Louder for the people at the back 🎤 Many organisations today seem to have shifted from being institutions that develop great talent to those that primarily seek ready-made talent. This trend overlooks the immense value of individuals who, despite lacking experience, possess a great attitude, commitment, and a team-oriented mindset. These qualities often outweigh the drawbacks of hiring experienced individuals with a fixed and toxic mindset. The best organisations attract talent with their best years ahead of them, focusing on potential rather than past achievements. Let’s be clear this is more about mindset and willingness to learn and unlearn as apposed to age. To realise the incredible potential return, organisations must commit to creating an environment where continuous development is possible. This requires a multi-faceted approach: 1. Robust Training Programmes: Employers should invest in comprehensive training programmes that equip employees with the necessary skills for their roles. This includes on-the-job training, mentorship programmes, online courses, and workshops. 2. Redefining Hiring Criteria: Organisations should revise their hiring criteria to focus more on candidates’ potential and willingness to learn rather than solely on prior experience or formal qualifications. Behavioural interviews, aptitude tests, and probationary periods can help assess a candidate's ability to learn and adapt. 3. Partnerships with Educational Institutions: Companies can collaborate with educational institutions to design curricula that align with industry needs. Apprenticeship programmes, internships, and cooperative education can bridge the gap between academic learning and practical job skills. 4. Lifelong Learning Culture: Encouraging a culture of lifelong learning within organisations is crucial. Employers should provide ongoing education opportunities and support for professional development. This includes continuous skills assessment and access to resources for upskilling and reskilling. 5. Inclusive Recruitment Practices: Employers should implement inclusive recruitment practices that remove biases and barriers. Blind recruitment, diversity quotas, and targeted outreach programmes can help ensure that diverse candidates are given a fair chance. By implementing these measures, organisations can develop a workforce that is adaptable, innovative, and resilient, ensuring sustainable success and growth.
Workforce Development Strategies for Industry
Explore top LinkedIn content from expert professionals.
Summary
Workforce development strategies for industry are approaches that help companies prepare employees with the skills, knowledge, and readiness needed to meet changing demands and technological advancements. These strategies bridge skill gaps, boost talent pipelines, and build teams that can adapt to new roles and innovations.
- Build partnerships: Work with schools, training organizations, and community groups to create pathways that connect learners to in-demand industry roles.
- Expand upskilling: Invest in training programs, apprenticeships, and digital learning to help both new hires and current staff gain practical and advanced skills.
- Prioritize skill mapping: Regularly assess your team's abilities to identify gaps and create development plans that match employees to job opportunities and future needs.
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𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐓𝐚𝐥𝐞𝐧𝐭 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐈𝐨𝐓 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 As the manufacturing industry increasingly embraces the Internet of Things (IoT), the demand for skilled professionals capable of integrating and managing IoT solutions has surged. From my experience as a recruiter specializing in cutting-edge technology roles, I’ve recognized the critical need for creating a sustainable talent pipeline to support this transformative shift. IoT technology is revolutionizing manufacturing, enabling enhanced data-driven decision-making, increased operational efficiency, and the development of new business models. Strategies for Developing a Sustainable Talent Pipeline: ➡️ Partnerships with Educational Institutions: Collaborating with universities and technical schools to develop curricula that include IoT technologies, applied data analytics, and cybersecurity can prepare students with the skills needed for modern manufacturing roles. ➡️ Apprenticeships and Internships: Offering hands-on learning opportunities for students and recent graduates can help bridge the gap between theoretical knowledge and practical application, while also allowing companies to train potential employees in specific skill sets. ➡️ Professional Development and Continuous Learning: Investing in continuous education and certification programs for current employees not only helps keep skills up-to-date but also aids in retaining top talent by showing a commitment to their professional growth. ➡️ Cross-Functional Training: Encouraging existing employees to develop skills in IoT applications through cross-training can help diversify the skills within the workforce, promoting a more adaptable and versatile team. ➡️ Recruitment Campaigns Targeting IoT Skills: Tailoring recruitment efforts to highlight the exciting opportunities in IoT within the manufacturing sector can attract professionals from different technological backgrounds who may not have previously considered manufacturing as a career path. ➡️ Leveraging Online Platforms for Global Reach: Utilizing online learning and recruitment platforms can extend the reach of talent acquisition efforts globally, bringing in fresh perspectives and diverse skills that are crucial for innovation. The integration of IoT within manufacturing is not just a passing trend; it's a pivotal part of the industry’s future. By establishing a robust pipeline of skilled professionals, companies can ensure they remain competitive in an increasingly technology-driven market. If you’re a professional specializing in IoT, or a manufacturing firm looking to develop your workforce capabilities, let’s connect. Together, we can explore how to effectively build and utilize a talent pipeline that not only meets the current demands but also anticipates future technological advancements.
