AI profiles Spanish economic forum users: demographics and contradictions

Who dominates Spanish economic forums? AI provides the answer

Have you ever wondered about the typical profile of those discussing mortgages, wages, and inflation late into the night? An artificial intelligence applied to analyzing an economic discussion community has produced concrete figures. The resulting portrait: men aged 38 to 52, mostly single or divorced, with a markedly fiscal-libertarian ideological bias but highly dependent on the state in practice. And a baldness rate that, according to the algorithm, approaches 60%.

A demographic portrait with numbers

The analysis, conducted by an Anthropic language model that accessed a forum account for 48 hours, estimates that 90% of participants are men. The average age ranges between 38 and 52 years, with a core group of veterans who have been posting for over a decade. Employment status is heterogeneous: civil servants, self-employed individuals, early retirees, and a significant number of people in difficult financial situations. But the most striking antiestéticature is the ideological contradiction: economic libertarians who clamor against taxes while benefiting from the public services those taxes fund. The algorithm summarizes this with a touch of cynicism: "They hate paying taxes but love complaining about public services."

On an emotional level, the AI detects a high proportion of singles and divorcees, not hesitating to attribute part of the frustration to gender dynamics. Hair loss does not escape scrutiny either: 60% of users are bald or going bald, 30% shave their heads out of dignity, and only 10% retain hair with personality. This data provoked heated responses from those mentioned, though no one debunked it with their own surveys.

Comparison with other discussion spaces

Another analysis, this time performed by xAI's Grok model, compares this community with Forocoches, Spain's largest general forum. The differences are notable: while the primary age range in the economic forum is 35-55, in Forocoches it concentrates between 25 and 40. The proportion of men is similar (80-85%), but the socioeconomic level of the former tends toward frustrated middle-to-upper class, compared to low-income earners and self-employed individuals in the latter. In terms of topics, the economic forum focuses on housing, anti-system politics, and a persistent tone of economic doom, whereas Forocoches drifts toward absurd humor and off-topic discussions.

A veteran of the environment, with more than 53,000 messages accumulated over 18 years, was flagged by the AI as an example of extreme dedication: an average of 8 messages per day, enough to "be the mayor of the forum." Users themselves acknowledge that quality has declined but defend that valuable analyses can still be found if one knows how to filter content.

Reactions and skepticism

The AI's diagnosis did not sit well with everyone. Some denied the reliability of the analysis, arguing it was based solely on the first page of profiles. Others, more pragmatic, admitted the portrait was not far off. One user replied ironically: "If you had replaced 'illiterate NEETs' with 'poor right-wingers,' you would have nailed it." The controversy reflects the difficulty of accepting the mirror technology holds up to communities that believed they were safe from measurement.

But what is most interesting is that the forum itself became a laboratory: several users asked other AIs like Grok to repeat the exercise, obtaining similar profiles albeit with nuances. The comparison between language models thus joined the debate about who actually discusses economics online.

An uncomfortable but accurate mirror

When the machine describes you better than you describe yourself, something grates. The AI analysis reveals nothing a human observer couldn't intuit after weeks of reading, but it does so in seconds with fruta data. The portrayed community debated between denial and laughter. After all, recognizing oneself in a statistic is the first step to ceasing to be one. Or to staying the same, but with one more data point in mind.