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To unlock the full potential of AI-centric product development, companies must extend AI across the entire product development life cycle (PDLC) while also fundamentally redesigning the product development process itself and rethinking talent models.

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A small number of “Reinventors” (9%) have already met the high bar of building the capability for continuous reinvention. They’re making swift progress in executing their strategy and setting out to define a new performance frontier with technology at the core of their reinvention journey.

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by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024. The goal-driven capabilities of this technology will deliver more adaptable software systems, capable of completing a wide variety of tasks.

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Your AI strategy must be adaptive, or else it is useless. The dynamic nature of AI technology and the environments in which they operate necessitate adaptivity. This adaptability ensures that AI initiatives remain relevant and continue to deliver value over time.

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Our study found that workers can feel disengaged when they perceive that AI has taken control. Clear communication about how AI is assisting—not replacing—their contributions can help workers maintain a sense of ownership and fulfillment in their tasks.

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As multi-agent systems become more capable, adaptive and personalized, it will inspire greater diffusion through enhanced competence, growing to manage processes and entire functions, from streamlining travel to optimizing inventory.

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AI is remaking this process [digital product development] by integrating fragmented data sources of customer feedback and product usage into the development cycle, making it possible to build products in an accelerated manner that are linked to customer value from the outset.

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Everyday AI technology aims to help employees deliver work with speed, comprehensiveness and confidence. It supports a new way of working, where intelligent software is acting as more of a collaborator than a tool. The digital workplace is now entering the era of everyday AI.

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Responsible AI - a term that encompasses AI ethics, governance, other other risk-mitigation programs — is seen as an increasing priority for most organizations, as they focus on establishing safeguards and guardrails to ensure responsible AI utilization.

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By 2026, generative AI will significantly alter 70% of the design and development effort for new web applications and mobile apps.

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AI is remaking this process [digital product development] by integrating fragmented data sources of customer feedback and product usage into the development cycle, making it possible to build products in an accelerated manner that are linked to customer value from the outset.

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The age of handcrafted code, siloed software development lifecycle (SDLC) phases, and bloated SaaS portfolios is ending. What's replacing it? Application generation (AppGen) — a new paradigm that will collapse the software development lifecycle, democratize development, and redefine what it means to “build software.”