A leaked internal memo from Google co-founder Sergey Brin has sent waves through the AI developer community: Gemini, Google’s flagship AI model family, is “urgently behind” Claude and competitors in the critical domain of agentic execution.

The memo, first reported by The Information and confirmed across multiple outlets including The Verge and TechRadar, was addressed to DeepMind staff. It’s a rare public-facing glimpse into how Google’s own leadership views the competitive landscape — and the assessment isn’t flattering.

What the Memo Said

Brin’s core message: Gemini needs to catch up on agents, and it needs to do it now.

The memo reportedly mandated that every Gemini engineer use internal AI agents daily — a “dogfooding” requirement designed to force the team to experience the gap firsthand rather than abstract it away in benchmarks. If you want to understand why your agentic product isn’t keeping pace, Brin’s logic goes, make the people building it depend on it.

Beyond the cultural mandate, Brin announced the formation of a “Coding Strike Team” — a dedicated group tasked with closing the agentic gap on the engineering execution front. The team was placed under the joint leadership of:

  • Koray Kavukcuoglu, DeepMind’s Chief Technology Officer
  • Sebastian Borgeaud, a senior DeepMind researcher

The pairing of CTO-level oversight with a hands-on senior researcher signals this is being treated as a strategic priority, not a side project.

What “Agentic Gap” Actually Means

“Agentic execution” is shorthand for how well a model performs when it’s not just answering questions but taking multi-step actions in the world: using tools, writing and running code, browsing the web, managing files, orchestrating sequences of tasks over time.

This is fundamentally different from single-turn question answering. A model can ace MMLU benchmarks and still struggle when asked to “find my last 10 invoices, compile them into a spreadsheet, and email the summary to my accountant.” That requires reliable tool use, memory across steps, error recovery, and judgment about when to ask for clarification versus when to act.

Claude — particularly Claude 3.5 and 3.6 Sonnet — has built a reputation among developers for performing well in these agentic contexts. Not perfect, but noticeably more reliable at multi-step tasks than many alternatives. That reputation appears to be exactly what’s nagging at Brin.

What This Means for Developers Choosing Between Gemini and Claude

For practitioners building agentic systems today, this memo is relevant signal, not noise.

The honest picture: Gemini 2.5 Pro is genuinely strong at reasoning and has impressive context length. It’s not a weak model. But Brin’s memo confirms what many developers in the agent-building community have experienced firsthand: when a workflow requires reliable multi-step execution with tool use, Claude has a practical edge in production.

Google isn’t ignoring the problem — the strike team formation and dogfooding mandate are real organizational responses. But these things take time. A memo creates urgency; it doesn’t ship features.

For now, the practical advice is: benchmark your specific workflow. For long-context summarization and structured reasoning, Gemini holds up well. For agentic automation loops where errors compound and reliability matters, most production teams are currently reaching for Claude.

That calculus will change. Google has the resources and talent to close gaps. But the timing of the memo — coinciding with Google Cloud Next 2026 and a conference explicitly themed around “agentic cloud” — suggests Google knows the window to catch up is not unlimited.

Why This Happened Publicly

Internal memos at companies the size of Google and DeepMind get leaked. But the fact that this one surfaced now, during a major conference week, is worth noting.

Whether intentional signal or genuine leak, the public exposure has two effects:

  1. It creates external accountability — Google’s leadership has now effectively committed to closing the agentic gap with the world watching.
  2. It validates the framing that Claude’s agentic performance is the competitive benchmark to beat — a position Anthropic will use in every enterprise sales conversation for months.

Sources

  1. TechRadar — Sergey Brin Gemini Memo Coverage
  2. The Information — Original Report (paywalled)
  3. The Verge — Confirmation Coverage
  4. The Rundown AI — Analysis

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