Skills for the AI Workforce

UAE Breaks Global Barriers: Introducing the World’s Boldest AI Education Revolution for Future Generations In a move that places the UAE firmly at the forefront of global innovation, the government has officially approved the introduction of Artificial Intelligence (AI) as a mandatory subject across all public schools from kindergarten to grade 12 starting with the 2025–2026 academic year. Let’s break this down: Global AI Landscape: Where the World Stands 1. The global AI market is projected to soar from $207 billion (2023) to over $1.85 trillion by 2030 2. PwC forecasts AI will contribute $15.7 trillion to the global economy by 2030 more than the combined GDP of China and India today. 3. Yet fewer than 11 countries worldwide currently have government-endorsed K-12 AI curricula (UNESCO, 2024), putting the UAE at the very top of global innovators. The Workforce Revolution: • The World Economic Forum’s 2025 Future of Jobs Report projects: 1. 170 million new jobs will be created globally by 2030. 2. 92 million jobs will be displaced. 3. Net gain: 78 million new roles many of them requiring advanced digital and AI-related skills. • Employers estimate 39% of workers core skills will change by 2030, underscoring the urgency of early, system-wide reskilling. UAE’s AI Strategy 2031: • Boost AI’s share of national GDP by 14% (≈AED 335–352 billion). • Embed AI across priority sectors: healthcare, transportation, climate, renewable energy, and education. • Rank among the world’s top 10 in AI innovation, governance, and testing. • Expand the digital economy’s non-oil GDP share from 11.7% to 20% by the early 2030s. What Makes the UAE’s Curriculum Unique? This isn’t just about teaching kids to code. It’s about: 1. Deep understanding of data, algorithms, and ethical frameworks. 2. Raising awareness of AI’s societal risks, biases, and transformative power. 3. Equipping youth to become creators, regulators, and global innovators not passive tech consumers. Why the UAE Stands Alone Globally Where many advanced economies are still debating risks or running small-scale pilots, the UAE is: → Institutionalizing AI literacy at scale. → Building national, homegrown AI talent. → Shaping international benchmarks for ethical, inclusive innovation. This aligns with the country’s boldest ambitions: 1. UAE Centennial 2071 to be the best nation in the world by its centenary. 2. Dubai Economic Agenda D33 to double the city’s economy in a decade. 3. National Innovation Strategy with AI as a central pillar for growth. As HH Sheikh Mohammed Bin Rashid Al Maktoum stated: “Our responsibility is to equip our children for a time unlike ours… with new skills and capabilities to ensure the continued momentum of development and progress in our nation for decades to come.” The UAE is not just preparing to participate in the global AI race it is setting the pace for the world to follow.

Stop banning AI in the classroom. Start teaching AI literacy. 🛑 ➡️ 💡 As an AI Literacy Trainer and Educational Diagnostician, I frequently hear from school leaders and educators who are overwhelmed by generative AI. The immediate reaction is often to block it to prevent cheating. But the real solution isn't a ban, it's a pivot. We need to shift AI from being an answer-giving machine to a thinking-support tool. Enter: The "Socratic Tutor" Method. 🧠 (Check out the infographic below!) By teaching students foundational Prompt Engineering, we empower them to use AI as a personalized, 1:1 tutor. The key is in the prompt rules: 1️⃣ NEVER give the final answer or all the steps at once. 2️⃣ Ask guiding questions to prompt the first step. 3️⃣ Gently point out mistakes and ask for corrections. This method aligns perfectly with Universal Design for Learning (UDL) principles, providing vital, scaffolded support that benefits all students, especially neurodiverse learners who may need immediate, iterative feedback to build confidence. 📊 How do we enforce and assess this? We have to change our educational assessment models. Instead of solely grading the final output, we must grade the conversation. • Require students to submit their AI chat links. • Evaluate the effort, cognitive engagement, and problem-solving process. • Reward participation over perfection. When we integrate AI Ethics & Responsible Use into our curriculum, we do more than protect academic integrity. We actively build independent thinking and prepare our students for a workforce that will demand these exact digital skills. Let’s empower our students to think with AI, not let AI think for them. #AIEducation #AILiteracy #PromptEngineering #EdTech #UniversalDesignForLearning #EducationalLeadership #FutureOfWork #AIinEducation #TeachingWithAI #AcademicIntegrity #SpecialEducation #StudentSuccess

