Net Effects: Balancing AI-Related Job Losses with AI-Created Roles by Sector and Region

Education-to-Work Transitions: Entry-Level Pathways Eroded by AI?

Read the full article: Education-to-Work Transitions: Entry-Level Pathways Eroded by AI? [https://cantfindjob.com/blog/en/education-to-work-transitions-entry-level-pathways-eroded-by-ai] Discover more at Can't Find Job? AI Is Quietly Replacing Millions of Workers [https://cantfindjob.com/blog] Excerpt: Introduction As artificial intelligence (AI) tools have rapidly entered the workplace, many worry that entry-level jobs and internships – the “stepping stones” from school to career – are disappearing. These roles have traditionally given new graduates hands-on training and a pathway into good careers. The question today is whether generative AI (like ChatGPT, released in late 2022) and related automation have actually reduced entry-level hiring. To answer, we look at data on internship and junior role postings, campus recruiting surveys, and early-employment outcomes. We then consider the effects on recent graduates (especially those in fields most exposed to AI, like computer science or routine business roles) and discuss how policy or employers might preserve these on-ramps. ... Continue reading [https://cantfindjob.com/blog/en/education-to-work-transitions-entry-level-pathways-eroded-by-ai]

United States Deep Dive: AI-Linked Redundancies by State and Occupation

Read the full article: United States Deep Dive: AI-Linked Redundancies by State and Occupation [https://cantfindjob.com/blog/en/united-states-deep-dive-ai-linked-redundancies-by-state-and-occupation] Discover more at Can't Find Job? AI Is Quietly Replacing Millions of Workers [https://cantfindjob.com/blog] Excerpt: United States Deep Dive: AI-Linked Redundancies by State and Occupation Artificial intelligence (AI) is increasingly mentioned in major layoff announcements. News reports in 2025–2026 show tech and business leaders cutting jobs to reallocate budgets toward AI. For example, Challenger, Gray & Christmas data show 21,490 U.S. job cuts in April 2026 were described as AI-related (about 26% of all cuts that month) (www.cbsnews.com). Similarly, NBC News notes Microsoft cut 9,000 roles in mid-2025 amid its “AI first” push (fortune.com), and Oracle reported a 21,000-person reduction (13% of staff) in fiscal 2026 “as the cloud giant…” adopted AI broadly (www.sahmcapital.com). In total, analysts estimate tens of thousands of jobs have been directly linked to AI causes; for example, over 27,000 U.S. layoffs since 2023 were “directly tied to the advent of AI” (www.cbsnews.com). ... Continue reading [https://cantfindjob.com/blog/en/united-states-deep-dive-ai-linked-redundancies-by-state-and-occupation]

Net Effects: Balancing AI-Related Job Losses with AI-Created Roles by Sector and Region

Read the full article: Net Effects: Balancing AI-Related Job Losses with AI-Created Roles by Sector and Region [https://cantfindjob.com/blog/en/net-effects-balancing-ai-related-job-losses-with-ai-created-roles-by-sector-and-region] Discover more at Can't Find Job? AI Is Quietly Replacing Millions of Workers [https://cantfindjob.com/blog] Excerpt: Net Effects: Balancing AI-Related Job Losses with AI-Created Roles by Sector and Region Artificial intelligence (AI) is rapidly reshaping work. On one hand, many routine tasks – from data entry to customer support – can now be automated, leading firms to cut staff. On the other hand, new AI-intensive roles are emerging, such as data annotators, AI trainers, and machine-learning engineers. Analysts and surveys paint a mixed picture. For example, the World Economic Forum’s 2025 Future of Jobs report projected that by 2030 AI could create about 170 million new roles while displacing 92 million, yielding a net gain of ~78 million jobs globally (arstechnica.com). But most of those gains and losses are expected over many years. In the near term (through mid-2026), the effects are more modest and uneven by industry and region. ... Continue reading [https://cantfindjob.com/blog/en/net-effects-balancing-ai-related-job-losses-with-ai-created-roles-by-sector-and-region]

Twenty Company Case Studies: Linking AI Deployments to Workforce Outcomes

Read the full article: Twenty Company Case Studies: Linking AI Deployments to Workforce Outcomes [https://cantfindjob.com/blog/en/twenty-company-case-studies-linking-ai-deployments-to-workforce-outcomes] Discover more at Can't Find Job? AI Is Quietly Replacing Millions of Workers [https://cantfindjob.com/blog] Excerpt: Linking AI Deployments to Workforce Outcomes Companies across industries are now explicitly tying AI adoption to workforce changes. By mid-2026, firms large and small have reported productivity gains from AI while reshuffling their headcounts. For example, a Reuters analysis found that some 312,000 tech-sector jobs were cut from 2023–2026 even as AI was cited as the rationale in 78% of cases (www.aiexposure.org). In this article we profile 20 major companies — in banking, technology, retail, telecom and more — and document how each has quantified headcount changes linked to specific AI initiatives. We compare these outcomes to less-automated peers and highlight how companies are reallocating talent. (Figures and quotes below come from earnings calls, filings and news reports through June 2026.) ... Continue reading [https://cantfindjob.com/blog/en/twenty-company-case-studies-linking-ai-deployments-to-workforce-outcomes]

G7 Comparison: AI-Attributed Job Losses in April–May 2026

Read the full article: G7 Comparison: AI-Attributed Job Losses in April–May 2026 [https://cantfindjob.com/blog/en/g7-comparison-ai-attributed-job-losses-in-april-may-2026] Discover more at Can't Find Job? AI Is Quietly Replacing Millions of Workers [https://cantfindjob.com/blog] Excerpt: G7 Comparison: AI-Attributed Job Losses in April–May 2026 The early 2026 data show that many advanced economies saw a mix of growth and adjustment in employment. To compare AI-related job losses in the G7 (United States, Canada, UK, France, Germany, Italy, Japan), we use the latest labour-force releases for April–May 2026. We align each country’s industry and occupation codes (using international standards like ISCO/NACE) and apply a common AI exposure index (measuring how much tasks involve digital intensity versus human/tacit skills). We also account for differences in GDP growth and labour policies, since faster-growing economies tend to add more jobs overall, and strong welfare systems can affect layoff timing. ... Continue reading [https://cantfindjob.com/blog/en/g7-comparison-ai-attributed-job-losses-in-april-may-2026]