Google Stands at the AI Crossroads Once Again

According to a Reuters exclusive (republished by TimesNow) and Google's official blog, Google carried out the largest leadership reshuffle of its AI division DeepMind in 25 years in early August. Demis Hassabis stepped down as CEO, taking on a newly created Chief Scientist role and becoming chairman. Senior engineer and former deputy Koray Kavukcuoglu took over as CEO. Meanwhile, the two original technical co-leads of Gemini, plus Jeff Dean, Oriol Vinyals, Quoc Le and other core figures, left Google to found a public-benefit AI company called Discovery Loop, focused on machine learning, science, and engineering breakthroughs.

The direct reason Alphabet had to make this move is straightforward: Gemini has fallen behind again.

Gemini's Lag Is No Longer a One-Version Problem

Citing seven people familiar with the matter, Reuters reported that Google's next flagship Gemini model, originally slated for June, has been delayed by roughly two months. Internal testing showed the new model still trails Anthropic and OpenAI's same-generation products on key benchmarks including coding (as covered in Solidot's "Google Restructures AI Division to Catch Competitors"). Last November, Gemini 3.0 briefly overtook competitors to top the leaderboards, but Anthropic's Claude Mythos 5 and OpenAI's GPT-5 line soon pushed Google back into a catch-up position.

This means Google has spent multiple consecutive version numbers in an awkward rhythm of "ship, then immediately fall behind": every internal benchmark review pushes the launch date further out. Organizational issues are now visibly dragging product cadence.

Sergey Brin's "Go All In"

Another signal of the tension came from the very top. Per Reuters and Solidot, Google co-founder Sergey Brin made a rare appearance at a DeepMind all-hands in April this year, publicly urging the AI team to speed up and concentrate firepower on pushing Gemini forward. It was the strongest public pressure Brin has applied to a single AI project since stepping back from day-to-day management in 2019.

Brin's personal involvement signals two things. First, the DeepMind self-management route under Sundar Pichai has not produced speed fast enough. Second, the board-level consensus is that Gemini is the one battle Google cannot afford to lose in the generative-AI era.

Folding DeepMind Back Into the Center

The deeper organizational move: DeepMind is losing the independence it has had for the past decade.

Per Reuters, at the August 6 internal all-hands, employees were told that some teams would move out of DeepMind and back into the broader Google corporate structure. This means Google is converting DeepMind from a hybrid of "independent research lab plus parallel productization" into a tighter, centrally-run AI division focused on the commercial goals of the Gemini model.

It is a classic strategic trade-off: sacrifice long-term research latitude in exchange for product iteration speed. For Anthropic and OpenAI, which are fundamentally model-centric opponents rather than research-institute-shaped ones, this tightening actually makes sense. Google is finally aligning its organization to the same shape as its rivals.

Three Things to Watch

1. Kavukcuoglu's role change is the biggest signal. His move from CTO/co-founder to CEO means the technical lead of Gemini now has final say, not just a reporting line to Hassabis. The shift effectively rotates the old "research-driven" paradigm toward a "model-competitiveness-driven" one.

2. The next Gemini flagship is already pushed back about two months. For OpenAI and Anthropic, that window is a free generational head start. If Google cannot ship, by September or October, a flagship whose coding capability matches Claude Opus 4 / GPT-5.6, enterprise budgets in the AI coding segment will lock in further with the competitors.

3. Discovery Loop takes with it some of Google's most scarce research talent. Names like Jeff Dean and Oriol Vinyals are themselves Google AI's brand assets. Their departure ships the last research-driven souls of the Google Brain era into a public-benefit organization. Good for academia, but a visible intellectual outflow from Google's commercial AI.

So What?

This restructure is, in essence, an admission that the combination of "research autonomy + massive compute + brand" is no longer enough to beat Anthropic and OpenAI's playbook of "product-grade engineering + closed flagship + vertical customers".

With DeepMind centralized, Kavukcuoglu at the helm, and Brin personally pushing for speed, the market is not watching for the next launch event. It is watching whether Google can ship, before Q4 2026, a next-generation Gemini that holds up in three core scenarios: coding, enterprise agents, and long context. If not, this round of reshuffling will only push Google into the loop of "change leadership → still fall behind → reshuffle again".

Anthropic Mythos and OpenAI GPT-5.6 have already fired the starting gun. Google is the only player that now has to chase on three fronts at once: model capability, commercialization, and organizational efficiency. The largest AI reshuffle in 25 years sounds dramatic — but the real fight is still ahead.

Sources: Reuters exclusive report (via TimesNow republication, https://www.timesnownews.com/technology-science/google-ai-shake-up-explained-gemini-struggling-to-keep-up-with-openai-and-anthropic-article-155604258); Solidot, "Google Restructures AI Division to Catch Competitors" (https://www.solidot.org/story?sid=85082); Google official CEO letter.