<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Mike Bommarito - AI &amp; Public Opinion Bookmarks</title><description>All bookmarks in the AI &amp; Public Opinion category</description><link>https://michaelbommarito.com</link><language>en-us</language><copyright>Copyright 2026 Michael Bommarito</copyright><webMaster>michael.bommarito@gmail.com (Michael Bommarito)</webMaster><managingEditor>michael.bommarito@gmail.com (Michael Bommarito)</managingEditor><ttl>1440</ttl><generator>Astro</generator><docs>http://www.rssboard.org/rss-specification</docs><item><title>The Case That A.I. Is Thinking</title><link>https://www.newyorker.com/magazine/2025/11/10/the-case-that-ai-is-thinking</link><guid isPermaLink="false">ai-public-opinion/newyorker-2025-11-03-the-case-that-ai-is-thinking</guid><description>A longform examination of whether contemporary large-language models exhibit something like ‘thinking,’ weaving cognitive science with recent AI capabilities. | Notes: Published online November 3, 2025 (print issue dated Nov 10, 2025). | Tags: AI, Public Opinion, New Yorker, Cognition, LLMs, 2025 | Author: James Somers | Source: newyorker.com</description><pubDate>Mon, 03 Nov 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AI</category><category>Public Opinion</category><category>New Yorker</category><category>Cognition</category><category>LLMs</category><category>2025</category><author>James Somers</author></item><item><title>A Hopeful Sign of Investor Sanity in the AI Boom</title><link>https://www.wsj.com/finance/stocks/a-hopeful-sign-of-investor-sanity-in-the-ai-boom-d47e9a9b</link><guid isPermaLink="false">ai-public-opinion/wsj-2025-11-01-investor-sanity-in-ai-boom</guid><description>Markets increasingly reward tangible AI revenue and discipline hype; contrasts in how investors react to near‑term vs. distant AI promises. | Notes: Published November 1, 2025. Heard-on-the-Street style analysis of investor behavior in the AI cycle. May be paywalled. | Tags: AI, Public Opinion, WSJ, Markets, Investors, 2025 | Author: James Mackintosh | Source: wsj.com</description><pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AI</category><category>Public Opinion</category><category>WSJ</category><category>Markets</category><category>Investors</category><category>2025</category><author>James Mackintosh</author></item><item><title>AI Is Co-Writing Financial Reports. Here’s Why That Matters</title><link>https://www.wsj.com/articles/ai-is-co-writing-financial-reports-heres-why-that-matters-6c0ce0af</link><guid isPermaLink="false">ai-public-opinion/wsj-2025-10-31-ai-co-writing-financial-reports</guid><description>Companies increasingly draft MD&amp;A and disclosures with generative AI; efficiency upside meets new trust, compliance, and disclosure considerations. | Notes: Published October 31, 2025. CFO Journal coverage of gen‑AI in financial reporting workflows. May be paywalled. | Tags: AI, Public Opinion, WSJ, Financial Reporting, Disclosure, 2025 | Author: Mark Maurer | Source: wsj.com</description><pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AI</category><category>Public Opinion</category><category>WSJ</category><category>Financial Reporting</category><category>Disclosure</category><category>2025</category><author>Mark Maurer</author></item><item><title>Big Tech Is Spending More Than Ever on AI and It’s Still Not Enough</title><link>https://www.wsj.com/tech/ai/big-tech-is-spending-more-than-ever-on-ai-and-its-still-not-enough-f2398cfe</link><guid isPermaLink="false">ai-public-opinion/wsj-2025-10-31-big-tech-spending-more-on-ai</guid><description>WSJ reports record AI capex across Big Tech (~$400B trajectory) amid ongoing compute constraints and uneven investor reactions. | Notes: Published October 31, 2025. Coverage of Big Tech’s escalating AI infrastructure spend and investor read-through. May be paywalled. | Tags: AI, Public Opinion, WSJ, Big Tech, Capex, Compute, 2025 | Author: Meghan Bobrowsky | Source: wsj.com</description><pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AI</category><category>Public Opinion</category><category>WSJ</category><category>Big Tech</category><category>Capex</category><category>Compute</category><category>2025</category><author>Meghan Bobrowsky</author></item><item><title>Major federation of unions calls for ‘worker-centered AI’ future</title><link>https://www.theverge.com/ai-artificial-intelligence/799850/afl-cio-workers-first-initiative-ai</link><guid isPermaLink="false">ai-public-opinion/major-federation-of-unions-calls-for-worker-centered-ai-future</guid><description>The AFL-CIO, representing 63 unions and nearly 15 million workers, launched a &apos;workers first initiative on AI&apos; to advocate for state-level regulations, strengthen collective bargaining against AI&apos;s negative impacts, and promote worker involvement in AI development. | Notes: The article details the AFL-CIO&apos;s push for a &apos;worker-centered technological future,&apos; outlining priorities such as protections against AI surveillance, retraining programs, and transparency. It also covers the political challenges, including a vetoed California bill and the influence of pro-AI lobbying groups. | Tags: AFL-CIO, AI, labor unions, policy, regulation, worker rights, The Verge | Author: Elissa Welle | Source: theverge.com</description><pubDate>Wed, 22 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AFL-CIO</category><category>AI</category><category>labor unions</category><category>policy</category><category>regulation</category><category>worker rights</category><category>The Verge</category><author>Elissa Welle</author></item><item><title>Reinvention in the Age of Generative AI - Executive Summary</title><link>https://www.accenture.com/us-en/insights/consulting/total-enterprise-reinvention</link><guid isPermaLink="false">ai-public-opinion/accenture-reinvention-genai-exec-summary</guid><description>Accenture executive summary on GenAI-driven enterprise transformation. Highlights that reinventors pull ahead and GenAI accelerates this advantage. Identifies five C-suite imperatives for successful GenAI reinvention. Documents performance gap between AI leaders and laggards widening as GenAI adoption accelerates. | Notes: Published 2024. Executive summary of Accenture&apos;s comprehensive Reinvention report. Provides concise overview of five imperatives C-suite must address to reinvent with GenAI. Emphasizes urgency as performance gap between leaders and laggards widens. | Tags: Accenture, AI, Generative AI, Enterprise, 2024, Executive Summary, C-suite | Author: Accenture | Source: accenture.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Accenture</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Executive Summary</category><category>C-suite</category><author>Accenture</author></item><item><title>Reinvention in the Age of Generative AI</title><link>https://www.accenture.com/us-en/insights/consulting/total-enterprise-reinvention</link><guid isPermaLink="false">ai-public-opinion/accenture-reinvention-genai-full-report</guid><description>Accenture survey of 3,450 C-suite leaders from organizations with revenues exceeding $500M examining GenAI-driven transformation. Finds 74% of organizations seeing GenAI investments meet or exceed expectations. Documents that companies with AI-led processes achieve 2.5x higher revenue growth and 3.3x greater success scaling GenAI. Only 16% have fully modernized AI-led processes (up from 9% in 2023). | Notes: Published November 2024. Based on Pulse of Change survey conducted October-November 2024 with 3,450 C-suite leaders globally. Emphasizes workflow redesign as highest-ranking success factor, though only 21% have redesigned workflows. Documents urgent perception gap between C-suite and workers around GenAI impact. | Tags: Accenture, AI, Generative AI, Enterprise, 2024, Survey, C-suite, Transformation | Author: Accenture | Source: accenture.