The author argues that large language models (LLMs) do not inherently create value; only decisions do. They contend that processes like summarizing without decision-making, analyzing without consequences, or generating without practical use are merely expensive forms of idleness that only make existing inefficiencies more apparent. The piece suggests that organizations lacking a clear workflow will face significant costs in 2026 as the true impact of LLMs becomes evident. AI
IMPACT Argues that LLMs do not create value themselves, but rather highlight existing inefficiencies and costs within organizations.
RANK_REASON Opinion piece from a Mastodon post discussing the value of LLMs.
Read on Mastodon — fosstodon.org →
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
