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  "documentTitle": "Widening AI Value Gap 2025",
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      "text": "Software, telecommunications, and payments and fintech lead the maturity race in 2025, showing strong year-over-year development and boosting their positions on our index by 13 points, 11 points, and 7 points, respectively.",
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      "text": "Software, telecommunications, and payments and fintech lead the maturity race in 2025, showing strong year-over-year development and boosting their positions on our index by 13 points, 11 points, and 7 points, respectively. Fashion and luxury, chemicals, and real estate and construction remain at the lower end of the AI maturity curve.",
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      "text": "In sectors such as airlines and telecommunications, AI's contribution to value in core functions pushes 80% (up 15 percentage points (pp) and 8 pp, respectively, from 2024). Chemicals, oil and gas, and machinery and automation show the highest shift toward AI use in core functions, with increases of 14 to 19 pp.",
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      "text": "Regional differences are subtle. North America tends to be slightly ahead on most adoption metrics. Asia-Pacific follows, with Europe somewhat farther behind, though all regions have a mix of future-built and lagging companies.",
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      "text": "Agentic AI adoption varies, too: 51% of firms in North America are experimenting with or deploying agents versus 45% in Asia-Pacific and 41% in Europe. Interestingly, Asia-Pacific allocates the largest share of AI budget to agentic development (32% versus 29% in North America and 22% in Europe).",
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      "text": "There are big disparities in access to AI tools. In relatively immature sectors, less than 50% of employees have access to GenAI tools such as Copilot and ChatGPT. In relatively mature sectors, more than 70% of staff have access. We found disparities in training as well. Software companies plan to upskill 55% of their staff in the coming year while chemicals and machinery and automation firms plan to train less than 15%. Although access to tools and training is insufficient by itself to drive meaningful value, it is a strong indicator of whether a company or sector takes AI seriously.",
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      "text": "AI maturity, which we define as the ability to create value at scale, varies by sector. Maturity has advanced across most industries—but not evenly. New front-runners have emerged, legacy sectors continue to struggle, and sharp contrasts are visible in both capability adoption and workforce readiness. And though maturity varies across sectors, companies in each one have made cutting-edge progress.",
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      "text": "Asia-Pacific companies allocate the highest share of their IT budget to AI (5.2% versus 4.6% in Europe and 4.4% in North America), and these companies are reporting slightly higher value. Looking ahead to 2028, Asia-Pacific expects a revenue increase of 10% (versus 7% for Europe and 8% for North America) and cost reduction of 12% (versus 10% for others).",
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      "text": "AI Maturity Varies by Sector and Region",
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