This slide discusses the anticipated impact of AI regulations. 39% expect high impact, with implications such as stricter data privacy measures and higher compliance costs. It also lists preparation strategies like updating protocols and implementing transparency measures.

Overview of emerging and existing AI regulations across the US, EU, China, Canada, Japan, and Australia. Covers data protection, GenAI use in schools, and ethical governance frameworks.

This slide shows the national landscape of established AI task forces by state. Most states have formed AI task forces, indicating growing regulatory attention and government-level strategic planning for artificial intelligence initiatives across the U.S.

Illustrates global support for AI-specific regulations, showing percentage agreement by country.

This slide tracks AI adoption in financial reporting across 10 industrialized countries. It shows the growth in adoption over six months and contrasts it with slower progress in some EU markets. It also discusses the impact of Gen AI on reporting.

Discusses public uncertainty regarding who should be responsible for addressing AI's societal impacts. Breaks down survey responses across categories like job protection, misinformation, and fairness, assigning responsibility to companies, governments, individuals, or unsure.

It illustrates the increasing influence of AI on companies' revenue, providing a visual comparison of revenue shares from 2018 to 2024, with projections highlighting significant growth areas.

Examines public confidence in how well governments can handle security risks if AI systems go out of human control. Canada is slightly above global average (43%) at 44%, while the U.S. is at 46%.

This slide presents the levels of concern about AI risks in compliance, including data privacy, hallucinations, bias, and job loss. A majority expressed concern over issues like data validity and governance. The right column provides strategic actions for compliance and board leaders to address these concerns and advance safely with AI in compliance functions.

Organizations cite content inaccuracy, cybersecurity, and IP risks as major concerns in adopting generative AI. There is a notable gap between risk awareness and active mitigation.

Highlights top AI-related risks: data privacy (66%), decision opacity (48%), and regulatory compliance (44%), suggesting key governance concerns.

Identifies risks amplified by GenAI such as data privacy, IP infringement, fairness, inaccurate outputs, and malicious use. Emphasizes broader organizational and societal implications.

This slide measures global concern over uncontrolled AI. It displays the percentage of respondents by country who believe such an AI program could cause global chaos, indicating rising or falling concern vs. 2023.

This slide evaluates global concerns about uncontrollable AI causing havoc. Malaysia and Philippines rank highest, while Hungary and Poland rank lowest. A comparison with 2022 perceptions is included, showing changes in sentiment for each country.

The slide explores the risks of AI and ML in the insurance industry, including governance structures and controls to ensure responsible use.

Analyzes the potential risks associated with AI in corporate communications, highlighting issues like misinformation and loss of human touch in messages.

The slide reflects that AI is viewed more as a risk than an opportunity in areas like national security, public services, and the economy. The sentiment has remained consistent since Sept 2023, revealing cautious public attitudes toward AI’s societal impact.

High-level roadmap showing how AI will impact trading and investment functions over three waves (2024–2034+), from basic to advanced AI assistants, data analysis, and automation.

The slide proposes three maturity-based paths for AI adoption: quick wins, test & learn, and scaling. Each stage includes actionable strategies such as diagnosing pain points, using ready-made tools, and building custom models to integrate AI into procurement.

This slide details the roles played by leadership, teams, consultants, and vendors throughout the AI adoption journey—from use case identification to value realization. It suggests a democratized approach with high leadership involvement early on and more vendor/consultant responsibility in later stages, especially for small firms needing external expertise.

Public confidence in the ability of governments to contain AI-based defense systems that malfunction or rebel is depicted. Most countries score below 50%, reflecting global uncertainty on AI risk management.

Discussion on new working groups, data guidelines, and human roles in managing generative AI security risks

This slide captures emotional responses to AI in New Zealand compared to global averages. It quantifies sentiment across three areas: perceived benefits, excitement, and nervousness. The data suggests a more cautious outlook among New Zealanders toward AI technologies.

Describes the internal and external skills and systems needed to successfully implement AI in procurement. It includes internal capabilities like data integration, compliance, and AI literacy, and external roles such as AI product managers, engineers, and data scientists.

