ai

How AI Replaced Me

,

An edtech Customer Success Manager recounts being laid off as her company rapidly replaced human roles with AI, despite ongoing product and customer challenges. She describes how AI adoption prioritized automation and surveillance over genuine customer needs and employee well-being, resulting in layoffs, dehumanized work practices, and declining job security even amid an industry boom. The experience highlights broader concerns about AI-driven workforce displacement and the erosion of human-centered roles in tech.

https://www.oaklandreviewofbooks.org/how-ai-replaced-me/

AI Is Changing Your Company Culture Whether You Planned for It or Not. Here’s How to Shape What Happens Next.

, , ,

AI is transforming company cultures by influencing communication, decision-making, and work dynamics, whether organizations planned for it or not. To effectively respond, leaders must proactively shape AI integration by fostering transparency, encouraging collaboration, and addressing ethical considerations to align AI’s impact with their values and workforce needs. This approach helps organizations harness AI’s benefits while maintaining a positive and adaptive workplace culture.

https://www.entrepreneur.com/business-news/tech/ai-is-changing-your-company-culture-whether-you-planned-for-it-or-not-heres-how-to-shape-what-happens-next

AI and Jobs: 4 Takeaways From Google’s Chief Economist

, , ,

Google’s chief economist Fabien Curto Millet highlights that AI will transform most jobs rather than eliminate them outright, with significant productivity gains arising from redesigning workflows rather than incremental improvements. He emphasizes that managers will need to adapt by overseeing AI agents alongside human teams and that workforce training and upskilling are critical to help displaced workers transition into new roles created by AI. Public-private partnerships and equitable access to AI technologies will be essential to ensure broad economic benefits and address disparities in AI adoption.

https://mitsloan.mit.edu/ideas-made-to-matter/ai-and-jobs-4-takeaways-googles-chief-economist

80% of Employees Want to Use AI More Than Their Jobs Allow

, ,

A recent survey reveals that 80% of employees wish to use artificial intelligence more extensively in their jobs than their current roles permit. This indicates a significant gap between workforce demand for AI tools and organizational adoption, highlighting opportunities for companies to integrate AI to boost productivity and employee engagement.

https://news.cognizant.com/2026-10-09-80-of-Employees-Want-to-Use-AI-More-Than-Their-Jobs-Allow

Voters Want AI Regulated for Jobs, Not Just Safety

, , ,

A survey across 11 advanced economies reveals that a majority of citizens support establishing an independent authority to regulate generative AI, with stronger backing in countries like the UK. Public tolerance for AI in the workplace depends significantly on its impact on jobs: strict regulation is favored when AI-driven job losses do not increase firm profits, but less so when new jobs are created or profits rise. The findings indicate broad public concern with the socio-economic distribution of AI’s benefits and risks, suggesting that regulatory frameworks should address labor-market impacts alongside safety and control issues.

https://www.socialeurope.eu/voters-want-ai-regulated-for-jobs-not-just-safety

The 6 Essential Skills Your Workforce Needs to Keep Pace with AI

, , ,

To realize value from AI investments, organizations should focus on developing six core workforce skills in two areas: work orchestration and oversight/governance. Work-orchestration skills—problem formulation, systems thinking, and strategic foresight—enable employees to effectively collaborate with AI and anticipate transformative changes. Oversight and governance skills—AI judgment and risk mitigation, human-AI mediation, and ethical leadership—equip employees to ensure AI outputs are reliable, ethically sound, and aligned with organizational values, fostering workforce readiness that evolves alongside AI technology.

https://hbr.org/2026/10/the-6-essential-skills-your-workforce-needs-to-keep-pace-with-ai

Want Employees to Embrace AI? Stop Selling It as a Productivity Tool

, , , ,

Research by Stanford and partner universities shows that framing AI deployment as a job enrichment tool rather than merely a productivity enhancer leads to greater employee engagement and experimentation. Successful adoption depends on managers providing training, time, and new evaluation metrics that recognize higher-value work enabled by AI, rather than focusing solely on output volume. This approach helps employees see AI as a means to make work more meaningful and supports sustained organizational value creation alongside technological integration.

