「自分でやったほうが早い」の呪縛を解け――『The 4-Hour Workweek』第8章に学ぶ、自己置換のシステム工学

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「優秀なプレイヤーほど、自らの優秀さによって組織の致命的なボトルネックになる」――この残酷なパラドックスから脱出する処方箋が、ここにある。

本稿で取り上げるのは、ティム・フェリスの世界的名著『The 4-Hour Workweek』より、『第8章: 人生のアウトソーシング――外部委託と地理的アービトラージ（Outsourcing Life: Off-Loading the Rest and a Taste of Geoarbitrage）』だ。

多くの読者はこの章を「時給数ドルのインド人バーチャルアシスタント（VA）を使って雑用を丸投げするライフハック」として軽薄に消費してきた。しかし、その解釈は致命的な皮相論にすぎない。本書が提示している真の問いは、「なぜ私たちは、自分自身をシステムで置き換える訓練を恐れるのか？」という組織工学の根源的な課題である。

個人がプレーヤーから「システムの設計者・指揮官」へと越境するためのマネジメント訓練、タスクの外部委託において発生するコミュニケーション摩擦の構造、そして意思決定のアルゴリズム化。本稿では、フェリスが提示した冷徹なロジックを解剖し、現代の組織運営と個人の生産性に通底する実践知を提示する。

現場を縛る見えない壁と誤謬

なぜ、多くのナレッジワーカーやスタートアップのリーダーは、仕事を人に任せることができないのか。そこには実務現場を麻痺させる3つの構造的誤謬が存在する。

1. 「自分でやったほうが安い」というサンクコストの罠

第一の誤謬は、自己の機会費用を無視した「自作のコスト錯誤」である。フェリスは痛烈に指摘する。「自分が時給25ドル相当の価値を生むべき人間なら、誰かが時給10ドルでやってくれる作業に自分の時間を投じるのは純粋な資源の浪費である」と。

「自分でやればタダ」「人に頼むとお金がかかる」という感覚は、キャッシュアウト（出金）だけをコストとみなし、不可逆な時間資源の流出をゼロと見なす致命的なバイアスだ。仮に時給30ドルの優秀なアシスタントに週8時間の作業を委託し、自らの実質時給が25ドルだとすれば、差額の差し引きは週わずか40ドルの支出にすぎない。「週40ドルを払って、自由な丸一日（8時間）を買い戻せるか？」という問いに対し、目先の支出を惜しむ者は、永遠にレバレッジの効かない泥沼の作業にとどまり続けることになる。

2. 「時給単価」にとらわれ、「完了単価」を見失う誤謬

第二の誤謬は、委託先選定における「見かけの単価トラップ」だ。フェリス自身、初期の実験で手痛い失敗を犯している。時給10ドルの海外VAに3つの調査・日程調整を依頼したところ、指示の曖昧さと言語の壁からVAが迷走し、23時間（計230ドル）を費やした挙句、間違った日時のアポイントを1件取っただけで終わってしまった。一方、時給25ドルの英語母語話者に同じタスクを依頼したところ、わずか2時間（計50ドル）で4倍以上の成果を完璧に納品したという。

ここから得られる冷酷な鉄則は、評価指標とすべきは「時間あたりの単価（Cost per hour）」ではなく「完了タスクあたりの総コスト（Cost per completed task）」であるという事実だ。委託側のリテラシーが低く、差し戻しや確認のコミュニケーションコストが4倍に跳ね上がるなら、表面上の時給差など一瞬で吹き飛ぶ。

3. プロセス不在のまま人に投げる「カオスの外注」

ビル・ゲイツの有名な格言をフェリスは引用している。 「効率的なオペレーションに自動化を適用すれば効率が拡大するが、非効率なオペレーションに自動化を適用すれば非効率が拡大する」

これは外部委託でも全く同じだ。多くの組織が「忙しいから人を増やそう」「アシスタントに投げよう」とするが、そもそも作業フローや合格基準が定義されていない業務を他人に渡せば、混乱と手戻りが掛け算で増大するだけだ。フェリスが「委託の前に、まず徹底的に削除せよ（Eliminate before you delegate）」と繰り返し叩き込むのはこのためである。