𝗔𝗜 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗳𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀. 𝗧𝗵𝗲𝘆’𝗿𝗲 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲. If your execs can’t articulate AI’s value — you’re stuck. If your experts can’t translate use cases — you’re stalled. If your employees don’t trust the tools — adoption fails. This is the AI literacy gap — and it’s killing transformation before it even begins. 𝗪𝗵𝘆 𝗔𝗜 𝗹𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀? It’s not just about new roles or flashy tools. It’s about enabling everyone to understand, trust, and challenge AI. Gartner calls AI literacy a major trend for 2026 — and here’s why: → It’s tied to regulation (like the EU AI Act) → It drives responsible, real-world adoption → It prevents the two biggest risks: blind trust and blind rejection The idea is simple: The more people understand AI, the better they use it. That includes non-technical teams too. AI literacy means: → Knowing where AI fails (hallucinations, misuse) → Navigating compliance, ethics, and governance → Cutting through hype to focus on business value Gartner’s framework breaks it down into four key level: 𝗟𝗲𝘃𝗲𝗹 𝟭 – 𝗡𝗼𝗻𝗲: → No clue how AI works. Still far too common. 𝗟𝗲𝘃𝗲𝗹 𝟮 – 𝗕𝗮𝘀𝗶𝗰: → Understands AI concepts. Can follow, not lead. 𝗟𝗲𝘃𝗲𝗹 𝟯 – 𝗜𝗻𝘁𝗲𝗿𝗺𝗲𝗱𝗶𝗮𝘁𝗲: → Applies AI meaningfully in their work. The SME sweet spot. 𝗟𝗲𝘃𝗲𝗹 𝟰 – 𝗦𝘁𝗿𝗼𝗻𝗴: → Leads AI strategy. Evaluates trade-offs. Connects models to mission-critical goals. There’s no one-size-fits-all training when it comes to AI literacy. A tailored approach is essential. Technical teams need different training than executives or middle management. So what’s needed? Targeted upskilling — by role, by depth, by design. Because AI success isn’t just about smarter models. It’s about smarter people. 𝗜 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲𝘀𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 — 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 — 𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. 𝗬𝗼𝘂 𝗰𝗮𝗻 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲: https://lnkd.in/dbf74Y9E

How can we ensure our children are prepared for a future shaped by AI, not just as users, but as ethical digital citizens? The Malaysian National AI Office (NAIO) is pioneering AI ethics education with its "AI Ethics for Kids" program, offering free, downloadable resources designed for children aged 6-9. This initiative aims to lay the groundwork for responsible AI awareness in society, focusing on the seven AIGE principles outlined by MOSTI. These principles include fairness, reliability, safety, privacy, inclusiveness, transparency, accountability, and the pursuit of human benefit. The program's first release, "Sparky the AI: Built Fairly for Every Child to Shine!", delves into the crucial principle of fairness. Through engaging scenarios and practical activities, children learn to apply this principle, guided by parents and educators. A dedicated Teaching Guide facilitates discussions and allows for material adaptation in classrooms or at home. NAIO's resources simplify complex concepts, using analogies to explain how AI learns from data and how biases can occur. They also emphasize privacy, teaching children not to share personal information with AI without permission, and transparency, explaining AI's rules to build trust. By understanding these principles, children are empowered to make smart choices, develop future skills, and ensure technology benefits everyone. The program prepares them to be responsible creators and users of AI, fostering a future where AI is inclusive and beneficial for all. Get started today with NAIO's Teaching Guide and Activity Sheet, and help children explore fairness in AI through fun, interactive activities. These resources are designed for kids, parents, and educators, making it easy to spark discussions and encourage responsible AI usage behaviour. The key to a responsible AI future? Educating our children today. In my opinion, it's not just about teaching them how to use AI tools, but instilling a strong ethical foundation. We need to equip them with the critical thinking skills to question biases, understand data privacy, and appreciate the human element that AI can't replicate. I believe initiatives like NAIO's "AI Ethics for Kids" are crucial because they start early, making ethical considerations an integral part of their digital literacy. By engaging them in fun, age-appropriate activities, we can spark curiosity and encourage responsible AI usage. Ultimately, a future where AI benefits everyone hinges on the values we instill in our children now, ensuring they become thoughtful, ethical creators and users of this powerful technology. 🔻 The link to the resource is available in the comments section.

