How to use AI in human development: Insights from HBR article

AI in L&D : Beyond Buzzwords. Artificial Intelligence is no longer just a buzzword in Learning & Development, it is indeed a transformative tool. When used with purpose, AI can personalize learning journeys, identify skill gaps, and offer real-time feedback to drive meaningful progress. It empowers educators and administrators to shift from generic training models to precision-driven development strategies. Platforms like iMocha, a leading Skill Intelligence solution, exemplify this shift by offering deep insights into workforce capabilities and aligning learning with future-ready roles. AI doesn’t replace the human touch, it enhances it. Educators and mentors remain central to shaping values, guiding reflection, and building emotional intelligence. With AI handling data and delivery, teachers can focus on what matters most, inspiring growth, building capacity, and nurturing leadership. To truly go beyond buzzwords, we must lead with clarity and care. Integrating AI into L&D requires thoughtful design, ethical use, and inclusive intent. Let’s build systems that are not just smart, but wise. Systems that uplift every learner, empower every educator, and reflect the values we stand for.

How Gen AI Could Transform Learning and Development by Sagar Goel, Shubhankar Sohoni and Lisa Krayer September 23, 2025  The integration of generative AI into corporate workflows is highlighting the critical importance of human skills such as problem framing, collaboration, and creativity. A recent experiment by the BCG Henderson Institute demonstrated that gen AI-powered tutoring can effectively enhance these skills, offering personalized and engaging training at scale. As companies invest in gen AI, they must also focus on developing their employees’ human skills to fully leverage the technology’s potential—and ironically, the technology can help drive that process. Companies investing millions in generative AI may soon find themselves stalled—not by the technology’s limits, but by their people’s. As generative AI becomes more ubiquitous, a paradox has emerged: The more deeply we integrate the technology into our workflows, the more indispensable human skills become. These “soft” skills—like problem framing, collaboration, and creativity—encompass the uniquely human abilities and behaviors that will enable people to make the most working alongside gen AI. Unfortunately, many companies are confronting a human skills gap. For example, a 2024 study by the Society for Human Resource Management found that less than one-third of employers believe recent graduates are equipped with the critical thinking skills they’ll need in the workplace. The solution seems simple: We’ll just teach them. But today’s traditional training methods won’t be enough. To start, only about 35% of employers provide human skills development opportunities to their employees, often because of a lack of trainers or appropriate training programs. And even those that do offer programs tend to fall short—they are too generic or too disconnected from day-to-day work and, most importantly, lack reach across all the employee base. But what if each employee had a personal coach who understood their role, the challenges they face in driving high performance, and their unique learning needs—and was available on-demand at fraction of what companies spend on learning and development (L&D) today? This is where gen AI becomes an enabler, by providing personalized human skills training at scale. Evidence from a recent experiment by the BCG Henderson Institute suggests that gen AI-powered tutoring can be as effective—and more engaging—than traditional interventions to build human skills, such as classroom training. https://lnkd.in/g8naB3Zu

I’m excited to share my new article in Black Enterprise Magazine !! ➡️ From 8 Months to 8 Days: The Future of Learning & Development I explore how AI is redefining the way organizations create and deliver learning, where it finally keeps pace with business. My article covers: ✅ How AI can automate and optimize every step of course creation to build just-in-time content ✅ Why hyper-personalization is no longer optional — learners expect content tailored to their roles, languages, and styles ✅ The role of AI in making high quality and relevant content more accessible across global teams ✅ And how L&D professionals can shift from content builders to strategic enablers In a world defined by constant change, continuous upskilling is no longer optional — AI is unlocking a new era of scalable, high-impact learning and performance. If you’re curious about how Oasis Learning AI is reshaping learning or want to explore collaboration, feel free to reach out. Full article here ➡️ https://lnkd.in/ejTNN39T #ai #startup #learning #futureofwork

Is your LMS working hard—or just taking up space? #TotaraAI turns learning platforms into strategic tools. Automate quizzes, generate content, and guide learners with AI-driven recommendations. Free your team from admin and focus on pathways that truly impact skills and performance.

