[toomuchtodo]

95 per cent of organisations are getting zero return from AI according to MIT - https://news.ycombinator.com/item?id=44956648 - August 2025

State of AI in Business 2025 [pdf] - https://news.ycombinator.com/item?id=44941374 - August 2025

https://web.archive.org/web/20250818145714/https://nanda.med...

> Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. The outcomes are so starkly divided across both buyers (enterprises, mid-market, SMBs) and builders (startups, vendors, consultancies) that we call it the GenAI Divide. Just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact. This divide does not seem to be driven by model quality or regulation, but seems to be determined by approach.

[namnnumbr]

This is not new - the quote was "87% of data science projects fail" in 2019.

https://venturebeat.com/ai/why-do-87-of-data-science-project...

[naasking]

GenAI is barely out of the research phase and is only now being fine-tuned for specific applications. Check back in 3 years.

[rightbyte]

Hasn't e.g. Deepseek been releasing special coder llms for like two years now?

[naasking]

That's still cutting edge research, not a polished product for a well understood domain. These are like the first steam engines, not a Ferrari.