Noah Barsky
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Forbes JAPAN 公式サイト(フォーブス ジャパン)
AI(人工知能)の能力は、多くの組織が運用化し収益化する準備が整うよりも速く進化している。急増するAI投資は高い価値創造への期待を反映している一方で、期待値を高め、成果に結びつかない戦略への忍耐を短くしている。これは多くの経営幹部が直面している静かな緊張である。 このギャップは、KPMGの2026年第1四半期AI四半期パルス調査に明確に表れている。この調査は米国の上級リーダー237人を対象としたものだ。平均的なAI投資予測額は前年比でほぼ倍増し、1億1400万ドルから2億700万ドルとなった。しかし、65%がユースケースの拡大の困難さ(前四半期の33%から増加)を挙げ、62%がスキルギャップ(25%から増加)をROI実現の最大の障壁として指摘している。この課題をさらに悪化させているのは、従来のROIモデルが生産性やパフォーマンスの向上に遅れをとることが多く、リーダーが最も確信を必要とする時に価値を曖昧にしていることだ。...
4 AI Strategy Questions Every Executive Needs To Drive ROI
A KPMG study of 237 US executives reveals why AI ROI remains elusive — and what organizations getting it right do differently. getty AI capabilities are advancing faster than many organizations are ready to operationalize and monetize them. While soaring AI investment reflects high value creation hopes, it also raises expectations and shortens patience for strategies that don’t translate into results. That’s a quiet tension facing many executives.
4 AI Strategy Questions Every Executive Needs To Drive ROI
A KPMG study of 237 US executives reveals why AI ROI remains elusive — and what organizations getting it right do differently. getty Soaring AI investment reflects a belief in its potential to create value, but also raises expectations and shortens patience for strategies that don’t translate into results. Many executives now face a widening tension — AI capabilities are advancing faster than organizations are prepared to operationalize them.
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