Workforce Development in a Tech-Driven Environment

Have you seen the newly released U.S. Department of Labor AI framework for workforce development? In my latest article, I took a moment to break the new policy down into bite-sized points and included source links to save you some time. It's easy to overlook federal AI guidance, especially when the pace of AI innovation surpasses the pace of general AI understanding. But if you care about workforce modernization, artificial intelligence policy, or long-term business growth, this one deserves your attention. Last week, the U.S. Department of Labor issued Training and Employment Guidance Notice 07-25 outlining how AI should be integrated into federally funded workforce systems. This is not a theoretical conversation anymore. The World Economic Forum reports that 44 percent of core job skills are expected to change within five years. McKinsey & Company’s 2025 State of AI survey shows that 65 percent of organizations are already using generative AI in at least one function. When employer operations shift, workforce systems must follow. Here is what this federal AI framework signals for leaders: 🔹 Workforce modernization is moving from digitization to intelligence. Labor market analysis, job matching, and service delivery are expected to integrate AI with oversight. 🔹 Governance is not optional. Transparency, documentation, and compliance are embedded in the guidance. 🔹 Public and private sectors are converging. Agencies will look for partners who understand both AI capability and regulatory expectations. If you operate in education, workforce development, HR tech, national economic strategy, or business growth and modernization, this affects you. The most strategic leaders I know do not wait for headlines to force adjustment. They study policy signals early and position accordingly. How is your organization preparing for AI integration inside public workforce systems? If this perspective is useful, let's connect ~Dr. Kiesha King and subscribe to my newsletter for more on education strategy, AI workforce modernization, leadership and sustainable business growth. Disclaimer: All views are my own and do not represent the views of my employer or any affiliated organization.

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

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

Five years after COVID reshaped industries, I analyzed 13 Pathfinder companies to uncover their workforce development paths since 2020. 🚀 The key takeaway? All 13 companies strategically invest in employees as a core driver of growth, competitive advantage, and operational resilience. 🔍 Biggest insight? These companies have fully embraced Knowledge Management and Industrial AI as imperatives for: ✔️Profitability 💰 ✔️Safety & workforce resilience 🦺 ✔️Sustainability & operational efficiency 🌍 Here’s how these companies are leading the Future of Industrial Work ⬇️ 🤝 Servant Leadership & Employee Engagement 🔹Honda: A commitment to inclusive environments and a Human-Centered Transformation Framework embeds AI-driven digital work instructions, AR-enabled training, and servant leadership principles to accelerate onboarding. 🔹Siemens: Is reskilling employees for hybrid work environments with automated process flows, AI-based learning, and digital twins to prepare workers for robotics & automation. 🔹Procter & Gamble's "Constructive Disruption" & GE: Promote inclusive leadership & sustainability-driven engagement while deploying real-time AI-powered knowledge management systems across global supply chains. 📈 AI-Driven Knowledge Management & Virtual Operations Centers 🔹Unilever: Built AI-powered knowledge-sharing frameworks & digital sustainability learning programs to upskill workers. 🔹Toyota Motor Corporation: Adopts AI-driven insights to support workforce planning & real-time operational decisions. 🔹Johnson & Johnson & Medtronic: Drive real-time health & safety improvements with AI-driven safety analytics & Virtual Operations Centers that monitor frontline workers. 🔹Dow & Schneider Electric's "Next Gen Academy": Prioritizes digital literacy and AI-driven process automation, embedding employee-driven innovation for sustainable transformation.   📶 Connected Frontline Workforce (CFW) Applications 🔹Tesla: Empowers frontline employees with AI-driven real-time insights through Virtual Operations Centers & predictive maintenance tools to reduce environmental impact. 🔹Owens Corning: Uses CFW applications & real-time data analytics for energy efficiency, material science advancements, & digital workforce training. 🔹Mondelēz International: Leverages AI-assisted ergonomic assessments to prevent workplace injuries and extends AI to optimize worker schedules across global factories.   🔎 What’s next?  📌 LNS Research data confirms that companies embedding AI into workforce development will achieve greater resilience, adaptability, and profitability.  📌 The future is clear: Leadership, Virtual Operations Centers, and Connected Workforce Strategies are critical for future-proofing industrial operations.   ⏩ Want to dive deeper? Download my latest eBook: Knowledge Management and the Industrial AI Imperative 📖✨   #FutureOfWork #AI #WorkforceDevelopment #IndustrialAI #CFW #Leadership #KnowledgeManagement #Sustainability #ManufacturingTransformation

As someone who has spent decades at the intersection of technology and workforce development, I've witnessed many transformations. But none compare to the fundamental shift we're seeing today. Our new research reveals a compelling paradox: while young adult unemployment has reached 6.6%, AI is simultaneously making many technical roles more accessible to those just starting their careers. 50-55% of early-career workloads are now AI-augmented, enabling entry-level professionals to contribute to complex projects from day one. Last week at AWS Summit New York, we announced an exciting initiative through AWS Academy that will reach 2.7M college students and early-career professionals globally. We're providing AWS Academy students with free AWS Skill Builder subscriptions and certification vouchers to help them build the AI and cloud skills needed for today's high-growth roles. I believe AI presents an unprecedented opportunity to democratize access to technical careers and accelerate innovation. For those willing to embrace this transformation, the possibilities are limitless. Read the blog to learn about the five fastest-growing roles being transformed by AI and how we're helping build the next generation of cloud builders. https://lnkd.in/eBuiM6FS #AWS #FutureOfWork #AISkills #CloudCareers #WorkforceDevelopment