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Accenture</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Survey</category><category>C-suite</category><category>Transformation</category><author>Accenture</author></item><item><title>AI at Work 2025: Momentum Builds, but Gaps Remain</title><link>https://www.bcg.com/publications/2025/ai-at-work-momentum-builds-but-gaps-remain</link><guid isPermaLink="false">ai-public-opinion/bcg-ai-at-work-2025</guid><description>BCG survey of 10,600+ workers across 11 countries finds 72% using AI regularly. Geographic divide: India leads at 92%, followed by Middle East (87%), Spain (78%), while US (64%) and Japan (51%) lag. Only 36% feel well-prepared to use AI. 54% would use unauthorized AI tools. Just 13% of organizations deployed AI agents integrated into workflows. High usage correlates with job loss fears: 63% Middle East, 48% India vs 33% US. | Notes: Published 2025. Survey of 10,600+ workers across 11 countries. Reveals stark geographic differences in AI adoption and concerns. Documents &apos;silicon ceiling&apos; where only half of frontline employees regularly use AI. Shows preparation gap despite widespread adoption. | Tags: BCG, Boston Consulting Group, AI, Workplace, 2025, Survey, 11 countries, Adoption | Author: Boston Consulting Group | Source: bcg.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>BCG</category><category>Boston Consulting Group</category><category>AI</category><category>Workplace</category><category>2025</category><category>Survey</category><category>11 countries</category><category>Adoption</category><author>Boston Consulting Group</author></item><item><title>State of Generative AI in the Enterprise Q1 2024</title><link>https://www2.deloitte.com/us/en/pages/consulting/articles/state-of-generative-ai-in-enterprise.html</link><guid isPermaLink="false">ai-public-opinion/deloitte-2024-q1-state-of-genai</guid><description>Deloitte inaugural quarterly survey tracking GenAI adoption in enterprises. Documents high expectations alongside pressure to quickly realize value while managing risks. Identifies governance, talent, and potential economic inequality as greatest areas of concern for enterprise leaders. | Notes: Published Q1 2024. First edition of Deloitte&apos;s quarterly GenAI tracking series. Establishes baseline metrics for adoption patterns and concerns. Documents tension between high expectations and risk management imperatives in early GenAI adoption phase. | Tags: Deloitte, AI, Generative AI, Enterprise, 2024, Q1, Survey, Risk Management | Author: Deloitte | Source: deloitte.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Deloitte</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Q1</category><category>Survey</category><category>Risk Management</category><author>Deloitte</author></item><item><title>State of Generative AI in the Enterprise Q2 2024: Getting Real About Generative AI</title><link>https://www2.deloitte.com/us/en/pages/consulting/articles/state-of-generative-ai-in-enterprise.html</link><guid isPermaLink="false">ai-public-opinion/deloitte-2024-q2-state-of-genai</guid><description>Deloitte quarterly survey exploring how organizations turn GenAI potential into reality. Tracks trends in use cases, sentiment, adoption, and implementation challenges. Documents transition from experimentation to practical deployment across enterprise functions. | Notes: Published Q2 2024. Second quarterly edition of Deloitte&apos;s ongoing GenAI tracking series. Documents the work of turning potential into reality as organizations move beyond initial pilots. Examines practical challenges of implementation and scaling. | Tags: Deloitte, AI, Generative AI, Enterprise, 2024, Q2, Survey, Implementation | Author: Deloitte | Source: deloitte.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Deloitte</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Q2</category><category>Survey</category><category>Implementation</category><author>Deloitte</author></item><item><title>State of Generative AI in the Enterprise Q3 2024: Moving from Potential to Performance</title><link>https://www2.deloitte.com/us/en/pages/consulting/articles/state-of-generative-ai-in-enterprise.html</link><guid isPermaLink="false">ai-public-opinion/deloitte-2024-q3-state-of-genai</guid><description>Deloitte survey of 2,770 AI-savvy business and technology leaders across 14 countries examining GenAI scaling challenges. Focuses on data governance, risk, and compliance as critical factors. Documents how organizations navigate challenges and measure value from GenAI initiatives. | Notes: Published Q3 2024. Survey of 2,770 AI-savvy business and technology leaders conducted May-June 2024. Third quarterly edition. Emphasizes critical importance of data quality and governance frameworks for successful GenAI scaling. Documents persistent gap between experimentation and production deployment. | Tags: Deloitte, AI, Generative AI, Enterprise, 2024, Q3, Survey, 14 countries, Governance | Author: Deloitte | Source: deloitte.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Deloitte</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Q3</category><category>Survey</category><category>14 countries</category><category>Governance</category><author>Deloitte</author></item><item><title>State of Generative AI in the Enterprise Q4 2024: Generating a New Future</title><link>https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-generative-ai-in-enterprise.html</link><guid isPermaLink="false">ai-public-opinion/deloitte-2024-q4-state-of-genai</guid><description>Deloitte survey of 2,773 director- to C-suite-level respondents across 14 countries tracking GenAI adoption. Finds 74% of most advanced GenAI initiatives meeting or exceeding ROI expectations. Documents regulation and risk as top barrier (10pp increase from Q1). Cybersecurity leads in ROI with 44% surpassing expectations. 26% exploring autonomous agent development. | Notes: Published Q4 2024. Survey of 2,773 director- to C-suite-level respondents across 14 countries conducted July-September 2024. Fourth quarterly edition tracking GenAI adoption throughout 2024. Reveals scaling challenges with only 30% of experiments expected to fully scale in next 3-6 months. | Tags: Deloitte, AI, Generative AI, Enterprise, 2024, Q4, Survey, 14 countries, ROI | Author: Deloitte | Source: deloitte.