The AI Adoption Reality Check: Firms with AI Strategies are Twice as Likely to see AI-driven Revenue Growth; Those Without Risk Falling Behind

Core Insights - Only 22% of organizations have a visible AI strategy, indicating a significant gap in AI adoption across industries [1][3] - Organizations with defined AI strategies are twice as likely to experience revenue growth and 3.5 times more likely to see critical AI benefits compared to those without [1][3] - The potential time savings from AI could lead to a $32 billion opportunity in the U.S. legal and tax sectors alone [2][3] Group 1: AI Strategy and Adoption - 80% of professionals believe AI will have a high or transformational impact on their profession in the next 5 years, yet only 38% expect significant changes in their own organizations this year [3] - 53% of professionals report their organizations are already seeing ROI from AI adoption, with improved efficiency and productivity being the most common benefits [3][4] - 30% of professionals feel their organizations are moving too slowly on AI adoption, and 40% are adopting AI without a strategy [4] Group 2: Professional Impact and Efficiency - Survey respondents predict that AI will save professionals an average of 5 hours per week within the next year, an increase from 4 hours in 2024, translating to an average annual value of $19,000 per person [2][7] - In the U.S., this efficiency could result in a cumulative annual impact of $20 billion for the legal industry and $12 billion for the CPA industry [7] - 55% of professionals have experienced significant changes in their work in the past year, with 46% reporting skills gaps, particularly in technology and data competencies [5] Group 3: Thomson Reuters' Commitment to AI - Thomson Reuters is investing $200 million annually over the next few years to integrate responsible AI into its solutions [8] - The company employs thousands in data science, engineering, and UX, providing a secure generative AI experience [9] - Thomson Reuters has established comprehensive governance structures and updated Data and AI Ethics Principles to guide its AI development [10]