How AI Changes Are Reshaping Jobs and Hiring in the US
269A new survey sheds light on the current state of the job market in the US. Half of all companies are slowing down their hiring, and about one in three are planning layoffs by the end of the year. The survey, conducted by Resume.org, asked 1,000 business leaders across the country about their plans and concerns. It found that workers earning high salaries and those without skills in artificial intelligence (AI) are most at risk. Younger employees seem more likely to be affected, according to 30% of companies, while 29% said older workers are also vulnerable. Visa holders on H-1B are considered more at risk by 19% of respondents. With many companies expecting to replace human workers with AI tools by 2026, it’s clear that the job landscape is shifting fast. However, some of this data could be influenced by strategic messaging, given Resume.org’s role in connecting job seekers and employers.
Tech Sector Faces Major Changes and Opportunities
The tech industry, in particular, is feeling the effects of these changes. Many companies over-hired during the pandemic, and now they’re adjusting to new realities. This has led to big layoffs in some areas. Kara Dennison from Resume.org explains that companies are trying to find a balance as AI and other technology reshape how work is done. Despite the layoffs, certain fields are booming. Jobs in cybersecurity, cloud computing, AI, digital transformation, and data analytics are growing fast. Dennison recommends that tech workers focus on building their LinkedIn profiles, networking beyond their current roles, and highlighting skills that can transfer across industries. She emphasizes that flexibility is key—being open to contract, remote, or different industry roles can help workers stay competitive. She suggests targeting sectors like healthcare, energy, and finance, where tech skills are in high demand. Continuous learning and smart networking can help tech professionals thrive, even during uncertain times.
The Rise of AI and Its Impact on Jobs
The introduction of generative AI (genAI) is not just about automating tasks; it’s transforming many roles across industries. The big question is not whether AI will change jobs, but how much and in what ways. Other research, like a recent report from Indeed, shows that most jobs will experience some level of impact from AI. About a quarter of jobs may face significant changes. Technical roles such as software development, data analysis, and IT support are especially vulnerable. Indeed analyzed 2,900 skills and found that 60% are likely to be affected by AI, with many tasks becoming partly or fully automated. Some skills can be assisted by AI but still need human oversight, while others could be handled by AI independently. The reality is that many companies haven’t fully adopted AI tools yet, which affects how quickly these changes happen.
Automation, Skills Gaps, and the Future of Tech Employment
Despite fears about AI replacing jobs, the job market remains resilient. A year ago, very few skills were seen as at high risk of being fully automated. Now, that number has grown, indicating AI’s growing influence. Tech roles like software development, data analytics, and IT support show high exposure to AI-driven change. Kye Mitchell from Experis notes that the picture is more nuanced. While some companies are cautious due to economic uncertainties, the overall outlook for employment in tech remains positive. A recent survey by ManpowerGroup shows a strong demand for skilled workers, especially in IT, with a net employment outlook of +46%. However, a persistent skills gap remains—many employers struggle to find candidates with advanced AI skills. Reports from McKinsey and Deloitte highlight that demand for AI-savvy workers is outstripping supply by a large margin, likely to continue into at least 2027. This mismatch worries employers, even as many job-seekers feel uncertain about their prospects. The ongoing challenge will be closing this skills gap and adapting to the rapidly changing tech landscape.
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