OpenAI CEO Sam Altman has declared that the company intends to become both the "greatest and the cheapest" provider of artificial intelligence services, directly addressing intensifying competition from Chinese startup Moonshot AI. Speaking on the Invest Like the Best podcast, Altman outlined a strategy focused on delivering the strongest mix of performance, speed, and affordability to maintain market leadership against emerging rivals like Moonshot AI’s Kimi K3 model.

Altman emphasized that OpenAI’s objective is to occupy every point along the "Pareto-optimal frontier," ensuring it offers the best possible option for intelligence relative to price at every tier. He argued that while competitors are gaining attention, OpenAI currently provides a superior value proposition at specific levels of latency and performance compared to Kimi. The CEO stated that users receive a better deal today using OpenAI’s models than those offered by Kimi, particularly when considering the balance between speed and capability.

Strategic Response to Kimi K3

The comments follow the recent launch of Kimi K3 by Moonshot AI, which claims to outperform leading systems from OpenAI and Anthropic in certain areas. Moonshot AI described Kimi K3 as the largest open-source model to date, featuring 2.8 trillion parameters. This surpasses DeepSeek’s 1.6-trillion-parameter V4 Pro and Zhipu AI’s 744-billion-parameter GLM 5 series. While parameter count indicates complexity, Altman suggested that raw size does not automatically equate to better practical performance or cost-efficiency for end-users.

To sustain its competitive edge, Altman revealed that OpenAI employs a process known as distillation to create smaller, less expensive systems from its own advanced models. He described this approach as a critical method for making AI more accessible and affordable. Additionally, Altman acknowledged the enduring importance of open-source AI, noting that some users require access to model weights for customization, though he maintained that OpenAI’s proprietary offerings would remain superior in value.

Market Dynamics and Hardware Access

Altman dismissed fears of regulatory overreach or technological isolation, stating he has always assumed that great, cheap models would become widely available globally. Rather than focusing on competitor actions, he insisted OpenAI must continue improving its own technology and lowering costs to win at its own game. Meanwhile, hardware constraints remain a key factor in the global AI race; Nvidia has begun shipping H200 AI chips to China following U.S. approval of limited exports, potentially fueling further development of competitive models like Kimi K3.

OpenAI has appointed Alisha Lehr, a former managing director at Morgan Stanley, to a private equity-focused role aimed at expanding relationships with investment firms. Lehr joins the company after nearly nine years at Morgan Stanley, where she served as chief operating officer for firmwide artificial intelligence. Her appointment signals OpenAI’s strategic push to help private equity firms translate AI potential into measurable value across their portfolio companies.

Lehr will partner with private equity firms, operating partners, founders, and CEOs to address how AI can drive durable competitive advantage. "The opportunity goes beyond adopting new tools. It’s about rethinking how companies operate, how teams work, how businesses grow, and where competitive advantage comes from," Lehr stated in a LinkedIn post. She described her career as being built at the intersection of finance, technology, and strategic change.

Prior to joining OpenAI, Lehr led AI initiatives across Morgan Stanley as a managing director and COO. She also served as head of market innovation for the bank’s Technology Business Development unit and previously held a role at IBM. OpenAI’s private equity team is focused on helping investment firms deploy OpenAI agents within their portfolio companies, supporting AI deployments through client-facing relationships.

Workforce Expansion and Leadership Hires

OpenAI plans to nearly double its workforce to 8,000 employees from 4,500 by the end of the year, according to reports from the Financial Times. This expansion includes several high-profile hires alongside Lehr:

Clint Gibler will work with Michael Aiello, OpenAI’s head of product for cyber. Jason Boehmig will lead the product team responsible for building products for the legal industry. Brian Landsman joins as vice president of global partnerships.

IPO Filing and Strategic Trade-offs

OpenAI recently submitted a confidential draft registration statement on Form S-1 to the Securities and Exchange Commission (SEC). The company announced the filing candidly on its website, stating, "We recently submitted a confidential S-1. We expect it to leak so we’re just announcing it."

While OpenAI has not decided on a timeline for going public, it noted that some objectives are "easier as a private company." However, the filing provides the option to go public sooner if that proves best for the company. "It’s a complicated set of trade-offs," the company said in its statement.

What the Numbers Show

The simultaneous expansion of the private equity team and the workforce suggests OpenAI is prioritizing enterprise integration and commercial scaling ahead of a potential public listing. By hiring executives with deep ties to major financial institutions and tech platforms, OpenAI aims to embed its technology directly into the operational frameworks of large capital allocators and industry leaders.