https://hai.stanford.edu/news/want-employees-to-embrace-ai-stop-selling-it-as-a-productivity-tool

‘The Collision: What AI Does to Us’

, , , ,

MIT Sloan professor Eric So’s book “The Collision: What AI Does to Us” explores how artificial intelligence is reshaping human cognition, potentially weakening our judgment, learning, and tolerance for challenging problems as people increasingly outsource thinking to AI—a phenomenon he terms “AI gravity.” So advises employees, managers, executives, and educators to use AI as a tool to augment uniquely human skills rather than replace them, emphasizing the importance of preserving deep thinking, rewarding sound judgment, developing talent alongside AI adoption, and integrating AI education rather than banning it. He warns that misusing AI risks cognitive atrophy and long-term workforce de-skilling, urging that AI be leveraged to free humans for more sophisticated, boundary-pushing work while keeping humans in control.

https://mitsloan.mit.edu/ideas-made-to-matter/collision-what-ai-does-to-us

There’s No Such Thing as an AI-Ready Culture

, ,

Most organizations are better equipped to perform reliably than to transform in response to AI-driven change, as true AI readiness requires a culture of adaptability rather than a fixed mindset. Key cultural shifts enabling adaptability include focusing on impact over activity, embracing experimentation, developing decision systems that distribute authority, fostering enterprise-wide thinking instead of local optimization, and prioritizing learning velocity over accumulated expertise. Building these dynamic cultural capabilities allows organizations to evolve continuously with AI advancements and market disruptions.

https://hbr.org/2026/10/theres-no-such-thing-as-an-ai-ready-culture

A Collection of HBR’s Most Insightful Research on AI at Work

, , ,

Harvard Business Review’s research reveals that AI is increasingly integrated into workplaces, with employees delegating complex tasks and workflows to AI, often expanding their scope of work but also facing challenges like increased task switching and burnout. The findings caution leaders to carefully manage AI use to avoid inefficiencies, scrutinize AI outputs and human assumptions, and maintain clear accountability as AI changes decision-making roles. Importantly, human judgment and expertise remain crucial for interpreting AI results, with organizations needing to design meaningful human roles alongside AI implementation.

https://hbr.org/2026/09/a-collection-of-hbrs-most-insightful-research-on-ai-at-work

Companies Risk Losing Their Most AI-savvy Employees While Leaving Majority Behind

PwC warns that companies risk losing their most AI-savvy employees if they fail to create inclusive AI strategies that engage the broader workforce. While a small group adopts AI tools rapidly, the majority of employees feel left behind, which could lead to talent losses and hinder organizational transformation. The report emphasizes the need for companies to accelerate AI adoption across all levels to retain key talent and fully realize AI’s potential.

https://www.pwc.com/gx/en/news-room/press-releases/2026/companies-risk-losing-ai-savvy-employees.html

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

, , , , , , ,

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

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

, ,

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 Does AI Change Labor Demand? Evidence From 41 Countries

,

A study by the Stanford Digital Economy Lab analyzes how generative AI adoption affects labor demand across 41 countries using data from over 1.25 billion job postings and 154 million employment records. The findings indicate that AI adoption shifts employment toward senior workers in AI-exposed occupations while reducing the share of junior workers in those roles, with modest overall employment growth and productivity gains suggested. This reflects a nuanced labor demand impact where AI increases firm productivity and changes task content differently across worker types.

https://digitaleconomy.stanford.edu/publication/how-does-ai-change-labor-demand/

Workplace AI Adoption Remains Slow, Informal and Uneven, Survey Finds

, ,

A 2026 survey by the University of Konstanz found workplace AI adoption remains slow, informal, and uneven, with only 38% of employees using AI in their work, a slight increase from the previous year. Usage is often employee-driven rather than strategically managed, with disparities across occupational groups, education levels, and organizational size, leading to uneven benefits and risks. The study highlights the need for clearer company policies, AI training, and support—particularly for small businesses and less-educated workers—to address these inequalities and facilitate a more systematic AI integration.

https://phys.org/news/2026-09-workplace-ai-uneven-survey.html

Scroll to Top