Elon Musk has conceded that his initial efforts to foster an open-source alternative to corporate AI dominance inadvertently accelerated the global artificial intelligence race. In a recent interview with The Economist, the xAI founder reflected on his role in establishing OpenAI, explaining that the initiative was originally designed as a counterweight to Google near-monopoly on machine learning research. Instead of balancing the field, Musk observed that the subsequent evolution of OpenAI and the emergence of rivals like Anthropic have collectively intensified development timelines, producing knock-on effects that contradict his original safety-focused intentions. The commentary follows a recent federal court ruling in Oakland, California, where a judge dismissed Musk 150 billion lawsuit against OpenAI, CEO Sam Altman, and corporate partners including Microsoft. Musk had alleged the organization abandoned its founding nonprofit mission in favor of commercial profit. The jury previously determined the claims were barred by the statute of limitations, though Musk has indicated plans to appeal the decision. During the same discussion, Musk addressed the corporate fractures that led to the creation of Anthropic. He attributed the spin-off to internal distrust of Altman, stating that the founding team departed largely because of leadership concerns. Musk praised Anthropic CEO Dario Amodei as a principled executive genuinely focused on long-term technological governance. Despite personal and legal tensions with industry peers, Musk argued that competitive firms share a mutual interest in establishing robust safety protocols. He proposed that rival companies could collaborate informally by reviewing each other newly released models, allowing technical experts to identify and flag potential hazards before public deployment. According to Musk, this peer-review mechanism would naturally keep developers accountable. He cautioned, however, that industry self-regulation requires a regulatory backstop, noting that government intervention remains necessary if companies systematically ignore emerging risks. The remarks highlight a shifting dynamic within the artificial intelligence sector, where early advocates of open research acknowledge that competitive market forces have driven unprecedented development speeds. While Musk concedes that structural industry expansion has accelerated AI capabilities beyond initial projections, he maintains that coordinated oversight, combining corporate transparency and regulatory action, will be essential to managing the systemic risks of increasingly powerful systems.