Emerging Skills Forecasting

Core Skills & Careers 2030: What Do We Need to Prepare For? The World Economic Forum’s Future of Jobs Report paints a fascinating picture of how work will evolve by 2030. One thing is crystal clear: it’s not just about what you know anymore, but about how you think, adapt, and apply knowledge across contexts. Look at the framework: ⚒️Emerging Skills : networks & cybersecurity, environmental stewardship, design thinking. ⚒️Core Skills of 2030 : AI & big data, analytical thinking, creativity, leadership, resilience, empathy. ⚒️Steady Skills : attention to detail, service orientation, operations. ⚒️Out-of-focus Skills : manual dexterity, rote math, simple programming. 💡 Translation? The future is human + tech + adaptability. 🔑 The Skills Employers Will Pay For 1. AI + Big Data Fluency • Every career — finance, healthcare, marketing, sustainability — will need professionals who can interpret, not just operate AI. • Careers: Data-driven strategists, AI ethicists, business analysts, digital product leaders. 2. Creative & Analytical Thinking • When algorithms automate the “easy thinking,” value shifts to solving ambiguous, complex problems. • Careers: Innovation consultants, product designers, growth strategists, research scientists. 3. Leadership & Social Influence • The hybrid workplace needs leaders who can influence without authority, build culture across geographies, and manage change. • Careers: Organizational development leaders, change managers, startup founders. 4. Resilience, Flexibility & Agility • Career paths will no longer be straight lines but zigzags. Those who thrive will be quick to pivot, reskill, and reinvent. • Careers: Portfolio professionals, gig leaders, adaptive entrepreneurs. 5. Systems Thinking & Sustainability • Businesses will be evaluated not just on profit, but on impact. Thinking in terms of ecosystems is a career superpower. • Careers: ESG specialists, policy analysts, systems designers. 🧭 How Do You Prepare for This Future? 🧰Invest in Cognitive Agility → Focus less on memorization, more on problem-solving frameworks. 🧰Build Digital Fluency → AI, automation, cybersecurity, data literacy — not optional. 🧰Develop Human-Centric Skills → Empathy, influence, collaboration will be your competitive edge. 🧰Stay Perpetually Curious → “Learnability” may soon be more important than degrees. 🧰Think in Careers 2.0 → Instead of one career identity, prepare for career portfolios. You might be a consultant, creator, and strategist — all in one decade. 🌍 The Big Shift By 2030, careers won’t be chosen only by industry (finance, healthcare, tech). They’ll be shaped by skills ecosystems. Employers will ask: • Can you analyze and adapt? • Can you lead humans and leverage machines? • Can you sustain yourself through reinvention? Those who master these core skills will not just “fit” into future careers — they’ll create them. #careers #futureofwork #careerstrategy #growthmindset #upskill

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). 

Future-Proofing Talent in Life Sciences: What the WEF “Future of Jobs 2025” report reveals about our sector’s evolution The World Economic Forum’s latest insights into the Core Skills for 2030 in the Medical and Lifesciences sector paint a compelling picture of where our industry is heading—and how we should adapt. I am intrigued by the skills that are already considered core in 2025 and expected to increase in importance by 2030 (top right quadrant, filtered for medical and life sciences). These are not just abstract trends — they signal a deep transformation in how innovation, collaboration, and impact will be achieved in the coming decade: 🧠 Analytical thinking: The backbone of scientific decision-making, but now increasingly infused with the power of data science and AI. 🤔  Creative thinking: No longer a ‘soft’ skill, but a strategic capability to solve complex, cross-disciplinary challenges. 💡 AI and big data: Essential for everything from patient stratification to predictive toxicology—digital fluency is now non-negotiable. 🤝 Empathy and active listening: As models become more complex, so do stakeholder needs. Listening well becomes as critical as technical excellence. 🔍 Curiosity and lifelong learning: Rapid innovation cycles mean static knowledge expires fast. Teams must be agile and continuously evolving. 🕸 Systems thinking: Especially relevant where interconnectedness defines biological relevance and scientific progress in general -- no silos allowed! 🎯 Leadership, resilience, and social influence: The capacity to inspire, adapt, and align teams is emerging as a key differentiator. However, the report also flags certain skills in decline. One of them caught my attention: Reading, writing, and mathematics (bottom left quadrant). This could reflect the automation of routine tasks, the integration of advanced tools, or a shift toward higher-order thinking. But here lies a potential risk: Over-reliance on tools without a strong analytical foundation can undermine scientific rigor. Tools amplify insight; they should not replace it. For leaders in life sciences, the implications are clear: ✅ Invest in multidisciplinary teams that blend cognitive, emotional, and digital skills ✅ Build cultures that promote learning agility and curiosity ✅ Ensure foundational skills remain intact while enabling forward-looking capabilities The future of our field will be shaped not just by what we discover, but by how we think, lead, and connect. How is your organization preparing for these shifts? Here is a link to the full report: https://lnkd.in/eSY39RKF #FutureOfWork #LifeSciences #BiotechLeadership #Skills2030 #InSphero #WEF #DigitalTransformation #DataDrivenScience #EmpathyInLeadership #OrganOnChip #3DCellModels

