The article analyzes how the rapid commoditization of large‑model capabilities, illustrated by Palantir’s 85% Q1 2026 revenue growth, reshapes AI competition into three layers—model, wrapper, and infrastructure—highlighting ontology as the hard‑to‑copy moat for enterprise AI in high‑risk scenarios.
Suntory rolled out nearly 30 new drinks in China in 2025‑2026, yet its instant‑tea share fell from 2.3% to 1.6% while Dongfang Shuye, backed by Nongfu Spring, captured over 70% of the unsweetened‑tea segment, illustrating how channel reach and data‑driven digitalization now outweigh sheer SKU volume in a stock‑limited market.
Palantir’s Q1 2026 revenue jumped 85% while many AI firms saw valuations collapse, and the company attributes its success to replacing cheap‑token LLM wrappers with a deep ontology‑driven semantic network that secures high‑risk AI deployments, creates a durable moat, and delivers unprecedented net‑retention.
The article analyzes how the rapid commoditization of large‑model capabilities reshapes AI competition, arguing that the true moat lies not in the models themselves but in deep ontology‑driven infrastructure that can guarantee trustworthy outcomes in high‑risk enterprise scenarios, as illustrated by Palantir’s strategy.
The 2024 AI‑powered PPT market has surged to nearly ten million users, with Baidu Wenku capturing about 80% of the share, while competitors like WPS AI PPT and Ai PPT lag behind, driven by superior multi‑modal generation, higher quality layout, and extensive content resources.
The 2024 China “Hundred-Model War” report analyzes how ten major domestic large‑model vendors compete across five dimensions—team, product, infrastructure, ecosystem, and development—revealing that Baidu and Huawei dominate overall while others show niche strengths and growth opportunities.
