training

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

MetLife Study Finds AI Acceleration Is Creating New Concerns in Today’s Workplace

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MetLife’s 2026 Employee Benefit Trends Study reveals that while AI adoption is enhancing workplace efficiency, 61% of employees are concerned about ethical risks and job security related to AI. The study highlights a growing need for employers to provide clarity, skill development, and supportive benefits to help employees adapt and maintain well-being amid rapid technological change.

https://www.metlife.com/about-us/newsroom/2026/march/metlife-study-finds-ai-acceleration-is-creating-new-concerns-in-todays-workplace/

‘The Workforce Needs to Embrace AI’: Why Humans Are Critical to the Future of AI-integrated Work

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EY’s Global Managing Partner, Jad Shimaly, emphasizes the importance of human involvement in AI integration. He highlights the need for training, collaboration, and clear frameworks to ensure employees embrace AI and its benefits. Shimaly also stresses the importance of responsible AI practices, including defining standards, communicating them, and maintaining ongoing oversight.

https://www.euronews.com/next/2026/03/05/the-workforce-needs-to-embrace-ai-why-humans-are-critical-to-the-future-of-ai-integrated-w

Why Companies Need to Develop an AI-Ready Workforce

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AI deployment is hindered by a shortage of qualified talent, necessitating companies to develop an AI-ready workforce. A blended strategy combining hiring skilled professionals and upskilling existing employees is crucial. Demand for AI roles has surged, with significant skills mismatches impeding progress. Companies must invest in infrastructure, data quality, and strategic alignment to achieve AI readiness. Delays in AI projects can lead to competitive disadvantages, making proactive workforce development essential for sustainable AI integration. Collaborations with educational institutions and internal training programs are vital for addressing the talent gap.

https://huntscanlon.com/why-companies-need-to-develop-an-ai-ready-workforce/

Leading in the Age of AI: Building a Workforce Ready for Human-Agent Collaboration

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AI’s value emerges when paired with the right leadership and workforce mindset. Successful adoption demands a shift from fearing AI to viewing it as a collaborative partner. Organizations need continuous learning, emphasizing human-AI collaboration, with managers leading this change. Essential skills include process expertise, effective prompting, domain knowledge, and strategic communication, which foster effective AI integration in operations. By harmonizing technology with human contributions, companies can create resilient, innovative, and future-ready workforces.

https://www.financialexecutives.org/FEI-Daily/February-2026/ai-workforce-transformation-mindset-managers-skill.aspx

AI Isn’t Failing, People Are Failing With AI

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The article emphasizes that AI projects fail not due to the technology itself, but from improper application and lack of understanding. Success with tools like BERT and GPT relies on domain expertise and a structured approach to deployment, particularly in data-heavy industries like healthcare and finance. A risk-based framework is recommended for assessing AI applications. In summary, effective AI use hinges on comprehension of technology, data management, and strategic application.

https://www.cio.com/article/4135361/ai-isnt-failing-people-are-failing-with-ai.html

The AI Workforce Myth: Why Training Won’t Deliver Readiness

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Organizations investing in AI readiness find that training alone does not produce business impact because it doesn’t change how work gets done or how AI is adopted. Structural barriers—outdated processes, missing governance, and roles not aligned with AI—limit adoption. Leading organizations redefine operating models by integrating AI into workflows, updating job descriptions, establishing governance, and creating performance-based incentives. They conclude readiness requires organizational redesign and change management, not just skill training. 

https://rsmus.com/insights/services/business-strategy-operations/why-training-wont-deliver-readiness.html

Skills Are Evolving Too Quickly for Current Training Cycles, Report Says

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IT skills are changing rapidly, with responsibilities shifting every 18 months. Companies view training as a perk rather than essential for operations, leading to skill gaps. Research suggests embedding learning into workflows to align skill development with business needs is crucial. Integrating training could also improve job retention, as many workers desire more training opportunities.

https://www.ciodive.com/news/learning-skills-evolving-training-cycles-it-info-tech/812628/

