2026 AI for Science行业研究报告案例征集 | 智局咨询
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TL;DR - 智药局 (Zhiyao Ju) is issuing an open call for案例 (case-study) submissions for its 2026 AI for Science Industry Research Report, aiming to map how AI is being applied across scientific R&D. It is a call-for-participation notice rather than a technical result, so the substance is mostly agenda-setting about where AI4S is heading.
- Framing: Claims AI4S momentum has hit a new high in 2026, with OpenAI and Anthropic extending model capabilities into scientific research and newer entrants like Isomorphic Labs drawing strong capital-market attention — AI moving from language to "understanding life, materials, and the physical world."
- Policy context cited: China's《关于深入实施"人工智能+"行动的意见》 explicitly pushes "AI+科学技术," while the US "Genesis" program is described as scaling past $5B.
- Report scope: Four planned sections — latest AI advances across drug discovery, life science, materials, chemistry/catalysis, energy, semiconductors/advanced manufacturing and industrial R&D; collaboration models between AI4S startups and incumbents (licensing, joint development, JVs, M&A); global market sizing, regional distribution, drivers (compute cost declines, data, capital) and risks; and teardowns of successful cases from technical path to clinical translation and commercial value.
- Caveat: No data, benchmarks, or findings are presented — content is a solicitation (contact via WeChat) and final scope is stated as subject to the published report.
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2026 AI for Science行业研究报告案例征集 | 智局咨询
TL;DR - 智药局 (Zhiyao Ju) is issuing an open call for案例 (case-study) submissions for its 2026 AI for Science Industry Research Report, aiming to map how AI is being applied across scientific R&D. It is a call-for-participation notice rather than a technical result, so the substance is mostly agenda-setting about where AI4S is heading.
- Framing: Claims AI4S momentum has hit a new high in 2026, with OpenAI and Anthropic extending model capabilities into scientific research and newer entrants like Isomorphic Labs drawing strong capital-market attention — AI moving from language to "understanding life, materials, and the physical world."
- Policy context cited: China's《关于深入实施"人工智能+"行动的意见》 explicitly pushes "AI+科学技术," while the US "Genesis" program is described as scaling past $5B.
- Report scope: Four planned sections — latest AI advances across drug discovery, life science, materials, chemistry/catalysis, energy, semiconductors/advanced manufacturing and industrial R&D; collaboration models between AI4S startups and incumbents (licensing, joint development, JVs, M&A); global market sizing, regional distribution, drivers (compute cost declines, data, capital) and risks; and teardowns of successful cases from technical path to clinical translation and commercial value.
- Caveat: No data, benchmarks, or findings are presented — content is a solicitation (contact via WeChat) and final scope is stated as subject to the published report.