Training Needs Prioritization

The World Economic Forum’s #FutureofJobsReport 2025 has just been published, on January 9th, and as always, it offers fascinating insights into the shifting dynamics of the global job market. It is a long report, with lots of valuable data. From my perspective, this chart may be the most interesting view included in it. A goldmine for reflection and strategy. The #fastest_growing_roles are - almost all of them - dominated by #AI: Data Specialists, Machine Learning Experts, FinTech Engineers, etc. Notably, green tech (e.g., Renewable Energy Engineers, Environmental Engineers) is also surging. This underscores how deeply intertwined AI and sustainability have become in shaping our economies. Organizations investing in these areas are not just future-proofing their business—they’re building the future. On the other end, #declining_roles reflect a shift toward #automation. Jobs like Bank Tellers, Cashiers, and Data Entry Clerks are rapidly shrinking, displaced by technology that offers efficiency and cost savings. While this presents significant challenges for those in these professions, it also highlights the urgent need for upskilling and reskilling. Some Implications for Leaders: 1. Talent Strategy Must Evolve: Leaders need to focus on cultivating talent pipelines for roles that didn’t exist a decade ago. From DevOps Engineers to UI/UX Designers, the demand for skills at the intersection of technology and creativity is exploding. 2. Reskilling is Non-Negotiable: Companies must view reskilling as an investment rather than a cost. Employees in declining roles need pathways into emerging professions—this is as much about social responsibility as it is about long-term competitiveness. 3. AI Adoption is Key—but Ethical AI Even More So: The integration of AI isn’t just a trend—it’s a foundational shift. But as we adopt AI in business processes, ensuring ethical and inclusive implementation will differentiate the winners from the rest. In addition, this chart doesn’t just speak to business; it speaks to the broader socio-economic fabric. The gap between the “haves” and “have-nots” in terms of skills is growing. If we fail to address this through public and private partnerships, we risk creating a polarized workforce—one half thriving in high-growth industries and the other struggling in declining sectors. For me, the biggest takeaway is that growth and decline are two sides of the same coin. Where some see loss, others see opportunity. The challenge is ensuring we don’t leave anyone behind in this transition. I really hope that our government leaders, educators, institutional representatives, top managers, and as many people as possible will see, understand, and act based on this data...

Upskilling Strategies: Yesterday we looked at the Upskilling for business success and today we're going to look at customizing learning pathways for your Tech team. In today’s tech landscape, a one-size-fits-all approach to training just doesn’t work. To build a high-performing, future-ready tech team, upskilling programs need to be personalized and role-specific. 🔍 Start by assessing your team’s current skills: Use skills assessments, 360-degree feedback, and project performance reviews to understand the strengths and gaps within your tech teams. 🔑 Tailor learning pathways to meet the needs of specific roles within your organization. A few examples: ·       Cloud Engineers can benefit from certifications and training in platforms like AWS, Microsoft Azure, or Google Cloud. ·       DevOps Teams should focus on tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines to streamline workflows and improve collaboration. ·       Cybersecurity Specialists need continuous learning in threat detection, encryption, and certifications like CISSP or CEH. ·       Software Developers could advance their skills in languages like Python or Java, or explore microservices and API development. 🎯 Personalization matters. When you align learning paths with individual roles and career goals, your team is more engaged and motivated, and the impact of upskilling is much greater. To create a successful upskilling strategy: ·       Set clear development goals based on current and future business needs. ·       Leverage e-learning platforms that offer customizable learning paths and assessments. ·       Encourage mentorship and peer learning to reinforce new skills within the team. ·       Investing in personalized learning paths doesn’t just future-proof your workforce—it drives innovation, improves retention, and keeps your tech teams agile and ready for the challenges ahead. Are your upskilling programs tailored to the unique needs of your tech team? #upskilling #personalizedlearning #techtrends #cloudengineering #DevOps #cybersecurity #continuouslearning #workforcedevelopment

Singapore’s workforce is in a skills reset. What got you hired won’t keep you relevant by 2030. CORE (Double Down) Human skills no machine replicates: • Critical & Creative Thinking • Leadership & Influence • Empathy & Listening • Self-Management & Motivation • Learning Agility EMERGING (Upskill Now) Demand is exploding across Singapore’s digital-green economy: • AI & Data Literacy • Cyber & Network Fluency • Sustainability Intelligence • Talent & Capability Design OUT-OF-FOCUS (Deprioritise) Routine, rule-based, tool-specific skills — automate or move on. Reality Check The edge isn’t tech alone. It’s the fusion of human judgment with digital fluency. Those who can lead with empathy, think critically, and learn fast will own the future of work. What you can do: 1. Audit: list 6 skills you use weekly and tag each Core/Emerging/Out-of-Focus. 2. Close gaps: pick one Core to master and one Emerging to apply in a real project within 90 days. 3. Institutionalise: align learning to SkillsFuture/Jobs-Skills frameworks and employer demand data.  Outcomes you must measure (minimum) • Two demonstrable projects in 6 months that show a Core skill applied with an Emerging capability. • Evidence of impact (time saved, revenue enabled, risk reduced, stakeholder adoption). 

