AI Leads to Layoffs? Research Shows AI Is More Expensive Than the People It Replaces

marsbitPubblicato 2026-06-09Pubblicato ultima volta 2026-06-09

Introduzione

Title: AI Layoffs? Research Shows AI is More Expensive Than the Workers It Replaces. This year, nearly 50,000 employees have been laid off due to AI, with companies initially believing AI could replace human jobs. However, recent findings indicate that the actual operational costs of AI often exceed the expense of the human labor it was meant to replace. Examples include Uber exhausting its annual AI budget in just four months, Microsoft cutting Claude Code licenses due to high costs, and an Anthropic employee incurring $150,000 in API usage in a single month. A CloudZero survey reveals that 45% of enterprises spend over $100,000 monthly on AI, yet only 8% of S&P 500 companies report any AI-related revenue, and half struggle to measure ROI. Analyst Scott Galloway predicts a shift toward cheaper Chinese AI models, which are 10 to 30 times more affordable than American counterparts. Data shows Chinese models' usage among developers surged from 1% in 2024 to over 60% by mid-2026, with 80% of U.S. AI startups adopting them. This trend may prompt regulatory responses, such as potential restrictions from the Trump administration.

Authors: Scott Galloway / Ed Elson / Mia Silverio

Translation: TechFlow

TechFlow Introduction: Nearly 50,000 people have been laid off this year due to AI, but more and more companies are finding that the cost of using AI is higher than human labor. Uber burned through its entire 2026 AI budget in four months, Microsoft is cutting Claude Code licenses in multiple departments, and an Anthropic employee used up $150,000 in API credits in a single month. Scott Galloway believes companies will ultimately turn to Chinese large language models that are 10-30 times cheaper, which will force Trump to impose restrictions.

Is AI More Expensive Than the People It Replaces?

Nearly 50,000 employees have been laid off this year, citing AI as the reason. This figure nearly equals the total for all of 2025. For companies adopting AI, the logic is simple: AI can do the jobs people do.

But in recent weeks, this logic has hit a wall. More and more companies are discovering that the actual cost of using AI is higher than the human labor it is intended to replace.

Figure: The AI Cost Shock for Businesses – AI spending and cost feedback from companies like Uber, Microsoft, Nvidia, Meta

Uber burned through its entire 2026 AI budget in just four months. The COO said it's becoming increasingly difficult to justify AI expenditures internally. Microsoft is cutting Claude Code licenses in multiple departments for one simple reason: cost.

A Nvidia executive stated that compute costs now "far exceed employee costs." Meta, Pinterest, and Spotify all cited rising inference costs as a drag on margins in their Q1 earnings reports.

How big are corporate AI budgets? A survey by cloud cost management company CloudZero shows that in 2025, 45% of businesses spent over $100,000 per month on AI, up from only 20% the previous year.

An even more extreme case within Anthropic: one employee spent $150,000 on Claude Code in a single month. For that to be financially justifiable, this engineer would need to do the work of 11 average engineers.

In the current market, the performative value of the word "efficiency" has been consistently rewarded, to the point where companies don't even need to actually calculate efficiency. 79% of S&P 500 companies mentioned AI in their recent earnings calls, but only 8% disclosed any AI-related revenue.

Figure: S&P 500 Companies' AI Rhetoric vs. Actual Revenue Disclosure

The same CloudZero report also found that only half

Chinese Large Models Will Be the Biggest Winners

Scott Galloway's judgment is: companies will ultimately turn to the cheapest models, which are Chinese large language models. Chinese models are 10 to 30 times cheaper than American models.

Data is already validating this trend: the share of Chinese models in developer usage surged from about 1% in 2024 to over 60% in May of this year, and 80% of US AI startups are using Chinese open-source AI models.

Figure: Changes in Share of Chinese Large Models in Developer Usage & Usage by US AI Startups

Domande pertinenti

QWhat is the main finding about AI's cost compared to human labor based on the article?

AThe article finds that an increasing number of companies are discovering that the actual operational cost of AI is higher than the cost of the human labor it is intended to replace.

QWhich companies are mentioned as facing significant AI cost challenges?

AUber, Microsoft, Nvidia, Meta, Pinterest, Spotify, and Anthropic are mentioned as companies facing high AI costs or budgetary issues.

QAccording to the article, what percentage of S&P 500 companies disclosed AI-related revenue in their recent earnings calls?

AOnly 8% of S&P 500 companies disclosed any AI-related revenue in their recent earnings calls, despite 79% mentioning AI.

QWhat does Scott Galloway predict will be the solution for companies struggling with high AI costs?

AScott Galloway predicts that companies will eventually turn to cheaper Chinese large language models, which are 10 to 30 times less expensive than American models.

QWhat dramatic increase in usage of Chinese AI models is highlighted in the data presented?

AThe data shows that the share of Chinese models among developers soared from about 1% in 2024 to over 60% by May of the article's year, with 80% of U.S. AI startups using Chinese open-source AI models.

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