𝘛𝘩𝘦 𝘴𝘬𝘪𝘭𝘭𝘴 𝘨𝘢𝘱 𝘪𝘴 𝘢 𝘱𝘦𝘳𝘴𝘪𝘴𝘵𝘦𝘯𝘵 𝘢𝘯𝘥 𝘨𝘳𝘰𝘸𝘪𝘯𝘨 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦. While demand for talent remains high, the hiring rate has fallen sharply, and a shocking number of job openings remain unfilled even as the number of unemployed people is steadily rising. One major reason for these developments is a growing disconnect between the skills employers need and those job seekers have. To meet this challenge, we need to rethink how we approach talent development. Reskilling and upskilling are a necessity. Businesses can’t wait for the perfect candidate with the perfect skill set to show up—they need to invest in developing the skills of the workers they already have. How? There’s mentorship, training programs, and leveraging technology like AI. All these can ensure workers are equipped with the skills we need today and in the future. But it’s not just about developing one’s in-house talent. Employers must also be open to diversifying their approach to attracting external talent, including identifying and engaging with untapped talent pools—people who might not have followed traditional career paths but have the skills to thrive in the right environment. In an era characterized by rapid technological change, employers must take a proactive, forward-looking approach to investing in talent, offering the right opportunities for growth, and developing skills that align with tomorrow’s needs. Only through these efforts can we close the skills gap and build a future-ready workforce.

This month in our Informed Decisions newsletter, I wrote about the paradox Australia faces that should concern every leader across business and government: we're capable of achieving unprecedented productivity gains through AI while simultaneously undermining our capacity to develop the next generation of leaders and innovators. Australia imports more than we create—particularly in technology, innovation, and ideas. While our education sector remains a strong export, we're essentially training talent that creates value elsewhere rather than building domestic capability. This "brain drain plus" model leaves us increasingly dependent on others' innovations. The Disappearing Learning Curve is real. Generative AI is eliminating the entry-level tasks that have traditionally built workforce capability. At .id, we've moved beyond using AI as a personal assistant to deploying it for rapid prototyping, code refactoring, and complex land use analysis. The productivity gains are substantial—but they work because our experienced teams have built the foundational skills. Here's the critical question: What happens if the next generation never develops those foundations? The stakes extend beyond individual career development. If Australia wants to transition from net consumer to net creator, we must invest in young people not just as workers, but as future producers, founders and leaders. This requires deliberate action from today's leaders and investors. Forward-thinking organizations are already addressing this challenge by: Creating "learning laboratories" where junior employees tackle real problems alongside AI tools Establishing mentorship programs that transfer tacit knowledge before it becomes obsolete Redesigning career progression to emphasize problem-solving over task completion The companies that crack this code won't just develop better talent—they'll build competitive advantage in an AI-driven economy. It's your move. The choices you make today will determine whether your industry remains dependent on imported innovation or becomes a source of it. How are you and your organization balancing AI-driven productivity with capability development?

Rethinking Workforce Growth in the Age of AI AI “synthetic workers” are no longer a future concept. They are becoming a practical solution to real workforce challenges. In Jersey, leaders are now exploring how AI could expand the island’s workforce without increasing population, and the implications go far beyond one region. Here’s the context: Many economies are facing the same pressure: aging populations, limited housing, skills shortages, and rising labor costs. At the same time, demand for services keeps growing. Traditional hiring alone cannot solve this gap, and that is where AI-powered digital workers enter the picture. These systems are designed to handle routine, repeatable, and data-heavy tasks across finance, customer support, compliance, operations, and administration. They do not replace human judgment. They remove friction. What’s driving this shift: ✅ Businesses need to scale without expanding physical infrastructure ✅ Talent shortages are slowing growth in key sectors ✅ Remote and hybrid work models demand better digital support ✅ Productivity gains now matter more than headcount growth Instead of hiring for every new workload, organizations are using AI to absorb volume, standardize processes, and free teams to focus on higher-value work. The real opportunity is not cost-cutting. It is capacity. When digital workers handle the routine, human workers gain time for strategy, creativity, relationship building, and problem solving. That is how small regions, lean teams, and resource-constrained economies can compete at a global level. The question is no longer whether AI will reshape the workforce; it is how intentionally leaders choose to deploy it. Are synthetic workers part of your long-term workforce strategy? Let’s discuss. #ArtificialIntelligence #FutureOfWork #WorkforceInnovation #DigitalTransformation #AIinBusiness

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

The pace of change in today’s job market is unprecedented. AI, automation, and evolving business models are transforming the way we work, as well as the skills we need to thrive. The question isn’t whether your workforce will need to adapt but when. A recent Harvard Business Review, ‘Management Tip of the Day’ suggests four key steps to future-proof your workforce: 🔹 Use scenario-driven planning to map different paths your business could take, then develop leaders who could succeed in each. 🔹 Tie development experiences directly to succession goals. Identify gaps, offer stretch roles, and pair rising talent with mentors and coaching that target upcoming transitions. 🔹 Make succession planning a business priority. Treat it like any critical strategy, with clear accountability, timelines, and measurable outcomes. 🔹 Expect leaders to develop future leaders. Building talent for tomorrow should be part of every leader’s mandate At Capgemini, we’re committed to developing the next generation of leaders at every level. Through initiatives like our Leadership, Gen AI and Industry campuses, mentoring programs, and peer-to-peer learning opportunities, we aim to future-proof our workforce, close leadership gaps, and drive lasting growth and agility.   What steps are you taking to future-proof your team or workforce?