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Deloitte</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Q4</category><category>Survey</category><category>14 countries</category><category>ROI</category><author>Deloitte</author></item><item><title>Insights from the Leading Edge of Generative AI Adoption</title><link>https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-report.pdf</link><guid isPermaLink="false">ai-public-opinion/deloitte-leading-edge-genai</guid><description>Deloitte comprehensive report examining GenAI adoption among leading-edge organizations. Documents lessons learned from early adopters, successful scaling strategies, and organizational changes required for value creation. Emphasizes that scaling and value creation requires sustained effort beyond initial pilots. | Notes: Published 2024. Companion report to quarterly State of GenAI series. Provides in-depth analysis of successful GenAI implementations. Documents that majority of organizations need at least a year to resolve ROI and adoption challenges including governance, training, talent, trust, and data issues. | Tags: Deloitte, AI, Generative AI, Enterprise, 2024, Best Practices, Adoption | Author: Deloitte | Source: deloitte.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Deloitte</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2024</category><category>Best Practices</category><category>Adoption</category><author>Deloitte</author></item><item><title>2024 Edelman Trust Barometer: Key Insights Around AI</title><link>https://www.edelman.com/trust/2024/trust-barometer</link><guid isPermaLink="false">ai-public-opinion/edelman-2024-trust-barometer-ai</guid><description>Edelman survey of 32,000 respondents across 28 countries examining trust in AI innovation. Finds only 30% embrace AI while 35% reject it. Trust in AI companies declined from 62% (2019) to 54% (2024). Documents significant gap with 76% trust in tech sector generally. Privacy concerns nearly double job impact worries. Understanding AI better, seeing societal benefits, and personal benefits identified as key trust drivers. | Notes: Published 2024. 30-minute online interviews conducted November 3-22, 2023 with 32,000 respondents across 28 countries. Special focus on trust amid rapid AI innovation. Documents AI at critical crossroads with divided public opinion. Characterizes AI as contributing to societal instability and polarization. | Tags: Edelman, AI, Trust, Public Opinion, 2024, Survey, 28 countries | Author: Edelman | Source: edelman.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Edelman</category><category>AI</category><category>Trust</category><category>Public Opinion</category><category>2024</category><category>Survey</category><category>28 countries</category><author>Edelman</author></item><item><title>2025 Edelman Trust Barometer - The AI Trust Imperative: Insights for the Technology Sector</title><link>https://www.edelman.com/trust/2025/trust-barometer/report-tech-sector</link><guid isPermaLink="false">ai-public-opinion/edelman-2025-trust-barometer-ai</guid><description>Edelman global survey finds world split on AI: 49% trust it globally, but only 32% in US (vs 72% in China). US trust in tech companies declined from 73% (decade ago) to 63%. 59% fear job displacement, 63% worry about information warfare. Women, older individuals, lower-income populations less likely to trust AI. Nearly 1 in 2 skeptical of business AI use. Emphasizes need for AI deployed to enhance lives, protect security, create shared value. | Notes: Published February 2025. Annual trust barometer with special technology sector insights. Identifies &apos;crisis of grievance&apos; where technology anxiety rivals technology optimism. Documents 40pp US-China trust gap in AI (32% vs 72%). Reveals demographic divides in AI trust and comfort with business applications. | Tags: Edelman, Trust Barometer, AI, 2025, Global, Trust, Tech Sector, Crisis of Grievance | Author: Edelman | Source: edelman.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Edelman</category><category>Trust Barometer</category><category>AI</category><category>2025</category><category>Global</category><category>Trust</category><category>Tech Sector</category><category>Crisis of Grievance</category><author>Edelman</author></item><item><title>Eurobarometer Special 554: Artificial Intelligence and the Future of Work</title><link>https://europa.eu/eurobarometer/surveys/detail/3222</link><guid isPermaLink="false">ai-public-opinion/eurobarometer-2025-ai-future-of-work</guid><description>European Commission survey examining EU attitudes toward AI in workplace. Finds 62% view AI positively (32% negative). 66% believe AI benefits their work, 73% agree it increases productivity. Documents 66% fear job losses (down from 72% five years prior). 84% demand careful AI management for privacy/transparency. 82% back privacy protections, 77% want worker involvement in AI design. Country variations: Malta most positive (85%), Romania most skeptical (32%). | Notes: Published February 13, 2025. Conducted by Verian for European Commission April-May 2024. Special Eurobarometer 554 examining workplace AI attitudes across EU member states. Documents majority positive view tempered by strong demands for regulation, privacy protection, and worker participation in AI implementation. | Tags: Eurobarometer, European Commission, AI, Future of Work, 2025, Survey, EU, 27 countries | Author: European Commission | Source: europa.eu</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Eurobarometer</category><category>European Commission</category><category>AI</category><category>Future of Work</category><category>2025</category><category>Survey</category><category>EU</category><category>27 countries</category><author>European Commission</author></item><item><title>Americans Express Real Concerns About Artificial Intelligence</title><link>https://news.gallup.com/poll/648953/americans-express-real-concerns-artificial-intelligence.aspx</link><guid isPermaLink="false">ai-public-opinion/gallup-americans-express-concerns-ai-2024</guid><description>Bentley-Gallup survey of 5,835 US adults finds 56% see AI as net neutral, but more than twice as likely to see harm (31%) vs good (13%). 85% concerned about AI in hiring decisions, 83% in driving vehicles, 80% in medical advice. 57% say companies should be transparent about AI use. Harmful perception decreased 9pp from 40% to 31% year-over-year. | Notes: Published August 2024. Survey of 5,835 US adults conducted April 29-May 6, 2024 using probability-based Gallup Panel. Part of Bentley-Gallup Business in Society Report. Shows strong concerns about AI in high-stakes applications like hiring and healthcare. | Tags: Gallup, Bentley, AI, Public Opinion, 2024, US, Trust, Concerns, Business | Author: Gallup &amp; Bentley University | Source: gallup.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Gallup</category><category>Bentley</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>US</category><category>Trust</category><category>Concerns</category><category>Business</category><author>Gallup &amp; Bentley University</author></item><item><title>Gartner 2024 CIO Generative AI Survey</title><link>https://www.gartner.com/en/documents/5705151</link><guid isPermaLink="false">ai-public-opinion/gartner-2024-cio-genai-survey</guid><description>Gartner survey of CIOs finds 95% believe in GenAI&apos;s significant potential. 52% now rate themselves proficient/advanced in AI (up from 38% nine months prior). 