According to Andrew Ng on Twitter, during discussions at the World Economic Forum (WEF) in Davos, Switzerland, many CEOs emphasized the need for businesses to shift from using AI solely for incremental efficiency improvements to achieving transformative impact and growth. Ng highlights that successful companies are investing in strategic AI initiatives that drive innovation, create new business models, and unlock fresh revenue streams, rather than focusing only on cost reduction. This approach enables organizations to harness AI for competitive differentiation and long-term market leadership, as cited directly from his WEF conversations (source: Andrew Ng, Twitter, Jan 23, 2026).

According to Greg Brockman (@gdb), iteration speed is a superpower in AI development (source: Twitter, Oct 2, 2025). In the AI industry, rapid iteration enables teams to quickly test, deploy, and refine machine learning models, significantly reducing time-to-market for new solutions. This accelerates product innovation, allows companies to adapt to client feedback in real-time, and helps maintain a competitive edge in dynamic markets. Businesses that prioritize fast iteration cycles are able to capitalize on emerging AI trends, rapidly integrate model improvements, and increase operational efficiency, resulting in quantifiable business growth and stronger market positioning (source: Twitter, @gdb).