Observed Signal · Jul 20, 2026 · Technical Release · Source: t3n · Impact: 4/5 · Sentiment: Negative
Gemini 3.5 Pro Delays Cause Frustration at Google
Google has repeatedly delayed the planned July release of its Gemini 3.5 Pro model after announcing new AI models at Google I/O in May 2026. Bloomberg and anonymous internal sources say the Pro build falls short of Google's internal goals, particularly on coding performance versus Anthropic and OpenAI. Google updated Gemini 3.5 Pro's training data in late June and is testing the model with selected partners while coordinating model tests and AI policies with the U.S. government. Employees cite internal governance disputes, competing teams, restricted external tool access and compute limits for slow progress and frustration. Google says roughly 75% of its code is now generated by AI and reviewed by humans, and Chief AI Architect Koray Kavukcuoglu is consolidating coding tools and loosening some internal rules.
This concerns a technical release from a major platform (Google). Delays and capability gaps in Google's flagship LLM affect competitive dynamics in AI, downstream tooling used across adtech/martech, partner integrations, and regulatory testing.
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Key Takeaways & Evidence Grounding
- Gemini 3.5 Pro has been repeatedly delayed after its May 2026 Google I/O announcement; a July release was planned but no new date has been announced.
- Bloomberg and anonymous insiders report the Pro model falls short of internal goals, especially on coding versus Anthropic and OpenAI.
- Google updated Gemini 3.5 Pro's training data in late June 2026 and is testing the model with selected partners while working with the U.S. government on model tests and AI policies.
- Internal governance changes, competing teams, restricted external tool access and compute capacity constraints are cited for slow progress and employee frustration.
- Google says roughly 75% of its code is generated by AI and reviewed by humans; Chief AI Architect Koray Kavukcuoglu is consolidating coding tools and loosening some internal policies.
Connected Companies & Entities
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“Above all in coding, the AI reportedly lags significantly behind competitors Anthropic and OpenAI....”
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Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Alphabet Stock Falls as Gemini 3.5 Pro Delayed
Alphabet shares dropped after reports that the company has delayed the release of its flagship AI model, Gemini 3.5 Pro, which is now said to be months behind schedule. Bloomberg reported the delay, citing sources who said the model’s coding capabilities fell short of internal expectations. The model had been announced in May at Google I/O and was being used internally, but broader rollout has been postponed. Competitors including OpenAI and Meta have recently released AI models that outperform Google’s current offerings on code-generation tasks. Alphabet said it is testing 3.5 Pro and other upgraded models with partners and engaging with the U.S. government.
Gemini 4 Launch Ahead of Schedule, Google DeepMind Confirms
Google DeepMind is accelerating the launch of Gemini 4, its next flagship AI model, currently in post-training. Head of DeepMind Koray Kavukcuoglu stated at the AI Agenda Live Summit that an early version will release 'much earlier' than year-end, prioritizing coding and autonomous AI agents. Leaks suggest test versions (codenamed 'Argon') feature 256k token outputs, improved design, and expansive context windows, with a possible October launch. This urgency stems from Google's competitive pressure: its top model, Gemini 3.8 Flash, scores 41 on the Artificial Analysis Intelligence Index, trailing behind Anthropic, OpenAI, Meta, xAI, and Chinese rivals like Alibaba and Zhipu. Google aims to regain leadership in frontier AI as rivals rapidly iterate.
Google working on Gemini 4 with early release expected
Google DeepMind CEO Koray Kavukcuoglu has confirmed that Gemini 4, the next flagship AI model, is in post-training and will be released earlier than expected, possibly before the end of the year. The model, which focuses on coding and autonomous AI agents, is seen as crucial for Google to regain competitiveness after the cancellation of Gemini 3.5 Pro and underperformance in benchmarks. Leaks suggest a model codenamed 'Argon' with capabilities like extended output and improved design. Google faces intense competition from Anthropic, OpenAI, Meta, xAI, Alibaba, and Zhipu, whose top models outperform Google's best in the Artificial Analysis Intelligence Index.
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