Strategies for Upskilling Employees

Every customer and government leader I meet is asking, “How can we make AI a force for good for our people, and not a threat?” 92% of jobs are expected to undergo some level of transformation due to advancements in AI. The work begins with identifying and enabling the new skills and training needed for AI preparedness. That’s why I’m honored to share the insights from the AI-Enabled ICT Workforce Consortium's inaugural report, “The Transformational Opportunity of AI on ICT Jobs.” This report examines the impact of AI on 47 ICT job roles and offers tailored training recommendations. It's a unique guide to the skills needed for the AI future, with recommendations that couldn't be clearer, timelier, or more urgent. Here are some of the top takeaways: - 92% of ICT jobs will undergo high or moderate transformation due to AI. - 40% of mid-level and 37% of entry-level ICT positions will see high levels of transformation. - Skills like AI ethics, responsible AI, prompt engineering, and AI literacy will become crucial. - Foundational skills such as AI literacy and data analytics are essential across all ICT roles. Read the full report here: https://lnkd.in/gWfPc8WT The risks associated with an under-skilled, unprepared workforce are global in scale, ranging from economic wage gaps to trade imbalances, technological stagnation, social and ethical issues, and national security threats. This creates a pressing need for a coordinated effort to reskill and upskill employees around the world. By investing in a long-term roadmap for an inclusive and skilled workforce, we can help all populations participate and thrive in the era of AI. Led by Cisco and joined by industry giants like Accenture, Eightfold, Google, IBM, Indeed, Intel Corporation, Microsoft, and SAP the Consortium will train and upskill 95 million people over the next 10 years through their individual organizations' commitments.

AI can give you answers. But your friend explaining it over chai will help you remember. We’re all talking about ChatGPT replacing teachers. But the most powerful learning I’ve seen lately? Came from a student teaching his friends at 11 PM. No AI. No slides. No script. Just passion, real understanding, and a bit of humour. It was raw. It was engaging. And honestly? It worked better than most lectures I’ve attended. 🤖 ChatGPT can explain a concept. But it can’t laugh with you when you don’t get it. It can’t find your language to help you understand. It can’t stay back after class and say, “let’s go over it again.” That’s why I believe peer-led learning is the next quiet revolution in education. Here’s what happens when students teach each other: ✅ They simplify- because they have to understand first ✅ They build trust- learning feels less intimidating ✅ They remember- because teaching is the best form of learning AI is amazing. But community-based learning is timeless. 🗣 If we want education to evolve, it’s not just about tech. It’s about trust. It’s about students becoming leaders of learning. So tell me: What’s more powerful in your experience: a machine with perfect answers? Or a classmate who makes you feel like you can figure it out together? Let’s talk about it :) #peerlearning #educationinnovation #studentledlearning #futureofeducation #jaipurians #jaipur #pinkcity #drprabhatpankaj

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

🚨 NEW EPISODE ALERT – The final chapter in our Unilever interview series is here! In this last instalment of Voices in Transformation, I sit down with Adam Raeburn-James and Jane Mackie to talk about something that doesn’t get nearly enough attention in digital transformation: people. Unilever’s supply chain transformation isn’t just about implementing AI or digital twins. It’s about upskilling 23,000+ employees in AI basics, building skills hives, and creating career pathways from the shop floor to the global data science team. We discuss: 🔹 The shift from broad tech awareness to deep capabilities like prompt engineering 🔹 How factories in Brazil are using AI to cut energy usage by 25% 🔹 Why tech + human expertise is the real winning formula 🔹 What it takes to drive transformation across an entire workforce at scale This is more than just another digital transformation story. It’s a powerful case study in how to lead with people, embed learning, and build a future-ready organisation. 🎥 Watch the full episode now 👉 https://lnkd.in/eAxq2-sQ #VoicesInTransformation #SupplyChainLeadership #DigitalTransformation #AI #Upskilling #Unilever #FutureOfWork #SupplyChainInnovation #Leadership #TransformationInAction

