Engineering managers ditch cloud AI for local LLMs

Estimated reading time: 3 minutes

Key takeaways:

• Local LLMs have crossed a credibility threshold. When the engineer whose work underpins local inference says he’s using a 27B model as his daily coding driver, that’s a signal worth taking seriously.
• Local LLMs are already good enough for the boring-but-useful stuff where paying for frontier inference is overkill.
• The “expensive licence or no AI” binary is breaking down: local LLMs offer a third path.

Between rising costs, tighter token limits, and the whims of a US President willing to flick the switch on availability for frontier models, engineering managers are facing Hobson’s choice.

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