Over the past 10 weeks, I’ve interviewed 35 talent and learning leaders at Fortune 1000 companies for a report I’ll be releasing this fall. One of my favorite questions has been the very first one: 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐲𝐨𝐮𝐫 𝐭𝐨𝐩 𝐭𝐡𝐫𝐞𝐞 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐞𝐬 𝐫𝐢𝐠𝐡𝐭 𝐧𝐨𝐰?” With 105 priorities and counting, the responses vary widely given differences in industry, scope, and role (VP of Learning, talent, talent management, leadership development) but here is a slice of what has been shared so far: ➡️ AI and work transformation: Clarify what AI means for the workforce, its implications for roles, and how teams can adopt it to accelerate development and efficiency. ➡️ AI Coaching Pilot: Launch an AI-powered coaching pilot program across the organization to scale leadership development support. ➡️ Generative AI Upskilling: Upskill employees and leaders to effectively use generative AI in day-to-day work ➡️ Future of Work & Workforce Planning: Prepare for disruptions to job architecture by integrating human and digital workforces. Rethink responsibilities, structures, and collaboration models. ➡️ Change management: Embed change management capabilities at all levels, particularly around AI adoption. ➡️ New leadership Behaviors: Equip leaders with new capabilities to thrive in a changing environment, including adaptability, resilience, and the ability to lead in an AI-augmented workplace. ➡️ Skills and Career Paths - Creating paths by prioritized skills in our organization ➡️ Rethinking the Function: Redesign the talent and learning function to reflect disruption caused by AI ➡️ Change Leadership: Navigate a period of executive turnover and transition by stabilizing the leadership team, clarifying roles, and building confidence with functional business leaders. ➡️ Facilitating Connection: Partnering with our employee experience and workplace teams to use in-office team days for learning and connection ➡️ Linking Performance and Development: Redesign performance processes to connect directly to development, helping employees understand what growth means in practical and tangible terms. ➡️ Manager Development: Continue to strengthen manager capability and resources, ensuring managers are equipped to drive performance and support employee development ➡️ VP and SVP Development: Support and accelerate the growth of new vice presidents and senior vice presidents as they step into expanded leadership roles. ➡️ Building a Leadership Bench : Develop and execute a strategy for strengthening the leadership bench, with a focus on preparing our Top 200 leaders ➡️ AI/Learning : Using AI internally within the learning function and focusing on key skills in AI for client-facing practitioners ➡️ Academies For AI/Data Roles: Developing and rolling out an academy for our AI & Data Product Employees I’d love to hear your perspective: What stands out most to you about this list, or what themes are you seeing in this list?

