🌐AI and the Workforce Shift: Insights from WEF’s Future of Jobs Report 2025
The World Economic Forum’s latest report highlights a clear trend: AI is reshaping the job market at an accelerating pace. Employers are actively adapting—50% plan to reorient their business strategies around AI, while 66% intend to hire AI-skilled professionals. At the same time, 40% foresee workforce reductions due to automation.
The fastest-growing roles are in AI, big data, fintech, and green energy, while demand for manual dexterity and endurance declines. Beyond technical expertise, skills like creative thinking, flexibility, and continuous learning will be crucial. AI is not just changing jobs—it’s redefining the skills that shape the future of work.
#AI#FutureOfWork#AIEthics
🗣️ «Мысль о том, что ИИ создаст новые рабочие места, - это *полная .. чушь*. Под угрозой замещения находятся даже генеральные директора»
— Мо Гавдат, бывший топ-менеджер Google X.
@ai_machinelearning_big_data
#AI#Jobs#Automation#FutureOfWork
📖New Paper Examines Misattribution in AI-Assisted Work
The paper “The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows” introduces the concept of an “LLM fallacy”: a cognitive attribution error in which individuals interpret outputs produced with LLM assistance as evidence of their own independent competence, creating a gap between perceived and actual capability.
The authors frame the issue as a growing risk in professional environments where AI tools are embedded into everyday workflows. The paper highlights how reliance on model-generated outputs may distort self-assessment of skills and decision-making capacity.
For AI governance and workplace policy, the findings are relevant to training standards, accountability, competence evaluation, and responsible disclosure of AI assistance in cognitive work.
#AIRegulation#AIethics#FutureOfWork#LLM#AIGovernance
🌐Pro-Human AI Declaration Expands the Governance Debate
The recently published Pro-Human AI Declaration outlines five priority areas for AI governance: keeping humans in charge, avoiding concentration of power, protecting the human experience, safeguarding human agency and liberty, and ensuring responsibility and accountability for AI companies. Its preamble contrasts two paths: AI systems replacing human roles and concentrating power, or AI tools that remain controllable and enhance human dignity, liberty, communities, and self-governance.
The declaration broadens the regulatory discussion beyond safety and transparency measures already adopted in jurisdictions such as the EU under the AI Act. It argues that formally lawful or technically safe AI deployments may still embed assumptions that humans should be displaced by machines, particularly through “AI-first” workplace models where productivity is measured by AI usage rather than work quality.
The text calls for pro-human policies, rules, and rights that also address labor practices shaped by mandatory AI adoption, linking these models to risks for skills development, autonomy, and broader social well-being.
#AIRegulation#AIethics#FutureOfWork#HumanRights#AIGovernance
📖Harvard Study: AI Adoption Linked to Expanding Workloads
Research published in Harvard Business Review found that AI tools introduced at a U.S. technology company did not reduce employee workloads over an eight-month period. Instead, approximately 200 employees who independently adopted AI took on broader responsibilities, worked longer hours, and increased multitasking. The study combined behavioral tracking with more than 40 in-depth interviews.
Employees reported that AI made unfamiliar tasks feel manageable, encouraging them to operate beyond their formal roles. The research also identified boundary erosion between work and personal time, with staff submitting prompts after hours or during breaks. Engineers noted additional time spent reviewing and coaching colleagues on AI-assisted code, as requests for “vibe-coding” support accumulated.
The findings indicate that productivity gains from AI adoption may coincide with role expansion, longer working time, and shifting workplace expectations, raising implications for labor governance, workload regulation, and organizational oversight of AI deployment.
#AIandLaw#FutureOfWork#AIGovernance#WorkplaceAI
🤖 The moment he realized a robot just replaced his job.
在深圳街頭，一台全自動 AI 無人清掃機器人，安靜地完成了原本屬於人類的工作。
👇 留言告訴我 ! 你覺得 AI 是解放人類，還是淘汰人類？
沒抗議、沒公告、沒有倒數。
它只是出現，然後開始工作。
⚠️ 這不是科幻
⚠️ 這不是未來
⚠️ 這是正在發生的現在
當 AI 開始取代「體力＋重複性」工作，
下一步會輪到誰？
#AI#Automation#FutureOfWork
#TechTrends#Ethereum#Web3
———
👇⭐️👇
🤣
🥲👇 資源搜索 🖲️👆
🇺🇸U.S. Department of Labor Launches “Make America AI-Ready” Initiative
The U.S. Department of Labor announced the “Make America AI-Ready” initiative, a free AI literacy course designed to provide workers with foundational AI skills. The program delivers training via text messages, allowing users to complete the course in seven days with daily 10-minute sessions, aiming to ensure accessibility, including for individuals without reliable internet or devices.
Developed in partnership with education technology company Arist, the initiative aligns with the White House’s AI Action Plan and America’s Talent Strategy. The course covers five areas: understanding AI principles, exploring use cases, directing AI through prompts, evaluating outputs, and responsible use. According to officials, the program is intended to prepare workers for an AI-driven economy and expand access to AI-related skills and opportunities.
