Posted by Natalie

Nikhil Suresh
Nikhil Suresh posted on ludic.mataroa.blog

AI Mania is Eviscerating Global Decision-Making

Over the past year, I’ve run point on all of our company’s sales, led the technical components of all but two of our engagements, and over the lifetime of this blog have had something like 300 catchups with professionals from around the world. This has ranged from people on the ground in niche service industries to executives at Fortune 500 companies1. Because of this, I've had a front-row view to our collective institutions across both the private and public sector undergoing breath-taking mass psychosis. This essay is an attempt to describe the bizarre dynamics that are currently at play, as I am in the rare position where my wellbeing is not contingent on paying lip service to madness, and to reassure the people trying to survive amidst all of this that they are not crazy.

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It has become outright dangerous to even raise the possibility that AI might not be the solution to a problem, let alone be the sole focus of a company’s entire strategy.

In every sufficiently large business we have observed (say, with 500+ employees), we have noted that continued advancement, and increasingly continued employment, has started to require repeated professions of belief in the transformative power of AI for said business. I am not talking about providing ideas about how to use AI in the business – I mean religious profession, declarations of faith. Overwhelmingly these statements are made by non-technicians, though it is not uncommon for technicians to emit deranged statements to curry favour.

I don't love all of Suresh's framings around LLMs[1], but I do appreciate that his closer exposure to them has given him the perspective to write this piece. This matches my experience very closely. I've so far managed to avoid participating in the false zealotry he describes, but I'm not sure how much longer I can manage it. My colleagues have not. I can hardly blame them.

Meanwhile, it's extremely clear to anyone who hasn't succumbed to the reality distortion field that this monomania is completely corrosive to the organization. Suresh documents the realities of this corrosion, although I imagine most people reading this have seen it in one or another aspects of their lives.

Personally, I'm just doing my best to grit my teeth and try to do good work as best I can, both professionally and personally, until we get back to a point where the managerial consensus is once again that "quality" is a real thing that exists. Until then, I suffer.


  1. I feel that a hard-line zero-tolerance standpoint is necessary due to the myriad negative externalities and the strong tendency for "well I can see it being a bit useful for X" being taken in bad faith as a broad license to use it "where it makes sense". Even in cases where they're not strictly enforceable, zero tolerance policies establish a culture and enable enforcement of at least egregious offenses. ↩︎

I don't love all of Suresh's framings around LLMs[1], but I do appreciate that his closer exposure to them has given him the perspective to write this piece. This matches my experience very closely. I've so far managed to avoid participating in the false zealotry he describes, but I'm not sure how much longer I can manage it. My colleagues have not. I can hardly blame them.

Meanwhile, it's extremely clear to anyone who hasn't succumbed to the reality distortion field that this monomania is completely corrosive to the organization. Suresh documents the realities of this corrosion, although I imagine most people reading this have seen it in one or another aspects of their lives.

Personally, I'm just doing my best to grit my teeth and try to do good work as best I can, both professionally and personally, until we get back to a point where the managerial consensus is once again that "quality" is a real thing that exists. Until then, I suffer.


  1. I feel that a hard-line zero-tolerance standpoint is necessary due to the myriad negative externalities and the strong tendency for "well I can see it being a bit useful for X" being taken in bad faith as a broad license to use it "where it makes sense". Even in cases where they're not strictly enforceable, zero tolerance policies establish a culture and enable enforcement of at least egregious offenses. ↩︎

  1. so-called ai

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