A tax would raise the cost of AI experimentation, forcing firms to prioritize safe, efficiency-focused projects over speculative R&D. This 'known ROI bias' would hamper the discovery of transformative AI applications and entrench incumbents who can better absorb experimentation costs.

The administration justifies cutting research funds by arguing capital was misallocated. Citing a Senate analysis, Trump's Science Chief claims roughly a quarter of National Science Foundation grants under Biden, totaling $8 billion, went to DEI-related initiatives which he argues is not 'gold standard science.'

Traditional DEI has become ineffective and can cause accidental racism. A better approach to affirmative action is an 'adversity score.' This would help individuals from genuinely disadvantaged backgrounds—like a white kid in Appalachia with an incarcerated father—rather than the privileged children of successful minorities.

An academic consultant publicly attacked Eric Kaufman's DEI report, making easily falsifiable claims about its methodology without having read it. This reaction highlights how deeply entrenched DEI ideology is within academia, where supporters may resort to ad hominem attacks rather than engaging with data that challenges their worldview.

A policy at Stanford offering advantages like extra time for disabled students has resulted in half the student body claiming disability status. This illustrates how well-intentioned policies can create perverse incentives that undermine meritocracy.

Academic institutions will not self-reform their DEI and social justice policies. Change only occurs when forced by external political pressure, as seen in the US where executive action caused a drop in DEI initiatives. In Canada and the UK, where this pressure is absent, such initiatives continue to expand unchecked.

While commercial conflicts of interest are heavily scrutinized, the pressure on academics to produce positive results to secure their next large institutional grant is often overlooked. This intense pressure to publish favorably creates a significant, less-acknowledged form of research bias.

A key flaw in academic equity programs is the assumption that demographic underrepresentation is definitive proof of discrimination. Critics argue this approach fails to rigorously analyze the "pipeline" of qualified candidates and ignores other factors explaining disparities, leading to the de facto implementation of quotas rather than addressing root causes.

Unlike US affirmative action which often disadvantages Asian applicants, Canada's system groups them under the broad "racialized" category. This allows high-performing Asian scholars to qualify for equity-targeted positions. This structural difference prevents the kind of political and legal backlash from Asian communities that has been pivotal in challenging DEI policies in the US.