Erin Woo

OpenAI announced specialized features within its Codex coding app targeting enterprise use cases in product design and investment banking, as it competes with Anthropic for business customers. The company also said it will combine Codex and ChatGPT in the near term. The moves represent OpenAI's push to expand beyond consumer applications into the enterprise market.

Alphabet announced plans to raise $80 billion through its first stock sale since 2005, with proceeds directed toward AI infrastructure and compute spending. Berkshire Hathaway has committed to purchasing $10 billion in stock at a discount as part of the offering. The move signals Alphabet's major capital commitment to AI development and represents a significant shift in the company's capital allocation strategy after two decades without a public equity raise.

OpenAI is consolidating its product teams across ChatGPT, Codex, and its API into a single unified organization, with president Greg Brockman taking the lead on product strategy. The reorganization moves forward despite the ongoing medical leave of top executive Fidji Simo. The shift reflects OpenAI's push toward a more streamlined, integrated product approach rather than maintaining separate product silos.

Google DeepMind employees in the U.K. have formally requested that management voluntarily recognize the Communication Workers Union and Unite the Union as joint representatives for the AI research unit's U.K.-based staff. The unionization effort, initiated via a letter sent Tuesday, marks the first official step toward potential collective bargaining. The move comes amid broader concerns within the organization, with employees citing military AI deals as a key driver of the push to organize.

Alphabet is in talks with major private equity firms Blackstone, KKR, and EQT to distribute Google's AI models to their portfolio companies. The discussions represent a strategic move to expand access to Google's generative AI capabilities across a broad set of enterprises held by these firms. This follows similar joint ventures established separately by Anthropic and OpenAI with private equity partners, signaling a shift toward PE-backed distribution channels for frontier AI models.

Google Cloud shifted its conference messaging this year from showcasing AI model capabilities to addressing how customers can actually deploy and manage them in production. Interviews with customers and resellers revealed that companies adopting AI are encountering significant implementation challenges, ranging from setting up initial AI agents to managing multiple agents across their operations. The pivot signals that the industry has moved past the hype phase and into a more practical phase where execution and operational support matter as much as raw model performance.

Google has created a dedicated strike team of researchers and engineers focused on improving its AI coding models, driven partly by competitive pressure from Anthropic's recent releases. According to sources with direct knowledge, Google DeepMind researchers view Anthropic's coding tools as outperforming Google's Gemini models in code-writing ability. The effort reflects Google's broader goal to automate more of its own internal coding work and accelerate its AI research capabilities.

Google is in active negotiations with the Department of Defense to deploy its Gemini AI models in classified military settings, marking a significant shift in the company's historical reluctance to work directly with the military. The deal would grant the Pentagon broad rights to use Google's AI for lawful purposes, though Google has proposed contractual safeguards against domestic mass surveillance and autonomous weapons deployment without human oversight. If finalized, the agreement would substantially deepen Google's role as a Pentagon contractor and represent a notable reversal of the company's prior public stance on military AI work.