{"id":303,"date":"2025-01-31T18:58:33","date_gmt":"2025-01-31T18:58:33","guid":{"rendered":"https:\/\/blog.globalnexusgroup.com\/?p=303"},"modified":"2025-02-26T00:44:10","modified_gmt":"2025-02-26T00:44:10","slug":"ai-the-future-of-work","status":"publish","type":"post","link":"https:\/\/blog.globalnexusgroup.com\/?p=303","title":{"rendered":"AI & The Future of Work"},"content":{"rendered":"\n

Blog post by: <\/em>Liang Cheng and Rob McLay<\/em><\/p>\n\n\n\n

Artificial Intelligence (AI) continues to evolve at breakneck speed, reshaping how we live and work. While OECD labour markets remain historically tight\u2014unemployment in some countries is at levels not seen since the early 1970s\u2014many workers are feeling the pinch of high inflation and sluggish wage growth. At the same time, organizations everywhere are waking up to the transformative power of AI, recognizing both its potential and the risks it may pose.<\/p>\n\n\n\n

In this blog post, we\u2019ll explore the current state of labour markets, examine how AI could alter job landscapes, and highlight emerging research from a range of reputable institutions. Finally, we\u2019ll look at what policymakers and business leaders can do to ensure AI becomes a force for good in the future of work.<\/p>\n\n\n\n

Labour Markets Have Stabilized<\/strong><\/p>\n\n\n\n

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  1. Historically Low Unemployment<\/strong>
    In many OECD countries, unemployment rates are still remarkably low, dipping below pre-pandemic benchmarks. This is partly due to recovery efforts and a resurgence in consumer and business activity after pandemic-induced slowdowns.<\/li>\n\n\n\n
  2. Job Vacancies and Skills Mismatch<\/strong>
    While the number of vacant positions per jobseeker has eased slightly, the tightness in the labour market persists\u2014especially in roles requiring advanced digital or AI-related skills. This highlights the importance of reskilling and upskilling to bridge the gap between what employers need and what workers can offer.<\/li>\n\n\n\n
  3. Increased Labour Force Participation<\/strong>
    Labour force participation rates have rebounded, reflecting both necessity and opportunity. More people are returning to\u2014or entering\u2014the workforce than in the early days of the COVID crisis. However, challenges remain for underrepresented groups, who often lack the resources or networks needed to re-engage successfully in a rapidly changing job market.<\/li>\n<\/ol>\n\n\n\n

    Cost-of-Living Crisis: Real Wages are Down<\/strong><\/p>\n\n\n\n

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    1. Nominal vs. Real Wage Growth<\/strong>
      Although nominal wages (the amount on your paycheck) have seen moderate increases, inflation has risen faster, resulting in a decrease in real wages for most workers. Low-wage earners feel the brunt of this crisis, where every uptick in energy or food prices undercuts their purchasing power.<\/li>\n\n\n\n
    2. Minimum Wage Protections<\/strong>
      On a positive note, many OECD countries have adjusted statutory minimum wages to keep pace with inflation, offering a critical buffer for the lowest earners. Still, high-level data from the World Bank<\/strong> and International Labour Organization (ILO)<\/strong> indicate that global wage gaps have widened, raising questions about equitable wealth distribution and the fairness of economic recovery policies.<\/li>\n\n\n\n
    3. Unequal Burden-Sharing<\/strong>
      In some sectors, company profits have soared more than labour costs, suggesting that the burden of inflation is not being shared equally. This imbalance could stoke social tensions and dampen consumer spending if left unaddressed.<\/li>\n<\/ol>\n\n\n\n

      AI Likely to Significantly Impact Jobs<\/strong><\/p>\n\n\n\n

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      1. Why Now?<\/strong>
        The cost of computing is falling, AI skills are spreading through new training programs, and generative AI technologies\u2014like ChatGPT\u2014are making headlines. These factors suggest that we may be on the threshold of an \u201cAI revolution,\u201d akin to earlier waves of automation but potentially broader in scope.<\/li>\n\n\n\n
      2. Who is at Risk?<\/strong>
        Previous estimates from the OECD<\/strong> suggest that around 27% of jobs are at high risk of automation when considering AI and other advanced technologies. While repetitive or routine tasks are most vulnerable, the \u201cAI wave\u201d might also disrupt creative and analytical roles once thought immune to automation.<\/li>\n\n\n\n
      3. New Opportunities<\/strong>
        Reports from McKinsey & Company<\/strong> and the World Economic Forum (WEF)<\/strong> emphasize that AI can also create new industries, products, and job categories\u2014ranging from data science and machine learning engineering to AI ethics and compliance. However, realizing these opportunities requires robust education and training ecosystems.<\/li>\n\n\n\n
      4. OECD and Beyond<\/strong>\n