This slide outlines how AI capabilities can be built within a company by leveraging existing teams and adding new AI-specific roles. It highlights skills in data management, compliance, AI product management, engineering, and data science.

The slide ranks countries by AI skill penetration based on LinkedIn self-reports. Germany ranks second after the US, with a 1.5x OECD average. This emphasizes Germany’s strong AI talent base and its inclusion among leading AI nations despite lower investment and startup funding.

The slide highlights gaps in workforce confidence regarding AI skills, particularly across demographics like gender, education, and geography. Only 36% overall feel confident using AI in work. Men, graduates, and Londoners report higher confidence levels. The data stresses the importance of targeted upskilling to reduce inequality in AI readiness.

This slide highlights Germany's position as a major but underfunded AI player in Europe. It shows Germany having a high number of AI startups but relatively low funding per GDP, suggesting untapped potential for leadership in AI innovation compared to countries like the UK and Switzerland.

Outlines KPMG's support model for AI transformation: developing strategy, ensuring compliance, empowering workforce, and building infrastructure. The slide serves as a consulting service value proposition for AI initiatives.

Encourages firms to act by developing AI-based strategies, standardizing data, and testing technologies before scaling. Practical advice is visualized clearly for quick interpretation.

Consolidates steps organizations are taking to advance AI integration: leadership involvement, ethical safeguards, pilot testing, and implementation of best practices in data and system management.

This slide summarizes seven strategic considerations for implementing AI in finance, covering priorities like planning, technology, transparency, and the role of auditors. It serves as a checklist or guide for finance teams integrating AI.

Shows that over 80% of leading companies focus AI investments on reshaping critical functions and inventing new products, not just deploying tools.

The slide outlines four strategic pillars for successful AI adoption: aligning AI with core competencies, building trust, establishing sustainable tech infrastructure, and cultivating an AI-driven culture. It provides detailed guidance on how banks can navigate AI transformation by addressing risk, improving data governance, and investing in workforce capabilities.

The slide shows widespread worry (73%) over AI-enabled surveillance violating privacy. The US (74%) and Canada (75%) align closely with global concern levels.

Compares perceived value across AI technologies like anomaly detection, machine learning, and genAI by leaders and others, highlighting industry-specific trends, especially in financial services and TMT sectors.

This chart illustrates global concern over AI-based defense systems potentially becoming a threat to humanity by escaping human control. With the global average at 60%, the US and Canada register 64% and 59% respectively, reflecting moderate anxiety over emerging AI risks in military contexts.

This slide presents survey results on perceived positive AI impact globally, emphasizing that emerging and Asia-Pacific markets see more benefits across information access, healthcare, learning, and work compared to the U.S. and Europe.

Illustrates how AI tools are utilized across various risk types within organizations.

Emphasizes growth in AI workforce training—from just 6% in 2023 to 29% in 2024. Despite the improvement, ~70% of firms still lag, suggesting a gap in full AI adoption readiness.

Details global perspectives on AI’s impact on jobs and daily life. Emphasizes rising concern levels, with a breakdown of expected job displacement likelihood by region. North America is shown as least concerned compared to others.

Outlines the four pillars necessary for successful AI transformation in procurement: assessing digital maturity, selecting appropriate tools, upskilling teams, and capturing value from suppliers. Emphasizes internal and external approaches and integration of various AI tools.

Outlines the challenges of progressing through GenAI transformation, identifying pain points at each phase—from piloting and value capture to scaling and cultural integration—with respondent data to highlight key barriers.

This slide compares generational trust in artificial intelligence versus people regarding fairness and bias. Gen Z and Millennials show higher trust in AI over people, with trust levels gradually decreasing among older generations.

Examines trust in AI companies across different age groups. Young adults (18–29) are shown to trust AI developers the most. Commentary includes ethical considerations surrounding privacy and feedback during AI-human interaction trials.

This slide presents a ranked comparison of 32 countries on how strongly their populations agree with understanding what AI is. It includes both 2024 and 2023 comparison data for each country and shows shifts in public confidence.

Highlights a country-level breakdown of AI training progress, showing Singapore (44%) and Japan (38%) as leaders. Brazil and Italy trail at 20%, under the global average. Shows disparities in AI preparedness by region.