67% tasked with leading AI initiatives, 48% main executives responsible for GenAI. 74% cite productivity as top business value, 49% improved customer experience, 31% streamlined digital transformation. C-suite disconnect: only 21% of highly knowledgeable CIOs believe C-suite sees AI as high priority; 53% consider C-suite peers AI novices. | Notes: Published 2024 (ID G00820936). Annual CIO survey examining GenAI adoption and leadership. 87% see GenAI as career-enhancing. Documents growing CIO expertise in AI alongside significant knowledge gap with other C-suite executives. Reveals tension between CIO priorities and broader executive team understanding. | Tags: Gartner, CIO, AI, Generative AI, 2024, Survey, Enterprise, Leadership | Author: Gartner | Source: gartner.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Gartner</category><category>CIO</category><category>AI</category><category>Generative AI</category><category>2024</category><category>Survey</category><category>Enterprise</category><category>Leadership</category><author>Gartner</author></item><item><title>Global Opinions and Expectations About Artificial Intelligence 2022</title><link>https://www.ipsos.com/en-us/news-polls/global-opinions-about-ai-january-2022</link><guid isPermaLink="false">ai-public-opinion/ipsos-2022-global-ai-opinions</guid><description>Ipsos survey across 21 countries finds 67% expect AI will profoundly change daily life. Opinions vary by economic development: 71% positive in emerging economies vs 54% in developed. Ireland stands out with 58% trusting humans more than AI to avoid discrimination. Concerns focus on job loss, privacy, and bias. | Notes: Published January 2022. Survey of 21,011 adults across 21 countries. First in Ipsos&apos;s annual AI public opinion series. Shows stark divide between emerging and developed economies in AI optimism. | Tags: Ipsos, AI, Public Opinion, 2022, Global, Survey, 21 countries | Author: Ipsos | Source: ipsos.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2022</category><category>Global</category><category>Survey</category><category>21 countries</category><author>Ipsos</author></item><item><title>The Ipsos AI Monitor 2023 - Global Report</title><link>https://www.ipsos.com/sites/default/files/ct/news/documents/2023-07/Ipsos%20Global%20AI%202023%20Report-WEB.pdf</link><guid isPermaLink="false">ai-public-opinion/ipsos-2023-global-ai-report</guid><description>Second annual Ipsos AI Monitor tracking 32 countries. Finds 67% claim good AI understanding (72% Gen Z, 58% Boomers), 53% excited vs 50% nervous about AI products. Regional differences persist: Anglosphere and Europe most skeptical, Asia most optimistic. Growing concerns about AI&apos;s impact on disinformation (37%). | Notes: Published July 2023. Survey of 23,000+ adults across 32 countries. Second in annual series. Tracks evolution of AI attitudes with expanded country coverage. Documents generational differences in AI understanding and comfort levels. | Tags: Ipsos, AI, Public Opinion, 2023, Global, Survey, 32 countries, Monitor | Author: Ipsos | Source: ipsos.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2023</category><category>Global</category><category>Survey</category><category>32 countries</category><category>Monitor</category><author>Ipsos</author></item><item><title>Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025</title><link>https://kpmg.com/xx/en/our-insights/ai-and-technology/trust-attitudes-and-use-of-ai.html</link><guid isPermaLink="false">ai-public-opinion/kpmg-2025-trust-attitudes-ai-global</guid><description>KPMG global study of 48,000+ people across 47 countries examining trust, attitudes, and AI usage patterns. Documents trust deficits across regions, varying adoption rates by sector and demography, and concerns about bias, privacy, and job displacement. Largest multinational AI opinion survey to date. | Notes: Published May 2025. Survey of 48,000+ people across 47 countries. Largest multinational AI opinion survey. Provides comprehensive regional comparisons and demographic breakdowns of AI trust and usage patterns. | Tags: KPMG, AI, Trust, Public Opinion, 2025, Global, 47 countries, Survey | Author: KPMG International | Source: kpmg.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>KPMG</category><category>AI</category><category>Trust</category><category>Public Opinion</category><category>2025</category><category>Global</category><category>47 countries</category><category>Survey</category><author>KPMG International</author></item><item><title>The State of AI: How Organizations Are Rewiring to Capture Value</title><link>https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai</link><guid isPermaLink="false">ai-public-opinion/mckinsey-2025-state-of-ai</guid><description>McKinsey survey of 1,491 participants across 101 nations examining AI adoption and organizational transformation. Finds 78% of organizations using AI in at least one function (up from 55% year earlier), 71% using GenAI regularly (up from 65%). Documents that 21% have redesigned workflows despite it being highest-ranking success factor. Nearly 30% report CEO direct responsibility for GenAI governance (double prior year). 47% experienced negative GenAI consequences. | Notes: Published March 2025. Survey of 1,491 participants across 101 nations conducted July 16-31, 2024. Emphasizes fundamental workflow redesign as critical success factor. Documents strong correlation between CEO oversight and bottom-line results. Identifies cybersecurity, inaccuracy, and IP infringement as biggest risks. | Tags: McKinsey, AI, Generative AI, Enterprise, 2025, Survey, 101 countries, Governance | Author: McKinsey &amp; Company | Source: mckinsey.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>McKinsey</category><category>AI</category><category>Generative AI</category><category>Enterprise</category><category>2025</category><category>Survey</category><category>101 countries</category><category>Governance</category><author>McKinsey &amp; Company</author></item><item><title>The 2025 Annual Work Trend Index: The Frontier Firm is Born</title><link>https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born</link><guid isPermaLink="false">ai-public-opinion/microsoft-work-trend-index-2025</guid><description>Microsoft survey of 31,000 knowledge workers across 31 markets examines AI transformation of work. Identifies &apos;Frontier Firms&apos; rebuilding around AI with hybrid human-agent teams. Documents Capacity Gap: 53% of leaders demand increased productivity while 80% of workers lack time/energy. 82% of leaders plan to use digital labor to expand workforce in next 12-18 months. 82% say 2025 pivotal year to rethink strategy and operations. | Notes: Published April 2025. Survey by Edelman Data x Intelligence of 31,000 knowledge workers across 31 markets conducted Feb 6-March 24, 2025. Combines survey data with Microsoft 365 telemetry and LinkedIn trends. Introduces concept of intelligence as &apos;durable good&apos; - abundant, affordable, scalable on-demand. | Tags: Microsoft, Work Trend Index, AI, Workplace, 2025, Survey, 31 countries, Future of Work | Author: Microsoft | Source: microsoft.