In a world racing for tech, automation, and AI, we often assume one thing, "If I learn the tool, I’ll win." But here's a truth I’ve seen across 4,000+ professionals I’ve coached: Yes, technical skills open doors Soft skills keep them open and widen them An article from PeopleMatters reveals some telling figures: 1. 92% of executives say human capabilities are as important as, or more important than, technical expertise. 2. Organisations are calling for stronger communication, emotional intelligence, and adaptability: the skills AI can’t easily replicate. Let me translate this in real-world terms: You might learn every new tool, every new language, every new platform. But when change hits fast, what will set you apart is how you connect, how you understand, how you lead when the map is blank. Here’s what I’ve seen as a professional working in this space: 1. Technical knowledge can get you into the room. But relationships keep you in the conversation. 2. Clarity of thought beats volume of slides. Listening deeply beats talking loudly. 3. Adaptability, empathy, and communication aren’t soft, they’re strategic. If you’re thinking, “I'll upgrade my tech stack first, and worry about soft skills later”, Here’s your wake-up call: This “later” might already be too late. 🔻Action for you today: 🔰Maybe it’s saying less and listening more 🔰Pick one human skill you’ll actively build this week 🔰Maybe it’s asking one better question in a meeting 🔰Maybe it’s giving feedback that doesn’t feel like critique Because when tools evolve, business models shift, and technology accelerates, One thing remains constant: People Still Lead People P.S. Which human skill do you believe will give you the strongest edge right now? Let’s discuss. #SoftSkillsMatter #PowerSkills #FutureOfWork #CommunicationSkills #VrindaSpeaks

AI Literacy is no longer optional—it’s table‑stakes, right now. Why this can’t wait: 🔥 75 % of knowledge workers are already using generative AI on the job (Microsoft, 2024). 🔥40 % of the global workforce will need new skills within three years because of AI (IBM, 2024). 🔥Employers rate AI talent as a top hiring priority, yet most can’t find it (AWS / Access Partnership, 2024). If you’re not actively upskilling, you’re already behind. How leading companies are moving from trial to mandate 🧨 Microsoft: Managers now assess employees on Copilot and GitHub Copilot usage—“Using AI is no longer optional.” 🧨S&P Global: 35 000 employees enrolled in a gen‑AI academy to bake AI into every role. 🧨BDO Canada: Through our SkillUP & FutureCraft Academy, colleagues are mastering prompt‑craft, Microsoft 365 Copilot, ChatGPT and responsible AI use—because serving clients at a top‑tier level demands it. 💡Your call to action 💥Leaders: Bake AI expectations into job descriptions and performance reviews; fund company‑wide learning sprints. 💥Teams: Block 30‑minute “AI jam” sessions each week to solve real tasks and share winning prompts. 💥Individuals: Practice daily—try a new prompt, automate a recurring task, post one lesson learned. The edge isn’t who has access to AI—it’s who knows how to wield it, today. Let’s build an #AIReady workforce together. This is one of the many values of L&D! #FutureOfWork #GenerativeAI #SkillUP #BDOCanada #LearningCulture #HiddenValue

The next AI disruption won’t start where most people think. For decades, automation targeted factory floors. This time it’s targeting the office - just read the news, Meta, Salesforce, Amazon, and Oracle to name just a few. A new analysis highlighted by The Washington Post found that many white-collar roles — including fields like marketing, programming, financial analysis, and customer service — have some of the highest overlap with #AI capabilities. But here’s the twist most headlines miss: "The real risk isn’t just which jobs are exposed to AI. It’s who has the ability to adapt." Researchers found that two jobs can have similar AI exposure — but very different futures. For example: → Web designers are highly exposed to AI but are more likely to adapt because of their education levels and access to new opportunities. → Secretaries and administrative workers, many of whom are women, are among the most vulnerable because they have fewer pathways to pivot into new roles. In other words: ➤ The AI economy may not reward the smartest workers. It will reward the most adaptable ones. That’s a very different conversation from the one most companies are having. Because the real question leaders should be asking isn’t: ➤ “Which jobs will AI replace?” It’s: “Which capabilities will humans need to develop to stay valuable alongside it?” And the answer isn’t purely technical. The skills most likely to compound in the AI era are profoundly human: • Critical thinking • Judgment • Adaptability • Communication • Learning Agility AI may change the tasks inside a job. But the people who thrive will be the ones who continuously evolve how they think and learn. Which leads to a harder leadership question: ➤ Are we preparing people for their next job…or just helping them survive their current one? Because the future of work won’t be determined by who uses AI. It will be determined by who adapts faster than it evolves. Coaching can help; let's chat. #ai #leadership #humanintelligence