Highlights early adoption trends in AI usage among the general population. Shows top tools used (e.g., search, chat, image generation), and indicates that AI is mostly used for learning. Includes survey data and clear icons to enhance understanding.

Analyzes AI usage maturity across industries, regions, and revenue groups. Shows current progress and forecasts growth. Emphasizes that larger firms tend to lead in AI adoption and transformation.

This slide lists the most common AI use cases implemented in finance, including research, fraud detection, and document processing. It compares leaders and other organizations in adoption levels and shows IT budget allocation to AI activities now and projected in 3 years.

Outlines key generative AI use cases in financial services such as fraud detection, customer service, compliance, and IT systems. Supports findings with survey data on AI implementation intentions and perceived value areas.

Public comfort with AI varies greatly depending on its application. People feel most comfortable when AI supports societal needs (e.g., traffic, healthcare), but uncomfortable with tasks involving content creation, surveillance, or political manipulation.

This slide shows that people who use AI are more optimistic about its benefits. AI users report higher perceived positive impact across domains like learning, working, and health, suggesting familiarity drives confidence.

Generative AI, while impactful, is part of a larger AI ecosystem. Traditional AI methods still contribute the majority of economic value. The slide quantifies the incremental and total economic potential.

This slide visualizes the delta between trust in AI and trust in people to avoid bias, illustrating where AI is perceived as more or less fair than humans. Positive values favor AI; negative values favor people.

This slide shows the percentage of people who are concerned about AI-powered weapons. Canada (73%) and the US (70%) are slightly above the global average (69%) in their concern.

Shows exponential growth in AI workloads, causing power demand to surge (10x more than traditional). Highlights strain on global utilities and grid systems due to constant AI processing and outdated infrastructure.

The slide highlights the trends in the beauty industry focusing on the adoption of AI, AR, and social media integration in virtual makeup and smart diagnosis devices.

The slide highlights Morgan Stanley's leadership in AI, showcasing current tools like AI@MS Assistant and future state interactions to enhance advisor-client experiences.

Outlines the major factors that influence the pace and extent of AI and automation adoption in industries, discussing technical, economic, and regulatory considerations.

This slide compares leading AI-enabled solutions in consumer intelligence and marketing measurement. It highlights strong performers and leaders in the market.

This slide compares leading AI-enabled solutions in consumer intelligence and marketing measurement. It highlights strong performers and leaders in the market.

The slide explores how AI has been successfully integrated into creative fields, providing examples of AI-generated works in music, art, literature, and media. It highlights the diverse applications of AI in the creative realm, showcasing its potential to innovate and transform traditional artistic processes.

This slide emphasizes the importance of data in optimizing artificial intelligence and presents data on the number of AI players by country. It compares the strengths of different regions in AI domains like natural language processing and machine learning, highlighting the global competition in AI development.

Describes the concepts of automated buying and interactive shelves in the context of AI and data era, highlighting how these technologies can improve shopping experiences and customer retention. The slide also includes trend assessments and industry impact projections.

Outlines the economic potential of adopting AI responsibly, highlighting different scenarios and their impact on economic growth.

This slide compares the share of active AI players in various sectors between France and other countries, highlighting France's strengths in AI.

This slide highlights areas where France lags in AI adoption, particularly in industrial and corporate banking sectors, compared to other countries.

The slide explores the transformative potential of AI across various sectors, outlining future applications from 2030 to 2050. It discusses the impact of AI on healthcare, trust and governance, sustainable business practices, and service innovation, emphasizing how AI could fundamentally change these areas.

Summarizes key figures on AI and Gen-AI in banking, highlighting adoption rates, revenue impact, and productivity improvements.

Shows how AI and GenAI accelerate procurement by automating 75% of tasks. Highlights AI applications across the procurement value chain (e.g., intake, contract management, payments). Each step is broken down with sample automation and GenAI use cases.

The slide presents forecasts for the AI healthcare market, expected to grow at 37% annually until 2030. It outlines how AI enhances diagnosis speed, reduces administrative workload, and supports chronic disease management. Emphasis is placed on the expanding role of AI in transforming healthcare delivery.