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Microsoft</category><category>Work Trend Index</category><category>AI</category><category>Workplace</category><category>2025</category><category>Survey</category><category>31 countries</category><category>Future of Work</category><author>Microsoft</author></item><item><title>Artificial Intelligence Usage and Perceptions - November 2024</title><link>https://pro.morningconsult.com/analyst-reports/views-on-ai-chart-pack</link><guid isPermaLink="false">ai-public-opinion/morning-consult-2024-11-ai-usage-perceptions</guid><description>Morning Consult survey of 4,024 US consumers on AI usage and perceptions. Finds 46% have used AI tools, with highest adoption among younger demographics. Documents concerns about AI reliability, bias, and job impact. Tracks evolution of consumer attitudes toward AI-powered products and services. | Notes: Published November 2024. Survey of 4,024 US consumers. Part of Morning Consult&apos;s ongoing AI tracking series. Provides detailed breakdown of AI adoption patterns and concerns by demographic segments. | Tags: Morning Consult, AI, Public Opinion, 2024, US, Consumers, Survey, Usage | Author: Morning Consult | Source: morningconsult.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Morning Consult</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>US</category><category>Consumers</category><category>Survey</category><category>Usage</category><author>Morning Consult</author></item><item><title>US Workers Are More Worried Than Hopeful About Future AI Use in the Workplace</title><link>https://www.pewresearch.org/social-trends/2025/02/25/u-s-workers-are-more-worried-than-hopeful-about-future-ai-use-in-the-workplace/</link><guid isPermaLink="false">ai-public-opinion/pew-2025-ai-workers</guid><description>Pew Research survey of 5,273 US workers finds 52% worried about AI use in workplaces vs 27% excited. Workers who&apos;ve used AI tools report positive outcomes (59% saved time, 46% improved work quality). Education and income gaps emerge: higher earners 3x more likely to use AI. Concerns focus on job loss and declining importance of human skills. | Notes: Published February 25, 2025. Survey of 5,273 US workers conducted October 2024. Finds workers more worried (52%) than excited (27%) about AI in the workplace, though actual users report benefits. | Tags: Pew Research, AI, Workplace, Employment, 2025, Survey, US, Workers | Author: Pew Research Center | Source: pewresearch.org</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Pew Research</category><category>AI</category><category>Workplace</category><category>Employment</category><category>2025</category><category>Survey</category><category>US</category><category>Workers</category><author>Pew Research Center</author></item><item><title>How Americans View AI and Its Impact on People and Society</title><link>https://www.pewresearch.org/science/2025/09/17/how-americans-view-ai-and-its-impact-on-people-and-society/</link><guid isPermaLink="false">ai-public-opinion/pew-2025-americans-view-ai-impact</guid><description>Pew survey of 5,023 US adults finds 50% more concerned than excited about AI (up from 37% in 2021). 57% rate societal risks as high vs 25% seeing high benefits. 53% say AI will worsen creative thinking, 50% say it will worsen meaningful relationships. 73% willing to let AI assist with daily activities but 60% want more control. Majorities reject AI role in faith/matchmaking but support it for data-heavy tasks. | Notes: Published September 17, 2025. Survey of 5,023 US adults conducted June 9-15, 2025. Shows escalating concerns about AI compared to 2021 baseline. 95% have heard at least a little about AI. Documents preference for AI in technical vs personal applications. | Tags: Pew Research, AI, Public Opinion, 2025, US, Society, Impact, Concerns | Author: Pew Research Center | Source: pewresearch.org</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Pew Research</category><category>AI</category><category>Public Opinion</category><category>2025</category><category>US</category><category>Society</category><category>Impact</category><category>Concerns</category><author>Pew Research Center</author></item><item><title>Views of AI Around the World</title><link>https://www.pewresearch.org/global/2025/10/15/how-people-around-the-world-view-ai/</link><guid isPermaLink="false">ai-public-opinion/pew-2025-views-ai-around-world</guid><description>Pew survey of 28,333 adults across 25 countries finds median 34% more concerned than excited about AI, 42% equally concerned and excited, 16% more excited. US, Italy, Australia, Brazil, Greece show ~50% mainly concerned; South Korea only 16% concerned. Trust in AI regulation: EU 53%, US 37%, China 27%. Median 34% heard a lot about AI, 47% a little, 14% nothing. | Notes: Published October 15, 2025. Survey of 28,333 adults across 25 countries conducted January 8-April 26, 2025. Covers Asia-Pacific, Europe, Latin America, Middle East-North Africa, North America, sub-Saharan Africa. Reveals stark geographic differences in AI sentiment and trust in regulatory bodies. | Tags: Pew Research, AI, Public Opinion, 2025, Global, 25 countries, Trust, Regulation | Author: Pew Research Center | Source: pewresearch.org</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Pew Research</category><category>AI</category><category>Public Opinion</category><category>2025</category><category>Global</category><category>25 countries</category><category>Trust</category><category>Regulation</category><author>Pew Research Center</author></item><item><title>PwC 2025 Global AI Jobs Barometer</title><link>https://www.pwc.com/gx/en/issues/artificial-intelligence/job-barometer.html</link><guid isPermaLink="false">ai-public-opinion/pwc-2025-global-ai-jobs-barometer</guid><description>PwC analysis of nearly one billion job ads across six continents examining AI&apos;s impact on employment. Finds jobs growing 38% in AI-exposed occupations vs 65% in less-exposed roles. Documents 56% wage premium for AI skills (up from 25% last year). Shows degree requirements declining 7pp in AI-augmented jobs. Reveals skills evolution 66% faster in AI-exposed industries. | Notes: Released June 2025. One of the most comprehensive studies on AI&apos;s impact on work, analyzing close to a billion job ads from six continents. Contradicts job displacement fears, showing job growth across all AI exposure levels. Documents accelerating wage premiums and skills evolution in AI-exposed sectors. | Tags: PwC, AI, Employment, Jobs, Wages, 2025, Global, Labor Market | Author: PwC | Source: pwc.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>PwC</category><category>AI</category><category>Employment</category><category>Jobs</category><category>Wages</category><category>2025</category><category>Global</category><category>Labor Market</category><author>PwC</author></item><item><title>PwC&apos;s AI Agent Survey: The Enterprise Adoption of Agentic AI</title><link>https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-agent-survey.html</link><guid isPermaLink="false">ai-public-opinion/pwc-ai-agent-survey-2025</guid><description>PwC survey of 308 US executives finds 88% plan to increase AI budgets due to agentic AI, 79% already adopting AI agents. Among adopters: 66% report increased productivity, 57% cost savings, 54% improved customer experience. 