Trump's tech advisor has advice for AI companies worried they're building unsafe models

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-20T18:30:13.343Z • Permanent link

President Donald Trump's tech advisor, Andy Puzder, has sparked controversy by suggesting that artificial intelligence companies can slow down development of their products whenever they want. Puzder, who served as the director of the National Economic Council from 2017 to 2018, made the comment in a recent interview, implying that companies have the power to voluntarily slow down their AI development pace. However, this stance has been met with criticism from industry experts, who argue that it does not address the growing concerns about the safety and reliability of AI systems.

Puzder's comments come as AI companies such as Google, Facebook, and Amazon have been pushing for more regulation of their own products to ensure safety. These companies have faced scrutiny over issues such as bias in their algorithms and the potential for AI systems to be used for malicious purposes. In response, Puzder's suggestion that companies can slow down development at will has been seen as insufficient, and many experts have called for more concrete action to address the growing concerns about AI safety.

The US government has been slow to respond to the growing concerns about AI safety, with many experts arguing that more needs to be done to address the issue. In 2019, the US Congress passed the National Artificial Intelligence Initiative Act, which aimed to promote the development and deployment of AI in the US. However, the act has been criticized for its lack of specificity and its failure to address the growing concerns about AI safety.

The suggestion that AI companies can slow down development at will has significant implications for the data sources domain. Companies such as Google and Facebook have been building massive datasets that are used to train AI models, and these datasets are often sourced from public sources such as social media and online searches. However, these datasets are often biased and incomplete, which can lead to AI models that are not representative of the broader population.

The lack of regulation in the data sources domain has also led to concerns about data privacy and security. Companies such as Google and Facebook have faced criticism over their handling of user data, and there have been numerous high-profile breaches of data that have exposed sensitive information. The lack of regulation in this area has also led to concerns about the potential for AI systems to be used for malicious purposes, such as surveillance and censorship.

The growing concerns about AI safety have also led to a shift in the research community, with many experts calling for more concrete action to address the issue. In 2020, a group of leading AI researchers published a paper calling for more regulation of AI development, citing concerns about the potential for AI systems to be used for malicious purposes. The paper was widely cited and sparked a heated debate in the research community, with many experts arguing that more needs to be done to address the growing concerns about AI safety.