skills. This guide aims to do just that, and for simplicity,  we have organized what to look for in a vendor into three overarching categories. At The Thinking Effect, our goal is to get the conversation started, and we hope this will lead to more refined thinking that will help us all navigate the future of learning and AI. Choose Vendors Who are Human First Ethical Guardians: Look for vendors with transparent AI governance and ethical practices. How do they ensure responsible development and avoid crossing boundaries? An effective and simple way to approach and judge this is to simply ask: Can they articulate their "red lines"? Open Box:  Choose vendors who can explain how their AI works, how decisions are made, what data is used, and who offer demos or trials for you to test drive. Remember, you should be able to use the tools yourself before trusting them with your learners. Privacy Sentinels: Your learners' data security is paramount. Choose vendors with robust security measures and clear data privacy policies. Choose Vendors/Tools with Growth Potential Extensibility:  Pick tools with a robust API to integrate with your learning ecosystem. If they don’t already have a vision, then they may not be thinking systemically. Constant Evolution:  Choose vendors who actively develop and update their AI, releasing new features and improvements regularly (monthly if possible).  We noticed vendors who released compelling updates monthly last year are still leading the pack. A good thing to ask is also what a vendor’s road map looks like for the next 3 months. Collaborative Spirit: Look for vendors who value partnerships and feedback. Choose those who work with other AI players and are open to co-creating with you to refine their tools. Data Analytics: Look for tools that can capture extensive learner data. This data can be used to improve the learner’s skills and experience, and help learning leaders determine where best to invest future budgets and resources. Of course, also ensure their data privacy policies are vetted. Choose Tools that Meet Your Learner and Business Needs Remember the three tool categories we discussed at the beginning of 2023? They're still relevant and easy to remember when evaluating tools: Asset Creation Tools - Speed up the design and development of engaging learning materials like images, videos,  animations, audio, music, and scripts. These tools can be real time-savers for busy L&D teams. They can also significantly cut design and development costs, which stakeholders are keen to achieve this year. Optimization Tools - Analyze data to personalize and improve the learner experience. Think of them as behind-the-scenes wizards, crunching numbers to deliver insights and recommendations. These tools are crucial for creating real personalized and adaptive learning experiences, which optimize learner time and potentially accelerate speed to proficiency. Experience Tools - Make learning interactive and engaging. Imagine bots offering coaching, feedback, or additional resources on demand. These tools enhance learner motivation, improve learning effectiveness, and make learning feel experiential. Now, let's be honest, L&D pros love sparkly things.  Shiny does not typically equate to learning efficacy, however.  So, as you evaluate tools in each of these categories, ask how the tool will: cut design and development costs reduce review cycles and time of subject matter experts accelerate upskilling and reskilling Remember, AI is and will continue to replace knowledge-level learning. So, focus on tools that will develop higher cognitive skills.  In other words, let AI teach what people need to know while you guide them in applying what they know to real-world situations. Final thought. AI is a Tool, Not a Magic Wand! The most sophisticated AI tool is powerless without a well-defined learning strategy and human expertise. Simply put, AI should augment your existing efforts, not replace them. Focus on creating a holistic learning ecosystem where AI and human ingenuity work together. Bonus Tip: Stay curious! The AI landscape is constantly evolving. Attend industry events, network with fellow CLOs, and subscribe to The Thinking Effect to learn from other L&D professionals. Authors Mike Vaughan & Markus Bernhardt

Hey, L&D professionals! Here at The Thinking Effect, we're all about keeping you ahead of the curve, so here are some significant innovations in AI that will impact L&D later this year and into 2025. Multimodal Mania: Get ready for learning experiences that go beyond text prompts. AI's evolution now includes sound, images, and even physical interactions. These new capabilities will redefine just-in-time learning, performance support, and knowledge management.   In addition, the responses chatbots provide extend beyond text, ensuring more nuanced, human-centered learning experiences. Context Explosion: Remember feeding AI crumbs of information? Well, that’s a thing of the past. Get ready for a feast! AI's understanding of context is about to expand significantly. Echoing the need for nuanced AI applications in L&D will make learning experiences more adaptive and responsive, catering to individual needs and preferences. All in line with the personalized approaches we've emphasized previously. Wearable Wonderland: AI innovations bring us smaller, smarter, and cheaper language models, perfect for powering tiny AI brains in wearables and devices. Think earbuds whispering personalized language lessons, smartwatches providing coaching, or even VR glasses creating immersive learning simulations – all controlled by smaller language models. Speedy Training, Stellar Results: Buckle up for lightning-fast AI training! This means quicker development of new models, lower costs, and ultimately, sharper, more effective AI powering your learning experiences.  Think about L&D having their models trained on your leadership model, aligned with your cultural norms and organizational vision, providing just-in-time learning. Specialization Station: Dedicated AI models for specific tasks are on the rise. Think automated grading, personalized feedback bots, and targeted content creation – all handled by AI specialists trained to do one thing exceptionally well. We're here to help you navigate this exciting journey, so let's build a future where learning is as diverse and dynamic as the human mind itself! Leave us your feedback in the comments on what you would add or modify to the list above. Authors Mike Vaughan & Markus Bernhardt