A 12-week AI upskilling roadmap helped Amazon fill 40% of job openings internally (but most companies ignore it). Everyone panics about the AI skills crisis. The World Economic Forum data tells a different story. Skills obsolescence dropped from 57% during the pandemic to 39% projected for 2025 to 2030. The crisis is no longer accelerating. It is becoming solvable. Amazon demonstrated what a structured approach can achieve through a $1.2 billion upskilling system that delivered measurable outcomes: → 700,000 employees retrained → Apprenticeship graduates earn $21,500 more annually → 40% of internal job openings filled by reskilled employees The models that deliver results are surprisingly simple. 📌 Weeks 1 to 4: Build AI literacy. Focus on prompt engineering basics, master three to five role-specific AI tools, and complete one micro-certification. 📌 Weeks 5 to 8: Apply skills at work. Automate two to three tasks, track time saved, document quality improvements, and share learnings. 📌 Weeks 9 to 12: Build proof. Create one portfolio project, quantify impact, and position yourself for AI-adjacent roles. Technical skills now last 12 to 18 months, while digital skills decay in three. A six-month delay reduces your adaptation window by one-third. This is why the workforce is splitting. Around 48% get redeployed or upskilled. Another 11% are left behind despite employer commitments. Start now! Audit yourself against the top WEF skills such as AI, big data, cybersecurity, critical thinking, and adaptability. A score of zero to three indicates high risk. Select one high-value skill for the next 90 days and choose certifications with proven wage-premium outcomes. What is the one skill you are committed to building?

Struggling with Skills Gaps? It's Time to Transform Your Strategy. According to EY, nearly two-thirds (62%) of companies are struggling to fully leverage AI due to gaps between technology and talent. This challenge spans industries, threatening to leave many organizations behind. Companies face two key types of skills gaps: scaling up existing capabilities and sourcing entirely new ones. For instance, while many businesses have machine learning engineers, few possess the advanced skills required to implement retrieval-augmented generation (RAG) systems or knowledge graphs. So, how can you close these critical gaps? Here are four strategies to get started: 1️⃣ . Upskill Your Workforce for Future Needs It’s not just about addressing today’s gaps but also preparing your team for future roles and skills while making your organization agile enough to pivot through future disruptions. Investing in skills like prompt engineering, AI model integration, and collaborating with AI agents will be essential for long-term success. 2️⃣ . Leverage AI to Boost Efficiency and Job Satisfaction AI tools like Copilot can improve coding speed by 55%, freeing developers to focus on more complex, fulfilling work. This helps alleviate skill shortages while boosting employee satisfaction by automating repetitive tasks and fostering meaningful engagement. 3️⃣ . Close Gaps in Data and Infrastructure Whether you develop in-house capabilities or partner with external AI providers, preparing proprietary data and sourcing the right infrastructure is crucial for effective AI integration. Addressing these foundational elements is key to long-term AI success. 4️⃣ . Build Buy-In by Addressing Employee Concerns AI adoption isn’t just about tech—it’s about people. One of the biggest challenges is earning employee buy-in. Leaders need to emphasize that AI isn’t here to take jobs, but to empower employees. Refactoring roles to collaborate with AI and creating new, AI-enhanced positions provide growth opportunities and help retain top talent. ⏳ The time to act is now. AI is reshaping tasks and roles, and businesses that fail to address these gaps risk being left behind. By upskilling your workforce, modernizing your infrastructure, and fostering a culture of acceptance, you can bridge the talent and technology gaps and unlock the full potential of AI. If this resonates with you, let’s connect. I’d love to hear where you are in your AI journey and explore how I can help. #futureofwork #digitaltransformation #aiandhumans #skillsgap

Upskilling as a tech professional? Here’s a strategy that has worked for me: As the co-founder of Meetanshi and a hands-on Digital Marketer, I'm in a unique position where the digital tide waits for no one. To navigate these waters, a disciplined approach to upskilling is not just recommended, it's essential. Here's my modus operandi: 1️⃣ Trend Analysis: I stay abreast of emerging ecommerce trends and digital marketing tactics, ensuring our services are always cutting-edge. 2️⃣ Goal Setting: Every quarter, I pinpoint a specific skill or tool that will benefit our clients and set out to master it. 3️⃣ Time Management: Daily learning is part of my routine. An hour a day can lead to a wealth of new insights and ideas. 4️⃣ Selective Learning: In a field flooded with information, I carefully curate resources to focus on those with direct applicability to our services. 6️⃣ Practical Application: I don't just learn; I apply. Each new strategy is tested and refined through client projects to deliver real-world results. 7️⃣ Evaluation and Iteration: Regular reflection sessions help me assess the ROI of my learning endeavours and adjust my strategy accordingly. 8️⃣ Knowledge Sharing: Writing thought leadership articles helps me consolidate my knowledge and positions our agency as a thought leader. Now, I'd love to hear from my fellow tech professionals. How do you ensure your skills remain sharp? Share your methods and let's elevate our industry together. #Upskilling #ContinuousLearning #TechWrapIndia #LinkedInNewsIndia