73% believe AI agent usage will provide significant competitive advantage. Top barriers: cybersecurity (34%), lack of trust (28%). 46% concerned about falling behind competitors. | Notes: Published May 2025. Survey of 308 US C-suite, VP, and director-level executives conducted April 22-28, 2025. Focuses on agentic AI adoption and impact. Documents rapid enterprise adoption with measurable benefits but persistent security and trust concerns. Reveals competitive pressure driving investment. | Tags: PwC, AI, Agentic AI, 2025, US, Enterprise, Survey, AI Agents | Author: PwC | Source: pwc.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>PwC</category><category>AI</category><category>Agentic AI</category><category>2025</category><category>US</category><category>Enterprise</category><category>Survey</category><category>AI Agents</category><author>PwC</author></item><item><title>What Does the Public in Six Countries Think of Generative AI in News?</title><link>https://reutersinstitute.politics.ox.ac.uk/what-does-public-six-countries-think-generative-ai-news</link><guid isPermaLink="false">ai-public-opinion/reuters-institute-2024-genai-news-audiences</guid><description>Reuters Institute for the Study of Journalism survey examining public attitudes toward GenAI in journalism across six countries (Argentina, Denmark, France, Japan, UK, US). Finds public generally uncomfortable with AI-generated news content, preferring human journalists. Younger audiences significantly more comfortable with AI in news. Behind-the-scenes uses most acceptable. | Notes: Published 2024. Online survey conducted by YouGov examining how people use GenAI and attitudes toward its application in journalism. Part of broader Digital News Report 2024. Documents significant generational divide in comfort with AI-generated news content. | Tags: Reuters Institute, AI, Generative AI, Journalism, News, 2024, Survey, 6 countries | Author: Reuters Institute for the Study of Journalism, University of Oxford | Source: reutersinstitute.politics.ox.ac.uk</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Reuters Institute</category><category>AI</category><category>Generative AI</category><category>Journalism</category><category>News</category><category>2024</category><category>Survey</category><category>6 countries</category><author>Reuters Institute for the Study of Journalism, University of Oxford</author></item><item><title>Generative AI and News Report 2025: How People Think About AI&apos;s Role in Journalism and Society</title><link>https://reutersinstitute.politics.ox.ac.uk/generative-ai-and-news-report-2025-how-people-think-about-ais-role-journalism-and-society</link><guid isPermaLink="false">ai-public-opinion/reuters-institute-genai-news-2025</guid><description>Reuters Institute/Copenhagen survey across 6 countries finds AI usage surged from 40% to 61%, weekly usage doubled from 18% to 34%. ChatGPT leads at 22% weekly usage. Information-seeking now primary use (24% weekly), surpassing media creation. Only 12% comfortable with fully AI-generated news vs 62% for human-made. 61% of Americans saw AI search answers last week, but only 33% click through to sources. | Notes: Published 2025. YouGov survey conducted June 5-July 15, 2025 across Argentina, Denmark, France, Japan, UK, US. Shows dramatic acceleration in AI adoption but persistent trust deficit in AI journalism. Documents shift from creation to information-seeking as primary AI use case. | Tags: Reuters Institute, AI, Generative AI, Journalism, News, 2025, 6 countries, Trust | Author: Reuters Institute for the Study of Journalism, University of Oxford &amp; University of Copenhagen | Source: reutersinstitute.politics.ox.ac.uk</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Reuters Institute</category><category>AI</category><category>Generative AI</category><category>Journalism</category><category>News</category><category>2025</category><category>6 countries</category><category>Trust</category><author>Reuters Institute for the Study of Journalism, University of Oxford &amp; University of Copenhagen</author></item><item><title>Stack Overflow Developer Survey 2025 - AI Section</title><link>https://survey.stackoverflow.co/2025/ai</link><guid isPermaLink="false">ai-public-opinion/stackoverflow-developer-survey-2025-ai</guid><description>Survey of developers finds 84% using or planning to use AI tools (up from 76% in 2024), with 51% using AI daily. Trust declining: 46% don&apos;t trust AI accuracy (up from 31% last year). Positive sentiment dropped from 70%+ to 60%. Top frustrations: 66% cite &apos;AI solutions almost right but not quite&apos;, 45% find debugging AI code time-consuming. 76% resist AI for deployment/monitoring, 69% for project planning. 75% say they&apos;d still ask humans when don&apos;t trust AI. | Notes: Published July 2025. Annual developer survey with dedicated AI section. Shows paradox of increasing adoption with declining trust. Documents developer skepticism about AI for high-stakes tasks. Positions human developers as &apos;ultimate arbiters of quality and correctness.&apos; | Tags: Stack Overflow, AI, Developer Survey, 2025, Programming, Trust, Adoption, Software Development | Author: Stack Overflow | Source: stackoverflow.co</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stack Overflow</category><category>AI</category><category>Developer Survey</category><category>2025</category><category>Programming</category><category>Trust</category><category>Adoption</category><category>Software Development</category><author>Stack Overflow</author></item><item><title>The AI Index Report 2025 - Chapter 8: Public Opinion</title><link>https://hai.stanford.edu/ai-index/2025-ai-index-report</link><guid isPermaLink="false">ai-public-opinion/stanford-hai-2025-ai-index-chapter8</guid><description>Stanford HAI&apos;s annual comprehensive analysis of global AI public opinion trends. Tracks sentiment across countries, demographics, and time. Documents increasing concerns about AI&apos;s societal impact, trust deficits in tech companies, and growing support for regulation. Provides essential benchmarking data for understanding public attitudes toward AI. | Notes: Released 2025. Chapter 8 of the comprehensive annual AI Index Report. Most authoritative source for tracking global AI public opinion trends. Includes data from multiple countries and demographic breakdowns. | Tags: Stanford HAI, AI Index, Public Opinion, 2025, Global, Survey, Report | Author: Stanford University Human-Centered AI Institute | Source: hai.stanford.edu</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stanford HAI</category><category>AI Index</category><category>Public Opinion</category><category>2025</category><category>Global</category><category>Survey</category><category>Report</category><author>Stanford University Human-Centered AI Institute</author></item><item><title>Artificial Intelligence in Financial Services: Uses, Opportunities, and Risks</title><link>https://home.treasury.gov/news/press-releases/jy2760</link><guid isPermaLink="false">ai-public-opinion/us-treasury-ai-financial-services</guid><description>US Department of Treasury report on AI in financial services sector based on Request for Information receiving 103 comment letters from financial firms, consumer