strategy

Employees Use AI, but Many Say They Don’t Know Why

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A Culture Amp study found that while 85% of employees are encouraged to use AI at work, only about 58% understand why their companies are implementing it, and just 60% have seen examples of AI supporting their work. Despite 71% of employees feeling more productive with AI, workload levels remain similar between AI users and nonusers, suggesting a gap between perceived productivity and actual output. The report recommends organizations clarify AI’s purpose and explicitly decide what tasks to stop doing to realize genuine ROI, emphasizing the need for leadership to communicate candidly about AI’s evolving impact on roles and career development.

https://www.hrdive.com/news/employees-use-ai-but-many-say-they-dont-know-why/831073/

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/

In the AI Era, Workforce Transformation Never Ends. Here Are 5 Ways Leaders Can Stay Ahead

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The article emphasizes that AI is fundamentally changing every job, requiring organizations to continuously transform their workforce to keep pace. It outlines five key steps for leaders to design agile, future-ready teams, including fostering ongoing learning, embracing new roles, leveraging AI tools effectively, promoting adaptable cultures, and aligning workforce strategies with rapidly evolving technology. This approach enables companies to maintain competitiveness and resilience amid continuous AI-driven change.

https://www.entrepreneur.com/leadership/ai-is-rewriting-every-job-5-steps-to-design-a-workforce/504673

AI Transformation Requires Redesigning Work, Not Cutting Roles

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Many companies making AI-driven workforce changes are mismanaging layoffs by focusing on headcount reductions rather than redesigning work processes to integrate AI effectively. Experts recommend redefining roles by tasks, aligning AI implementation with overall business strategy, and developing leadership understanding of AI’s true capabilities and limits to avoid costly mistakes and preserve organizational knowledge. Successful AI transformation requires flexible, phased workforce adjustments that prioritize task-level redesign and human-AI collaboration over immediate cuts.

https://hbr.org/2026/08/ai-transformation-requires-redesigning-work-not-cutting-roles

Mark Zuckerberg Had a Bold Plan to Replace Meta Staff with AI. Here’s How It Imploded.

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Meta CEO Mark Zuckerberg pursued an ambitious plan, Project OT, to transform the company into an “AI native” organization by replacing much of the human workforce with AI-driven automation, potentially cutting some teams by up to 60%. However, employee backlash, internal doubts about AI productivity gains, and rising technical issues led Zuckerberg to halt further planned layoffs after a 10% reduction in May 2026, shifting instead toward redeploying staff and enhancing morale amid investor pressure and soaring AI investment costs.

https://www.reuters.com/investigations/mark-zuckerberg-had-bold-plan-replace-meta-staff-with-ai-heres-how-it-imploded-2026-08-26/

AI Is Changing Work. Preparing Workers Must Be a Shared Priority.

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The Information Technology Industry Council emphasizes that artificial intelligence is transforming work by altering tasks rather than eliminating whole jobs, creating opportunities for productivity and innovation while also causing disruptions. They advocate for coordinated efforts among companies, governments, and educational institutions to invest in AI literacy, continuous workforce training, and skills development to prepare workers for these changes. ITI supports legislative measures that promote AI education and workforce reskilling to ensure Americans can adapt and thrive in the evolving AI-driven labor landscape.

https://www.itic.org/news-events/techwonk-blog/ai-is-changing-work-preparing-workers-must-be-a-shared-priority

Organizations Will Need AI and Robot Relations Departments

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As organizations increasingly adopt AI and robotics across sectors, they must create new jobs focused on managing AI agents, robots, and collaborative robots, requiring workers skilled in human-computer interaction. Traditional human resources functions will need to evolve into combined HR and “robot relations” departments that address employee interactions with AI technologies and manage resistance to technological change. Additionally, society will need to redefine work and develop new social contracts to accommodate shifting labor dynamics caused by automation and digitalization.

https://www.brookings.edu/articles/organizations-will-need-ai-and-robot-relations-departments/

AI and Workplace Productivity: What Leaders Need to Know in 2026

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Gallup’s data show that while AI tools have improved individual employee productivity, they have yet to deliver transformational gains at the organizational level due to limited workflow redesign and uneven adoption. The key factor driving frequent AI use and stronger productivity outcomes is active manager support, which shapes employee engagement through clear communication, hands-on modeling, and addressing concerns about AI ethics and job security. Additionally, despite widespread anxiety about AI-driven job loss, direct displacement remains rare, but effective management of employee wellbeing and adoption challenges is essential to maximize AI’s benefits and mitigate workforce disruption.

https://www.gallup.com/workplace/713063/ai-workplace-productivity.aspx

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 Uncomfortable Truth About AI: Your Technology Is Ready. Your Organization Isn’t

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PwC warns that while AI adoption can boost productivity and create new job opportunities, it will also lead to significant workforce disruptions, including job displacements and skill mismatches. Organizations must proactively invest in reskilling and upskilling initiatives to help employees adapt to changing roles and leverage AI effectively.

https://www.pwc.com/us/en/services/ai/uncomfortable-truth-about-ai-workforce-transformation.html

AI Creates a Workforce Dividend. Invest It for Growth.

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The article highlights that CEOs often overlook the critical leadership role required to successfully integrate AI into their organizations. It emphasizes that beyond technology adoption, leaders must focus on workforce reskilling, culture change, and redesigning work practices to fully capture AI’s productivity and growth benefits. PwC underscores that proactive leadership in these areas is essential for realizing the long-term value of AI while managing workforce transformation effectively.

https://www.pwc.com/us/en/services/ai/ai-dividend-growth-redeployment.html

Why HR Must Lead the AI Culture Shift

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HR must lead the AI culture shift by embedding AI into people operations to reduce administrative burdens and enable more strategic work such as retention, coaching, and leadership development. Rather than replacing human judgment, AI augments execution by automating time-consuming tasks like compensation analysis, performance reviews, and recruiting processes, allowing HR teams to focus on building trust and culture. Thoughtful AI adoption can help alleviate HR burnout and preserve the human aspects of leadership in the evolving workplace.

https://hrexecutive.com/why-hr-must-lead-the-ai-culture-shift/

Most Companies Are Already Failing at AI. They Just Don’t Know It Yet.

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Many companies are wrongly assessing their progress with AI by relying on inadequate metrics, leading to widespread but unrecognized failure in effectively implementing AI initiatives. The article warns that the opportunity to correct course and achieve meaningful AI integration is shrinking faster than most organizations realize.

https://www.entrepreneur.com/business-news/most-companies-are-already-failing-at-ai-they-just-dont-know-it-yet

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