ai

AI at Work: Gains at the Top, Pressure for Everyone Else

, , ,

A recent survey by Groundwork Collaborative and Ipsos reveals that most American workers anticipate AI will primarily benefit business owners and executives rather than employees, with many expecting AI to worsen job conditions by eliminating roles and increasing work pressure. AI use is significantly higher among college graduates and white-collar workers, who also express more optimism about AI improving their jobs, while lower-income, less-educated, and Black workers are more likely to fear job replacement and negative impacts. Unemployed individuals report even greater concern about AI’s adverse effects on their employment prospects.

https://groundworkcollaborative.org/work/ai-at-work-gains-at-the-top-pressure-for-everyone-else/

Could AI Take Your Job? Some Workers in China Already Know the Answer

, , ,

In China, the rapid deployment of AI technologies, such as driverless taxis, is intensifying concerns about job security amid a fragile labor market where millions have shifted into gig work. While AI aims to drive shared prosperity, gig and white-collar workers express fear and uncertainty as automation disrupts traditional employment and wages. The country faces rising unemployment alongside a surge in flexible employment, highlighting tensions between technological progress and workforce stability.

https://www.theguardian.com/world/2026/jul/31/china-ai-jobs-workers-labour-market-technology

What Is Really Happening to Jobs? Separating AI Hype From Reality

, ,

Current research indicates that AI’s overall impact on employment remains small, with no significant job losses directly attributable to AI so far, although recent graduates in AI-exposed jobs face a tougher labor market potentially linked to AI adoption. AI generally enhances worker productivity, especially for less experienced workers, but gains vary widely by task and skill level, and firm adoption of AI is accelerating unevenly—mostly concentrated in technology and information-intensive sectors—with broad structural effects and significant workforce shifts still unfolding.

https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality

Organizations Will Need AI and Robot Relations Departments

, , ,

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/

Exclusive: Workers Are Crossing Job Boundaries with AI, OpenAI Research Shows

, ,

OpenAI research reveals that workers increasingly use ChatGPT to perform tasks associated with other occupations, with about 44% of occupation-specific AI requests crossing traditional job boundaries. This trend is particularly notable among customer service, design, and HR professionals and is more pronounced in smaller firms, suggesting AI may be enabling employees to fill expertise gaps and potentially reshape job design and hiring practices before these changes appear in labor statistics. However, the study does not establish if AI is creating new cross-occupational tasks or improving productivity and work quality.

https://www.axios.com/2026/07/27/openai-chatgpt-work-specialists

Managers Say They Don’t Feel Ready to Lead an AI-fluent Workforce

, ,

A recent survey by Indeed and YouGov reveals that 43% of managers feel unprepared to lead AI-fluent workforces, with a gap between employer expectations for AI use and employee comfort with the technology. While 52% of workers report inadequate AI training and ethical concerns hinder upskilling, companies are accelerating AI adoption faster than developing necessary skills and leadership readiness. The findings highlight a pressing need for organizations to focus on building AI-capable leaders to fully leverage AI’s workforce potential.

https://www.hrdive.com/news/managers-say-they-dont-feel-ready-to-lead-an-ai-fluent-workforce/826354/

AI and the Workforce Have the Same Blind Spots

, , ,

New research highlights that while AI accelerates work output, the assumed human quality control step may be compromised due to workforce skill gaps in critical thinking, attention to detail, and creative problem-solving—key competencies for effective AI oversight. Gen Z and Millennial workers excel in communication but score below average on these crucial review skills, risking quality breakdowns in high-stakes AI-augmented roles where error detection is vital. Organizations should assess and build these human skills deliberately, track quality separately from speed, and align roles with verified competencies to ensure AI-human collaboration delivers both efficiency and accuracy.

https://www.cio.com/article/4201924/ai-and-the-workforce-have-the-same-blind-spots.html

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

, , , , , ,

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

Research: Why Some Junior Employees Work Well with AI—and Others Don’t

,

Research indicates that as AI increasingly handles routine, analytical tasks once performed by junior employees, the key to value creation lies in how individuals complement AI with judgment, domain expertise, and decision-ready outputs. Organizations must understand why some early-career employees adapt well to AI integration, leveraging it to enhance their work, while others struggle, as generative AI raises the baseline for acceptable performance in knowledge work. This dynamic highlights the evolving role of junior talent in AI-augmented professional environments.

https://hbr.org/2026/07/research-why-some-junior-employees-work-well-with-ai-and-others-dont

AI Is Redesigning Work: Adecco Group Whitepaper Reveals the Need for Hybrid Workforce Orchestration

, ,

The Adecco Group’s new whitepaper highlights that AI is reshaping work by transforming tasks, workflows, and skill requirements faster than it eliminates jobs, with uneven impacts across sectors and roles. It emphasizes the emerging discipline of hybrid workforce orchestration—integrating people, AI agents, and physical AI—to maximize value and productivity, noting that firms redesigning workflows around hybrid human-AI systems achieve greater gains than those treating AI as a standalone tool. The report calls for organizations to build new capabilities in workforce analytics, work redesign, AI management, reskilling, and governance to capture sustainable value from AI-driven workforce transformation.

https://www.adeccogroup.com/our-group/media/press-releases/rise-of-hybrid-labor-markets

Will Your Job Be Replaced by AI? Here Are the Roles Most Affected

,

Advances in artificial intelligence (AI) are rapidly increasing automation and augmentation of work, especially in roles involving software development, finance, and creative industries. Research shows significant job displacement effects among younger workers in AI-exposed sectors, with companies investing heavily in AI to boost productivity but also facing high operational costs that may limit automation uptake. While AI adoption is reshaping labor demand, uncertainties remain about the pace and extent of job replacement across different sectors and regions.

https://www.bbc.com/news/articles/cn7nllr4vd6o

Human + AI: Leading the Next Workforce Transformation

, ,

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/

Organizational AI Adoption Jumps Six Points

, , ,

Organizational adoption of AI in U.S. workplaces increased from 41% to 47% in Q2 2026, with 52% of employees now using AI in their roles, mostly for writing, research, and problem-solving. Productivity gains are highest among employees using AI for specialized tasks like coding, automation, and data analytics, and workers who use AI for a broader variety of functions report greater productivity improvements. These findings suggest that supporting employees to apply AI across multiple job-relevant tasks can enhance organizational productivity more than limited or occasional AI use.

https://www.gallup.com/workplace/712736/organizational-adoption-jumps-six-points.aspx

What Will Be Left for Us to Work On?

,

Arvind Narayanan discusses the evolving role of human work amid increasing automation and AI advances, questioning what tasks will remain uniquely human. He argues that while many routine and even some complex tasks are becoming automated, humans will continue to be needed for roles involving creativity, empathy, ethical judgment, and complex social interactions. This shift calls for adapting workforce skills and organizational approaches to focus on areas where human qualities and oversight remain essential.

https://www.normaltech.ai/p/what-will-be-left-for-us-to-work

What Nobody Wants to Talk About in AI Disruption, and a Silver Lining

, ,

The article compares AI disruption in the workplace to a forced-rotation culture that compels employees to continually update their skills and adapt proactively. It emphasizes that fear of obsolescence is natural, but individuals who actively manage their career trajectory with discipline and integrate mind, body, spirit, and emotion are better equipped to navigate change. The author encourages leaders to acknowledge their fears, move beyond purely cognitive responses, and take ownership of their development to remain relevant and resilient amid rapid AI-driven transformations.

https://www.psychologytoday.com/us/blog/mental-health-in-the-workplace/202607/what-nobody-wants-to-talk-about-in-ai-disruption-and-a

Scroll to Top