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  "documentTitle": "Widening AI Value Gap 2025",
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      "text": "Adherence to our 10-20-70 rule for technology transformations will help speed the journey: 70% of a business’s strategic focus should be on the people and processes, 20% on the tech, and 10% on algorithms.",
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      "text": "The most important point is that time is short. The technology is advancing fast, making catching up more difficult with each passing week. Future-built companies are pulling away, widening the value gap, and putting slow movers in a deeper value hole. The others need to move now.",
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      "text": "Companies that are already scaling AI initiatives should invest (and reinvest their gains) in forward-looking capabilities, such as agentic AI innovation. (See Exhibit 9.)",
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      "text": "But articulating a clear ambition with a strong focus on value, as well as moving beyond a cost-only approach to emphasize innovation and competitive advantage, will put them on the right path. Future-built companies have given them a proven playbook to follow.",
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      "text": "(See Exhibit 10.) Our research shows that most roadblocks involve people, organization, and processes. In 2024, companies struggled with aligning AI to the overall strategy and establishing a business case, but now the priority has shifted to more concrete implementation challenges such as adoption of AI tools and management of unstructured data.",
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      "text": "Successful AI implementation requires active collaboration with the tech ecosystem to overcome adoption bottlenecks involving orchestration layers, system connectivity, and enterprise data strategies. For all companies, interoperability is critical. Without open standards, each agent is at risk of becoming a silo. Initiatives such as the Model Context Protocol promote reusability across workflows, reduce deployment costs, and help avoid vendor lock-in.",
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      "text": "Still, companies that try to jump straight into reshaping and invention without taking the preliminary step of building the necessary capabilities—such as an AI-first operating model, people skills, and relevant technology—typically fail.",
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      "text": "Each company will follow its own path, depending on its current capabilities. To identify the appropriate starting point, companies should assess and benchmark their current capabilities and highlight gaps with competitors. Laggards can follow the future-built playbook described in the previous chapter to move up the maturity curve, starting with a firm and bold commitment from top management and a sustained effort to translate business objectives into an overarching vision and strategy.",
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      "text": "Are you ready? CEOs and their boards must make deploying AI for value a top priority. Most will need to overcome organizational reluctance, complex IT, poor data integrity and access, and workforce concerns about job losses and AI weaknesses.",
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      "text": "How to Accelerate AI Value Creation",
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