groups, tech providers, fintech companies, trade associations, and consulting firms. Documents increasing AI use throughout financial sector. Highlights GenAI potential to broaden opportunities while amplifying risks related to data privacy, bias, and third-party providers. | Notes: Published December 19, 2024. Synthesizes feedback from RFI issued June 12, 2024 with 103 responses from diverse stakeholders. Recommends next steps for AI governance in financial sector. Companion to earlier March 2024 report on AI-specific cybersecurity risks written per Executive Order 14110. | Tags: US Treasury, AI, Generative AI, Financial Services, 2024, Policy, Regulation | Author: U.S. Department of the Treasury | Source: treasury.gov</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>US Treasury</category><category>AI</category><category>Generative AI</category><category>Financial Services</category><category>2024</category><category>Policy</category><category>Regulation</category><author>U.S. Department of the Treasury</author></item><item><title>Americans&apos; Top Feeling About AI: Caution</title><link>https://today.yougov.com/technology/articles/49099-americans-2024-poll-ai-top-feeling-caution</link><guid isPermaLink="false">ai-public-opinion/yougov-americans-top-feeling-caution-2024</guid><description>YouGov survey finds 54% describe feelings about AI as &apos;cautious&apos;, 49% &apos;concerned&apos;, 29% &apos;curious&apos;, 22% &apos;scared&apos;. December 2024 follow-up shows similar results: 53% cautious, 46% concerned, 36% skeptical, 34% curious, 26% hopeful, 24% impressed, 24% excited. Despite caution, 31% say AI makes life easier vs 13% harder. | Notes: Published March 2024. Survey of 1,073 US adult citizens conducted March 14-18, 2024. Tracks emotional responses to AI adoption. Shows cautious optimism with practical benefits acknowledged despite concerns. | Tags: YouGov, AI, Public Opinion, 2024, US, Sentiment, Caution, Trust | Author: YouGov | Source: yougov.com</description><pubDate>Fri, 17 Oct 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>YouGov</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>US</category><category>Sentiment</category><category>Caution</category><category>Trust</category><author>YouGov</author></item><item><title>Eurobarometer 566: Digital Decade Survey 2025 (Feb/Mar)</title><link>https://europa.eu/eurobarometer/surveys/detail/3362</link><guid isPermaLink="false">ai-public-opinion/eurobarometer-digital-decade-2025</guid><description>Special Eurobarometer 566 on Digital Decade 2025. 73% say digitalization makes life easier. 84% expect digital tech crucial for public services &amp; social connections by 2030. Top concerns: 93% urgent action on social media&apos;s mental health impact on children, 88% countering fake news. 34% face geo-blocking, mainly for films/series (25%). | Notes: Special Eurobarometer 566 conducted Feb-Mar 2025. First survey after AI Act entered force (Aug 2024) and Cyber Resilience Act (Dec 2024). Shows stability in digital optimism but growing concerns about online safety for children and fake news. Covers 27 EU countries with 26,319 respondents. | Tags: Eurobarometer, EU, Digital Decade, 2025, Survey, AI Act, Cyber Resilience, Digital Rights, Children Safety, Disinformation | Author: European Commission | Source: europa.eu</description><pubDate>Mon, 04 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Eurobarometer</category><category>EU</category><category>Digital Decade</category><category>2025</category><category>Survey</category><category>AI Act</category><category>Cyber Resilience</category><category>Digital Rights</category><category>Children Safety</category><category>Disinformation</category><author>European Commission</author></item><item><title>The AI Index Report 2023</title><link>https://hai.stanford.edu/ai-index/2023-ai-index-report</link><guid isPermaLink="false">ai-public-opinion/stanford-ai-index-2023-full-report</guid><description>Stanford HAI&apos;s comprehensive annual analysis tracking AI&apos;s progress and impact. Key findings include significant advances in AI capabilities, growing industry investment, increasing regulatory attention, and mixed public sentiment about AI&apos;s societal effects. | Notes: Annual comprehensive report examining AI development, deployment, and impact across technical performance, ethics, economy, education, policy, and public perception. | Tags: Stanford, AI, Public Opinion, 2023, Report, Industry, Investment, Research, Regulation, HAI | Author: Stanford University Human-Centered AI Institute | Source: hai.stanford.edu</description><pubDate>Mon, 04 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stanford</category><category>AI</category><category>Public Opinion</category><category>2023</category><category>Report</category><category>Industry</category><category>Investment</category><category>Research</category><category>Regulation</category><category>HAI</category><author>Stanford University Human-Centered AI Institute</author></item><item><title>The AI Index Report 2025</title><link>https://hai.stanford.edu/ai-index/2025-ai-index-report</link><guid isPermaLink="false">ai-public-opinion/stanford-ai-index-2025-full-report</guid><description>Stanford HAI&apos;s annual comprehensive analysis of AI&apos;s global impact. Tracks trends in research, development, technical performance, ethics, policy, education, public opinion, and economic impact. Builds on 2024 findings showing industry dominance in model development and growing public concerns about AI&apos;s societal effects. | Notes: Released 2025. Annual comprehensive report examining AI&apos;s impact across multiple dimensions including technical progress, economic effects, and public perception. Continues tracking of key metrics established in previous editions. | Tags: Stanford, AI, Public Opinion, 2025, Report, Industry, Investment, Research, Regulation, HAI | Author: Stanford University Human-Centered AI Institute | Source: aiindex.stanford.edu</description><pubDate>Mon, 04 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stanford</category><category>AI</category><category>Public Opinion</category><category>2025</category><category>Report</category><category>Industry</category><category>Investment</category><category>Research</category><category>Regulation</category><category>HAI</category><author>Stanford University Human-Centered AI Institute</author></item><item><title>UChicago Harris/AP-NORC Poll: Bipartisan Concern About AI in 2024 Elections</title><link>https://harris.uchicago.edu/news-events/news/uchicago-harrisap-norc-poll-there-bipartisan-concern-about-use-artificial</link><guid isPermaLink="false">ai-public-opinion/ap-norc-ai-elections-2024</guid><description>58% of adults concerned about AI spreading false information during 2024 presidential election. Strong bipartisan support for regulation including banning false AI content in political ads (66%) and requiring AI content labeling (65%). | Notes: Survey conducted October 19-23, 2023 with 1,017 adults. Only 14% likely to use AI for election info, 54% have not heard much about AI. | Tags: AP-NORC, AI, Elections, 2024, Public Opinion, Misinformation, Regulation | Author: UChicago Harris School of Public Policy and AP-NORC | Source: harris.uchicago.edu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>AP-NORC</category><category>AI</category><category>Elections</category><category>2024</category><category>Public Opinion</category><category>Misinformation</category><category>Regulation</category><author>UChicago Harris School of Public Policy and AP-NORC</author></item><item><title>Bentley-Gallup Business in Society Research Hub</title><link>https://www.gallup.com/analytics/512066/bentley-business-in-society.aspx</link><guid isPermaLink="false">ai-public-opinion/bentley-gallup-ai-survey</guid><description>75% of Americans believe AI will reduce total jobs over next 10 years. 