AI Added ‘Basically Zero’ to US Economic Growth Last Year, Goldman Sachs Says https://gizmodo.com/ai-added-basically-zero-to-us-economic-growth-last-year-goldman-sachs-says-2000725380 😂😂😂

So far AI has done more damage than adding any true value to productivty unless you consider the following as plus points:

* Getting staff fired
* Stealing journalist, book authors, or artists’ work
* Environment impact
* Hallucinations that caused harm and loss of life
* Creating undressing images of minors and woman
* The list list endless and you have to be psychopaths to like this

AI Added 'Basically Zero' to US Economic Growth Last Year, Goldman Sachs Says

Imported chips and hardware mean the AI investments are translating into US GDP growth.

Gizmodo

@nixCraft And if you don't trust Goldman Sachs, maybe you believe 6000 executives from the US, UK, Germany and Australia a little bit more. From the study:

> "Third, the impact of AI on firm employment and productivity has been small so far. On average, more than 90% of business managers across the four countries estimate no impact of AI on their employment over the past three years. 89% report no impact of AI on their labor productivity over the last three years."

https://fortune.com/2026/02/17/ai-productivity-paradox-ceo-study-robert-solow-information-technology-age/

Thousands of CEOs just admitted AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago

“You can see the computer age everywhere but in the productivity statistics," economist and Nobel laureate Robert Solow said in 1987.

Fortune

@fnwbr Of course they wouldn't admit this shit actually had BIG impact on their employment… They used it as an excuse to fire people massively, expecting their profit to skyrocket "because the AI will do their job faster"… Fucking clowns

@nixCraft

@fnwbr @nixCraft Although other parts of the article quote analysts being cautiously positive about its impact on productivity in the most recent quarter and the general thrust seems to be that significant productivity gains may be more in the longer rather than shorter term. I’m not a lover of AI, but that is what the Fortune article is saying.

@wiletha @fnwbr @nixCraft

Those analysts are just hedging their bets and mostly just parroting the slop-machine companies' PR.

The supposed productivity and economic benefits are always "next year", "in two years" or "in three years" but they've been saying the same thing every year for four or five years now, and it never gets any closer, and never will, because LLM flaws are inherent - more data and compute fixes nothing.