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A place for learning professionals to learn about and use AI tools to advance your career. Over 400+ AI Tools for L&D ​ Find a community of practice to learn with others ​ Unique points of view in the future of learning blog ​ Build your AI acumen or business pl an using these resources How to Select AI Vendors and Tools Navigating the AI landscape is becoming increasingly challenging, not only due to the constant hype and noise surrounding it, but also... L&D Professionals: Watch for these innovations in AI Hey, L&D professionals! Here at The Thinking Effect, we're all about keeping you ahead of the curve, so here are some significant... 2024 Predictions: 5 ways AI Will Impact L&D Looking back at the mindblowing advancements in AI during 2023, we anticipate a range of impacts AI will have on Learning and Development... See all the blogs > Resource Overview Generative AI and the future of work Generative AI is expected to change the structure of “work” as we know it. But before executives can change workflows or adjust employee roles, it’s important to take a deeper dive into what exactly is changing in the work. Perspectives on AI impact to HR Given its ability to complete cognitive tasks, research and opinions suggest that generative AI is affecting the future of work Gen-AI: Artificial Intelligence and the Future of Work Artificial intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Now decides next: Insights from the leading edge of generative AI adoption Now decides next: The state of generative AI in the enterprise is a quarterly report series by the Deloitte AI Institute exploring how actions taken now will guide Gen AI adoption and impact. Artificial Intelligence Index Report 2023 The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. ChatGPT is an emerging AGI according to Google Deepmind Google Deepmind has proposed a new framework for classifying the capabilities and behaviors of artificial general intelligence (AGI) and its precursors. Artificial Intelligence and the Future of Teaching and Learning This report addresses the clear need for sharing knowledge and developing policies for Artificial Intelligence How Generative AI Will Transform HR A fundamental transformation into a more strategic, value-added, insight-driven HR organization New global study from the IBM Institute for Business Value on the skills gap shifting New IBM study reveals how AI is changing work and what HR leaders should do about it CEO decision-making in the age of AI The IBM Institute for Business Value, in cooperation with Oxford Economics, interviewed 3,000 CEOs from 30+ countries and 24 industries on AI Augmented work for an automated, AI-driven world AI won’t replace people—but people who use AI will replace people who don’t. Generative AI and the future of HR A chatbot may not take your job—but it will almost certainly change it. Here’s how to start thinking about putting gen AI to work for you. Understanding AI in HR A Deep Dive A Deep Dive Whitepaper from The Josh Bersin Company Generative AI and the future of work in America By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated - a trend accelerated by generative AI. The economic potential of generative AI According to a new report that examined 850 jobs across 47 countries, leading consulting firm McKinsey estimates that generative AI could add somewhere between $2.6 trillion to $4.4 trillion annually to the global economy. Insights from American Workers Checkr surveyed American workers from four generations to uncover their feelings about adoption of generative AI tools at work The AI Index Report The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. Expanding AI’s Impact With Organizational Learning Organizational learning with AI is demanding. It requires humans and machines to not only work together but also learn from each other — over time, in the right way, and in the appropriate contexts. The State of Organizations 2023: Ten shifts transforming organizations Can AI play a role in building the organization? You better believe it. LinkedIn Global Talent Trends Report LinkedIn’s report shows that while hiring has slowed around the world, many forward-thinking employers are prioritizing internal mobility, in part because employee skill-building is linked to higher rates of retention. Future of Jobs Report Economic, health and geopolitical trends have created divergent outcomes for labour markets globally in 2023 Future of jobs 2023: These are the most in-demand skills now The World Economic Forum has predicted these likely skillsets – and how demand for them could grow – in its Future of Jobs 2023 report. Comparing Physician and Artificial Intelligence Responses to Questions A study comparing ChatGPT vs. Doctors for responding to patient questions demonstrated the clear-cut superiority of ChatGPT for more accurate and empathic responses. ChatGPT and AI in higher education The Quick Start Guide provides an overview of how ChatGPT works and explains how it can be used in higher education. Ethics in the Age of AI: Generating the Future Responsibility co-founders of Ethical Compass Advisors, share fascinating insights where the potential pitfalls might be with generative AI. World Trends Report The World of Work Trends Report 2023 presents the latest trends in people strategies and practices emerging from leading organisations worldwide. When Content Creation Goes to Zero The most significant consequence of AI is that it will push creation costs to zero. Highlights of ChatGPT 4 What's new with ChatGPT 4 World-class AI for education By leveraging AI, we can bring the benefits of one-on-one tutoring—deep understanding, confidence, clarity, and empowerment—to all students. The future of L&D: How AI is revolutionizing talent development For organizations to remain competitive in today’s rapidly evolving work environment, they must keep up with these advancements. Upskilling How to use simulations to engage, grow, and retain your workfoce HR Predictions 2023 CEOs and CFOs are going to push to maintain and grow profits, focus on cash and financial sustainability, and search for new postures for growth. Developing Your High Potential Organizations are finally beginning to come to grips with the fact that formal learning represents a relatively small percentage of how people learn. See all 30+ resources > LipDub Video Midjourney AI Image Synthesia Avatar Eleven Labs Voice See all 400+ AI Tools > Button Button Experiential Learning While AI and neuroscience have their place, hands-on activities and real-world scenarios provide the most effective way for learners to truly understand and apply what they have learned. By focusing on experiential learning, L&D professionals can help learners develop the skills they need to succeed in their roles and stay ahead in their careers." AI vs Neuroscience While AI has its place in the L&D field, I believe that a focus on neuroscience is ultimately more important for developing truly effective learning and development strategies. AI can actually be helpful Through this website, I have learned how AI can actually be a powerful tool for L&D professionals, enabling us to create more personalized and effective learning experiences for our learners. Contact us >