This slide displays the percentage of respondents in 32 countries who claim to know which products and services use AI. Results show significant variation, with higher knowledge in Asia and lower in Europe/North America. Includes 2023 data comparison.

The slide focuses on improving aircraft delivery confidence for 2025, with 83–93% of executives expecting growth. It highlights OEM production plans and supply chain adjustments following a turbulent 2024, and features delivery outlook visuals segmented by aircraft type and year comparison.

Summarizes the aircraft sector's performance, showing order and revenue trends and EBITA. Outlines expectations related to specific aircraft programs and R&D activities.

The chart forecasts record aircraft deliveries in 2025 and beyond, exceeding $100 billion in estimated value. It emphasizes increased funding needs for new passenger aircraft and strong demand in the aerospace industry.

The slide depicts BOC Aviation’s aircraft investment activity across different market cycles, including financial crises and COVID-19. It emphasizes opportunistic investments during downturns and a robust aircraft orderbook of 231.

Showcases Aircastle's aircraft management strategy, highlighting buying and selling trends to optimize portfolio.

Details changes in Aircastle’s aircraft portfolio composition over seven years, focusing on investment strategy.

This slide shows a growing margin from aircraft sales, rising to 14% in 1H 2024. Gains stem from increased appraised values relative to NBV, reflecting improved market conditions and aircraft valuation post-COVID.

The slide highlights the desire for more government regulation and global collaboration on AI technologies. It presents data showing a significant majority of business leaders advocating for these measures to manage the unique risks of generative AI, raising concerns about leaving regulation solely to individual organizations.

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.

Discusses the proposed EU regulations for AI, detailing risk categories, compliance requirements, and the impact on AI applications across various sectors.

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.

This slide discusses how AI is reshaping the retail sector through personalized customer interactions, smarter logistics, and data-driven insights. It includes insights from retailers and CEOs, plus a projected growth chart showing the global AI retail market increasing from $11.61B in 2024 to $40.2B by 2030.

The slide highlights the increasing influence of AI on company revenue, presenting projected data on AI investments and their expected impact by 2024.

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 addresses the implementation of AI and advanced analytics in risk management, highlighting the current adoption rates and potential risks associated with these technologies. It discusses the importance of integrating AI to enhance business innovation and operational excellence.

This slide outlines various aspects of risk management throughout the AI development lifecycle, from strategy adoption to operation and monitoring. It is likely used in presentations addressing the integration of risk management into AI development processes, discussing detailed points like data privacy, cloud use, validation metrics, and deployment pipelines among others. This makes it suitable for audiences involved in AI development and risk management within the technology sector.

Analyzes the critical AI applications for managing risks and improving AI ethics in businesses.

Examines how organizations manage AI risks, emphasizing training and collaboration on AI ethics as key strategies. Highlights differences in approaches between high- and low-outcome organizations.

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.

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

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

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.

Forecasts suggest airline seat capacities will exceed 2019 levels by H1 2023. The slide also highlights industry pressures such as resource scarcity, labor shortages, and rising fuel costs. Aerospace orders have rebounded, especially in the US and Europe.

This slide analyzes trends in the global airline industry, focusing on the aging fleet of commercial aircraft in the U.S. and the increase in passenger miles flown. It provides insights into the operational dynamics and growth of the airline sector.

Highlights projected industry growth to $1 trillion by 2025, led by rising passenger demand and AI-driven efficiencies. Includes regional airline profit forecasts and delivery trends by aircraft type. AI’s role in improving customer satisfaction and cost efficiency is emphasized.

Evaluates reasons why buyers choose offline vs. online purchasing for airlines, with emphasis on trust and transaction value.

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.

Highlights the top technologies driving innovation: AI (84%), robotics (42%), and decarbonization (28%), suggesting where future investments and strategic focus may lie.

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.

Slide compares growth in global air passenger traffic, which remains positive, against air freight which fluctuates and is impacted negatively by trade issues.

Compares international air passenger numbers among Australian cities, noting Melbourne's lower figures and the implications for global connectivity.

Discusses the applications and benefits of using Copernicus data for air quality monitoring, emphasizing the improvement in data quality and accessibility, and its impact on policy making and environmental compliance.

Provides an overview of the impacts of air quality on public health, focusing on DALY metrics to illustrate the global burden of disease linked to air pollution. Discusses the role of monitoring and policy in improving air quality standards.

The slide highlights how people in different countries perceive the impact of moving to renewable energy on air quality. Indonesia, Ireland, and Türkiye show the highest optimism, while Japan and Thailand exhibit the least.

This slide tracks global air trade growth, showing strong increases throughout 2024, especially in Q3 and Q4. The data reflects preemptive trade activity ahead of anticipated tariffs and continued global uncertainties.

The slide compares the number of short, medium, and long-haul flights over fiscal years, showing trends and changes in business travel for the company.

Assesses the recovery in air travel with domestic flight booking trends, indicating a slow return to pre-pandemic levels.

This slide shows recovery trajectories of air travel from 2019 to 2022, indicating stronger recovery in the US and Europe compared to China. It includes domestic, continental, and intercontinental trends. Europe leads recovery, while China lags behind due to strict Covid policies.

This slide analyzes the likelihood of consumers avoiding flights to reduce their carbon footprint. It presents comparative data across different countries, offering insights into changing travel behaviors due to environmental concerns.

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.

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

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 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.

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.

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 explores attitudes toward banning AI and smartphones in schools. While opinions on banning AI are split, there is broader agreement (especially among parents) on banning smartphones.

Explores how organizations develop AI solutions over time, detailing the percentages of methods adopted based on their experience with AI, from in-house development to purchasing packaged solutions and consuming services. Discusses insights from a sector expert.

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.

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.

Focuses on the business perceptions of France's readiness to support AI advancements, highlighting both the optimism about public initiatives and concerns regarding funding and international competitiveness.

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

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.

This slide examines the anticipated impact of generative AI on the workforce and talent strategies. It includes predictions on the timeline for these changes and highlights the need for education on AI capabilities, signaling potential shifts in skill requirements and employment landscapes.

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.

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.

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.

Discusses the foundational to advanced operational capabilities required for embedding AI in business processes, emphasizing data and automation, AI integration, and best practices.

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

Discusses the structural and capability growth within AI sectors, projecting significant market expansion through 2023.

Analyzes AI use in the technology, media, and telecommunications industries, showing how AI supports various business operations and enhances customer experience, highlighting key areas like cloud pricing and customer feedback analysis.

Discusses the convergence of technology and talent in AI strategies, highlighting how companies acquire AI capabilities through hiring or technology purchase, stressing the importance of aligning tech and talent strategies.

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.

This slide discusses when generative AI is likely to have a transformative impact on organizations, with a focus on the near-term future, as depicted by the pie chart and supported by a professional imagery.

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.

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.

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 New Zealanders' understanding of AI in comparison with global averages. It measures agreement with two statements: understanding AI conceptually and knowing which products/services use AI. It also includes percentage changes since 2021.

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.

Discusses the roles and penetration of AI in underwriting, indicating areas with room for increased AI implementation.

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.