Our workplace LLM mass delusion

2 days ago

The author's workplace is experiencing severe budget cuts, including unfilled open positions, canceled employee bonuses, and reduced resources, yet still invests significantly in AI initiatives.
AI adoption at the workplace includes hiring consultants, paying for LLM workshops, and licensing ChatGPT and Copilot, which the author views as funds misdirected from employee support to 'grifters and security risks.'
Recurring meetings showcase failed AI projects; despite enthusiasm and varied attempts, no successful implementations were reported, with issues like inefficiency, over-complication, and output unreliability.
General AI use cases presented include trivial applications like asking ChatGPT about its feelings or summarizing a cafeteria menu, which the author criticizes as wasteful and impractical.
The author argues that AI amplifies the Dunning-Kruger effect, leading to unwarranted hype and justification for mundane tasks, while diverting attention from real workplace needs and problems.
The rapid adoption of AI, despite usual organizational sluggishness, reveals that leadership can implement changes quickly when motivated, which shatters employee trust in institutional processes.
The post expresses concern about collective recovery from this 'mass delusion,' likening it to a second Covid, and warns against denying such experiences in workplaces where AI hype prevails.

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