
The AI Era: The Complete Series Guide
One page that lists every post in The AI Era series, grouped by theme, with a short method for checking any AI claim yourself.
By Faisal Adnan
Faisal Adnan · 05 Nov 2026

Hearing that "AI is taking jobs" is easy. Knowing what that means is harder. This post looks at one of the best sources for the layoff numbers, then at how companies describe their cuts, and then at how to read all of it with a clear head.
Key takeaways
The outplacement firm Challenger, Gray and Christmas tracks announced US job cuts and the reasons companies give. According to its August 2026 report, cuts attributed to AI were 116,175 from January to August 2026. All of 2025 was 54,700. So in eight months the total has more than doubled, and AI accounts for roughly 22% of all announced cuts this year. CBS News reported that 2025 itself saw more than 1.1 million announced cuts through November, the most since 2020.
Klarna replaced around 700 customer service agents with AI, then saw quality drop and brought humans back. Bloomberg reported in May 2025 that its CEO said the push for cost-cutting had gone too far.
It is a reminder that replacing people is easy to announce and hard to do well.
Some "AI layoffs" are cost-cutting to pay for AI spending, not replacement of workers by AI. Microsoft and Intuit said their cuts were not AI replacement. When a company says "AI", ask whether a tool is doing the job or whether the budget is moving to data centres. A list of the biggest 2026 tech layoffs from Nairametrics shows more than 76,000 jobs affected by July among the ten largest.
Layoff headlines are loud, but they hide a quieter shift: fewer entry-level roles. That is the subject of the next post, The Door That's Closing First.
See the complete AI Era series

Written by Faisal Adnan
Business Intelligence and AI mentor. I teach Data Analytics, Power BI, Microsoft Fabric, SQL, Python and applied AI, and write about what is changing and what it means for your career.

Written by
Faisal Adnan is a data analytics and AI mentor from Pakistan. He teaches Power BI, Microsoft Fabric, machine learning and applied AI through live classes and 1-on-1 mentorship, and writes in plain language so students and working professionals can follow where AI is heading and what to learn next.

One page that lists every post in The AI Era series, grouped by theme, with a short method for checking any AI claim yourself.
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