AI in learning isn’t just about efficiency. It’s reshaping how learners grasp, practice, and apply knowledge.  When learners receive instant feedback and personalized explanations, it shortens the “struggle gap” -the time between confusion and clarity. That’s where engagement grows, and mistakes shrink.  For L&D leaders, this shift means:  - Faster ramp-up for complex skills.  - Scalable coaching without 1:1 bottlenecks.  - Data trails that show where learners truly need support.  We’ve seen enterprises integrate AI-powered feedback loops into compliance and technical training, resulting in a 20–30% reduction in rework time within the first year.  How is your organization experimenting with AI to accelerate learning impact?  #aiinlearning #elearning #learningimpact #lndleaders #corporatetraining #mitrlearnigandmedia #lnd #ai

Do you conduct trainings and assessments for your employees — or do you just conduct trainings? Most organizations proudly talk about their training programs. But very few can confidently say what impact those trainings created. Because training without assessment is like teaching without listening. An assessment isn’t a test — it’s a reflection. It tells you: Which skills improved (and which didn’t) Who’s ready for the next challenge Where your L&D budget truly adds value Today, AI-driven assessments are changing how organizations measure learning: 📊 Skill maps replace simple marks 🤖 AI can auto-evaluate logic, reasoning, and even programming quality 🎯 Personalized insights guide each employee’s growth path When learning becomes measurable, growth becomes inevitable. #LearningAndDevelopment #SkillAssessment #AIInHR #CorporateTraining #EmployeeGrowth #NexusIQSolutions #datascience #AI #GenAI

Probably one of the more important classes I took in school was how to understand the differences of how people prefer to function. It taught that we live on this spectrum of different capabilities that shape how we work. - Maybe we get [excite]d and share with others. - Perhaps we love to [explore] new ideas. - Others love to [examine] the details. - Finally, some enjoy [execut]ing a task to completion. A balance of each of these is super important for successful teams, and there's not one balance for all teams. Now, how does AI fit into this? AI is full of ideas, it's often very excited to work with us, it very quickly creates output, and when needed can be useful to examining details. It's the whole package, except when: - It's so excited to support you it ignores known solutions that are better. - It commits so hard to an idea it wastes your time. - It explores new concepts and gets distracted. - It gets stuck on the wrong details. All very human like problems. The people who are going to be most successful with AI are going to understand the capabilities of AI, understand its limitations, and how to make it successful. Almost exactly like a good manager. And like a good manager, it's good to understand what it is that you're asking AI to do. The more complex work you complete with AI, the more important it becomes that you understand the domain. It's why I still take the time to deep dive into systems, to write my own code, and to teach my own children to do the same. You need to know, as an AI manager, what the boundaries are for the work you're doing. That way, when it starts acting human, you can course correct and get it back on task.

The rise of generative AI is transforming how we design and deliver learning experiences. From drafting course outlines and generating videos to summarising subject matter interviews and analysing learning data, AI can free up trainers to focus on strategy and mentorship. As AI becomes our creative partner, talent development professionals can reimagine their role as curators of personalised, adaptive learning that meets learners where they are. Are we ready to embrace AI not just as a tool but as a co­c­c¬reator in the learning process?

I really like Anthony J. Cannon's take on AI change management. As someone currently studying AI adoption and change management in USC's M.S. in Applied Psychology program, I think he captured one of the biggest tensions orgs are facing right now. AI is evolving faster than people's ability to adapt to it. What resonated with me most was the point about using cognitive science and AI itself to close this gap. Traditional change plans are too slow and outdated. The new approach treats adoption as the ongoing, adaptive process that it is. My interpretation: 1. Speed: Make cycles of learning shorter instead of one big yearly plan 2. Scale: Use AI to help with training itself based on department. Also form champion teams in each function to share best practices and success stories. 3: Personalization: Use the COM-B (Capability, Opportunity, Motivation, Behavior) model to tailor learning to people's actual tasks and motivations, not generic AI sessions Bringing cognitive science (motivation, trust, training design) into the AI adoption thing might be the key to helping people actually integrate it into how they work. Exciting stuff.

In a world where AI is getting smarter by the day, the most valuable asset? The human touch. This piece from Forbes using research from Workday breaks down 5 human skills AI can’t replace and shows how schools must teach them. At CapSource our mission is about connecting real students to real industry challenges so they build the mindset and capabilities that machines can’t replicate: • Empathy. Judgement. Adaptability. • Creative problem-solving. Contextual thinking. • Collaborating, leading, responding to ambiguity. If education is just about tech skills, we’re missing the point. It’s about equipping the whole person for a future where human + machine is the new normal. Let’s make sure the next generation graduates not just knowing how… but knowing why, who, and what for. #FutureOfWork #ExperientialLearning #HumanSkills #HigherEd #CapSource https://lnkd.in/gBbA-igj