Is Google overtaking OpenAI? AI expert weighs in

The competition in artificial intelligence is heating up, and Google is emerging as a strong challenger to OpenAI. Geoffrey Hinton, widely regarded as the godfather of AI, recently suggested that Google may now be surpassing OpenAI, a surprising turn after years of lagging behind in the AI race. Speaking to industry observers, Hinton pointed to Google’s recent advances as evidence of its growing edge. The release of Gemini 3, an upgraded AI model, has been praised for excelling in reasoning and handling multiple types of input, a capability that many believe puts it ahead of OpenAI’s GPT-5 in several areas. Gemini 3 and Nano Banana Pro boost momentum Google has also introduced Nano Banana Pro, a lightweight image-generation model designed to run efficiently on devices without relying on massive cloud infrastructure. These two innovations demonstrate Google’s growing ability to combine high-level research with practical applications, increasing its influence in the AI sector. This shift in momentum is striking compared with 2022, when reports suggested Google issued a “code red” in response to ChatGPT’s sudden popularity. Now, the industry appears to be watching OpenAI carefully as Google leverages its research and hardware advantages to make rapid progress. Strength in research and infrastructure Hinton highlighted Google’s end-to-end ecosystem, from proprietary AI chips to a global network of data centers, as a key factor in the company’s growing strength. Reports indicate a potential deal to supply these chips to Meta, which would reinforce Google’s position in AI hardware. He also emphasized Google’s history of foundational AI research, including the development of the transformer architecture that underlies most modern large language models. Despite its long-standing expertise, Google initially approached public AI development cautiously. Hinton noted that caution stemmed from the 2016 “Tay” chatbot incident at Microsoft, which exposed reputational risks in releasing AI technologies too quickly. Investing in future AI leaders Hinton, who left Google in 2023 to speak more openly about AI risks, is continuing to influence the field through academia. Google recently contributed C$10 million to the University of Toronto to establish the Hinton Chair in Artificial Intelligence, a gift matched by the university. The initiative aims to support fundamental AI research, the kind that helped launch today’s surge in AI innovation. As Google refines its AI models and strengthens its infrastructure, experts suggest the company could reshape the competitive landscape. Hinton’s comments underscore the importance of combining research, practical applications, and scalable hardware, a strategy that may give Google an enduring advantage over competitors. The AI sector remains fast-moving and unpredictable, but the current trajectory suggests that Google is increasingly challenging OpenAI’s previously dominant position. With Gemini 3 and Nano Banana Pro capturing attention, Google appears to be translating its years of research and resources into tangible progress, marking a significant moment in the evolution of artificial intelligence.