Strategies for Upskilling Employees

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

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

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.

Upscale and Reskill Talent at Manufacturing Sites In today's rapidly evolving manufacturing landscape, companies continuously seek innovative ways to enhance productivity, improve efficiency, and stay ahead of the competition. With the integration of Artificial Intelligence (AI) to upscale and reskill talent at manufacturing sites and leveraging AI-driven solutions, organizations can optimize operations, empower their workforce, and achieve unprecedented success. 1. Identifying Skill Gaps through Data Analysis Machine learning algorithms and predictive analytics can analyze vast data and identify skill gaps within the manufacturing workforce. By examining factors such as employee performance, historical data, and industry trends, organizations can gain invaluable insights into areas where upskilling and reskilling efforts are required. This data-driven approach enables targeted training programs, ensuring employees receive the specific knowledge and skills needed to thrive in their roles. 2. Personalized Learning Paths It is crucial to provide personalized learning paths for each employee. AI-powered platforms can assess individual skill sets, learning preferences, and career aspirations to create tailored training programs. By offering personalized learning experiences, organizations can foster employee engagement and motivation and accelerate their professional growth. 3. Virtual Reality (VR) and Augmented Reality (AR) Training VR and AR technologies are revolutionizing training methodologies in the manufacturing sector. These technologies enable employees to simulate real-world scenarios, practice complex tasks, and develop critical skills in a safe and controlled environment. By leveraging VR and AR training programs, organizations can enhance the learning experience, boost knowledge retention, and improve operational efficiency. 4. AI-Enabled Performance Support AI-driven performance support systems provide real-time guidance and assistance to employees on the manufacturing floor. By utilizing sensors, IoT devices, and AI algorithms, these systems can monitor operations, identify potential bottlenecks, and offer actionable insights to optimize workflow. Furthermore, AI can provide instant feedback and suggestions to enhance employee performance, ensuring high-quality output and reducing errors. 5. Collaborative Robots (Cobots) Collaborative robots, "cobots," are designed to work alongside human workers, complementing their skills and capabilities. Cobots are equipped with AI algorithms that enable them to learn from human operators, adapt to changing production requirements, and perform repetitive or physically demanding tasks. Manufacturers can enhance productivity, improve workplace safety, and free up human resources for more complex and strategic assignments by deploying cobots. Embracing these best-in-class strategies will empower the manufacturing workforce, foster innovation, and pave the way for a successful future.

🚫 STOP saying: “AI won’t replace you. A person using AI will.” It sounds more like a threat than a strategy. It shuts down the conversation instead of opening it. Because when employees express fear about AI, they don’t need clichés. They need a plan. Show you’re investing in them, not replacing them. Upskilling isn’t just about training. It’s about trust. So don’t just quote the internet. Show them where they fit in and how to grow. Here are 7 ways leaders can actually do that: 1. Start with listening ↳ Let them voice fears and skepticism ↳ Don’t respond with a TED Talk 2. Audit current roles ↳ Identify tasks that could be enhanced (not replaced) ↳ Talk openly about what AI can actually do 3. Invest in AI literacy ↳ Offer bite-sized, low-pressure workshops ↳ Demystify AI without overwhelming your team 4. Create low-stakes practice zones ↳ Let employees test tools with no deadlines ↳ Make it okay to play, learn, and even mess up 5. Celebrate progress, not perfection ↳ Highlight effort, experimentation, and curiosity ↳ Focus less on mastery, more on momentum 6. Pair learning with real work ↳ Show how AI can solve actual small problems ↳ Build skills while building solutions 7. Repeat the message ↳ “You’re part of the future.” ↳ “And we’re building it together.” No trust, no transformation. AI adoption isn’t just strategy, it’s a trust fall. 💬 What’s one step you’ll try with your team? ♻️ Repost if you’re investing in people, not just tech. 👣 Follow Janet Perez for more like this.

