Tech expert Larry Ward has been a prominent voice in the ongoing debate surrounding perceived ideological bias in Artificial Intelligence, a sentiment amplified by a recent tweet from The Post Millennial. Ward's advocacy for unbiased AI systems culminated in the signing of an executive order by former President Donald Trump on July 23, 2025, aimed at ensuring neutrality in federal AI procurement. The order, titled "Preventing Woke AI in the Federal Government," mandates that AI systems utilized by federal agencies adhere to strict "truth-seeking" and "ideological neutrality" principles.
Larry Ward, founder of Market Rithm and President of Political Media Inc., has consistently argued that current AI models are predominantly trained on content that systematically excludes conservative viewpoints. He contends that AI companies often pay mainstream or liberal organizations for training data, neglecting conservative publications. According to the tweet from The Post Millennial, Ward has been vocal on "how to end the plague of woke Ai."
The executive order directly addresses these concerns by creating incentives for developers to produce AI models free from partisan bias. Ward, who has spent decades building technology infrastructure for conservative media, noted that the order targets the core problem of AI systems being trained to serve ideology rather than truth. This move signifies a significant policy shift aimed at shaping the technological infrastructure of the government.
The debate over "woke AI" extends beyond government policy, impacting major tech companies and their AI products. Concerns about AI bias have been raised regarding platforms like Google's Gemini and Elon Musk's Grok, which have faced criticism for perceived liberal leanings or problematic outputs. The Trump administration's executive order is expected to influence how AI companies develop and market their systems, particularly those seeking lucrative government contracts.
This development underscores a growing demand for transparency and fairness in AI algorithms, pushing for models that reflect a broader spectrum of human thought. The mandate for ideological neutrality in federal AI systems sets a precedent for future AI development and procurement, potentially leading to a re-evaluation of training data and ethical guidelines across the industry.