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Most companies wait until they have an urgent problem before addressing workforce capability. But the ones building competitive advantage are investing in readiness before the gap becomes a crisis. Here are four areas where organizations need to focus: 𝟭. 𝗥𝗲𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗳𝗼𝗿 𝗿𝗼𝗹𝗲𝘀 𝘁𝗵𝗮𝘁 𝗱𝗶𝗱𝗻'𝘁 𝗲𝘅𝗶𝘀𝘁 𝗳𝗶𝘃𝗲 𝘆𝗲𝗮𝗿𝘀 𝗮𝗴𝗼 Automation specialists, data scientists, and AI integration roles require new training pathways. Companies that build apprenticeship programs and internal development tracks get ahead of skills bottlenecks before they slow growth. 𝟮. 𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀 𝘁𝗼 𝘄𝗼𝗿𝗸 𝗮𝗹𝗼𝗻𝗴𝘀𝗶𝗱𝗲 𝗔𝗜 It's not enough to deploy AI tools. Teams need to understand how to integrate AI into their workflows, manage AI-driven processes, and improve performance through human-AI collaboration. 𝟯. 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝘀𝗸𝗶𝗹𝗹 𝗴𝗮𝗽𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲𝘆 𝗮𝗳𝗳𝗲𝗰𝘁 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 Skills assessments show what people can actually do, not just what their job titles suggest. Companies that map capabilities across their workforce can redeploy talent strategically and keep people engaged in roles where they can grow. 𝟰. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗽𝗮𝘁𝗵𝘄𝗮𝘆𝘀 𝗶𝗻𝘁𝗼 𝗿𝗼𝗹𝗲𝘀 𝘄𝗵𝗲𝗿𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝗰𝗮𝗻 𝘀𝘂𝗰𝗰𝗲𝗲𝗱 Whether it's technical training, role-specific development, or management skills, companies need structured programs that prepare people for the work that's coming, not just the work that exists today. The retirement wave is gathering speed. Skills-based hiring is becoming the norm. Growth isn't waiting. What's your approach to workforce readiness right now?