The Future of Jobs in 2030: The Skills You Master Will Define Your Destiny An estimated 59% of the global workforce will need reskilling by 2030 — but not everyone will get it. That’s one of the most sobering insights from the new World Economic Forum – Future of Jobs Report 2025. Based on 14M+ workers, 1,000 companies, and 26 industries, the report outlines a fundamental reality: AI isn’t just coming — it’s rewriting the rules of work. By 2030: • 92M jobs will vanish. • 170M new jobs will be created. • 39% of core skills will be outdated. • And AI will be the #1 disruptor and opportunity. But here’s the twist: While roles like AI specialists, big data analysts, and quantum engineers will surge — they’re also most likely to be automated. Meanwhile, the skills least replaceable by machines? Emotional intelligence. Creative thinking. Lifelong learning. Leadership. The most human parts of us. Top 10 Core Skills for 2030 (WEF): 1. AI and Big Data 2. Technological Literacy 3. Creative Thinking 4. Resilience, Flexibility & Agility 5. Analytical Thinking 6. Leadership & Social Influence 7. Motivation & Self-awareness 8. Systems Thinking 9. Talent Management 10. Curiosity & Lifelong Learning I’d argue that #10 may end up more important than #1. Why? Because AI models will evolve. Architectures will change. Tools will come and go. But math stays. Thinking stays. Learning stays. Upskilling is no longer a perk. It’s survival. Whether you’re in logistics, finance, law, or marketing, you need to ask: • How will AI reshape my industry? • How can I adapt before I’m left behind? • How am I investing in the human edge? This isn’t about chasing shiny AI certificates. It’s about building a mindset of adaptability, curiosity, and resilience — and strengthening the foundations like math, critical thinking, and systems understanding. Let’s be honest: If you’re not evolving, you’re not standing still — you’re falling behind. You’re either helping build the future… …or watching it pass you by. My advice? • Learn the language of AI — not just how it works, but how to work with it. • Strengthen your emotional intelligence. • Invest in experience capital — your judgment, leadership, creativity, and ability to connect across boundaries. By 2030, I might be building an AGI in the 11th dimension… but I’ll still be using curiosity, communication, and lifelong learning to make it happen. What skill are you working on for the future?

The most important skills today and in the next years will be human capabilities: critical and analytic thinking, resilience, leadership and influence, overlaid with technological literacy and AI skills to amplify these human capacities. World Economic Forum's new Future of Jobs Report provides a deep and broad analysis of the drivers of labour market transformation, the outlook for jobs and skills, and workforce strategies across industries and nations. It's a really worthwhile deep dive if you're interested in the topic (link in comments). Here are some of the highlights from the Skills section, which to my mind is at the heart of it. 🧠 Analytical Thinking Leads Core Skills. Skills like analytical thinking (70%), resilience (66%), and creative thinking (64%) top the list of core abilities for 2025. By 2030, the emphasis shifts even more towards AI and big data proficiency (85%), technological literacy (76%), and curiosity-driven lifelong learning (79%). This shift underscores the critical role of technology and adaptability in future workplaces. 📉 Skill Stability Declines but at a Slower Rate. Employers predict that 39% of workers' core skills will change by 2030, slightly lower than 44% in 2023. This reflects a stabilization in the pace of skill disruption due to increased emphasis on upskilling and reskilling programs. Half of the workforce now engages in training as part of long-term learning strategies compared to 41% in 2023, showcasing the growing adaptation to technological changes . 🌍 Economic Disparities in Skill Disruption. Middle-income economies anticipate higher skill disruption compared to high-income ones. This disparity highlights the uneven challenges of transitioning labor forces across global regions, particularly in economies still grappling with structural changes. 🚀 Tech-Savvy Skills in High Demand. The adoption of frontier technologies, including generative AI and machine learning, is increasing the demand for skills like big data analysis, cybersecurity, and technological literacy. These trends indicate that businesses are aligning workforce strategies to integrate these advancements effectively. 📚 Upskilling Is the Norm, Not the Exception. By 2030, 73% of organizations aim to prioritize workforce upskilling as a response to ongoing disruptions. This reflects a shift in corporate investment priorities towards human capital enhancement to maintain competitiveness.

