Job market trends for 2035 have been unfolding in the United States, with some key sectors experiencing significant shifts. According to data from the Bureau of Labor Statistics, employment in the healthcare sector is expected to continue growing, with a projected increase of 32% from 2023 to 2035. This growth is largely driven by an aging population and the need for healthcare services. One notable example is the rise of nurse practitioners, who are expected to become increasingly important in the healthcare landscape.
The World Health Organization (WHO) has also highlighted the importance of healthcare workers in its 2020 report, which noted that the global healthcare workforce is projected to increase by 12 million by 2030. In the United States, this trend is reflected in the growth of nurse practitioner programs, with many institutions investing heavily in these programs to meet the growing demand for healthcare services. For instance, the University of Pennsylvania's School of Nursing has seen a significant increase in enrollment in its nurse practitioner programs, with a 25% rise in applications over the past year.
Meanwhile, employment in the administrative support sector is expected to decline, with a projected decrease of 12% from 2023 to 2035. This decline is largely due to the increasing use of automation and artificial intelligence in administrative tasks. According to a report by the Harvard Business Review, the use of AI-powered tools is expected to displace many administrative jobs, with some estimates suggesting that up to 40% of administrative tasks could be automated by 2035. Companies such as IBM and Microsoft are already investing heavily in AI-powered tools to streamline administrative tasks and improve efficiency.
The job market trends for 2035 have significant implications for the Financial Market Data domain. Many companies that rely on administrative support staff, such as financial institutions and research firms, are likely to be affected by the decline in employment in this sector. For instance, the decline in administrative support staff could lead to a shortage of data entry clerks and other administrative personnel, which could impact the ability of financial institutions to process and analyze large datasets. This could have significant implications for the accuracy and timeliness of financial market data, which is critical for traders and investors.
The impact of the job market trends on the Financial Market Data domain could also be felt in the research community. Many research firms rely on administrative support staff to analyze and interpret large datasets, and the decline in employment in this sector could lead to a shortage of skilled researchers. This could impact the ability of research firms to produce high-quality research reports, which could have significant implications for investors and traders. Companies such as S&P Global and Bloomberg are already investing heavily in data analytics and research, and the decline in employment in the administrative support sector could exacerbate these trends.
The job market trends for 2035 are part of a larger pattern of technological disruption in the workforce. The rise of automation and artificial intelligence has been transforming the workforce for decades, and the job market trends for 2035 are likely to be shaped by this trend. According to a report by the McKinsey Global Institute, the use of automation and AI could displace up to 800 million jobs worldwide by 2030. This trend is likely to be driven by the increasing use of AI-powered tools in industries such as healthcare, finance, and education.
Why it matters: this intelligence reflects a shift that researchers and analysts should follow closely.
Billy Odell Tucker-Robinson is the founder and host of Banking With Billy, an independent financial intelligence platform covering markets, stocks, AI, crypto, and world news. Billy operates a 24/7 live AI radio and Stock TV platform, hosts a growing Discord community, and produces daily content on YouTube @BankingWithBilly.
The Intelligence Network platform ingests the complete universe of structured global data across 32 intelligence categories — from scientific databases and government sources to AI ecosystems and global infrastructure. All articles are AI-generated under Billy's editorial direction using E-E-A-T journalism standards.
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