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  "documentTitle": "Banking on AI Banking Top 10 Trends for 2024",
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      "text": "Figure 2. Banks can improve their productivity by up to 30% by adopting generative AI. Potential hours saved by industry, valuated at US annual occupation headcount and wages of 2022. US value only.",
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      "text": "AI has of course been around for a long time; most tech historians credit the English mathematician and cryptanalyst Alan Turing with having developed the concept in 1950. What is new is that cloud-based generative AI engines have reached the point where they are surpassing human capabilities in important respects. These progressively adaptive engines are advancing at an unprecedented speed, arousing both wonder and alarm in most parts of business and society. Within months of the launch of ChatGPT at the end of 2022, early adopters in the banking industry were exploring the most promising use cases. Today, little more than a year later, virtually every bank has a generative AI strategy of some description and is running a variety of proofs of concept. Many are reporting impressive results. The next 12 months will see scaled adoption across multiple parts of the organization, with the more ambitious banks using it as the foundation for what we call Total Enterprise Reinvention. Our analysis indicates that there are hundreds of use cases for generative AI in banking. Productivity is the most obvious benefit. As Figure 2 shows, there is greater potential to boost output in banking than in any other industry.",
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      "text": "Note: Estimates are based on human + machine identification of work tasks exposure to the impact of generative AI. Source: Accenture Research based on US BLS and O*Net data.",
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      "text": "Trend 1 | The rise of gen AI",
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