#AIRegulation#AILiteracy#FutureOfWork#USpolicy#AIgovernance
🇨🇳Chinese Courts Limit AI-Based Layoffs
Chinese courts have ruled that companies cannot dismiss employees solely to replace them with artificial intelligence. In several cases, layoffs justified as “optimization” or “efficiency upgrades” were found unlawful when the underlying reason was substitution of human roles with automated systems.
The decisions rely on existing labour law, which requires employers to demonstrate legitimate economic or operational grounds for redundancies. Courts held that adopting AI does not automatically meet this threshold, particularly where companies remain financially stable or the role continues to exist in another form. In at least one case, a dismissed employee successfully challenged the termination and received compensation.
The rulings indicate that AI adoption must remain compatible with labour protections. Workforce reductions linked to automation require demonstrable business necessity and legal justification, rather than reliance on technological change alone.
#AIRegulation#LaborLaw#AIethics#FutureOfWork#China
🚨Este datico es muy importante si eres:
Accionista
Miembro de Junta Directiva
Miembro de Junta Asesora
Directivo
Empleado
Emprendedor
Ser humano
Otro 😁
𝗔𝗹𝗿𝗲𝗱𝗲𝗱𝗼𝗿 𝗱𝗲𝗹 𝟰𝟬% 𝗱𝗲 𝘁𝗼𝗱𝗮𝘀 𝗹𝗮𝘀 𝗵𝗼𝗿𝗮𝘀 𝗱𝗲 𝘁𝗿𝗮𝗯𝗮𝗷𝗼 𝗽𝗼𝗱𝗿í𝗮𝗻 𝘃𝗲𝗿𝘀𝗲 𝗮𝗳𝗲𝗰𝘁𝗮𝗱𝗮𝘀 𝗽𝗼𝗿 𝗹𝗼𝘀 𝗴𝗿𝗮𝗻𝗱𝗲𝘀 𝗺𝗼𝗱𝗲𝗹𝗼𝘀 𝗹𝗶𝗻𝗴üí𝘀𝘁𝗶𝗰𝗼𝘀 𝗱𝗲 #𝗜𝗔, 𝗰𝗼𝗺𝗼 𝗖𝗵𝗮𝘁𝗚𝗣𝗧-𝟰, 𝘀𝗲𝗴ú𝗻 𝘂𝗻 𝗶𝗻𝗳𝗼𝗿𝗺𝗲 𝗱𝗲 𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲.
La dinámica del empleo cambió y es necesario actualizarnos para estar al día en las #competenciasdigitales que requiere esta nueva forma de trabajar y sacarle el mayor provecho. 📈
#futureofwork#talentohumano#liderazgodigital#empleo
https://es.weforum.org/agenda/2023/05/estos-son-los-trabajos-que-se-perderan-y-se-crearan-a-causa-de-la-ia/
📖Gallup: Gen Z Reassesses AI Use Amid Growing Concerns
A Gallup report based on a survey of nearly 1,600 U.S. respondents aged 14–29 shows declining enthusiasm for AI among Gen Z, alongside rising negative sentiment. Only 18% reported feeling hopeful and 22% excited about AI, down from 27% and 36% the previous year, while 31% expressed anger, up from 22%. Anxiety levels remained stable at around 40%.
Despite growing skepticism, AI use continues: over half of respondents reported using AI at least weekly, though adoption growth has slowed. Nearly half of Gen Z workers believe the risks of AI in the workplace outweigh the benefits, even as 56% say it improves efficiency. Eight in ten respondents indicated that reliance on AI may negatively affect learning outcomes, while around half expect AI to be necessary for education and future careers.
#AIRegulation#AIethics#FutureOfWork#Education#AIsociety
🌐📖MIT’s Daron Acemoglu Warns AI May Deepen Inequality
A new survey suggests AI is more likely to reinforce existing economic advantages than broadly distribute benefits. MIT professor and Nobel laureate Daron Acemoglu stated that public narratives portray AI tools as democratizing, while effective use often depends on education, abstract and quantitative skills, and familiarity with computers and coding.
Acemoglu argued that AI is likely to increase inequality between labour and capital, indicating that the economic gains from adoption may be unevenly distributed. The comments add to ongoing debates over whether AI policy should address access, skills, and concentration of economic power.
#AIRegulation#AIethics#Inequality#FutureOfWork#AIEconomics
📖AI Adoption and the Erosion of Skill Formation
A new paper, “How AI Impacts Skill Formation,” by Judy Hanwen Shen and Alex Tamkin, concludes that aggressive workplace deployment of AI may undermine professional development when workers are no longer cognitively engaged in their tasks. The findings indicate that reliance on AI can substitute for learning-by-doing, the mechanism through which expertise traditionally accumulates inside organizations.
The paper highlights a structural risk for early-career professionals. Under time pressure and organizational demands, junior employees may default to AI tools to complete assignments quickly, bypassing the skill-building processes that would normally prepare them for higher-responsibility roles. This creates a pipeline problem: future experts may never fully form.
A further implication is operational. As companies shift toward AI-generated outputs with human oversight, workers whose skills were weakened by prior AI reliance may lack the capacity to validate or debug the systems they supervise. The research frames AI not only as a productivity technology, but as a force that can reconfigure the long-term competence base of the workforce.
#AIRegulation#FutureOfWork#Skills#AIGovernance#WorkplaceAI#AIEthics