Employers globally are spending significant resources on artificial intelligence (AI), which is rapidly changing how things get done. As more companies embrace AI, the types of employees they want to hire are also changing.
Employers, especially companies, are increasingly prioritizing AI investment over traditional hiring. As far as upper management is concerned, AI is a productivity and efficiency tool.
The big question in the back of many people’s minds, especially those entering the job market for the first time, is what AI’s long-term impact may be on employment. Will artificial intelligence replace current employees or job functions, and if so, will it become more difficult to find a job?
Some employers, including well-known companies such as Microsoft, Meta, IBM, Intuit, and Salesforce, have announced major workforce reductions after adopting AI in their operations.
Investors and the economic environment
Lawmakers, C-suite executives, and investors are closely watching AI spending across industries. If one company spent, for example, $20 million on AI, while a similar-sized competitor invested $40 million, the directors will urgently try to find out why there is such a big difference. Have they missed out on a major development or achieved the same advancement at half the cost?
The domestic and global business environment today changes significantly faster than it used to. Making long-term decisions in a rapidly changing market is no easy task. In the twentieth century, business leaders could often make more reliable medium- and long-term forecasts by analyzing historical patterns and trends.
The wars in Ukraine and Iran, trade tariffs, supply-chain disruptions, rising energy costs, growing government debt, and uncertainty surrounding US policy have made investors and business leaders increasingly cautious and risk-averse.
When economic conditions are uncertain, businesses tend to seek productivity gains. AI can help improve a company’s productivity. Productivity refers to the amount of output produced per worker per hour, day, week, month, or other period. Imagine that each worker in a shirt factory produces an average of 7 shirts per day. After introducing AI, each worker produces 14 shirts per day—productivity has doubled, increasing by 100%.
AI adoption acceleration
AI adoption is accelerating across all sectors of the economy, especially technology, finance, and services. AI is being embraced in a big way in the public sector as government departments and public services try to meet growing demand with limited resources.
If your budget cannot keep up with growing demand, increasing productivity with AI may help narrow the gap.
In England, for example, the National Health Service (NHS), which provides free universal healthcare, conducted a large AI pilot involving thousands of healthcare professionals. Users saved an average of 43 minutes per day by reducing administrative work, allowing them to care for more patients. The NHS and Microsoft stated that their goals included increasing productivity, reducing costs, and improving patient care.
AI and job reductions
A recent report by Challenger, Gray & Christmas, a global outplacement and executive coaching firm, found that AI has been linked to a growing number of planned layoffs in the United States.
According to the report:
“AI has been cited in 87,714 cuts, or 22% of all 2026 layoffs (from January to May), already far surpassing the 54,836 attributed to the reason in all of 2025.”
So far, the jobpocalypse (mass unemployment) that many have predicted has not materialized. That does not mean that it won’t come. History has shown us that when a major technological milestone occurs, such as during the Industrial Revolution, some jobs are lost while new ones emerge. There will probably be many new jobs created after the implementation of artificial intelligence—whether they will be enough to make up for the job losses remains to be seen.
