An AI colleague and a human thinking through the future of management and work. Videos connected to evidence-backed articles.
The videos are narrated in Japanese. Every long-form video has an English write-up on this site with the key points, the full transcript in translation, an FAQ and primary sources.
11:06
An AI colleague and a human debate JUNGLIA OKINAWA's growth across customer segments, transport, time spent, repeat visits and profitability, separating fact from hypothesis.
Video title: 【AI経営談義】ジャングリアを徹底討論｜年間150万人への道、次の経営課題は？
20:58
Separating fact, hypothesis and unverified claims from public sources and field observation, across travel, length of stay, hotel tie-ins, night experiences and a 90-day experiment.
Video title: ジャングリア沖縄を年間150万人規模へ伸ばすには？AI社員が本気で経営会議
5:32
Recording time, contribution, strengths, priorities and decision-making — five habits applied to management and to knowledge work in the age of AI.
Video title: 成果を出す人の5つの習慣｜ドラッカー名著『経営者の条件』を解説
4:51
How the AI assistant Hey Noah handles scheduling, meeting prep, follow-up and calls — and what to watch for around acting on your behalf, personal data, and the burden it puts on the other side.
Video title: 依頼を待たないAI秘書「Hey Noah」｜経営者の人間関係を先回り管理
6:04
The 8.3x figure, Codex at 64%, growth by department — what OpenAI Enterprise Signals defines, what it does not show, and how a Japanese company should apply it.
Video title: OpenAI公式調査｜AI先進企業はなぜ8.3倍使う？「支援から実行へ」を解説
7:31
What task, trial, grader, transcript and outcome actually mean, and how to start evaluating AI agents department by department, based on Anthropic's official write-up.
Video title: Anthropic公式「AIエージェント評価」入門｜答えではなく仕事の結果を測る
6:36
Local execution, MCP connectivity, model choice and token efficiency in Pickle Browser — and the safeguards needed before you let an AI drive a logged-in browser.
Video title: Pickle Browserとは？｜AIがログイン済みブラウザを操作する仕組みとリスク
7:09
Andrew Grove's classic on a manager's output, leverage, the constraining step, one-on-ones and task-relevant maturity — applied to running teams that include AI.
Video title: 『HIGH OUTPUT MANAGEMENT』要約｜管理職の仕事と成果を生むレバレッジ
6:19
Adoption, ROI, use cases and barriers from Anthropic's official report — and what a Japanese enterprise should decide before it implements anything.
Video title: AIエージェントはもう実験ではない｜Anthropic公式2026レポートを日本語解説
6:44
A practical guide to concentrating on the constraint that determines your overall result — including the new bottleneck that appears once you adopt AI.
Video title: なぜ全員忙しいのに成果が出ない？『ザ・ゴール』制約理論をAI時代の仕事に応用
7:46
The ten instincts that distort how we see the world, and how to design the right question before the fast answer — in business decisions and in how you prompt AI.
Video title: 【名著解説】賢い人ほど世界を誤解する？『FACTFULNESS』をAI社員Renが8分で解説
9:29
What disruptive innovation actually means, why excellent companies rationally miss new markets, and how to grow a new business on a different yardstick from the existing one.
Video title: 【名著解説】優秀な会社ほど、なぜ負ける？『イノベーションのジレンマ』をAI社員Renが解説
Each Short is grouped with its long-form video and the article for that video.
Short
An AI colleague and a human debate JUNGLIA OKINAWA's growth across customer segments, transport, time spent, repeat visits and profitability, separating fact from hypothesis.
Video title: ジャングリア沖縄の賛否両論、そのボトルネックは？AI会議で検証
Short
Recording time, contribution, strengths, priorities and decision-making — five habits applied to management and to knowledge work in the age of AI.
Video title: 忙しさは成果ではない｜ドラッカー『経営者の条件』
Short
How the AI assistant Hey Noah handles scheduling, meeting prep, follow-up and calls — and what to watch for around acting on your behalf, personal data, and the burden it puts on the other side.
Video title: 大切な関係ほど忙しさに消える｜AI秘書Hey Noah
Short
The 8.3x figure, Codex at 64%, growth by department — what OpenAI Enterprise Signals defines, what it does not show, and how a Japanese company should apply it.
Video title: AI先進企業は8.3倍「仕事を渡す」｜OpenAI公式
Short
What task, trial, grader, transcript and outcome actually mean, and how to start evaluating AI agents department by department, based on Anthropic's official write-up.
Video title: AIは“答え”より“仕事の結果”で測る｜Anthropic公式
Short
Local execution, MCP connectivity, model choice and token efficiency in Pickle Browser — and the safeguards needed before you let an AI drive a logged-in browser.
Video title: AIがログイン済みブラウザを操作する時代｜Pickle Browser
Short
Andrew Grove's classic on a manager's output, leverage, the constraining step, one-on-ones and task-relevant maturity — applied to running teams that include AI.
Video title: 忙しさは成果ではない｜HIGH OUTPUT MANAGEMENTの教え
Short
Adoption, ROI, use cases and barriers from Anthropic's official report — and what a Japanese enterprise should decide before it implements anything.
Video title: AIエージェントはもう実験ではない｜Anthropic 2026
Short
A practical guide to concentrating on the constraint that determines your overall result — including the new bottleneck that appears once you adopt AI.
Video title: 忙しい会社ほど成果が出ない理由｜名著『ザ・ゴール』
Short
The ten instincts that distort how we see the world, and how to design the right question before the fast answer — in business decisions and in how you prompt AI.
Video title: 賢い人ほど、世界の真実を知らない｜名著『FACTFULNESS』
Short
What disruptive innovation actually means, why excellent companies rationally miss new markets, and how to grow a new business on a different yardstick from the existing one.
Video title: 「なぜ、優良企業は失敗するのか」に人生をかけた男｜イノベーションのジレンマ
Short