Discusses the trends and implications of AI in consumer markets, including how AI technologies are being integrated into various consumer business practices and their impact on market dynamics.

Examines the impact of AI on customer service in wealth management, forecasting significant adoption in coming years.

Discusses the effectiveness of AI debiasing algorithms in improving fairness while balancing accuracy.

This slide captures international sentiment on the perceived risk of AI-driven defense systems losing human oversight. The global average concern is 60%, with the U.S. matching this rate and Canada slightly lower at 56%.

This demographic breakdown shows how different groups perceive AI’s likelihood to change or replace their current job roles. Gen Z and decision-makers show the highest belief in job changes due to AI.

This slide outlines beliefs about AI’s macroeconomic effects. While developing nations are more optimistic, developed countries like New Zealand show lower confidence in economic benefits from AI.

Highlights the disparity between France's strong academic presence in AI and its limited deep tech funding compared to RoW and Europe.

Discusses incremental changes brought by AI-based technologies in education, including personalized learning, virtual tutors, AI learning patterns, and inclusivity through speech recognition.

Analyzes expectations regarding AI's impact on employment within American companies in France, suggesting a limited effect on job numbers despite the technology's growing influence.

This slide presents public opinion data from 29 countries on whether AI will create new jobs domestically. It ranks countries by perceived likelihood, with a global average of 43% likely.

The slide illustrates public opinion on AI's positive influence on entertainment. Peru and Indonesia lead optimism, while Gen Z is most hopeful among demographic groups.

Describes KPMG’s strategic approach to developing and deploying trustworthy AI systems. Emphasizes ethical AI, fairness, transparency, safety, and sustainability. The circular diagram segments AI development into phases and principles. This slide outlines a framework for responsible AI implementation aligned with corporate values and governance.

Reviews the application of AI in financial services, emphasizing its role in improving customer experience and optimizing operational and financial processes, particularly highlighting trends in automation and data privacy.

The slide indicates that 88% of CFOs believe AI will improve forecast accuracy and predictability. It highlights the adoption roadblocks for AI in finance, such as risk and reliance on legacy systems.

This slide presents global comparisons of opinions on whether AI will change or replace jobs in the next five years. It ranks countries based on perceived likelihood, highlighting global disparities.

This slide presents survey data on global and demographic attitudes toward AI products and services, focusing on whether people think AI brings more benefits than drawbacks.

Sector analysis from 2018–2024 shows growing investment in AI, enterprise software, and healthcare (especially pharma & biotech). Despite fluctuations, these sectors consistently attract high funding and deal activity across the Americas.

This slide highlights perceptions of AI’s role in improving personal health. While optimism is low in many developed countries, younger generations and higher earners are more hopeful.

This slide displays New Zealanders' perspectives on AI’s future effects across domains such as productivity, entertainment, health, and employment. Results show mixed optimism, especially for job markets.

Details AI utilization across different company sizes and sectors, predicting significant increases in usage within the next three years.

This slide categorizes various AI use cases across infrastructure and technology in financial services, segmented into three waves. It outlines activities like code development, documentation, and automation with corresponding impact levels.

This slide discusses how driving AI innovation within functional silos can hinder activity, with comparative data on organizational approaches from China, France, and USA.

Details investor attitudes towards AI in financial services, emphasizing a preference for AI-assisted, not AI-driven, solutions.

This slide analyzes the trends in AI investment globally, focusing on corporate investment types, regional distribution of private investment, and industry-specific venture capital investments.

A global snapshot of expectations around AI's potential to create new jobs. This slide ranks countries based on their optimism or skepticism about AI-driven job creation and compares percentages of likely and unlikely responses.

Discusses CEO views on whether AI will displace more jobs than it creates, offering a global perspective on the workforce impact.

This slide illustrates New Zealanders’ perceptions of AI’s impact on their jobs within 5 years. One chart shows 47% believe AI will change how they work, while 23% believe AI will replace their job.

The slide assesses global and demographic optimism about AI’s impact on individual jobs. Thailand and decision-makers show the most positive outlook, while older generations remain skeptical.

This slide reveals public concern about job displacement from AI across countries. Indonesia, the Philippines, and Colombia show the highest concern. The data also compares 2025 predictions to 2023, with minor shifts in public perception.

A comparative look at public opinion by country on whether AI will result in job losses. Each bar represents the percentage who believe this is likely, arranged in descending order.