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OpenAI Partners with Google Cloud in Surprising AI Rivalry Deal

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OpenAI has struck a significant cloud computing deal with Alphabet’s Google Cloud to support its growing AI infrastructure needs, sources told Reuters. This collaboration, finalized in May, marks an unprecedented partnership between two major competitors in artificial intelligence.

The move signals OpenAI’s efforts to diversify beyond its longtime partner Microsoft, which had exclusively provided data center services until January. Google Cloud will now supply additional computing power to OpenAI for training and running its large language models, including ChatGPT.

The deal highlights the immense compute demands required for AI development and how competitive dynamics are evolving. Despite the fierce rivalry—OpenAI’s ChatGPT poses a strong challenge to Google’s dominant search business—both companies have chosen to cooperate in meeting infrastructure needs.

Alphabet’s stock rose 2.1% following the news, while Microsoft shares slipped 0.6%. Analysts at Scotiabank called the partnership “somewhat surprising” but a strategic win for Google Cloud, which has been aggressively expanding its AI hardware offerings, including tensor processing units (TPUs) used internally and for other customers like Apple.

OpenAI’s recent moves to reduce dependency on Microsoft include partnerships with SoftBank, Oracle, and CoreWeave, as well as plans to develop its own AI chips to cut reliance on external hardware providers. Meanwhile, Microsoft and OpenAI continue to renegotiate their multibillion-dollar investment terms.

Google’s Cloud business, generating $43 billion in sales in 2024, aims to capture market share against rivals Amazon and Microsoft by positioning itself as a neutral cloud provider favored by AI startups with costly infrastructure needs.

This deal presents a complex balancing act for Alphabet CEO Sundar Pichai, who must allocate limited chip capacity between competing demands from Google’s own AI projects and cloud customers. Despite ChatGPT’s threat to Google’s search dominance, Pichai remains confident in the company’s position.

IBM Targets Practical Quantum Computer by 2029, Reveals Roadmap for Larger Systems

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IBM announced on Tuesday its goal to deliver a practical quantum computer by 2029, detailing the steps it will take to achieve this milestone. The company also plans to develop a much larger quantum system by 2033.

Quantum computers utilize principles of quantum mechanics to solve complex problems that classical computers could take thousands of years to address. However, current quantum machines dedicate significant resources to error correction, limiting their overall speed advantage.

IBM aims to build the “Starling” quantum computer at a new data center under construction in Poughkeepsie, New York. The system is expected to feature about 200 logical qubits—units of quantum information—enough to demonstrate computational advantages over classical systems.

Competing alongside tech giants Microsoft, Google, Amazon, and various well-funded startups, IBM confronts the challenge of qubit errors by innovating in error-correction algorithms. Since 2019, IBM has adopted a novel approach by designing error-correction methods suited to practical, buildable chips rather than purely theoretical designs.

Jay Gambetta, IBM’s vice president of quantum initiatives, emphasized that the company has resolved the fundamental science questions and now faces a significant engineering challenge to scale up quantum systems. “We’ve answered those science questions. You don’t need a miracle now,” he said. “Now you need a grand challenge in engineering.”

IBM plans to release a series of quantum systems between now and 2027, paving the way toward the more powerful machines targeted for 2029 and beyond.

Glean Reaches $7.2 Billion Valuation Amid AI Investment Surge

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AI search startup Glean announced on Tuesday that it has reached a valuation of $7.2 billion following its latest funding round — the company’s third capital raise in under two years. This represents a valuation increase of nearly 57% since its previous round in September, where its value had already more than doubled in just over six months, highlighting continued strong investor demand for AI-driven companies.

The Palo Alto-based enterprise AI firm secured $150 million in this latest round, led by asset management firm Wellington Management. As public markets remain uncertain, many startups like Glean are choosing to remain private longer, raising significant late-stage funding. According to Michael Ashley Schulman, partner at Running Point Capital Advisors, “Founders avoid the volatility of public markets and employees receive secondary-market liquidity via structured rounds.”

Founded in 2019 by former Google search engineers, Glean has surpassed $100 million in annual recurring revenue in its last fiscal year. The company develops AI-powered search tools and large language models that provide businesses with personalized query responses, aiming to optimize enterprise productivity and internal information management.

Glean’s 72x valuation multiple on revenue is considered aggressive, but Schulman noted that investors are receiving “early access to a franchise,” particularly given that the company is currently cash-flow positive.

Earlier this year, Glean introduced its Glean Agents platform, which enables businesses to automate various operations through AI. The company expects the platform to facilitate 1 billion agent actions by the end of 2025. Industry leaders have pointed to AI-based agents as one of the most transformative applications of artificial intelligence. Microsoft CEO Satya Nadella has also highlighted how AI agents could disrupt the long-dominant software-as-a-service (SaaS) business model.

The AI sector continues to attract robust global investment as enterprises and governments pursue artificial intelligence for diverse use cases such as drug discovery, infrastructure management, and productivity enhancement.