TechCapsules

OpenAI made $13 billion in 2025 and lost $21 billion doing it

OpenAI's latest financial disclosures reveal a significant tension in the AI boom, with the company generating billions of dollars in revenue while struggling with enormous technology-related expenses. The documents show that research and development spending increased from $7.81 billion in 2024 to $19.18 billion in 2025, exceeding the company's total annual revenue in both years. Operating losses widened from $8.78 billion in 2024 to $20.92 billion in 2025, despite surging revenue. The company's cost of revenue climbed from $2.65 billion in 2024 to $7.5 billion in 2025, highlighting the expensive nature of running AI models at scale.

💡 The AI industry's struggle to balance rapid growth with escalating costs poses a significant challenge to companies like OpenAI. As the technology becomes increasingly expensive to operate, companies must adapt by making tough decisions about resource allocation and prioritizing initiatives that drive efficiency.

Gemini’s co-lead is leaving Google to join OpenAI

Noam Shazeer, VP of engineering at Google and co-lead of Gemini, is leaving the company to join OpenAI. Shazeer announced his departure on Twitter/X, expressing gratitude for his time at Google and pride in the team's accomplishments. He had been with Google since August 2024, and previously worked as a software engineer and CEO of Character.ai. Google acknowledged Shazeer's contributions, stating they are grateful for his work. Shazeer's new role at OpenAI has not been disclosed. His departure marks a significant change, given his leadership role in Gemini. He is set to join OpenAI, a major player in AI development.

💡 Shazeer's move to OpenAI underscores the intense talent competition in the AI sector. His expertise in AI development will likely bolster OpenAI's capabilities.

People are starting to think ChatGPT is too cheap — and that…

A growing number of ChatGPT users are questioning the value of the service, wondering if they're getting away with something due to its low price. The $20-a-month ChatGPT Plus and $200-a-month ChatGPT Pro subscription prices haven't changed since their introduction, despite the service becoming more powerful and feature-rich. OpenAI CEO Sam Altman previously stated that ChatGPT Pro loses money for the company due to its popularity. The concern arises from the significant computing resources required to power the AI system, with vast networks of specialized hardware and data centers consuming large amounts of electricity. As ChatGPT's capabilities expand, users are increasingly asking if it costs less than it should, sparking debate about its pricing.

💡 The perceived undervaluing of ChatGPT threatens OpenAI's ability to sustain its service, as the company invests heavily in data centers, hardware, and electricity to support its growing user base. AI's high operational costs make it vulnerable to pricing pressures, potentially disrupting the long-term viability of ChatGPT and similar services.

OpenAI wins dismissal of trade secret lawsuit by Musk’s xAI

US District Judge Rita Lin in San Francisco has dismissed a trade secret lawsuit by Elon Musk's artificial intelligence company xAI against rival OpenAI. The lawsuit, originally filed in September, claimed that former xAI employees took confidential information, including source code related to the Grok chatbot, when they left for new jobs at OpenAI. Judge Lin ruled that xAI failed to show that OpenAI induced the former employees to misappropriate trade secrets or that they disclosed xAI trade secrets during the recruitment process. The case was dismissed with prejudice, meaning xAI cannot refile the lawsuit.

SK hynix Weighs ChatGPT for Work as OpenAI Builds Out Its Korean…

SK hynix is reviewing ChatGPT Enterprise for internal use, joining a wave of adoption among Korea's largest companies. The move follows Samsung Electronics' rollout of external generative AI to employees. SK hynix CEO Kwak Noh-jung stated that the company is weighing the security and system architecture of ChatGPT Enterprise, with a focus on introducing external AI gradually in areas unrelated to national core technologies. This cautious approach reflects the company's need to balance employee access to frontier tools with the protection of sensitive work. OpenAI's distribution layer, facilitated by the IT-services arms of Korea's largest conglomerates, has enabled the company's products to gain traction in the enterprise AI market.

💡 The widespread adoption of OpenAI's products by Korea's largest companies underscores the growing importance of distribution channels in the enterprise AI market. As these conglomerates' IT-services arms carry OpenAI channels, the company's products are gaining access to a large and influential customer base, potentially cementing its position in the market.

OpenAI Price War With Anthropic Could Reshape AI Costs, but DeepSeek Already…

OpenAI is reportedly considering drastic token price cuts to win back enterprise customers from Anthropic, according to the Wall Street Journal. This move comes as Anthropic's annualized revenue reportedly grew more than fivefold in under six months, driven by its AI coding agent Claude Code. DeepSeek's open-source models already deliver comparable performance at a fraction of the cost, raising questions about whether Western AI labs have been overcharging. Enterprise AI spending is unsustainable, with companies like Uber burning through their AI budgets quickly. The timing of a price war is particularly risky for both companies' public market narratives.

💡 The price war between OpenAI and Anthropic threatens to upend the business model of the entire AI industry, forcing companies to confront the reality of unsustainable spending. As the two most valuable AI startups on Earth struggle to survive the fall in prices, the question is no longer whether AI pricing will come down, but whether the industry can adapt to a new reality where frontier-quality AI is available at a fraction of the cost.