Vicious cycle:<p>1. There is a relatively stable job opening with diversity requirements. The 'diverse' hire is made.<p>2. The 'non-diverse' candidates for the position end up not getting the job. While seemingly inconsequential on its own, this has the effect of 'non-diverse' candidates being over-represented among those who are overqualified for their current position.<p>3. In order to get a more suitable position for their abilities, these 'non-diverse' candidates are forced to work on higher risk projects, maybe lacking the same prestige, as the position in (1).<p>4. Due to their ability, these riskier projects take off. Now the risk was higher, so the reward is commensurately higher.<p>5. As these projects mature and grow and attract more money, they start to have job openings similar to 1.<p>6. Charges of discrimination are made when only 'non-diverse' candidates seemed to have benefited from this novel technology. And likely those same candidates in 2 are now forced out as more jobs like 1 are opened up in the projects they grew in 4. Then the start at step 3 again.<p>Personally, I have absolutely seen this play out with AI. I was in the industry before all the LLM / NVDA buzz. Many people thought it was crazy, a pipe dream, etc. Now... everyone wants in and is retconning their stories to talk about how they always supported it. Give me a break.