training

Workforce in Motion: Skills and Pathways to Future Jobs in the United States

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AI and automation are accelerating a major workforce transformation in the US, with an estimated 11 million workers needing to transition from declining to growing occupations over the next decade. While the economy could create more jobs overall, many rising roles demand higher and different skills, with only about one in seven workers having a direct pathway that requires little retraining; most will need to develop essential, enabling, and empowering skills to adapt continuously. Barriers such as credential requirements and skill gaps complicate these transitions, making skill development and removing obstacles critical to capturing AI’s economic benefits and ensuring broad labor market mobility.

https://www.mckinsey.com/mgi/our-research/Workforce-in-motion-Skills-and-pathways-to-future-jobs-in-the-United-States

How to Build a Learning Culture at Work

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Building a learning culture requires leaders to tie employee development directly to current business needs, deciding deliberately whether to develop skills internally or hire expertise, and holding managers accountable for cultivating team capabilities while balancing performance demands. Effective learning cultures prioritize applying knowledge on the job, making learning resources accessible, measuring capability improvements rather than training participation, and leveraging existing organizational expertise to sustain growth. Crucially, senior leaders must model continuous learning themselves and connect skill development to strategic outcomes to embed learning into everyday operations rather than treating it as a separate HR program.

https://www.adammendler.com/learning-culture/

AI Adoption Is a People Challenge Before It’s a Technology One

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AI adoption challenges stem more from people and cultural factors than technology itself, with many initiatives failing due to lack of employee trust, unclear managerial guidance, and insufficient understanding of when human judgment is needed. Effective implementation requires leaders to empower experimentation, clarify AI’s role and limits, particularly at the frontline management level, and foster a culture of shared learning where adapting and course-correcting are normalized. Ultimately, successful AI adoption depends on aligning culture, skills, and leadership mindset to build confidence and accountability among employees using these tools.

https://hrexecutive.com/ai-adoption-is-a-people-challenge-before-its-a-technology-one/

Human + AI: Leading the Next Workforce Transformation

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Community colleges face a leadership challenge in adapting workforce preparation for an AI-enabled economy by equipping graduates with both AI literacy and distinctly human skills such as judgment, creativity, and ethical reasoning. As AI reshapes tasks within occupations, colleges must integrate AI education across programs and foster human competencies to enable students to work effectively alongside intelligent systems in complex, interactive roles. This human + AI approach ensures graduates are prepared for evolving professional demands and informed citizenship in an AI-driven society.

https://www.ccdaily.com/2026/07/human-ai-leading-the-next-workforce-transformation/

The Workforce Advantage CIOs Can’t Ignore

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Enterprises adopting agentic AI must prioritize workforce transformation alongside technology deployment, as widespread AI literacy is essential for maximizing AI’s value and reducing risks. Current AI education approaches are inadequate, lacking alignment with real-world enterprise use and role-specific needs, prompting a shift toward immersive, practical learning frameworks that foster continuous adaptation, governance, and interdisciplinary collaboration. Organizations that develop AI-literate employees capable of managing AI systems and their evolving complexities will gain a strategic workforce advantage critical for survival and growth.

https://www.ciodive.com/news/AI-literacy-workforce-technology-infosys/824403/

The CIO’s Guide to Skills-Based Workforce Planning

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CIOs face a critical challenge where having sufficient IT staff does not guarantee the right skills to drive digital transformation, particularly in areas like AI, cloud, and cybersecurity. Skills-based workforce planning addresses this by focusing on employees’ capabilities rather than job titles, enabling organizations to dynamically align talent with evolving business priorities, improve agility, and close critical skills gaps through continuous visibility, learning, and flexible deployment of both human and AI-assisted resources.

https://www.techtarget.com/searchcio/tip/The-CIOs-guide-to-skills-based-workforce-planning

AI Training Platform for Teams

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TalentOS is an AI training platform designed to help teams upskill by working on real projects relevant to their business, with AI grading and assessment to demonstrate measurable skills rather than just course completion. It offers tailored training for different departments like marketing, sales, support, engineering, HR, and operations, providing immediate proof of capability and business impact, with pricing plans for small teams to large enterprises.

https://www.talentosapp.com/

AI & Jobs: Are Companies Prepared for the Workforce Revolution?