以前の記事「忙しいフリ」をやめられない組織の病理――『The 4-Hour Workweek』第5章に学ぶ、パレート×パーキンソンの破壊的シナジーでも詳解した通り、そもそも不要な作業は効率化する価値すらない。削除できないものを自動化し、自動化できないものだけを初めて委託へと流す。この順序を取り違えた瞬間、委託はただの「高コストな混乱の外部化」へと成り下がる。

核心フレームワークと実践モデル

では、フェリスはどのようにして「自分を代替可能な仕組み」へと還元していったのか。本章で提示される実践モデルは、極めて緻密な生産工学に基づいている。

1. タスク選別の意思決定アルゴリズム

タスクが目の前に現れたとき、それをどう処理すべきか。読者の Jed Wood が考案し、本書で絶賛された意思決定フローチャートは、ナレッジワークにおけるタスク仕分けの決定版と言える。

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

このモデルの秀逸な点は、最初の分岐が「自分がそれを心から楽しめるか？（Will I enjoy this?）」から始まる点だ。楽しめないタスクに対してのみ、「収益を生むか（Is it income generating?）」「委託可能か（Can it be outsourced?）」「法的・社会的な義務か（Obligation?）」という厳格なフィルターを適用する。義務でもなく収益も生まないものは即座に「削除（ELIMINATE）」し、委託可能なものは外部アシスタントへ回す。この規律を徹底することで、個人の脳内リソースは「自らが直接レバレッジをかけるべき核心業務」にのみ集中投下される。

2. 「曖昧さの排除」を実現する5つの指示プロトコル

フェリスが自らの失敗から導き出した「指示出しの工学」は、あらゆるマネジメントの現場で即座に機能する金言に満ちている。

1. 解釈の余地を1つに絞る（小学2年生レベルの明瞭さ）: 難解な専門用語や抽象的な形容詞（「いい感じに」「網羅的に」）は、指示者の思考の怠慢を覆い隠すヴェールにすぎない。文脈を共有していない第三者が読んでも、唯一の解釈しか成立しないレベルまで言葉を研ぎ澄ます。
2. 「質問があれば聞いて」を禁じ、復唱（Rephrase）を義務付ける: 初心者の上司は「分からなければ聞いてください」と結びがちだが、相手は「何が分からないかすら分かっていない」か「質問すると無能と思われる恐怖」から沈黙する。真に必要なのは、「作業着手前に、あなたが理解した作業手順とゴールを自分の言葉で返信せよ」と求める確認プロトコルだ。
3. パーキンソンの法則を逆手に取る時間制限（Time Cap & Short Deadline）: 作業上限時間をあらかじめ指定する（例：「3時間作業した時点で一度中断し、そこまでの結果を報告せよ」）。締め切りも1週間先ではなく「24〜72時間以内」に細分化する。締め切りが遠いほど、タスクは際限なく膨張してコストを食い潰す。
4. タスクの並列投入を避ける（1度に1〜2件まで）: 一度に大量の未整理タスクを投げつける行為は、PCのブラウザでタブを100個開いてメモリをクラッシュさせる行為と同じだ。キュー（Queue）を管理し、シリアルに消化させる規律を依頼側が持たねばならない。
5. 単一障害点（SPOF）の排除とチーム制（Redundancy）の確保: 個人オペレーター1名に依存すると、その人物が病気や事故で離脱した瞬間に業務が完全停止する。バックアップ要員を擁する組織体（ファーム）と契約し、単一障害点を排除して冗長性を担保することが、事業の継続性を守る最低条件となる。

で、私（筆者）はどう考えるか？

委託の本質は「安価な労働力」ではなく「自己思考のアルゴリズム化」である

本書の刊行から年月が経ち、いまやビジネスの現場は「海外VA」だけでなく「生成AI・自律型AIエージェント」の実装期へと突入している。しかし、フェリスが第8章で突きつけた本質的価値は、AI時代においてむしろ何倍もその重要性を増している。