8 billion people think 2030 is far away. It's 2026. You have 4 years. The World Economic Forum just mapped the skills that will separate the irreplaceable from the replaceable. Here's what the data actually says: → Core Skills (high now, growing fast) The ones you can't afford to ignore. - AI and big data - Technological literacy - Analytical thinking - Creative thinking - Resilience, flexibility and agility - Curiosity and lifelong learning → Emerging Skills (low now, but rising fast) Get ahead of the curve before everyone else does. - Networks and cybersecurity - Environmental stewardship - Design and user experience → Steady Skills (core now, but plateauing) Table stakes. Not your edge. - Leadership and social influence - Empathy and active listening - Resource management → Out-of-Focus Skills (declining in priority) Not where you want to double down. - Manual dexterity - Multi-lingualism - Reading, writing, mathematics (standalone) The pattern is clear: The future belongs to people who can think, adapt, and work with AI — not against it. Technical skills without cognitive flexibility won't cut it. Soft skills without technological literacy won't either. The winners in 2030 will be the ones who started building in 2026. Where are you investing your next 4 years? Follow me Ali Kamaly for more AI/Smiconductor breakdowns. ♻️ Repost to help your network learn the skills of the future. #FutureOfWork #Skills2030 #AI #Semiconductors #CareerGrowth #WEF #TechSkills #Upskilling