The last decade has ushered in unprecedented levels of change for the workforce - from the rise of hybrid working to the rapid integration of #AI in the workplace. To ensure the workforce is equipped to succeed, we need to do more than just respond to change. We need to anticipate it. The World Economic Forum #FutureofJobs report reveals that employers expect a mix of technical and human centric skills to be of increasing importance, with AI & big data at the top of the list: •       AI and big data •       Technological literacy •       Curiosity •       Resilience, flexibility and agility Crucially, however, some of the fastest-rising skills are not yet widely prioritized: cybersecurity and environmental stewardship are notable examples. These are areas where organizations may need to build capabilities before it becomes critical. Workforce transformation can’t just be reactive. It requires targeted skills development and career mobility strategies that prepare people for emerging roles – not just the ones that exist today. How are you—whether as a leader or an individual—investing in the skills that will shape the future of work?

Trainers must be more than experts— Here's the secret to delivering impactful training sessions, no matter what comes your way. As a trainer, being prepared for instant changes in the delivery of any concept requires a flexible and adaptive mindset. Here are key strategies to help you stay prepared: 1. Thorough Subject knowledge - 📕 Master the content so well that you can break it down or present it in multiple ways, adapting to the audience’s needs. This will allow you to explain complex ideas in simpler terms or delve deeper if required. 2. Audience Analysis - 🧐 Before the session, understand your audience's knowledge level, learning preferences, and possible challenges. This will help you anticipate where you might need to adjust your delivery. 3. Create a Session Outline - 📝 Have a structured outline that allows for adjustments. Include different examples, analogies, and activities so that you can switch methods if needed. 4. Plan for Flexibility 🧘 - Build in buffer time to the session plan, allowing you to address questions or revisit concepts without rushing. Be prepared to cut less essential content if time constraints arise. 5. Use Interactive Methods 🗣️ - Include interactive methods such as Q&A, group discussions, or problem-solving activities. These allow you to gauge understanding and shift the delivery based on immediate feedback. 6. Technology Familiarity - 🧑💻 Know the tools and platforms you are using so you can quickly adapt, whether it’s changing slides, moving between resources, or using multimedia to reinforce concepts. 7. Stay Calm and Confident ☺️ - If a change in delivery is necessary, remain calm and composed. Confidence reassures the audience, and maintaining a positive attitude will help you navigate unexpected changes smoothly. 8. Prepare Backup Plans 🖋️ - Have alternative examples, exercises, or activities ready in case the original approach does not resonate with the group. 9. Stay Current 🏃 - Keep up with the latest trends, tools, and methods in training and your field of expertise. This allows you to bring fresh perspectives and solutions to any spontaneous situation. 10. Gather Feedback ✍️ - After a session, ask for feedback to understand where adjustments were successful or where improvements are needed. This helps in refining your ability to adapt in future sessions. Being prepared for changes is about blending preparation with flexibility and having the confidence to switch gears when necessary. #confidence #trainthetrainer #training #softskills #leadership #communication #learning

When you align learning strategy with how the brain actually learns you'll find that performance improves. In many organisations, learning still means content delivery - I battle this challenge regularly. L&D teams measure outputs like number of courses, completions, attendance rather than outcomes. But humans don’t learn by consuming information. They learn by connecting ideas, making meaning, and putting their knowledge and skills into practice over and over again until their brains physically change. If you want to genuinely change behaviour and performance in your organisation then your whole strategy needs to be designed with the brain in mind. Here are three practical principles to share with your design and delivery teams: 🧠 Space, don’t cram Learning needs time to settle. Encourage teams to design experiences that build over time rather than delivering everything in one go. The return on retention is remarkable. 💡 Engage peoples emotions People remember what feels relevant and real. Challenge your designers to stimulate learners emotions with hooks like stories, challenges and personal connections. Don't just design pretty slides. 🔄 Practice and retrieval Learning journeys, rather than one off events, give people time to apply, reflect, and test new skills where it matters - on the job. This doesn't mean repetition for its own sake; it's simply how neural pathways are strengthened. When your learning strategy aligns with how the brain naturally works key metrics like engagement, performance and business impact improve. How do you enable your teams to bring brain science into the way they design and deliver learning?

One of the biggest shifts I’ve seen in online education is that the most successful learning businesses are designing for change, not just for completion. People don’t buy courses because they want to watch videos but because they want something to change, whether it’s in their work, their skills, their business or their life. Whether you're offering education as part of a product or your entire business is built around learning, one thing remains true: real impact comes from focusing on transformation, not just content. That means going beyond lessons and modules. It means building systems that support the full learning journey — like community spaces, group meetups, instructor-led discussions, live Q&As, personalized learning paths and even nudges or gamification to keep people engaged. And more recently, AI-led learning experiences. When you do that well, something powerful happens: Learners don’t just complete your course, they come back. They share wins. They ask better questions. And they bring others with them. I’ve seen course creators drive so much transformation, their learning programs surpass their original business in revenue. That’s the power of designing for change (not just completion). The best learning businesses today aren’t chasing minutes watched. They’re helping people grow.

