Table of contents for a report on AI autonomy, outlining sections such as The Binary Big Bang, Generative UI, and Learning Loops. Each section includes page numbers and subtitles indicating the theme.

Providing a brief overview of practical AI use cases in different industries and their respective benefits, emphasizing the transformative power of AI.

This slide continues to highlight the financial importance of AI, showing potential value in various business functions and the correlation between AI maturity and financial performance.

AI accuracy has steadily improved, overtaking human performance in vision, speech, and language tasks by 2016–2017. The chart shows technology maturity across domains and the inflection points of AI advancement.

It identifies different levels of AI adoption among organizations, categorizing them into Achievers, Builders, Innovators, and Experimenters based on their AI capabilities and performance.

This slide demonstrates how shorter innovation cycles contribute to stronger AI activity, supported by data comparing innovation cycles in China, USA, and France.

Presents data on the high rate of AI adoption among C-level executives and companies with significant annual revenue, indicating a trend towards widespread AI implementation.

The slide compares Indian and global retail CEO perspectives on AI adoption, revealing higher optimism and expectations in India. Charts show GenAI's impact on efficiency, revenue, and profitability. It also notes marginal headcount changes and limited AI workforce integration, highlighting early-stage adoption and varied strategic focus across companies.

Analyzes the gap between perceived importance and actual attention given to AI-related attributes such as privacy, transparency, and explainability. Highlights critical blind spots in AI governance practices.

Focuses on integrating AI into business processes, highlighting the importance of collaboration between tech teams and business units for effective AI adoption. Stresses on both the financial and transformational impacts of AI with real-world business examples.

Offers eight key principles to guide organizations in adopting AI for customer experience improvements. Covers readiness assessment, ethical frameworks, clear use cases, role definitions, and scalability.

The slide presents data on generative AI adoption across different business functions like IT/cybersecurity, marketing, and more. The data is categorized by levels of expertise, ranging from 'Little' to 'Very high'. The largest circles indicate the highest adoption and expertise levels. This could be used in presentations to highlight areas of focus for AI skills development or to showcase industry benchmarks in AI expertise. The data is from a survey conducted in Q4 2023, with 2,835 responses, indicating a strong inclination towards higher expertise in IT and product development.

The slide outlines how AI is being adopted across various finance functions, including planning, accounting, and risk management. It shows a bar chart visualizing the extent of AI adoption across areas, highlighting how AI is becoming a game-changer. The text provides regional insights and quotes an executive emphasizing trust and transparency.

Details projected financial benefits for banks adopting AI, emphasizing significant gains in productivity, revenue growth, and return on equity, suitable for financial strategy discussions.

Presents key findings on AI adoption in financial reporting, showing high current and projected adoption rates. Highlights geographic and industry-specific adoption stats and the strategic role of AI in IT budgets and board decisions.

Highlights variations in AI adoption attitudes across different generations and geographical locations.

Examines the global state of AI adoption across various industries and countries, noting areas where France needs to improve.

Discusses the necessary enablers for adopting AI within organizations, emphasizing governance and skills.

Discusses key organizational questions for generative AI adoption, including managing culture, strategic workforce planning, and operational model design.

It highlights that organizations with high expertise in Generative AI are adopting and scaling the technology more rapidly and extensively, investing in various areas like hardware, cloud, and code generators.

Demonstrates increasing engagement with AI among Southeast Asian users, especially through smartphone use. Search trend data confirms a steady rise in interest in AI topics across countries, highlighting a fertile environment for AI adoption in consumer and business applications.

This slide outlines the top AI-related strategic bets scaled by companies across various industries, ranked by the percentage of firms adopting each. It highlights the leading AI initiatives by sector, from fraud detection to agent enablement.

Discusses the slower adoption and piloting rates of AI among French companies compared to other countries.

The slide evaluates AI adoption trends (flatlining at ~50% post-2018) and shows growing diversity in AI use cases (e.g., robotic process automation, NLP). Emphasis is placed on emerging generative AI models like GANs and transformers.

The slide lays out a roadmap for AI adoption: from general productivity tools to specialized and complex use cases. It emphasizes trends like infrastructure consolidation and industry divergence, indicating a shift toward tailored, high-impact AI applications in sectors such as legal, financial, and industrial operations.

Introduces the report’s purpose, highlighting banks’ experimentation with AI agents and challenges in scaling. Emphasizes opportunity to realize efficiencies and sets up a structured framework for adopting AI tools.

This slide highlights global perspectives on the role of AI agents in 2025. Countries like the US, Japan, and UAE show high percentages of companies viewing AI agents as having a central or exploratory role. A global average of 67% indicates strong optimism around AI deployment.

Highlights AI assistant capabilities for corporate banking clients across knowledge and automation use cases. It describes functions such as payment help, financial advice, product setup, and integration support.

This slide compares generational expectations for job change due to AI from 2023 to 2024. Younger generations (Gen Z, Millennials) continue to show higher belief that AI will impact their work, with slight increases across all age groups year-over-year.

Examines generational attitudes toward AI, cost-of-living sensitivity, and ESG preferences. Younger consumers are more impacted and more willing to pay for personalization and sustainability.