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America’s talent shortage is one of our most urgent national security challenges. A new report from JPMorganChase’s PolicyCenter points to a sobering reality: the U.S. simply does not have enough skilled workers to build, compete, or protect its economic and strategic interests. Critical sectors are feeling the strain. 75% employers report difficulty finding qualified talent, 40% of adults lack basic digital skills, and manufacturing alone may need 3.8 million workers by 2033 with nearly half of those jobs projected to go unfilled. Technology roles are expected to grow at twice the rate of the rest of the labor market, and energy apprenticeships must expand significantly to meet future demand. JPMorganChase’s Security and Resiliency Initiative is investing $1.5 trillion dollars to strengthen strategic industries. But the report is clear: capital cannot deliver results without a strong talent pipeline. Workforce must be treated as core infrastructure. The report highlights several polices to strengthen the talent pipelne: ✅ Scale high quality apprenticeships to expand pathways into advanced manufacturing, energy, AI, and cybersecurity. ✅ Increase employer based training through reforms to WIOA that allow more investment in upskilling and on the job training. ✅ Strengthen industry and sector partnerships that align employers, education providers, and community organizations around shared workforce needs. ✅ Expand public private partnerships so education and training programs stay closely connected to in demand careers. ✅ Accelerate digital skill development by updating federal definitions of basic skills and expanding access to digital literacy programs. ✅ Implement Workforce Pell effectively by aligning federal regulations with state workforce systems, supporting classroom instruction connected to apprenticeships, and ensuring states use data to approve only high quality short term training programs aligned to critical industries. Last week's release of the National Security Strategy and the Administration’s AI Action Plan both make clear that America’s strategic advantage will hinge on our ability to innovate, deploy, and secure critical technologies like AI and quantum computing. But none of these ambitions can be realized without a workforce equipped with the skills to build, operate, and secure these technologies. Closing the talent gap isn’t just an economic imperative; it is foundational to sustaining our technological edge, economic resilience, and national security https://lnkd.in/gsa45XxV
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Around 100 million manufacturing employees worldwide are currently retirement-eligible. That’s 25% of the current workforce. In some countries, the number of employees 55+ years old is around 65%. Are we ready for that many people to walk out the door? Taking years of experience with them? With the 30+ year veteran a thing of the past, manufacturers must make the most use of the employees they have while they have them. Digital transformation is critical for manufacturers to keep up with today’s fast-paced world of change, but it will not be enough to evolve the people and processes for tomorrow. LNS Research has seen industry leaders move towards a Future of Industrial Work #FOIW ecosystem of solutions that can support employee upskilling, knowledge management, and digital transformation. I’ve talked with many end users about vendor solutions that have become a part of the tech stack. Here’s a very high-level view of how I see three solutions: 🔹 Squint: AI/AR and computer vision-enabled execution support helps ensure employee safety with lock-out/tag-out (LOTO) procedures, standardize changeover/equipment setup to reduce rework, and support supervisors in conducting floor audits for a safer working environment. Customers include Michelin, PepsiCo, and Continental. 🔹 DeepHow: AI-powered employee-led upskilling to onboard employees faster with structured, immersive learning in the flow of work learning, provide troubleshooting support through interactive instructions, and guide workers in developing advanced skills while contributing to knowledge assets. Customers include ArcelorMittal, AB InBev, and USG. 🔹 Indeavor: AI-optimized workforce planning that connects operations, HCM, and ERP solutions for improved voice of the employee with time off transparency, automated skills-based assignments, and real-time backfilling support through built-in compliance. Customers include The Hershey Company, PepsiCo, and Mondelēz International. These high-level points aren't inclusive, and there are many other solutions focused on workforce upskilling, supporting frontline leaders, and enhancing the total employee experience. 🤔 I’d love to know what you are seeing as “The Great Goodbye” continues to unfold. There is a critical and urgent need for succession planning and knowledge management strategies. Add to that the dramatic shift in workforce dynamics, driving the adoption of FOIW initiatives. Engaging and empowering employee-led transformation within manufacturing operations is critical. #TheGreatGoodbye #FutureOfWork #EmployeeExperience