����𝐡𝐞 𝐒𝐞𝐜𝐫𝐞𝐭 𝐭𝐨 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐓𝐡𝐚𝐭 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐖𝐨𝐫𝐤𝐬? 𝐒𝐭𝐚𝐫𝐭 𝐚𝐭 𝐭𝐡𝐞 𝐄𝐧𝐝. 🏁 I used to think my job as an L&D professional started with a syllabus. I was wrong. Recently, I was tasked with building a learning solution for our Talent Acquisition (TA) team. The goal wasn’t just to "train recruiters"—it was to solve a business problem. Instead of looking at what they needed to know (Level 2), I started with what the business needed to achieve (Kirkpatrick Level 4). The "Reverse" Approach I didn’t start with slides. I started by analyzing Voice of the Customer (VOC) survey results, focusing on various metrics from both Hiring Managers and Candidates. Working Backwards: ✅ Level 4 (Results): I defined the business KPI. ✅ Level 3 (Behavior): Based on the VOC metrics, I identified the specific actions recruiters needed to change—specifically around "Precision Intake" and "Candidate Experience Management." ✅ Level 2 & 1 (Learning & Reaction): Only then did I design the actual training content that addressed those specific behavior gaps. The Result? The training didn't feel like a chore; it felt like a solution. Because I built it based on the actual metrics revealed in the VOC surveys, the TA team saw immediate value, and the business saw a measurable shift in hiring efficiency. The Lesson: If you want your learning solutions to be more than just "check-the-box" exercises, stop asking "What should we teach?" and start asking "What does the data say I need to solve?" How do you use VOC data to shape your enablement programs? 👇 #LearningAndDevelopment #InstructionalDesign #TalentAcquisition #KirkpatrickModel #Enablement #DataDrivenLD #BusinessImpact

 🏫Future University 🏫 In responding to one of my recent posts, Julie (JR) Rowland challenged me to envision the future university. I replied with a vision of the future university as a dynamic, decentralised physical and digital ecosystem that integrates education, work, and community service into a continuous learning journey. This new university is designed to adapt to the rapidly changing global landscape, harnessing the power of technology to make learning accessible, personalised, and directly applicable to real-world challenges. Its purpose is to foster lifelong learning, innovation, and collaboration, preparing individuals not just for today's jobs but for the challenges and opportunities of the future. Its value proposition is its ability to integrate theoretical knowledge with practical application, thereby enhancing individual capabilities, addressing societal challenges, and driving economic and social progress. Let's imagine a day in the life of a student attending this university: Maria is a learner at Future University, a global network without a traditional campus. Her day begins in her local community hub, a co-working space with advanced technology, including AI tutors, surrounded by a vibrant community of learners, mentors, and professionals from surrounding companies. Maria's morning is spent working on a project with a technology startup, part of her apprenticeship program. She's developing a sustainable energy solution, applying skills learned in her interdisciplinary studies. Her AI tutor facilitates the project, which suggests resources and learning modules based on the challenges she encounters in real time. Lunch is an opportunity for a mentorship meeting at the community hub, where Maria discusses her project's progress with her mentor, a senior engineer with global experience. They use a blockchain-based platform to record milestones and feedback, contributing to her personalised learning record. In the afternoon, Maria heads to an open innovation lab, a collaborative space where students, faculty, and industry professionals work together on research projects. Today, they're analysing data from their sustainable energy project to predict energy consumption patterns. This research is part of a larger initiative shared with partnering organisations across the globe. Maria spends her evening participating in a global skill exchange webinar, where she shares her project experiences with a global audience and learns from others working on similar projects. This platform allows her to connect with peers, enhancing her global network and exposing her to diverse perspectives. Before bed, Maria reflects on her day's learning, using her digital portfolio to document her achievements, skills and areas for growth. This portfolio, secured on the blockchain, is a comprehensive record of her lifelong learning journey, accessible to potential employers and collaborators. #futureofeducation #Highereducation

If you’re in Learning and Development… And you’re optimising for "checking the boxes" on training programs… IMO, we’re missing a trick. The likelihood of driving real behaviour change through surface-level programs is low. But when we focus on how people actually learn and grow? Game-changer. So, what should we be optimising for? ✅ Optimise for brain-friendly learning. Understand how the brain processes and retains information. Use spaced repetition, storytelling, and active engagement to make learning stick. ✅ Optimise for emotional engagement. People don’t learn well when they’re stressed or disengaged. Create safe, inspiring environments that spark curiosity and connection. ✅ Optimise for growth, not perfection. Shift the focus from “getting it right” to embracing mistakes as opportunities. Build a culture where learning is continuous, not a one-and-done event. ✅ Optimise for relevance. Every brain asks the same question: “Why does this matter to me?” Design programs that are actionable, personalised, and tied to real-world challenges. ✅ Optimise for habits, not just skills. Skills fade if they aren’t reinforced. Help people build habits that embed what they’ve learned into their daily work. AND DON’T FORGET… 🎉 Optimise for your own development. L&D professionals often pour into others but forget themselves. Stay curious. Seek out trends. Connect with peers who challenge and inspire you. CLO100 If you treat your role as a learning journey—for both yourself and your organisation—then the impact you create will be exponential.