ai

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

, ,

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

Why Is Everyone In Tech So Sad?

, , , ,

The article explores the growing sense of disillusionment among knowledge workers in the tech industry as AI increasingly automates their tasks, challenging the meaningfulness of their careers. It highlights how this shift may prompt a broader loss of faith in knowledge work itself, raising questions about the future role and well-being of professionals in an AI-driven economy.

https://www.noemamag.com/why-is-everyone-in-tech-so-sad/

How Will AI Automation Hit — Like a Crashing Wave or a Rising Tide?

, , , , ,

New research from MIT FutureTech shows that AI automation is improving gradually across a broad range of text-based workplace tasks rather than through sudden leaps. AI can already perform 50% to 75% of these tasks without edits, and continued steady progress suggests a rising tide effect that allows governments, organizations, and workers time to prepare for task-level displacements and adapt work processes over the coming years.

https://mitsloan.mit.edu/ideas-made-to-matter/how-will-ai-automation-hit-a-crashing-wave-or-a-rising-tide

Beyond the Data, Part I: Using AI Tools to Turn Workforce Data Into Preventive Compliance

,

Employers typically already have workforce data in payroll and HR systems, but the challenge lies in proactively using that data to prevent wage-and-hour compliance issues before disputes arise. By adopting a five-stage compliance framework—from data collection through continuous monitoring and action—employers can leverage AI tools and improved reporting practices to identify patterns and address risks early, thereby reducing legal exposure and demonstrating good-faith compliance, especially in jurisdictions like California. This approach shifts employer practices from reactive defense to preventive workforce compliance management.

https://ogletree.com/insights-resources/blog-posts/beyond-the-data-part-i-using-ai-tools-to-turn-workforce-data-into-preventive-compliance/

When People Think AI Did the Creative Work, Task Meaning and Effort Decline

, , ,

A study by researchers from the United States and the Netherlands found that when people believe AI created a creative output, they perceive the related task as less meaningful and are less willing to put in effort, such as contributing their own ideas. This decline in task meaning and motivation occurs despite the quality of the AI-generated work remaining constant, highlighting a challenge for organizations adopting AI: preserving human engagement and a sense of ownership in AI-assisted workflows to fully realize productivity gains.

https://www.brookings.edu/articles/when-people-think-ai-did-the-creative-work-task-meaning-and-effort-decline/

Is AI Creating a Culture of Avoidance?

, ,

AI communication tools help reduce interpersonal friction by smoothing difficult interactions, but experts warn they may also erode empathy and human intuition, especially among younger users still developing social skills. Increased reliance on AI for social exchanges can create a culture of avoidance, diminishing people’s ability to practice real-world empathy and weakening trust and mutual connection. Researchers emphasize the importance of using AI to augment rather than replace human relationships to preserve essential social and cognitive skills.

https://cacm.acm.org/news/is-ai-creating-a-culture-of-avoidance/

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

Scroll to Top