KPMG 2026 Perspectives: Local Insights From Boston

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KPMG’s 2026 report on Boston businesses shows a strategic shift towards AI adoption and workforce upskilling amidst economic uncertainty. Leaders emphasize efficiency, with 98% providing AI training and 91% focusing on internal upskilling to reduce hiring needs. Confidence in growth remains high (up to 94%), but there are concerns over integration of AI, cybersecurity, and market conditions. While hiring and expansion plans have slightly decreased, 93% intend to increase AI use, expecting transformative impacts on operations. Additionally, Boston’s talent quality and educational resources are seen as competitive advantages, with a substantial number aiming for acquisitions in 2026 despite tariff impacts affecting sales.

https://kpmg.com/us/en/media/news/boston-perspectives.html

Building Students for an AI-driven Workforce

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AI education for workforce readiness is critical. Countries like Tajikistan are mandating AI literacy in schools, while others like Canada focus on updating curricula. Challenges include integrating AI into existing systems and ensuring teacher competence. Innovative practices involve experiential learning and collaboration with employers to equip students for current workforce demands.

https://www.relocatemagazine.com/building-students-for-an-ai-driven-workforce-ledetta-asfa-wossen-betts-0226

Building Talent for an AI-driven Future

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TLDR: Lumina Foundation aims to enhance post-high school education and credentials for Americans, focusing on equity and workforce alignment. President Jamie Merisotis discussed the impact of AI on jobs, urging preparation for uniquely human skills. Despite challenges in higher education perception, degree value persists with significant income benefits. Future adaptations are needed for affordability, flexibility, and workforce relevance. Employers should enhance training and partnerships with educational institutions to create skilled, adaptable workers in a changing economy.

https://www.luminafoundation.org/news-and-views/building-talent-for-an-ai-driven-future/

17 Tips For Building Strong Workforce Development In The AI Age

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The article offers strategic tips for workforce development in the age of AI. It emphasizes designing intentional, adaptable skill-building systems that align technology adoption with employee growth and long-term engagement. Key recommendations include clear communication about change, using AI to eliminate low-value work, focusing on capabilities over specific roles, and embedding learning into real tasks. Leaders are advised to tie upskilling to career paths and continuously map skills as work evolves to support innovation and loyalty. 

https://www.forbes.com/councils/forbesbusinesscouncil/2026/02/06/18-tips-for-building-strong-workforce-development-in-the-ai-age/

This Start-Up Is Making a Fortune Training the Unemployed to Automate Their Former Jobs With AI

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Start-up trains unemployed to automate their jobs with AI. As job market weakens and more roles are replaced by automation, ex-workers are hired to teach AI skills they previously possessed, raising ethical concerns. This trend reflects a grim future where human labor value diminishes. Some firms regret replacing workers with AI, revealing limitations in AI capabilities.

https://www.futura-sciences.com/en/this-start-up-is-making-a-fortune-training-the-unemployed-to-automate-their-former-jobs-with-ai_25046/

AI Reshapes China’s Workforce Via New Professions, Constant Learning, One-person Startups

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AI is transforming China’s workforce by creating new job roles, facilitating entrepreneurship, and requiring continuous skill development. The rise of AI-related jobs has led to increased wages and job openings in sectors like algorithm engineering. Despite concerns about job displacement, AI is enabling higher value roles and encouraging lifelong learning among a diverse range of workers. The trend supports the emergence of One Person Companies (OPCs) leveraging AI. China’s “AI Plus” initiative aims to enhance skills training and reemployment opportunities as technology evolves.

https://english.news.cn/20260204/8d1bd05e8c4240998206fb9bdf32860a/c.html

Growth in 2026 Won’t Happen Without Businesses Prioritizing Worker Trust and Skills

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Businesses must prioritize employee trust and skills for growth in 2026. Research indicates that while employees are optimistic about AI’s potential, many companies are not effectively leveraging AI to boost productivity. High-performing organizations that invest in upskilling and employee collaboration achieve better results, demonstrating that human-centric approaches are vital for successful AI integration and organizational growth.

https://www.unleash.ai/artificial-intelligence/growth-in-2026-wont-happen-without-businesses-prioritizing-worker-trust-and-skills/

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