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Addressing the Talent Shortage in Our Industry - A Call to Action. As we approach the end of 2024, a pressing issue continues to challenge our industry: the significant shortage of skilled professionals. Recent reports indicate that nearly 60% of companies are struggling to fill key positions, which has far-reaching implications for growth and innovation. This talent gap is driven by a combination of factors, including an aging workforce, rapid technological advancements, and shifting career priorities among younger generations. With the rise of automation and artificial intelligence, the demand for tech-savvy professionals has never been higher, yet many organizations find it difficult to attract and retain the right talent. To combat this issue, we must adopt a multifaceted approach: 1. Invest in Training and Development: Organizations should prioritize upskilling their current workforce. Offering continuous education and training programs can help employees grow into the roles that are currently in demand. 2. Promote Diversity and Inclusion: Broadening our hiring practices to include diverse candidates can open up new talent pools. Emphasizing inclusive workplace cultures will not only attract a wider range of applicants but also enhance innovation through varied perspectives. 3. Engage with Educational Institutions: Building partnerships with universities and technical schools can help bridge the skills gap. By collaborating on curriculum development and offering internships, companies can better prepare students for the realities of the workforce. 4. Foster a Positive Work Environment: A supportive and flexible work culture can significantly improve employee retention. Companies that prioritize work-life balance and mental well-being are more likely to keep their talent engaged and satisfied. As industry leaders, it’s our responsibility to take proactive steps to address this talent shortage. By investing in our workforce and fostering an inclusive environment, we can ensure sustainable growth and innovation for years to come. How is your organization tackling the talent shortage? I’d love to hear your thoughts and strategies! #TalentShortage #WorkforceDevelopment #DiversityInclusion #EmployeeRetention #FutureOfWork
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In the life sciences industry, automation, AI, and digital transformation are revolutionizing operations - but talent shortages and skill gaps remain a challenge. Strategic workforce planning is no longer optional; it’s a competitive advantage. Here are five key insights from McKinsey & Company’s latest research that every biotech, pharma, and CDMO leader should consider: ✅ Talent is as Valuable as Capital: Companies investing in workforce planning see 300% more revenue per employee. Example: Lonza and Roche prioritize talent planning alongside financial forecasting to avoid capacity shortages. ✅ Balance Capacity & Capabilities: Hiring more people isn’t enough—skills must match business goals. Example: BioNTech SE rapidly upskilling talent during the COVID-19 vaccine rollout, ensuring expertise in mRNA production. ✅ Scenario Planning is Essential: AI-driven automation could replace 30% of worked hours by 2030. Example: Novartis uses workforce simulations to predict AI’s impact on R&D, manufacturing, and commercial operations. ✅ Reskilling Beats Panic Hiring: Future-proofing talent pipelines is more sustainable than reactive recruitment. Example: GSK established in-house AI training programs to upskill employees in data-driven decision-making. ✅ Embed SWP in Strategy: Workforce planning must be continuous, not reactive. Example: AstraZeneca integrates workforce analytics into business strategy to anticipate emerging talent needs across global operations. 💡 The key takeaway? The companies that win the AI revolution will be those that proactively invest in talent strategies today. What are you doing to future-proof your workforce? #AI #WorkforcePlanning #LifeSciences #Biotech #Automation #FutureofWork
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Expanding the U.S. workforce in emerging technology is a pressing challenge. How can we build new talent pipelines for critical industries like biotechnology and AI? CSET’s recent report, "Biotech Manufacturing Apprenticeships: A Case Study in Workforce Innovation," by Luke Koslosky, Steph Batalis, and Veronica Jade Kinoshita, explores a promising solution. By examining the North Carolina Life Sciences Apprenticeship Consortium (NCLSAC), the report offers a practical guide for organizations looking to develop their own programs. A few policy takeaways from the report that caught my eye included: 1️⃣ Provide sustainable funding for the infrastructure that apprenticeship programs rely on, such as regional workforce hubs, technical education programs, and pre-apprenticeship training. 2️⃣ Support regular, regional labor market studies and ensure timely access to data on skills gaps and hiring needs to help target training efforts effectively. 3️⃣ Increase federal and state funding for the startup and long-term costs of apprenticeship programs, including support services for apprentices like stipends and child care — flexible funding is helpful! 4️⃣ Support recruitment initiatives that build awareness and reduce barriers to entry, especially for engaging new and historically underserved communities in the industry. 5️⃣ Create or strengthen regional groups that bring together employers, education providers, and government partners to align their efforts and goals. For organizations in any emerging tech field considering this model, our new report provides guiding questions to start the process: ❓What are your current workforce gaps in terms of roles and numbers, and what specific skills are most in demand? ❓What type of apprenticeship model—employer-sponsored, an intermediary partnership, or a consortium—best suits your organization's needs and resources? Learn more and see how this model could apply to your industry: ➡️ Read the full report: https://lnkd.in/ekcTD7GY ➡️ For industry & workforce developers, see our guiding questions: https://lnkd.in/e3rAhtQV ➡️ For policymakers, check out the "Policy Takeaways": https://lnkd.in/eiNx2qfD
