Tag: jobs

  • Starting Your Career In 2026? Here’s What A Billion Job Postings Reveal About AI

    Starting Your Career In 2026? Here’s What A Billion Job Postings Reveal About AI

    A big new report from PwC, one of the world’s largest consulting firms, looked at over a billion job postings from around the world to understand how AI is actually changing the job market right now, not in some distant future. The findings matter a lot if you’re applying for your first job.

    The first surprising thing is that companies using AI heavily are hiring more people, not fewer. Since 2018, companies that use AI a lot have grown their staff by 52 percent, compared to 36 percent for companies that barely use it. They’re also becoming more productive and paying better. So working at a company that uses AI a lot isn’t automatically a red flag. It can actually be a good sign.

    The most useful idea in the report is that AI is splitting jobs into two different paths. Some jobs are becoming more valuable because AI takes over the boring, repetitive parts and leaves humans to do the parts that need real thinking, judgment, or people skills. Other jobs are becoming easier because AI now does much of the specialised work that used to require training. Jobs on the first path are growing twice as fast and paying noticeably more than jobs on the second path. When you’re picking a role or a company, it’s worth asking which path that job is on.

    Here’s the part that matters most if you’re a first-time applicant. Companies are now expecting entry-level workers to show leadership, good judgment, and the ability to handle ambiguity much earlier than before. That’s because AI is doing a lot of the simple, repetitive tasks that used to be how junior employees learned the ropes slowly. So instead of waiting years to be trusted with real responsibility, you may be expected to show that potential from your very first job.

    The simple takeaway is this. Learning to use AI tools helps, but it’s not enough on its own. What employers want most are people who can think clearly, lead when needed, and handle problems AI can’t solve by itself.

  • AI Isn’t Killing Jobs Everywhere Yet

    AI Isn’t Killing Jobs Everywhere Yet

    This could bring a bit of a cheer to our members.

    Recent surveys conducted by the U.S. Federal Reserve and the St. Louis Fed show “no clear evidence” that artificial intelligence (AI)adoption has led to widespread job losses. In fact, industries with higher AI uptake are reporting faster productivity growth on both sides of the Atlantic. Job postings data also indicate that firms embracing AI are not reducing hiring compared to others, suggesting that automation is not yet driving the slowdown in recruitment.

    Philippines and India

    According to a recent blog post by James Pethokoukis, senior Fellow DeWitt Wallace Chair Editor, AEIdeas Blog, Apollo Global Management had tracked unemployment trends in two economies heavily exposed to outsourced service work — call centers and back-office operations. Despite predictions that generative AI would devastate these sectors, neither Manila nor India had shown signs of labor-market deterioration. Analysts noted that if automation were truly eliminating jobs at scale, these markets would be the first to feel the shock.

    Key Takeaway

    Across the U.S., Europe, India, and the Philippines, AI’s labor market impact remains muted. While certain occupations —particularly programming — are experiencing slower growth, broader fears of mass displacement are not yet supported by data. Policymakers face the challenge of balancing vigilance with evidence-based action as AI adoption accelerates.


    Here’s a clear breakdown of the impact of AI on jobs in each country or region mentioned in the article you’re viewing:

    • United States
      • Federal Reserve surveys show no evidence of widespread job losses due to AI.
      • Industries adopting AI are seeing higher productivity growth, not reduced hiring.
      • Programmer jobs are the exception: growth has slowed since ChatGPT’s release, though employment is still rising.
    • Europe
      • Similar to the U.S., European labor markets show no clear signs of AI-driven unemployment.
      • Productivity gains are reported in sectors with higher AI adoption.
    • Philippines
      • Despite heavy exposure in call centers and outsourced services, no labor-market deterioration has been observed.
      • Analysts note this sector would be among the first hit if AI displacement were significant.
    • India
      • Outsourced back-office and service jobs remain stable, with no evidence of mass layoffs linked to AI.
      • Like the Philippines, India’s service-heavy economy is closely watched as a potential early indicator of disruption.

    Source: https://www.aei.org/economics/ai-job-panic-still-outruns-the-evidence/

  • AI Adoption Surges In Public Sector: Report

    AI Adoption Surges In Public Sector: Report

    Public-sector employees are now using AI at rates that rival the private sector, with Gallup reporting that 43% of government workers engaged with AI tools in late 2025 — a dramatic rise from just 17% in mid-2023.

    This surge highlights a rapid closing of the technology gap between government and business, despite longstanding challenges in recruiting technical talent and navigating stricter governance frameworks.

    The study shows that while private-sector employees still lead in frequent AI use (25% vs. 21%), public-sector workers surpass them in occasional use (22% vs. 16%). This balance puts government slightly ahead in overall adoption. Analysts attribute the growth to the accessibility of generative AI tools, which require little specialized training, allowing employees to experiment independently.

    Crucially, the report emphasizes that managerial support is the decisive factor in whether AI experimentation becomes routine. In public-sector organizations with strong leadership backing, 65% of employees use AI frequently, compared with only 37% in low-support environments. The findings suggest that leadership strategies — not just technology access — will determine whether AI adoption translates into lasting productivity gains.

    Challenges Remain

    Despite the rapid rise in AI adoption across the public sector, Gallup’s study points out several persistent challenges. Government agencies continue to face difficulties in attracting and retaining technical talent, which limits their ability to fully integrate advanced AI systems. Strict governance and compliance frameworks also slow down experimentation compared to the private sector. Moreover, without strong managerial support, many employees remain hesitant to move beyond casual use of AI tools, leaving productivity gains unevenly distributed. These hurdles suggest that while adoption is accelerating, the path to sustainable and transformative AI use in government still requires deliberate investment in leadership, training, and policy innovation.

    Click here to read the report.