Goldman Sachs Used AI as Cover for Mass Layoffs. Here's Why That's Terrifying.
Goldman Sachs' recent memo about AI-driven restructuring isn't an outlier. It's the blueprint for how tech companies are weaponising AI hype to justify cuts they were planning anyway.
Let's be brutally honest: firing your engineers to buy more API credits doesn't create business value. It shifts capital from internal payroll to AWS, Azure, and NVIDIA. The workers lose jobs. The company gains zero competitive advantage. Most enterprises don't even have clean data pipelines to make these models useful.
The trillion dollar smokescreen
Over the past few years, tech overhired aggressively. Now AI is the perfect narrative cover for restructuring. Goldman predicts another wave of layoffs in 2026, with 60% of companies already cutting headcount or freezing hiring "in anticipation" of AI gains.
But here's the gap: AI-related layoffs hit 15% of total cuts in Q3 2025, yet Forbes reports enterprises struggle to measure actual ROI. Gartner predicts 30% of GenAI projects will be abandoned after proof-of-concept. The math doesn't add up unless you realise this was never about productivity.
Who actually profits?
The hyperscalers. Cloud providers and chip makers are printing money while companies gut their technical teams. Goldman Sachs' own research admits: "too much spend, too little benefit." Yet the cuts continue.
From an architectural perspective, this is catastrophic. Replace your engineering team with language models and you destroy your human auditing layer. LLMs generate syntax, but they can't take legal responsibility. When you cut the staff who architect, validate, and secure output, you're trading governance for automated liability.
Over eight years in the industry, I've seen what happens when you remove oversight: systems collapse under their own weight.
The slow collapse
This doesn't happen overnight. First, survivors pick up the work of those who were cut. They get overworked and undervalued. Eventually, they leave too, willingly this time. The company is left with neither human expertise nor functional AI systems.
Don't misunderstand: AI isn't inherently bad. It's a powerful tool. But it's just that, a tool. Not a replacement for senior oversight or architectural knowledge. We're still figuring out operational boundaries, security implications, and compliance frameworks.
Treating AI as a direct swap for human experience is reckless management driven by FOMO. Fear of being left behind.
Who got left behind?
The workers who built the foundations these companies profit from. Some will remember this era as the time companies thought firing people under the guise of AI would go unnoticed.
We're in a massive bubble. More people are catching on to the fact that unchecked hype has inflated valuations completely devoid of business value. Layoffs.fyi tracks the carnage. ENISA flags security concerns. The future belongs to those who govern systems, not those who blindly trust generated output.
It's time we hold the industry accountable for a narrative that enriches a few at the expense of workers who actually built the tech.
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