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🎼AI & the Future of Work: Lessons from the “Canaries” Report 🎶 🎱 Stanford’s new study, “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” (Brynjolfsson, Chandar & Chen, 2025), - link below - offers one of the clearest empirical signals yet: generative AI is already reshaping early-career opportunities. 📉 Entry-level roles in high-exposure fields (software developers, customer service reps) have seen sharp declines—early-career workers aged 22–25 lost about 13% of jobs since late 2022. 📈 By contrast, employment in less AI-exposed sectors (like nursing aides and caregiving) has remained stable or grown. 🔀 The key distinction: jobs where AI automates human tasks are shrinking, while those where AI augments human work are showing resilience—even growth. From an immersive learning perspective, this moment is pivotal. If AI is changing the entry-level landscape, we need to rethink how learners are prepared: • Design training that emphasizes augmentation over replacement—teaching people how to collaborate with AI rather than compete against it. • Build adaptive pathways into emerging fields that combine technical skills with human-centered strengths (creativity, communication, empathy). • Leverage immersive learning environments to simulate real-world scenarios where workers practice applying AI tools responsibly and strategically. This isn’t just a challenge for workforce development—it’s an opportunity to redesign the bridge between education and employment. Immersive technologies, paired with thoughtful AI integration, can help ensure that our youngest professionals aren’t the “canaries,” but rather the pioneers of a new collaborative era of work. 👉 What strategies do you see for making AI an augmenting partner in workforce preparation rather than a replacement threat? 👉 How do we build a strong Immersive Learning Development workforce to lean into the strong AI interplay? Read: “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” (Brynjolfsson, Chandar & Chen, 2025) https://lnkd.in/gq7wNaGE
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After years of working across education, workforce development, and industry partnerships, one truth has become clear: We are not lacking talent. We are lacking alignment. Students are navigating career decisions without real-time labor market visibility. Employers are struggling to find skilled talent despite open roles. Educators are building programs without dynamic feedback loops from industry. Workforce data is often backward-looking when it needs to be predictive. Every stakeholder is working hard, but too often, in isolation. That fragmentation is expensive. It costs individuals time. It costs employers productivity. It costs communities economic momentum. At CareerPathway.com, our strategy has been simple but bold: Put industry at the center of the ecosystem and let real demand drive alignment. We built CareerPathway.com as an industry-led workforce infrastructure where: Employers define skills, showcase real opportunities, and signal demand. Educators align curriculum with live workforce insights. Workforce boards and community partners guide individuals using actionable data. Students and professionals gain visibility into clear, achievable pathways. But strategy without insight is incomplete. That’s why our Analytics & Insights framework is core to the ecosystem, not an add-on. We track: - Engagement across the ecosystem - Where regional demand is concentrated - What talent is actively searching for - Which pathways convert interest into action - How organizations are being discovered - How learners move from exploration to employment - Predictive trends that inform long-term planning This shifts the conversation from anecdotal to measurable. From reactive to proactive. From siloed efforts to shared intelligence. When industry leads with transparency and data informs decision-making, alignment becomes possible. Education becomes relevant. Workforce development becomes strategic. Talent pipelines become intentional. Communities become competitive. As CSO, my focus is not just platform growth. It’s ecosystem integration. Because the future of workforce development isn’t about building another tool. It’s about building connective infrastructure that aligns education, industry, and opportunity in real time. And we are only at the beginning of what’s possible. CareerPathway.com #WorkforceStrategy #FutureOfWork #IndustryLed #EconomicMobility #CareerPathways #WorkforceInnovation #FindYourPath
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