In January 2025, I announced the AI Literacy Project, an initiative designed to prepare individuals and organizations for the future of work by making AI education accessible and personalized. The Project is anchored in the belief that AI literacy is not just a competitive advantage, but a career and business imperative. Every professional has a choice to maintain the status quo or accelerate their AI literacy and capabilities. Core Principles: * We believe AI education should be accessible to all.  * We believe AI education will be the foundation for success in every organization. * We believe in a human-centered approach to AI that empowers and augments people.  * We believe in the value of human knowledge, experience, emotion, imagination, and creativity.  * We believe in the potential of AI to have profound benefits for humanity and society. * We believe in an open approach to sharing our AI research, knowledge, ideas, experiences, and processes. * We believe in the importance of upskilling and reskilling professionals, and using AI to build more fulfilling careers and lives. * We believe in the potential to reimagine business models, reinvent industries and careers, and rethink what's possible. * We believe in the redistribution of talent to drive growth and innovation, rather than the displacement of jobs to maximize profits from AI-powered efficiency gains. * We believe in partnering with organizations and people who share our principles. Over the last 12 months, our team has brought the vision to life through: * Monthly AI Classes: Intro to AI and 5 Steps to Scaling AI are offered live each month. More than 50,000 professionals have registered for these classes since November 2021.  * The Artificial Intelligence Show Podcast: Our weekly podcast keeps listeners up-to-date on AI news and trends. We released 60+ episodes this year, reaching nearly 1M downloads. * AI Community: A Slack community of more than 10,000 AI-forward professionals. * AI Blueprints: A collection of resources that make AI approachable for workers across industries, departments, business types, and careers. * AI Summits: AI for Writers Summit and AI for B2B Marketers Summit have free virtual registration options and attracted 8,000+ attendees in 2025.   * AI Tools: SmarterX provides a series of custom GPTs—JobsGPT, CampaignsGPT, ProblemsGPT, InnovationsGPT, Co-CEO—to drive efficiency and growth, while preparing businesses for the future of work. In addition, we reimagined and launched AI Academy by SmarterX 3.0 to accelerate personal and business AI transformation. Our new AI-powered learning platform features 9 professional certificate course series, plus 20 Gen AI App Reviews, with more content and certificates being added every week. I’m so grateful for our team who makes it possible, and for our community who trusts us to be a part of their AI journey. Lots more to come in 2026!

AI Is Both A Tool And A Target In Cybersecurity. What Skills Do You Need to Stay Relevant in the AI Era ? 1 - AI Governance and Ethics ↳ Understand the ethical use of AI, privacy concerns, and governance frameworks like the EU AI Act or NIST AI Risk Management Framework. Organizations need professionals who can ensure AI systems comply with regulations and align with ethical principles. 2 - Adversarial AI Defense ↳ Cyber-criminals are weaponizing AI for attacks. Learn how to defend against adversarial AI techniques, like poisoning machine learning models or bypassing AI-powered defenses. 3 - Secure AI Systems ↳ AI systems have unique vulnerabilities, such as data manipulation, model extraction, and bias exploitation. Gain expertise in securing AI pipelines, from training data to deployment, and mitigating these risks. To stay ahead, you need to understand how to govern it, secure it, and leverage its capabilities. These skills will not only keep you relevant but position you as a leader in the AI era of cybersecurity. Check out the AWS Generative AI Security Scoping Matrix for more detail on this topic Good luck on your journey!