This report projects the trajectory of generative AI adoption, emphasizing its expansion into core business processes by 2030. It outlines three phases: experimentation, scaling, and transformation, with most industries currently between the first two. The study highlights cost-saving potential, workforce augmentation, and creation of new value streams. Challenges include high infrastructure costs, regulation, and ethical dilemmas. Recommendations include investing in skills, building governance frameworks, and developing hybrid human-AI workflows. By embedding GenAI responsibly, organizations can evolve from tactical pilots to enterprise-wide innovation, shaping competitive advantage in the digital economy.

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