The U.S. job market is experiencing a gradual slowdown, with the unemployment rate rising to 4.36% in October 2025, according to estimates from the Chicago Federal Reserve. Despite an increase in layoff announcements, initial unemployment claims remain low at 229,000, indicating some stability. Major companies like Amazon, UPS, and Target have announced significant job cuts, but studies suggest these layoffs are not primarily driven by artificial intelligence (AI) advancements. Instead, financial pressures and a lack of productivity gains from AI are cited as the main factors, with 96% of businesses reporting no significant efficiency improvements from AI implementations.
Trust in generative AI is growing, with 48% of respondents expressing complete trust in these systems, compared to only 18% for traditional AI. However, only 40% of organizations are investing in governance and ethical safeguards, raising concerns about complacency rather than genuine trust. Gartner predicts that by 2026, half of companies will require AI-free critical thinking skills assessments, reflecting a growing dependency on AI. Additionally, a trend of rehiring laid-off employees suggests that the anticipated efficiency gains from AI may not be materializing as expected.
The episode also highlights the transition of small and medium-sized businesses (SMBs) to AI-powered personal computers, driven more by the end of Windows 10 support than by a desire for AI features. Over 60% of SMBs prioritize performance, reliability, and security in their purchasing decisions. Managed service providers (MSPs) are positioned as essential partners in guiding these businesses through the upgrade process, especially as hiring slows and automation becomes more critical.
For MSPs and IT service leaders, the key takeaway is to focus on delivering tangible value rather than succumbing to AI hype. As companies seek reliable solutions amidst economic uncertainties, MSPs can capitalize on the opportunity to provide guidance on effective technology implementations, compliance, and governance. The evolving landscape underscores the importance of building trust through measurable results and strategic partnerships, particularly as hyperscalers like Google and AWS enhance their AI infrastructure capabilities.
Four things to know today
00:00 Everyone’s Blaming AI for Layoffs — But the Real Problem Is Old-Fashioned Economics
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