⚠ Open Models & Fast FollowersModerate threat
Alphabet (Google) (GOOGL) — threat to the moat
When capable models are free, the model itself stops being the moat.
The model advantage assumes Google's AI is meaningfully better than what others can build, and the danger is that this edge has largely evaporated. The frontier is now crowded with well-funded rivals whose models match or beat Google's, and open models are improving so fast that capable AI is becoming something anyone can obtain rather than a proprietary advantage. Meta released its frontier-class Llama family as open weights1. The measured gap collapsed within a year: on the Arena leaderboard the best closed model outscored the best open one by 8.04% in January 2024 and by only 1.70% in February 20252. The open models closest to the frontier now come from Moonshot, Z.ai and Alibaba, and in September 2026 Moonshot's Kimi K3 Max trailed the leader, Anthropic's Claude Opus 5 Max, by 29 rating points3. When the intelligence itself is widely available, being good at models stops being a moat.
This is dangerous because the model was supposed to be where Google's data scale turned into an un-catchable quality lead. If rivals reach parity by training on the same public web, and open models put strong AI in everyone's hands, then the flywheel's payoff at the intelligence layer shrinks, and the differentiation must come from somewhere else — data freshness, distribution, integration — rather than from simply having the smartest model.
The comfort is that models are only one ingredient: turning a good model into a great product still requires the data, the distribution, the infrastructure, and the integration that Google has in abundance and a model-maker alone does not. And Google remains at or near the frontier itself, so it is not being left behind — it is merely no longer alone at the front, which is a different and lesser problem.
Moderate, all told. The commoditization of capable models genuinely erodes the intelligence-layer advantage that data scale was meant to produce, and it is the thread of the flywheel where rivals have most clearly drawn level — but models are not products, and Google's surrounding advantages in data, distribution, and scale still convert a merely-competitive model into a superior experience. The edge in raw intelligence narrows; the edge in everything around it endures.
- ReportedMeta's frontier-class Llama family is open-weight.Meta — Llama open-weight model family; AI-driven ranking and ads improvements credited on earnings calls — 2023-2026 · publ. 2023-2026 · source ↗
- Third-party estimateThe measured gap collapsed within a year: on the Arena leaderboard the best closed model outscored the best open one by 8.04% in January 2024 and by only 1.70% in February 2025.Stanford HAI, The 2025 AI Index Report, Technical Performance chapter: by early January 2024 the leading closed-weight model outperformed the top open-weight model by 8.04% on the Chatbot Arena Leaderboard, and by February 2025 the gap had narrowed to 1.70%. — January 2024 - February 2025 · publ. April 2025 · source ↗
- Third-party estimateThe open models closest to the frontier now come from Moonshot, Z.ai and Alibaba, and in September 2026 Moonshot's Kimi K3 Max trailed the leader, Anthropic's Claude Opus 5 Max, by 29 rating points.BenchLM.ai, LLM Leaderboard History - monthly Arena preference snapshots of the leading proprietary and openly licensed models. In the September 2026 snapshot claude-opus-5-max leads at 1505 and kimi-k3-max (Moonshot) is the top open model at 1476, 29 points behind; the open-licence leaders since late 2025 have been GLM (Z.ai), Kimi (Moonshot) and Qwen (Alibaba), and the gap ranged from 26.2 points (2025-10) to 51.1 (2026-03). — October 2025 - September 2026 · publ. September 2026 · source ↗