私たちが学ぶべき真の教訓は、「他者（あるいはAI）に業務を委託するプロセスそのものが、自らの脳内にある暗黙知を完全な形式知（アルゴリズム）へと変換する最も過酷な訓練である」という点だ。

多くのマネージャーや専門職が「他人に任せるより自分でやったほうが早い」と愚痴るのは、他人の能力が低いからではない。自分自身の意思決定ロジックが言語化・構造化されておらず、自分でも何が「合格基準（Definition of Done）」なのかを論理的に説明できないからだ。

「割り込み」を殺せ――ティム・フェリスが暴く知的生産のボトルネックと「拒絶のシステム工学」で論じられたバッチ処理や権限委譲ルールも、そしてアンディ・グローブがトースター待ちで冷める卵――『High Output Management』に学ぶ、ナレッジワークを劇的に変える「制限ステップ」の力学で説いた「制限ステップ（ボトルネック）からの逆算設計」も、すべて同じ地平を指し示している。

マネジメントとは、自分が現場で汗を流すことではない。他者やシステムが迷いなく動ける「ガードレール」と「入力・処理・出力の仕様書」を設計することだ。

現代における落とし穴：「委託」と「放棄」の履き違え

一方で、現代の組織運営において警鐘を鳴らさねばならないのは、「委託（Delegation）」と「丸投げ・放棄（Abdication）」の混同である。

フェリスのエピソードには、妻への謝罪メールや自身の個人的な悩み（不安）の解消すらVAに外注するという、ユーモラスでありながら一歩間違えればグロテスクな実験が登場する。実務において、タスクを外に出すことばかりに熱中し、「そもそも自組織が提供すべきコアの価値判断」や「ステークホルダーとの本質的な人間関係」まで外部化しようとするリーダーは必ず自滅する。

委託してよいのは「反復可能で、ルール化でき、かつ時間消費の大きい定型プロセス」に限られる。何を創り、どの市場で戦い、誰と信頼関係を築くのかという「文脈と意思決定のコア」は、どれほどコストを払っても他人に外注することはできない。外注化とは、コアに100%の知性を注ぎ込むために、周辺のノイズを冷徹に削ぎ落とす外科手術なのだ。

まとめ ＆ アクション指針

ティム・フェリスの「人生のアウトソーシング」は、単なる個人事業主の怠惰なサボり術ではない。それは、「自分がいないと回らない組織」という甘美な自己満足を捨て去り、自らを組織のアーキテクチャから切り離すための覚悟の訓練である。

明日からの意思決定と組織設計に向けて、以下の指針を実践してほしい。

1. 「自分でやったほうが早い病」の自覚: あなたが手を動かして解決した瞬間、組織はスケールする機会を永遠に失う。自分がタスクを抱え込んでいるのは「優秀さの証明」ではなく「システム設計の怠慢」であると認識せよ。
2. 「Eliminate before you delegate」の原則遵守: 人に任せる前に、まずそのタスクそのものをこの世から消せないか疑え。非効率な業務を人に委託することは、他人の時間と自社の現金をドブに捨てる行為に等しい。
3. 指示文の「復唱テスト」を組み込む: 「質問があれば連絡して」を即刻やめよ。タスクを依頼する際は、「ゴール」「上限作業時間（Time Cap）」「着手前に理解したプロセスを返信すること」をセットで義務付けよ。
4. 単一障害点（SPOF）を潰す: 「その人が倒れたら業務が止まる」属人化を放置してはならない。手順をドキュメント化し、ペアリングやチーム体制を敷くことで、業務の冗長性を意図的に設計せよ。

他人に仕事を任せられない人間は、どれほど才能があっても一生「作業員」の座から降りることはできない。自分自身を代替可能な仕組みへと落とし込む知的な勇気こそが、次のステージの生産性を切り拓くのだ。

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📊 本日の自律型 AI ドキュメント解析レポート

• 解析対象: timothy-ferriss-the-4-hour-work-week-harmony.pdf (p.142-171 (計 30 ページ / 全 430 ページ))
• 判定ジャンル: business
• 対象章・セクション: 第8章: 人生のアウトソーシング――外部委託と地理的アービトラージ
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