McKinsey & Company 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝗮 𝟱𝟬+ 𝗽𝗮𝗴𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗔𝗜, 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗰𝗼𝘂𝗹𝗱 𝘂𝗻𝗹𝗼𝗰𝗸 $𝟮.𝟵 𝘁𝗿𝗶𝗹𝗹𝗶𝗼𝗻 𝗯𝘆 𝟮𝟬𝟯𝟬. There is no doubt that work in the future will not be human-only or machine-only, but a coordinated system of people, agents, and robots operating together. This matters because the structure of work - not the number of jobs - is what will shift first, as core skills are redeployed and new forms of human-machine collaboration become central to productivity. 𝗔𝘁 𝗮 𝗴𝗹𝗮𝗻𝗰𝗲, 𝗠𝗰𝗞𝗶𝗻𝘀𝗲𝘆 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗳𝗶𝘃𝗲 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘀𝗵𝗶𝗳𝘁𝘀: ↓ 1 - 𝗪𝗼𝗿𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗮 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗽𝗲𝗼𝗽𝗹𝗲, 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗿𝗼𝗯𝗼𝘁𝘀 - 𝗮𝗹𝗹 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗔𝗜: ➜ McKinsey notes that today’s technologies could theoretically automate more than half of current US work hours. This shows how profoundly work may change, but it is not a forecast of job losses. Adoption will take time. As it progresses, some roles will shrink, others will grow or shift, and new ones will emerge - with work increasingly centered on collaboration between humans and intelligent machines. 2 - 𝗠𝗼𝘀𝘁 𝗵𝘂𝗺𝗮𝗻 𝘀𝗸𝗶𝗹𝗹𝘀 𝘄𝗶𝗹𝗹 𝗲𝗻𝗱𝘂𝗿𝗲, 𝘁𝗵𝗼𝘂𝗴𝗵 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗹𝘆: ➜ The reports stats that more than 70 percent of the skills sought by employers today appear in both automatable and non-automatable work. Most skills remain relevant, but how and where they are used will evolve. 3 - 𝗠𝗰𝗞𝗶𝗻𝘀𝗲𝘆’𝘀 𝗻𝗲𝘄 𝗦𝗸𝗶𝗹𝗹 𝗖𝗵𝗮𝗻𝗴𝗲 𝗜𝗻𝗱𝗲𝘅 𝘀𝗵𝗼𝘄𝘀 𝘄𝗵𝗶𝗰𝗵 𝘀𝗸𝗶𝗹𝗹𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗺𝗼𝘀𝘁 𝗮𝗻𝗱 𝗹𝗲𝗮𝘀𝘁 𝗲𝘅𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗳𝗶𝘃𝗲 𝘆𝗲𝗮𝗿𝘀: ➜ Digital and information-processing skills could be the most affected, while those related to assisting and caring are likely to change the least. 4 - 𝗗𝗲𝗺𝗮𝗻𝗱 𝗳𝗼𝗿 𝗔𝗜 𝗳𝗹𝘂𝗲𝗻𝗰𝘆 - 𝘁𝗵𝗲 𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝘂𝘀𝗲 𝗮𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗲 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 - 𝗵𝗮𝘀 𝗴𝗿𝗼𝘄𝗻 𝘀𝗲𝘃𝗲𝗻𝗳𝗼𝗹𝗱 𝗶𝗻 𝘁𝘄𝗼 𝘆𝗲𝗮𝗿𝘀: ➜ According to McKinsey, this growth is faster than for any other skill in US job postings. It is visible across industries and likely marks the beginning of much bigger changes ahead. 5 - 𝗕𝘆 𝟮𝟬𝟯𝟬, 𝗮𝗯𝗼𝘂𝘁 $𝟮.𝟵 𝘁𝗿𝗶𝗹𝗹𝗶𝗼𝗻 𝗼𝗳 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝘃𝗮𝗹𝘂𝗲 𝗰𝗼𝘂𝗹𝗱 𝗯𝗲 𝘂𝗻𝗹𝗼𝗰𝗸𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗻𝗶𝘁𝗲𝗱 𝗦𝘁𝗮𝘁𝗲𝘀:  ➜ If organizations prepare their people and redesign workflows - rather than individual tasks - around people, agents, and robots working together. More in the comments and report below! ↓ 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗱𝗲𝗲𝗽𝗲𝗿 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗼𝗻 𝗔𝗜, 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝘆𝗼𝘂’𝗹𝗹 𝗳𝗶𝗻𝗱 𝘁𝗵𝗲𝗺 𝗶𝗻 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗛𝘂𝗺𝗮𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗟𝗼𝗼𝗽: https://lnkd.in/dbf74Y9E

New research drop! What are the fastest-growing skills in cybersecurity? In a new FourOne Insights article, we dive into the data to track the emerging skills disrupting cyber jobs. The findings? ➡️ Skills are evolving rapidly across the cyber ecosystem Since 2023, 23% of key #skills in cyber jobs have changed. This means cyber pros must adapt roughly a quarter of their skills every two years. ➡️ AI leads the pack, but isn’t the whole story Generative AI is the fastest-growing skill in #cybersecurity, with employer demand jumping an eye-popping 678% since 2023. However, rapid growth is also occurring in skills related to a shifting regulatory landscape (e.g. GDPR), emerging cyber practices (e.g. Zero Trust Architecture), and even cloud (e.g. Cloud-Native Computing). ➡️ Emerging skills are undersupplied and expensive All of the fastest-growing skills face a dearth of available workers, and that’s boosting salaries. Some emerging skills command salary premiums well over $25,000. My main takeaway? Employers must bear more responsibility for upskilling their cyber pros. To be sure, individuals also need to proactively learn these emerging skills, and educators must integrate them into their curricula. But the speed of skill change, coupled with a lack of skilled workers and bloated hiring costs for emerging skills, means employers have an economic imperative to invest in training their workers. The good news? This could be a great win-win for both employers - who save money and access more highly skilled employees - and cyber pros - who develop high-value skills. See more in the comments 👇 #cybersecurityjobs #emergingskills #training