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The article discusses how organizations can prepare for the workforce revolution driven by AI through three key strategies: reskill, rehire, and recreate. It highlights the importance of reskilling current employees over hiring new talent to maintain internal knowledge and morale, addresses the risk of increased inequality due to uneven AI adoption and entry-level job reductions, and advocates for using AI not only to automate tasks but also to upskill employees, fostering engagement and continuous development.

https://knowledge.insead.edu/leadership-organisations/ai-jobs-are-companies-prepared-workforce-revolution

Gen Z Retention Relies on Building a Robust Learning Culture: 3 Ways to Get It Right

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Gen Z employees value continuous learning opportunities and tend to stay only about 1.1 years at a job, often leaving when career growth feels limited. To improve retention, organizations should focus on effective onboarding that clearly maps out learning and growth paths, actively involve managers in new hire integration, and provide continuous feedback to build employee confidence. These strategies align with Gen Z’s expectations for development and can help reduce turnover within this group.

https://www.shrm.org/topics-tools/news/gen-z-retention-relies-on-building-robust-learning-culture

Smart Factories Are Here — but Is Your Team Ready to Use Them?

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Since the advent of Industry 4.0, manufacturing has evolved into AI-driven smart factories leveraging technologies like IIoT, AI, cloud computing, and digital twins to improve efficiency and decision-making. However, this digital transformation requires significant workforce reskilling to ensure operators and staff can effectively utilize these advanced systems, with immersive training and talent development plans playing a key role in bridging skill gaps and preparing an AI-ready workforce.

https://www.cio.com/article/4162116/smart-factories-are-here-but-is-your-team-ready-to-use-them.html

Chinese Tech Workers Are Starting to Train Their AI Doubles–and Pushing Back

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A viral GitHub project called Colleague Skill, which allows Chinese tech workers to create AI agents that replicate their coworkers’ tasks and personalities by importing workplace chat histories and documents, has sparked concern among workers as bosses increasingly push for automating job functions. Created as a spoof by engineer Tianyi Zhou, the project highlights anxieties over AI-related layoffs and the growing trend of employee-driven automation in Chinese tech companies.

https://www.technologyreview.com/2026/04/20/1136149/chinese-tech-workers-ai-colleagues/

Exclusive: Google Launches AI Jobs Push

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Google is launching new research and skills training programs to prepare workers for the AI economy, including partnerships to reduce healthcare paperwork, establish apprenticeships, and train manufacturing workers in AI skills. By convening government, industry, and civil society leaders, Google aims to influence Washington’s approach to AI and workforce development while supporting bipartisan legislation for public-private partnerships. However, labor groups emphasize the need for stronger worker protections and union representation to ensure a worker-centered transition.

https://www.axios.com/2026/04/14/google-launches-ai-jobs-push

‘There’s a Lot of Desperation’: Skilled Older Workers Turn to AI Training to Stay Afloat

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Skilled older American workers, many with advanced degrees and extensive experience, are increasingly turning to AI training jobs—such as data annotation and model evaluation—as a last refuge amid a harsh job market that disadvantages older employees. While AI training offers flexible, intellectually engaging work, it typically pays less and lacks benefits, making it a temporary solution for those struggling with age bias and layoffs in their traditional careers.

https://www.theguardian.com/technology/ng-interactive/2026/apr/07/ai-training-work-jobs

Local Colleges Ready Students for a Workforce Laden with Artificial Intelligence

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Local colleges like Nazareth University, Rochester Institute of Technology (RIT), and University of Rochester are preparing students for a workforce increasingly shaped by artificial intelligence (AI) by integrating ethical, societal, and technical aspects of AI into their curricula. Programs emphasize the human impact, risks, and interdisciplinary challenges of AI, with RIT launching a new bachelor’s degree in AI this fall and Nazareth offering multiple AI-related courses focused on ethical data science and societal implications.

https://www.wxxinews.org/local-news/2026-04-03/local-colleges-ready-students-for-a-workforce-laden-with-artificial-intelligence

How a GW Professor Is Rethinking Business Education in the Age of AI

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George Washington University Business Professor Michael Tadesse is reshaping business education to prepare students for a workforce transformed by artificial intelligence (AI). By integrating real-world projects, industry expert insights, and emerging AI tools into his curriculum, Tadesse aims to equip students with an innovation mindset and practical skills that enable them to adapt, lead, and innovate in rapidly evolving job markets.

https://gwtoday.gwu.edu/how-gw-professor-rethinking-business-education-age-ai

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