Google's recent AI leadership shuffle has put the spotlight on the company's efforts to catch up with OpenAI and Anthropic in the race to develop cutting-edge AI models. With Koray Kavukcuoglu taking the reins as the new SVP of AI, the question on everyone's mind is: can Google close the performance gap and reclaim its position at the frontier of AI development? In my opinion, the answer lies in Kavukcuoglu's ability to focus on execution and deliver tangible results, rather than deep research alone.
A Race to the Frontier
The AI landscape is a highly competitive arena, with OpenAI and Anthropic setting the pace with their advanced models. Google, on the other hand, has been playing catch-up, with its last frontier model release dating back to early 2026. This has raised concerns about the company's ability to keep up with the rapidly evolving field. As Ben Wood, chief analyst at CCS Insight, points out, Google's focus has been on monetizable areas like Search and multi-modal, rather than developing a killer use case in coding, an area where OpenAI and Anthropic are miles ahead.
DeepMind Under Kavukcuoglu
Kavukcuoglu, a veteran of DeepMind, is now tasked with leading the company's efforts to challenge OpenAI and Anthropic at the frontier. With his promotion, he will oversee Gemini model development, Frontier AI research, and the Gemini app and developer teams. This expanded remit could give Google an edge, as it knows how to organize a product group rather than a lab, as Brian Hopkins, VP of emerging tech at Forrester, notes. However, the challenge remains to rebuild the coding and pretraining expertise that walked out the door with previous departures.
The Path to AGI
The race to develop artificial general intelligence (AGI) is a complex and multifaceted one. While Kavukcuoglu's focus on execution and product development could be a game-changer, it's also important to consider the broader implications of Google's AI play. As Sebastian Mallaby, author of 'The Infinity Machine,' points out, it's wrong to paint a picture of a general crisis at the company due to big-name departures. Google has a large and diverse team working on Gemini, and the company's ability to monetize its AI services is doing extremely well, with nearly 90% of Fortune 100 companies using Gemini Enterprise.
The Future of AI at Google
As Kavukcuoglu takes the reins, the question remains: can Google close the performance gap and reclaim its position at the frontier of AI development? In my opinion, the answer lies in the company's ability to focus on execution, deliver tangible results, and build a killer use case in coding. With his expanded remit and renewed focus, Kavukcuoglu has the opportunity to make a significant impact on Google's AI efforts. However, the road ahead is fraught with challenges, and it remains to be seen whether Google can overcome them and emerge as a leader in the AI race.