The World Economic Forum's Future of Jobs Report 2025 was release earlier this month. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝗺𝘆 𝘁𝗼𝗽 𝟱 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: 𝟭. 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗰𝗰𝗲𝘀𝘀 𝗮𝗻𝗱 𝗔𝗜 𝗮𝘀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝗙𝗼𝗿𝗰𝗲𝘀: Broadening digital access, advancements in AI, and related technologies like robotics and automation are expected to transform industries by 2030. Technology-related skills such as AI, big data, and cybersecurity will be critical for workforce success. 𝟮. 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗧𝗿𝗲𝗻𝗱𝘀 𝗦𝗵𝗮𝗽𝗶𝗻𝗴 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: Increasing cost of living and inflation will transform businesses, emphasizing the need for creative thinking, resilience, flexibility, and agility. 𝟯. 𝗚𝗿𝗲𝗲𝗻 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗖𝗹𝗶𝗺𝗮𝘁𝗲-𝗗𝗿𝗶𝘃𝗲𝗻 𝗥𝗼𝗹𝗲𝘀: Climate-change mitigation and adaptation are reshaping industries, creating demand for renewable energy engineers, environmental engineers, and roles in autonomous and electric vehicle technologies. 𝟰. 𝗗𝗲𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰 𝗦𝗵𝗶𝗳𝘁𝘀 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗶𝗻𝗴 𝗟𝗮𝗯𝗼𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝘀: Aging populations in high-income countries and expanding working-age populations in lower-income regions are driving demand for healthcare, education, and talent management roles. 𝟱. 𝗦𝗸𝗶𝗹𝗹 𝗚𝗮𝗽𝘀 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Skill gaps remain the largest barrier to business transformation, with over half the workforce needing upskilling or reskilling by 2030. Employers are prioritizing initiatives to develop analytical thinking and technological literacy. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗼𝗳 𝗺𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗲𝗽𝗼𝗿𝘁: 𝟭. 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: AI will lead to significant business model transformations, driving both job creation and displacement. The demand for AI-specific skills will outpace supply, pushing industries to invest heavily in training and hiring AI talent. 𝟮. 𝗦𝘂𝗿𝗴𝗲 𝗶𝗻 𝗚𝗿𝗲𝗲𝗻 𝗘𝗰𝗼𝗻𝗼𝗺𝘆 𝗥𝗼𝗹𝗲𝘀: The global push for climate-change mitigation will result in exponential growth in renewable energy, environmental engineering, and green technology jobs, becoming a cornerstone of economic development by 2030. 𝟯. 𝗦𝗸𝗶𝗹𝗹 𝗜𝗻𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗟𝗶𝗳𝗲𝗹𝗼𝗻𝗴 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: As nearly 40% of skills are expected to transform by 2030, lifelong learning and adaptability will be key differentiators for workforce success. Public-private partnerships will likely expand to fund and implement reskilling programs. Access the full report at https://lnkd.in/g9cbCQcv #WorldEconomicForum #FutureOfJobs #AI #FutureOfWork

You've probably gathered this already if you've been following the news, but according to WEF (World Economic Forum) we can expect '𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗱𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻' for 2026. Almost three-quarters of chief economists believe global growth may slow down, as the world navigates ongoing changes in trade and technology. 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗝𝗼𝗯𝘀 𝟮𝟬𝟮𝟱 𝗿𝗲𝗽𝗼𝗿𝘁 (https://lnkd.in/euciPR8z) states that roughly 39% of core skills are expected to change (or become outdated) by 2030, reinforcing the idea of a new skills imperative in response to technological and economic shifts.   𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗟&𝗗?   𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝘀𝗸𝗶𝗹𝗹𝘀 Consider treating analytical thinking, resilience and leadership and social influence as core capabilities to build across the workforce, as these sit at the top of employers’ skills priorities for the rest of the decade. Use these categories to audit your current curriculum and 'retire or refocus' learning that does not directly support the skills WEF highlights as rising in importance. 𝗕𝘂𝗶𝗹𝗱 𝘀𝗸𝗶𝗹𝗹𝘀‐𝗯𝗮𝘀𝗲𝗱 𝗿𝗼𝗮𝗱𝗺𝗮𝗽𝘀 You could perhaps translate the WEF skills outlook into a skills framework for your organisation (roles, proficiency levels, and “future‑critical” areas) and align learning pathways to close those gaps. 𝗟𝗶𝗻𝗸 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗞𝗣𝗜𝘀 Most importantly, for every priority skill, define 1–3 business metrics that should move, e.g.  • Improved analytical thinking linked to forecast accuracy  • Project cycle time  • Error rates Then track them alongside completions and satisfaction scores. We could be in for a bumpy ride in 2026, it's best to be prepared! #CLO #LearningLeader