A lot of time and money goes into corporate training—but not nearly enough comes out of it. In fact, companies spent $130 billion on training last year, yet only 25% of programs measurably improved business performance. Having run countless training workshops, I’ve seen firsthand what makes the difference. Some teams walk away energized and equipped. Others… not so much. If you’re involved in organizing training—whether for a small team or a large department—here’s how to make sure it actually works: ✅ Do your research. Talk to your team. What skills would genuinely help them day-to-day? A few interviews or a quick survey can reveal exactly where to focus. ✅ Start with a solid brief. Give your trainer as much context as possible: goals, audience, skill levels, examples of past work, what’s worked—and what hasn’t. ✅ Don’t shortchange the time. A 90-minute session might inspire, but it won’t transform. For deeper learning and hands-on practice, give it time—ideally 2+ hours or spaced chunks over a few days. ✅ Share real examples. Generic content doesn’t stick. When the trainer sees your actual slides, templates, and challenges, they can tailor the session to hit home. ✅ Choose the right group size. Smaller groups mean better interaction and more personalized support. If you want engagement, resist the temptation to pack the (virtual) room. ✅ Make it matter. Set expectations. Send reminders. And if it’s virtual, cameras on goes a long way toward focus and connection. ✅ Schedule follow-up support. Reinforcement matters. Book a post-session Q&A, office hours, or refresher so people actually use what they’ve learned. ✅ Follow up. Send a quick survey afterward to measure impact and shape the next session. One-off training rarely moves the needle—but a well-planned series can. Helping teams level up their presentation skills is what I do—structure, storytelling, design, and beyond. If that’s on your radar, I’d love to help. DM me to get the conversation started.

AI is here. Markets are evolving. Job roles are transforming faster than ever. By 2030, 70% of the skills we use today will change. So, how do you stay ahead? By upskilling—strategically. LinkedIn News India’s ‘Skills on the Rise 2025’ highlights the 15 fastest-growing skills—from AI Literacy to Strategic Thinking—that are defining the future of work. But knowing what’s in demand is just the first step. The real question is: How do you actually upskill? Here’s how to do it the smart way: ✅ Pick skills that align with your career goals. Don’t chase trends blindly. Choose skills that enhance your strengths and open new opportunities in your field. ✅ Learn by doing. Watching courses is great, but real learning happens when you apply new skills in projects, case studies, and problem-solving scenarios. ✅ Make AI your co-pilot, not your competition. AI won’t replace you—but someone who knows how to use it might. Start with AI literacy, Prompt Engineering, and LLMs to stay relevant. ✅ Sharpen your human skills. Creativity, Strategic Thinking, and Communication will always be in demand—because machines can’t replicate them. ✅ Network and engage. Surround yourself with people who are already excelling in these skills. Join discussions, share insights, and build connections. The future belongs to those who adapt. What skill are you focusing on this year? #LinkedInInsiderIndia #LinkedInNewsIndia

63% of employees say their company’s AI training isn’t good enough, according to TalentLMS. That’s a call to action. As AI adoption accelerates, one of the most impactful steps leaders can take is preparing teams to use these tools with confidence, and those who get this right design training as a catalyst to spark new ways of working. The most effective training programs I’ve seen share three qualities: they’re role-based, hands-on, and ongoing. 1️⃣ Role-based training helps AI adoption stick. When employees leave with three or four clear ways to apply AI immediately, those practices are far more likely to become part of daily work. 2️⃣ Hands-on beats hypothetical. Confidence grows fastest when instruction is concise and paired with time to experiment in low-risk settings. Learning by doing makes adoption real. 3️⃣ Training isn’t one-and-done. Quarterly or biannual sessions, with updates as tools or capabilities evolve, help teams feel supported and ready to keep pace. When training is structured this way, employees feel empowered to use AI, and that’s when it starts to truly transform how work gets done. #AITraining #AIEnablement #LearningAndDevelopment #EmployeeTraining #Upskilling