Recent research from Indeed Hiring Lab indicates that while GenAI is unlikely to fully replace human workers, it will provide significant augmentation to human capabilities. Their analysis of over 2,800 skills shows that GenAI best handles repetitive and knowledge-based tasks, allowing humans to focus on core skills requiring ingenuity, hands-on application, and interpersonal interaction. In a separate analysis, Kyla Scanlon introduces the concept of "friction" as a lens into the AI landscape. She states that while the digital world seeks to eliminate friction for the user, it often transfers that friction to the physical world (underfunded infrastructure, overworked labor). This redistribution of friction potentially devalues traditional skills and credentials. I've been digging into a concept I refer to as skills flux -- a period in which workers will use their existing skills while needing to learn new ones as their jobs change due to automation and AI. Both the Indeed research and Kyla's paper illustrate this transitional period as an opportunity to redefine the basic tenets behind "reskilling" or "upskilling" (I would love to retire those two words from our lexicon). Our focus in L&D needs to be on deeply understanding how automation and AI changes the nuances of jobs (yes, to the task level) and to then develop training that facilitates the workforce to learn new GenAI-specific skills as complementary to their existing skills. L&D's role is to drive a programmatic approach to rapidly develop the workforce while balancing the tension of this period of skills flux. If we do this right, we relieve the company from large workforce displacement and enable the metrics important to the business as the integration of automation and AI evolves -- it's expensive and time-consuming to continually buy skills. This means we change our focus from traditional "reskilling" and "upskilling" programs to enable more dynamic skills strategies. I recommend these two steps to get started: -- Identify the enterprise critical roles across the company -- Conduct a job architecture inventory in alignment with the business to excavate how automation and AI changes the jobs (and, yes, AI can be used to scale this process) This enables a strategy for L&D to be in service of the most critical aspects of business continuity. For the first time in L&D's history, we face the daunting task of simultaneously preparing the workforce to execute strategies resulting from automation and AI while preventing the instability that a skills flux brings to the business and the workforce. Here are links to these two reports: -- Indeed Hiring Lab: https://lnkd.in/grF2C2-E -- Kyla Scanlon: https://lnkd.in/gAkcj4Qi

Reflecting on today's The Times Of India article by Trisha Tewari about the ongoing mass layoffs in the tech industry, including giants like #Apple, #Dell, and #IBM, the discourse around upskilling and reskilling has become more urgent than ever. https://lnkd.in/gUpd6XNX These layoffs aren't mere statistics; they're a clarion call echoing through the corridors of every organization, predicting an era of unmatched technological transformation for cultivating agile, future-ready, and adaptable talent pools. We comprehend the rationale behind upskilling, but when it comes to the execution, all well-meaning efforts have been falling short. So instead of broad generalized training programs that fail to create real impact, Talent Leaders want to equip their organizations with solutions that help personalise learning trajectories at scale while anticipating and delivering to the nuanced needs of each employee. Here’s where I believe domain-intelligent AI and evolving skill graphs can revolutionize the game. Envision a system that continuously understands and keeps current your employees' unique skill profile and automatically maps them against current and emerging industry needs. Game-changing, isn’t it? By integrating these domain-specific AI-driven skill insights into the existing talent management systems, we can finally transcend standard solutions into delivering to new age solution requirements. We can offer bespoke, tailored development opportunities that meet the exact needs of both the business and its people. So, in summary, upskilling transcends merely offering more courses—it’s about offering the right courses to the right people, at the right time. The potential is vast, but we need to equip ourselves with the right tools. Organizations must embrace domain-intelligent AI and #skillintelligence to transition from reactive to proactive workforce development. It’s time to take actionable steps towards a future where reskilling and upskilling are not a response to redundancies but a foundation for resilience. #FutureOfWork #AIforTalent #domainintelligentAI #Upskilling #Reskilling #TalentDevelopment #WorkforceTransformation #EmployeeDevelopment #LeadershipInnovation #SkillDevelopment #skillgaps #skillintelligence #HRTech #HRMS #CHRO #CEO #WorkforceStrategy #SpireAI

Is Your Organization Stuck in Static Skilling? It’s Time to Go Dynamic. The world of work is evolving rapidly. AI, digital transformation, and industry convergence are reshaping job roles and business models. Yet, many companies still rely on static skilling—a rigid, one-size-fits-all approach to workforce development. Static skilling is reactive. It focuses on training employees for predefined roles, often through traditional learning programs that quickly become outdated as skills needs shift. This approach leaves organizations vulnerable to talent shortages and business disruption. Enter dynamic skilling—a proactive, continuously evolving strategy that aligns workforce capabilities with ever-changing business needs. Instead of relying solely on formal training, dynamic skilling integrates microlearning, talent marketplaces, AI-powered skills matching, coaching, and career pathways to ensure employees are always developing the right skills at the right time. Our latest report, Dynamic Skilling: Anticipating and Mitigating Current and Future Skills Gaps, unveils how high-performing companies are making this shift. ✅ Dynamic organizations anticipate change – They develop talent mobility programs and reskilling strategies to proactively close skills gaps. ✅ Business-driven skilling is a game-changer – Skilling isn’t just an HR initiative; it’s a core business strategy focused on growth, innovation, and agility. ✅ AI is accelerating the need for dynamic skilling – 92% of CEOs are investing in AI for growth, yet only 23% believe their workforce can keep up. Dynamic skilling ensures they can. ✅ The impact is measurable – Companies that embrace dynamic skilling are 3x more likely to exceed financial targets and 7x more likely to innovate effectively. Leading organizations like JPMorgan Chase, Sunrun, and UCHealth are proving that dynamic skilling isn’t a luxury—it’s a necessity. If you’re still relying on static skilling, it’s time to rethink your approach with a dynamic skilling ecosystem. Are you ready to go dynamic? 🚀 #Skilling #TalentDevelopment #FutureOfWork #AITransformation #HR Josh Bersin Jordan Hammerstad Terry VanQuickenborne Bill Pelster

