The ongoing government shutdown is obscuring important economic data, with the Labor Department’s monthly jobs report being the first casualty. This report was expected to provide critical insights into a cooling job market, rising unemployment, and inflation trends, which are increasingly concerning for policymakers. Economist Erica Groshen noted the significance of missing this data at such a critical time, stating, “We are flying blind right as the economy could be turning.” The September jobs report was anticipated to reveal significant shifts, particularly as employment at private companies saw a notable decline of 32,000, the largest drop in over two years. Furthermore, the Federal Reserve faces challenges in making informed decisions regarding interest rates due to the lack of updated economic figures, raising concerns about the potential long-term impact of the shutdown on economic growth and employment rates.
A recent study from Yale University indicates that generative artificial intelligence, including tools like ChatGPT, has not significantly disrupted the job market yet, despite widespread speculation. Researchers found that in the 33 months following ChatGPT’s launch, the change in the occupational mix was slightly higher than previous technological shifts, but only by less than one percentage point. The study highlighted that sectors such as financial services, information, and professional services are more affected by generative AI. The information sector alone experienced nearly a 14 percent change in employment mix since November 2022. However, the researchers caution that these trends began prior to the launch of ChatGPT and may not be solely attributable to the technology. Overall, they conclude that while generative AI has the potential to be transformative, it is too early to assess its long-term effects on employment.
Despite fears of job losses due to artificial intelligence, hiring in the tech sector remains steady. According to a survey by ManpowerGroup, 48 percent of tech employers globally plan to hire this quarter, with a notable 58 percent in the United States. The demand for skills related to artificial intelligence, such as Python and project management, is driving this trend. Notably, 24 percent of employers are specifically hiring to keep pace with digital advancements, while challenges persist in finding qualified talent to meet growing technology needs.
An article in Gizmodo argues that artificial intelligence is not the primary cause of job losses in the United States; rather, it cites the policies of the Trump administration as the main contributor to economic uncertainty and job cuts. Research from the Yale Budget Lab indicates that AI has not significantly displaced workers, with only about 20,000 job cuts attributed to automation and AI this year, while nearly 300,000 layoffs have been linked to direct government actions and economic conditions influenced by Trump’s policies. In September 2025, private sector employers announced the elimination of 32,000 jobs, marking a troubling trend in the labor market. Outplacement firm Challenger, Gray and Christmas reported that job cut announcements reached 117,313 in September, a stark 71 percent decline from the previous year. As the job market struggles, the Trump administration’s immigration policies and new fees for foreign labor are creating additional challenges for employers seeking skilled workers, further complicating an already strained economic landscape.
Why do we care?
So here’s what’s going on—we’re in the middle of a government shutdown, and that means the Labor Department’s jobs report is on ice. That’s a big deal. The economy’s cooling off, unemployment’s ticking up, and the Fed? They’re flying blind. When the data stops flowing, bad decisions start happening.
Now, about AI—Yale says generative AI hasn’t really hit the job market yet. Less than a one-percent change in job mix. That’s noise, not revolution. Sure, it’s moving faster in sectors like information and finance, but the idea that ChatGPT killed jobs? Not yet.
Meanwhile, tech hiring’s still hot. Nearly 60% of U.S. tech employers are adding headcount, mostly for AI-related roles—Python, project management, that kind of thing.
And here’s the twist—AI isn’t the big job killer. Policy is. The Yale Budget Lab says only twenty thousand jobs have been lost to automation this year. Three hundred thousand came from government actions and economic conditions tied to Trump-era policies.
So if you’re an MSP, stop waiting for AI to blow up the labor market. The real risk is uncertainty—economic, political, regulatory. Your clients need clarity, not hype. Sell stability. Offer insight. Be the partner that helps them see through the fog.