AI speak is taking over everyday conversation: status signal or just posing?
Verbalizing, choosing, noise: AI language is creeping into daily life. An analysis of a phenomenon caught between posturing and the search for status.
English · Original discussion in Spanish · Published
AI jargon is creeping into everyday conversations: passing fad or status symbol?
First it was 'like', then 'dude, mind-blown'. Now comes 'verbalizing', 'choosing' and above all that 'noise' people drop even in a café. AI language is no longer just for techies: it has become the aspirational jargon of those who want to sound deep without really saying much.
From self-help to consulting: the journey of 'verbalizing' and 'noise'
'Verbalizing' came out of coaching and armchair psychology. 'Choosing' in personal relationships sounds like it came straight from an HR manual. And 'noise' – that catch-all concept for everything that bothers us – is the heir to new age mantras. The perfect cocktail for seeming like you've read Deepak Chopra when in reality you've only watched three TikTok videos.
Those who use it are seeking belonging. It's no different from what peine in the nineties with the slang of the Madrid movida or in the two thousands with the filler phrases from American TV shows. The novelty is that AI now provides the framework: terms that sound technical but that anyone with no training can drop with an enlightened look on their face.
The snobbery of the new vocabulary
The curious thing is that these expressions don't come from any real knowledge of artificial intelligence, but from a desire for cheap sophistication. The person who says 'that's just noise' probably has no idea how a transformer works. But they say it anyway, because it sounds good and because others say it.
The harshest critics see in this phenomenon just another generational silliness, comparable to 'what the hell' imported from dubbed movies. Others blame the influence of self-help and digital 'coaching'. The thread makes it clear that the irritation cuts across the board: regardless of age, the new jargon is only going to grow.
The prediction is simple: this linguistic fad will pass when the next one arrives – perhaps 'tokenizing' or 'training the algorithm'. But in the meantime, the noise will keep on being served.
First it was 'like', then 'dude, mind-blown'. Now comes 'verbalizing', 'choosing' and above all that 'noise' people drop even in a café. AI language is no longer just for techies: it has become the aspirational jargon of those who want to sound deep without really saying much.
From self-help to consulting: the journey of 'verbalizing' and 'noise'
'Verbalizing' came out of coaching and armchair psychology. 'Choosing' in personal relationships sounds like it came straight from an HR manual. And 'noise' – that catch-all concept for everything that bothers us – is the heir to new age mantras. The perfect cocktail for seeming like you've read Deepak Chopra when in reality you've only watched three TikTok videos.
Those who use it are seeking belonging. It's no different from what peine in the nineties with the slang of the Madrid movida or in the two thousands with the filler phrases from American TV shows. The novelty is that AI now provides the framework: terms that sound technical but that anyone with no training can drop with an enlightened look on their face.
The snobbery of the new vocabulary
The curious thing is that these expressions don't come from any real knowledge of artificial intelligence, but from a desire for cheap sophistication. The person who says 'that's just noise' probably has no idea how a transformer works. But they say it anyway, because it sounds good and because others say it.
The harshest critics see in this phenomenon just another generational silliness, comparable to 'what the hell' imported from dubbed movies. Others blame the influence of self-help and digital 'coaching'. The thread makes it clear that the irritation cuts across the board: regardless of age, the new jargon is only going to grow.
The prediction is simple: this linguistic fad will pass when the next one arrives – perhaps 'tokenizing' or 'training the algorithm'. But in the meantime, the noise will keep on being served.
Also available in: Deutsch
Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (20 replies).
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