Core Insights - The Capgemini Research Institute's report highlights the transformative impact of AI and generative AI on sports fan engagement, emphasizing the need for a balance between digital and physical experiences [2][3][4] AI and Fan Engagement - Over half (54%) of sports fans utilize AI or generative AI tools as their primary source of information, with 59% expressing trust in content generated by these technologies [3] - Fans desire a streamlined platform for sports content, with 67% wanting all information aggregated in one place [3][9] - Personalization is crucial, with 64% of fans wanting AI to provide customized updates, and 27% willing to pay for AI-driven interactive experiences [5][9] Live Sports Experience - The report indicates that 37% of fans have returned to live matches post-pandemic, and AI is enhancing their experience with tailored updates and statistics [4][6] - Nearly 70% of fans seek player metrics and live match data, primarily before matches and during breaks, to enrich their understanding of the game [7][9] Concerns and Challenges - Approximately 60% of fans worry that excessive technology could diminish the excitement of attending live events, highlighting the need for a balance between innovation and authenticity [8][9] - There are significant concerns regarding data privacy and misinformation, with two-thirds of fans worried about unverified content and 57% concerned about false information affecting perceptions of players and teams [10][11] Stadium Innovations - Stadium operators are investing in technology to enhance fan experiences, with over half of attendees appreciating improvements in ticketing, scheduling, and real-time apps [12]

Just about every stock with some connection to artificial intelligence (AI) has seen its price soar in the past couple of years. Ever stock, that is, except C3.ai (AI -2.46%), that is. The AI-focused company with the ticker "AI" is trading down around 22% over the past year and around 86% from all-time highs as the company struggles to grow and get anywhere close to generating a profit.This AI company has a lot of hype around it, and even brags about huge wins with partnerships with other AI players. A lot ...

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]

T h e 2 0 2 5 W r i t e r A I S u r v e y Generative AI adoption in the enterprise How to break down silos, navigate tension, and activate champions to unlock the transformative potential of AI at work Table of contents | Voices of AI adopters | 3 | | --- | --- | | Key findings | 7 | | Widespread AI optimism | 9 | | Generative AI adoption challenges | 13 | | Strategies to maximize the potential of generative AI | 21 | | Traits of supportive technology partners | 30 | | The path to AI transformation | 32 | E ...