This slide maps AI maturity levels in retail, indicating most brands are in the exploratory or early-win stages. Very few are in the refinement or pinnacle phases. Commentary highlights perceived lag in progress relative to competitors and industry norms. E-commerce brands are further ahead.

The slide shows that at early AI maturity, organizations prioritize operational improvements such as risk mitigation and cost reduction over strategic goals. It explains how AI enhances employee experience through automation, reducing manual effort and improving decision-making and customer interactions. A quote adds perspective on AI’s workforce impact.

The slide outlines three phases for accelerating AI adoption based on organizational maturity. It provides tactical steps for identifying AI opportunities, piloting tools, and implementing them at scale. Specific AI tools and maturity considerations are also included.

This slide analyzes the maturity levels of AI adoption across various retail functions, revealing that most brands are still experimenting or ideating. Only a few functions such as sales and marketing show mature solutions. The visual compares ten functions and explains trends in AI data usage and implementation, highlighting areas of opportunity and early adoption.

Discusses AI adoption stages, revealing only 31% have scaled AI to production. Most organizations are still in early or testing phases. It notes the productivity gains from AI and the importance of aligning AI strategy with business goals.

Reviews business outcomes from AI initiatives, with a focus on revenue generation and market expansion. Useful for evaluating the effectiveness of AI strategies and planning future business models in tech-driven industries.

This slide reflects global and demographic agreement levels regarding the influence of AI on daily life in the recent past, with South Korea and Thailand at the top.

This slide visualizes the share of respondents across multiple countries who express nervousness about AI-powered products and services. It ranks countries by agreement level and highlights global sentiment towards AI adoption and unease.

Provides high-level statistics from 32 countries about attitudes toward AI: understanding, trust, job risk, and excitement/nervousness. Highlights generational differences in perception and expectations regarding AI’s future impact.

This slide explores public sentiment toward AI's impact, showing a split in opinion: 55% say AI is improving life, while 45% feel it's making life worse. It emphasizes that while many see incremental benefits, concerns persist about AI's broader societal effects.

Discusses differing AI perceptions between managerial levels, useful for organizational strategy and understanding internal stakeholder perspectives.

It explains how AI Achievers outperform others in multiple areas such as strategy, data management, talent, and responsible AI practices. The slide focuses on the key differentiators of successful AI implementation.

It explains how AI Achievers outperform others in multiple areas such as strategy, data management, talent, and responsible AI practices. The slide focuses on the key differentiators of successful AI implementation.

Explores the gap between current AI usage and perceived potential. It emphasizes how people believe AI could help with scheduling, research, content creation, etc., more than they currently use it for. Includes forward-looking perspectives and examples of future applications.

Outlines the main priorities for AI and ML implementations for the year 2021, focusing on responsible AI tools.

This slide focuses on what society considers the most important AI applications, with medical breakthroughs, security, and climate solutions ranked highest. It reflects public preference for innovations that solve real-world problems.

It discusses the transition of AI projects from pilot phases to full production, using Procter & Gamble as a case study. The slide highlights the effectiveness of scaling AI solutions across enterprises.

This slide measures familiarity with AI-powered products and services. It ranks countries by agreement and shows demographic patterns by gender, generation, income, and education, revealing significant differences in functional AI literacy.

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.

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

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.