"Companies that pushed hardest to adopt generative AI are now contending with a problem the technology was supposed to prevent: their work is getting worse. Two articles published by Harvard Business ...
Ehhh... "Garbage In, Garbage Out": What else is new? Basically, a whole lot of nothing ->
"For many tasks, using public LLMs often adds little to no real value. It creates generic prose that often contains mistakes. But the use of proprietary models and/or leveraging proprietary data may well add value. We expect to see many more companies using proprietary small language models (SLMs) or larger models customized on proprietary data to generate insights. And then ChatGPT or Claude can be used simply to change the style and format."
https://hbr.org/2026/06/dont-let-ai-slop-muck-up-your-companys-processes
"For many tasks, using public LLMs often adds little to no real value. It creates generic prose that often contains mistakes. But the use of proprietary models and/or leveraging proprietary data may well add value. We expect to see many more companies using proprietary small language models (SLMs) or larger models customized on proprietary data to generate insights. And then ChatGPT or Claude can be used simply to change the style and format."
https://hbr.org/2026/06/dont-let-ai-slop-muck-up-your-companys-processes