Core Insights - Only 15% of consumer goods companies successfully scale AI, referred to as the "15% Club," which achieves significant ROI through governance, agile funding, and business-driven AI initiatives across various functions [1][2][3] Group 1: AI Adoption and Impact - The report highlights that the "15% Club" firms are moving beyond AI experimentation to enterprise-wide impact, demonstrating effective AI adoption strategies [2][4] - AI initiatives within the "15% Club" are making measurable impacts in marketing, supply chain, product innovation, and customer service [3][4] - The study emphasizes that organizations fail with AI not due to technology issues, but because they do not adapt their operations around it [3][4] Group 2: Key Characteristics of the 15% Club - Firms in the "15% Club" exhibit strong AI governance, C-suite sponsorship, and cross-functional alignment, often embedding AI into broader transformation programs [7] - 60% of AI spending occurs outside the central IT budget, driven by business units such as marketing, supply chain, and R&D [7] - These companies utilize dedicated AI budgets and agile investment models, including innovation funds and outcome-based funding milestones [7] Group 3: Areas of AI Application - In marketing, generative AI tools are enhancing content creation and personalization, with one firm producing marketing videos in 90 languages, reducing production time by 50% and increasing campaign reach by 25% [8] - AI is improving demand forecasting accuracy and inventory optimization in supply chain management [8] - In product innovation, generative AI is guiding new product development with speed and precision [8] - AI is also being applied in sales for trade promotion optimization and pricing strategy, as well as in customer service to enhance customer experiences [8] Group 4: Future Directions - Leaders are laying the groundwork for agentic AI, which involves autonomous systems capable of executing multi-step processes with minimal human oversight [6][7] - The organizations that succeed with AI are those treating it as a strategic capability rather than a side project [9]

Core Insights - A global study by Kyndryl reveals a significant gap between AI investment and workforce preparedness, with only a small number of organizations aligning their workforce strategies with AI growth [1][2] - Organizations that prioritize workforce readiness are positioned to achieve better returns on AI investments [1][4] Workforce Readiness - The survey included over 1,000 senior executives across 25 industries and eight geographies, highlighting that workforce readiness varies significantly by industry, with Banking, Financial Services, and Insurance showing the highest levels of preparedness, while Healthcare lags behind [2] - 71% of business leaders believe their workforces are not ready to leverage AI effectively, and 51% feel their organizations lack the skilled talent necessary for AI management [6][5] AI Adoption and Use Cases - Only 14% of companies are deploying AI for commercial use while simultaneously future-proofing their workforces [5] - Generative AI tools are the most popular use case, yet only 40% of leaders utilize AI-powered insights for decision-making or growth [3] Barriers to AI Adoption - AI Pacesetters, a small subset of organizations, are addressing key barriers to AI adoption and are three times more likely to have a fully implemented change management strategy [7] - These Pacesetters are 29% less likely to report employee trust issues regarding AI and are 67% more likely to have tools for accurately assessing employee skills [7] Leadership Perspectives - CEOs are more likely than CIOs and CTOs to view their organizations as being in the early stages of AI adoption and are more inclined to seek outside talent rather than upskill existing employees [4] - Aligning technology strategies with broader business goals is crucial for maximizing the benefits of AI, as noted by Kyndryl's leadership [8]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report highlights a significant gap between the potential of generative AI and its actual implementation within enterprises, with many organizations facing challenges in adoption and alignment [6][7][51] Summary by Sections Voices of AI Adopters - A survey of 1,600 knowledge workers, including 800 C-suite executives and 800 employees, was conducted to understand the state of generative AI adoption [14][15][17] Key Findings - 88% of employees and 97% of executives report benefiting from generative AI, yet 72% of C-suite executives acknowledge facing challenges in the adoption process [26][27][51] - There is a disconnect between employees and executives regarding the success of AI implementation, with only 45% of employees feeling their company has been successful compared to 75% of executives [29] Widespread AI Optimism - 90% of employees and 93% of executives express optimism about their company's approach to generative AI, driven by factors such as revenue opportunities and employee interest [37][39] Generative AI Adoption Challenges - Key challenges include internal alignment issues, employee dissatisfaction with AI tools, and a lack of effective change management processes [27][28][30][32] - 41% of Millennial and Gen Z employees report sabotaging their company's AI strategy due to concerns about job security and tool quality [30][67] Strategies to Maximize the Potential of Generative AI - The report suggests formalizing a generative AI strategy, nurturing AI champions within organizations, and selecting the right vendors to support AI initiatives [82][87][97] - Companies that invest more significantly in generative AI see a 40 percentage-point gap in success compared to those that invest less [86] Traits of Supportive Technology Partners - Executives express dissatisfaction with their current generative AI vendors, indicating a need for better support in areas such as security, user experience, and integration [106][113] The Path to AI Transformation - Successful AI transformation requires deep integration of AI into all functions, empowering employees, and choosing the right technology partners [114][116]