This is the cycle of co-option that takes place with any career that becomes profitable.
A lot of people don’t realize that computers and programming in general were seen as “women’s work” or “nerd shit” until especially the dotcom boom, and career women and nerds (of all genders) were displaced in favor of MBA-bros who the VCs and CEOs didn’t disdain (not by being forced out, but by not being given the jobs and funding; the “paper ceiling” is often used for this).
Machine learning and crypto were also relegated to being “nerd shit” in their nascent years, and now look who populates those particular spaces: non-technical MBA-bros and snake oil salesmen trying to cash in on the hype (and building on the uncompensated work of others… in machine learning’s case, quite literally so).
This is the cycle of co-option that takes place with any career that becomes profitable.
A lot of people don’t realize that computers and programming in general were seen as “women’s work” or “nerd shit” until especially the dotcom boom, and career women and nerds (of all genders) were displaced in favor of MBA-bros who the VCs and CEOs didn’t disdain (not by being forced out, but by not being given the jobs and funding; the “paper ceiling” is often used for this).
Machine learning and crypto were also relegated to being “nerd shit” in their nascent years, and now look who populates those particular spaces: non-technical MBA-bros and snake oil salesmen trying to cash in on the hype (and building on the uncompensated work of others… in machine learning’s case, quite literally so).