要約
30 秒でわかる
Lee suggests that AI could lead companies to reconsider how they organize work.
- 1AnalogyLee compares AI with industrial change.
- 2ToolsHe describes tools for current workflows.
- 3OrganizationHe argues for reconsidering structure.
ポイント
- Tools can speed existing work.
- Lee argues for broader redesign.
- His organizational claims are predictions.
全文
チャプターごとに整えた全文を読む
01
Speeding up work
Sequence Holdings CEO Michael Lee compares current AI developments to an industrial revolution.
Sequence Holdings CEO Michael Lee compares current AI developments to an industrial revolution.
He says many companies focus on giving individual workers tools that make existing tasks faster.
02
Rethinking organization
Lee considers that useful but argues that organizations should also reconsider how work is structured.
Lee considers that useful but argues that organizations should also reconsider how work is structured.
He predicts that systems able to operate continuously and scale with computing resources could enable different organizational designs. This is his business perspective.
同じチャンネルの記事
38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月29日ポッドキャスト · 3 人Serval’s Jake Stauch on coding agents for enterprise ITゲスト Jake Stauch · ホスト Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.
1:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月27日ポッドキャストGeorge Kurtz on How AI May Change Cyberattacksゲスト George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月15日ポッドキャスト · 2 人The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurityホスト Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
1:04ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月14日ポッドキャストWalter Goodwin on the Slow Steps in Chip Designゲスト Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日ポッドキャスト · 2 人10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledgerホスト Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
35:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日ポッドキャスト · 2 人Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratioホスト Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.