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「占いIPランドスケープ」

27/8/2026

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最近、「占いIPランドスケープ」という言葉があることを知りました。「占いIPランドスケープ」とは、本来は特許・市場・事業・技術などの客観的データを統合して意思決定を支援すべきですが、IPランドスケープが、十分な根拠や検証を欠いたまま、担当者の勘、願望、思い込み、恣意的な将来予測に依存している状態を、皮肉あるいは批判的に表した言葉ということのようです。単に「将来予測を行うこと」自体を批判する言葉ではなく、問題となるのは、例えば次のようなケースということです。
データから導ける範囲を超えて、将来の市場や競合行動を断定する
分析結果と担当者の主観・仮説が区別されていない
都合のよい特許や市場情報だけを選択して結論を補強する
予測の前提、確度、代替シナリオが示されていない
経営者が望む結論に合わせて、後付けでストーリーを作る
「占いIPランドスケープ」を避けるには、確認された事実、データに基づく推定、分析者の仮説、将来シナリオを明確に分けることが重要で、将来予測についても、単一の結論を断定するのではなく、前提条件、確度、反証可能性、複数のシナリオを示す必要があるだろうと思います。
生成AIに、「占いIPランドスケープ」について深掘りさせましたので、ご参照ください。なお、生成AIによる調査・分析結果は、公開された情報だけに基づくものであり、必ずしも実情を示したものではなく、誤った情報を含む可能性があることにご留意のうえ、ご参照ください。
 
 
“Fortune-Telling IP Landscape”
I recently came across the expression “fortune-telling IP landscape.” It appears to be an ironic or critical term for a situation in which IP landscaping—which should support decision-making by integrating objective data on patents, markets, businesses, technologies, and other relevant factors—instead relies on the analyst’s intuition, wishful thinking, preconceptions, or arbitrary predictions about the future, without sufficient supporting evidence or validation.
The expression does not criticize the act of forecasting the future itself. Rather, it refers to problems such as the following:
  • Making definitive claims about future markets or competitors’ actions that go beyond what the data can reasonably support
  • Failing to distinguish analytical findings from the analyst’s subjective views or hypotheses
  • Selectively using only favorable patent or market information to reinforce a predetermined conclusion
  • Failing to disclose the assumptions, confidence levels, and alternative scenarios underlying a forecast
  • Constructing a narrative after the fact to align with the conclusion desired by management
To avoid “fortune-telling IP landscapes,” it is important to clearly distinguish among verified facts, data-based inferences, the analyst’s hypotheses, and future scenarios. Forecasts should not be presented as a single definitive conclusion. Instead, they should specify the underlying assumptions, degree of confidence, conditions under which the forecast could be disproven, and multiple possible scenarios.
I asked generative AI to take a deeper look at the concept of the “fortune-telling IP landscape,” and I hope you will find the resulting analysis informative. Please note, however, that the research and analysis generated by AI are based solely on publicly available information and may not necessarily reflect the actual state of affairs. They may also contain inaccuracies, so please keep this in mind when reviewing the material.

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