𝗨𝘀𝗶𝗻𝗴 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗼 𝗗𝗿𝗶𝘃𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 🚀 Are you noticing a gap in your team’s digital skills as your organization ramps up its digital transformation efforts? Let’s be real: the digital landscape is evolving at breakneck speed, and without the right skills, your employees might struggle to keep up. This gap isn’t just a small glitch—it’s a potential roadblock that could prevent your company from leveraging new technologies and staying competitive. If you ignore this issue, your company risks falling behind competitors who are quick to adapt. You'll miss out on the efficiency, innovation, and growth that come with being a digital-first organization. But here’s the game plan: integrate comprehensive digital literacy and transformation training into your Learning & Development (L&D) strategy. Here’s how to make it happen: 📌 Identify Key Digital Skills: Start by mapping out the essential digital skills your team needs. Think data analysis, cybersecurity, digital marketing, and emerging technologies like AI and IoT. This isn’t just about tech-savviness; it’s about future-proofing your workforce. 📌 Custom Training Programs: Develop tailored training programs that address these specific skills. Use a mix of e-learning, workshops, and hands-on projects to cater to different learning styles and ensure practical application. 📌 Leverage Internal Expertise: Tap into the knowledge within your organization. Encourage experts to share their insights through internal webinars, mentoring programs, and collaborative projects. This not only builds skills but also fosters a culture of continuous learning. 📌 Use Cutting-Edge Tools: Employ the latest L&D technologies to deliver your training. Interactive video paths, VR simulations, and AI-driven personalized learning paths can make the training more engaging and effective. 📌 Measure and Iterate: Implement metrics to evaluate the effectiveness of your training programs. Use feedback, performance analytics, and skill assessments to continuously refine and improve your L&D strategy. By embedding digital literacy and transformation training into your L&D strategy, you're not just enhancing your employees’ skills; you're positioning your organization to thrive in the digital age. (Note: The picture is from a Microsoft training event in Toronto from 2005!) Ready to lead the charge in digital transformation? Share your thoughts and strategies in the comments below! ⬇️ #DigitalTransformation #LearningAndDevelopment #FutureOfWork #DigitalSkills #Innovation #Training #EdTech #CorporateTraining

Adapt or die. I know … I sound dramatic. 💡But so did the people who said Blockbuster should have taken Netflix seriously. The truth is, AI is coming for your employees' tasks. 💡What’s left are the skills only humans can master: creativity, empathy, judgment, and the ability to learn faster than the competition. ‼️Yet too many companies are still training employees to be experts in tools that AI will replace by next Tuesday. That’s just preparing people for irrelevance. If you’re serious about future-proofing your workforce, here’s where to focus: 1️⃣Curiosity beats compliance – Encourage questions that AI can’t answer with a spreadsheet. 2️⃣Cross-trainers win – Stop building siloed experts. Build professionals who see the bigger game. 3️⃣EQ > IQ (sometimes) – A bot can analyze data, but it can’t read the hesitation in a client’s voice. 4️⃣Strategic AI use – Teach employees to prompt well, interpret better, and connect outputs to business value. 5️⃣Continuous learners only – Yesterday’s skills are expiring faster than milk. Here’s the kicker: this isn’t a “someday” issue. AI is already changing how work gets done. ⚠️Leaders who fail to re-skill their teams will lose talent and their teams will lose relevance. So the question isn’t “Should I invest in upskilling?” It’s: “How much longer can I afford not to?” 👉Are you focused on up-skilling? ♻️Re-post if you want to remind other leaders to upskill. Follow me Sarah Bloom, Ph.D. for more helpful content on employee learning.