The slide discusses the mixed reactions to the growing power of AI, presenting survey results that show both enthusiasm and concern about its use. It emphasizes the importance of maintaining human values in AI development and includes perspectives from prominent figures in the technology industry.

This slide explores the potential impact of AI on different segments of the education sector, highlighting areas like testing, assessment, and corporate training.

This slide emphasizes the impact of AI/ML on business, showcasing past performance and future targets, with mentions of use cases for personalization and client relationships, as well as the growth of the AI team.

This slide discusses the application of AI in business, listing foundational methods and practical use cases such as risk management and service operations optimization. It suggests a growing adoption of AI across industries.

Discusses shifts in public and media focus regarding AI, from job displacement concerns to privacy and job creation opportunities.

Discusses how AI and NLP technologies are used to extract information for underwriting, segmented by business size.

The slide ranks Nigeria low in AI preparedness among Sub-Saharan African nations, with a score of 0.34—below the global average of 0.67. Insights emphasize the urgent need for investments in infrastructure, policy, and skills to leverage AI’s economic potential and competitiveness in the digital age.

The slide discusses the growth of AI firms in private domains, highlighting their stages in venture capital and private equity funding rounds. It provides data on the geographical distribution of these firms and their likelihood of going public, with a focus on future growth and public market potential.

Examines the positive changes in productivity, confidence, and stress management reported by sales professionals using AI tools.

Discusses the workforce skills necessary for effective AI adoption in enterprises, focusing on areas like technical skills and cognitive abilities, based on a global survey.

This slide provides an overview of global spending on AI systems across industries, emphasizing the limited adoption of AI in education and explaining the reasons behind it.

The slide evaluates the impact of AI on achieving global sustainable development goals by 2030, suggesting that AI is more often seen as an enabler rather than an inhibitor. It presents data on AI's potential to contribute positively to various societal categories, such as no poverty, quality education, and clean water and sanitation.

Compares current and projected total addressable market (TAM) for AI, digital infrastructure, and fiber. Notes a shift from training to inference usage by 2030. Emphasizes the strategic opportunity for Uniti in the AI infrastructure space.

Discusses AI's role in enhancing team effectiveness, learning, and morale across different organizational contexts.

Highlights the uptake of AI technologies in business with an emphasis on operational applications, signaling a trend towards digital transformation and the integral role of AI in business strategies.

Provides an overview of the phases of AI development, highlighting key characteristics and advancements in each phase.

Analyzes the projected impact of generative AI on working hours across various industries and countries.

Highlights differences in perception between executives and workers regarding the impact of AI on job security and workplace integration.

It details Ipsos’s AI and advanced analytics platforms, explaining how they help clients sense and respond in real time using various data sources and technologies.

Describes various emerging technologies like AI, blockchain, APIs, and automation, and their transformative impact on the financial services industry.

The slide highlights advanced AI, blockchain, and IoT as top transformative technologies and shows tech roles that are hardest to fill.

Highlights the significant role of AI in enhancing company performance in the U.S., with insights from industry leaders on how AI is transforming business operations and strategy.

Discusses the importance of AI in business, noting that 94% of business leaders believe AI is crucial for success over the next five years. This slide is suitable for presentations on digital transformation and its impact on business growth.

This slide outlines how AI and emerging tech, particularly GenAI, are driving capital expenditures in the US. It shows a 45.7% increase in big tech capex and a rising trend in humanoid robotics investment, with corporate implications focused on AI readiness and strategy.

The slide illustrates public sentiment about the inclusion of new technologies in school curricula. Many countries believe current curricula allocate too little space for topics like AI and coding, revealing a push for modernization.

Discusses the transformative potential of AI in corporate communications, its risks, and how organizations are adapting AI tools for efficiency and engagement.

This slide presents data on how AI influences competition in business, emphasizing the advantages of being an early adopter in technological advancements.

This slide explores how organizations are using or planning to use AI for compliance activities. It presents a chart showing the level of AI adoption across 15 areas such as fraud detection, training, and transaction monitoring. The text discusses how AI is expected to positively impact compliance, with 71% expecting a net benefit.