77-79% don&apos;t trust businesses to use AI responsibly, but 57% say transparency would help. Majority believe AI does equal harm and good (56%), with 31% thinking it does more harm than good. | Notes: 2024 survey of 5,835 US adults conducted April 29-May 6. 85% concerned about AI in hiring, 83% in self-driving, 80% in medical advice. Annual partnership since 2022. | Tags: Bentley, Gallup, AI, Business, Society, Employment, Trust, Transparency | Author: Bentley University &amp; Gallup | Source: gallup.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Bentley</category><category>Gallup</category><category>AI</category><category>Business</category><category>Society</category><category>Employment</category><category>Trust</category><category>Transparency</category><author>Bentley University &amp; Gallup</author></item><item><title>What the public thinks about AI and the implications for governance</title><link>https://www.brookings.edu/articles/what-the-public-thinks-about-ai-and-the-implications-for-governance/</link><guid isPermaLink="false">ai-public-opinion/brookings-public-opinion-governance</guid><description>49% of US respondents believe AI risks outweigh benefits. 71% globally disagree that AI regulation is not needed. 82% of US voters believe tech executives can&apos;t be trusted to self-regulate. 53% of US adults expect AI to increase unemployment. | Notes: Published April 9, 2025. Recommends investing in high-quality, longitudinal tracking of public opinion on AI with standardized measurement methods. | Tags: Brookings, AI, Public Opinion, Governance, Regulation, Employment | Author: Noemi Dreksler, Stephen Clare, Kaylyn Jackson Schiff, Daniel S. Schiff, Chloe Ahn, Zachary Peskowitz, Harry Law | Source: brookings.edu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Brookings</category><category>AI</category><category>Public Opinion</category><category>Governance</category><category>Regulation</category><category>Employment</category><author>Noemi Dreksler, Stephen Clare, Kaylyn Jackson Schiff, Daniel S. Schiff, Chloe Ahn, Zachary Peskowitz, Harry Law</author></item><item><title>Public opinion lessons for AI regulation</title><link>https://www.brookings.edu/articles/public-opinion-lessons-for-ai-regulation/</link><guid isPermaLink="false">ai-public-opinion/brookings-public-opinion-regulation</guid><description>84% of Americans believe AI should be carefully managed. 56% trust law enforcement&apos;s use of facial recognition, with lower support among young adults, Black Americans, and Democrats. 51% think tech companies need more regulation, with partisan divides on platform bias. | Notes: Published December 10, 2019. Early research showing public opinion varies significantly across AI applications, with partisan and demographic differences shaping regulatory attitudes. | Tags: Brookings, AI, Public Opinion, Regulation, Facial Recognition, Autonomous Weapons | Author: Baobao Zhang | Source: brookings.edu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Brookings</category><category>AI</category><category>Public Opinion</category><category>Regulation</category><category>Facial Recognition</category><category>Autonomous Weapons</category><author>Baobao Zhang</author></item><item><title>Eurobarometer 3174: Digital Decade Survey 2024 (July)</title><link>https://europa.eu/eurobarometer/surveys/detail/3174</link><guid isPermaLink="false">ai-public-opinion/eurobarometer-digital-decade-survey</guid><description>80% of Europeans consider digital technologies will be important in their lives by 2030. 76% believe advanced connectivity and cybersecurity will improve daily digital use. 30% don&apos;t feel equipped for Digital Decade and want more digital skills training. 67% think digital tech will help fight climate change. | Notes: Survey 3174 from July 2024. Builds on June 2023 survey (2959). Key priorities: better connectivity (76%), affordability (75%), data protection, and cybersecurity. | Tags: Eurobarometer, EU, Digital Decade, Survey, Digital Skills, Connectivity, Cybersecurity | Author: European Commission | Source: europa.eu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Eurobarometer</category><category>EU</category><category>Digital Decade</category><category>Survey</category><category>Digital Skills</category><category>Connectivity</category><category>Cybersecurity</category><author>European Commission</author></item><item><title>Optimism and Anxiety: Views on the Impact of Artificial Intelligence and Higher Education&apos;s Response</title><link>https://news.gallup.com/reports/226475/gallup-northeastern-artificial-intelligence-report.aspx</link><guid isPermaLink="false">ai-public-opinion/gallup-northeastern-ai-readiness</guid><description>73% of Americans believe AI will eliminate more jobs than it creates. Up to 47% of US jobs at risk within 20 years. Explores workforce displacement concerns and education/retraining needs for AI economy. | Notes: Published March 31, 2018. Early comprehensive survey on AI&apos;s workforce impact. Emphasizes need for proactive education and government response. | Tags: Gallup, Northeastern, AI, Employment, Education, Workforce, 2018 | Author: Gallup &amp; Northeastern University | Source: gallup.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Gallup</category><category>Northeastern</category><category>AI</category><category>Employment</category><category>Education</category><category>Workforce</category><category>2018</category><author>Gallup &amp; Northeastern University</author></item><item><title>Our Life With AI: From Innovation to Application - Google/Ipsos Multi-Country Survey 2025</title><link>https://www.ipsos.com/en-us/google-ipsos-multi-country-ai-survey-2025</link><guid isPermaLink="false">ai-public-opinion/google-ipsos-multi-country-ai-survey-2025</guid><description>Global AI usage jumped 10 points to 48%. Excitement about AI (57%) now exceeds concerns (43%). 74% of AI users apply it at work. Healthcare/science seen as top benefit areas (72% positive). Emerging markets lead in adoption and optimism. | Notes: Published January 14, 2025. Survey of 21,043 adults across 21 countries (Sept 17-Oct 8, 2024). Shows gender gap: 55% of AI users are men. US more cautious than global average. | Tags: Google, Ipsos, AI, Public Opinion, 2025, Survey, Global, Workplace | Author: Google &amp; Ipsos | Source: ipsos.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Google</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2025</category><category>Survey</category><category>Global</category><category>Workplace</category><author>Google &amp; Ipsos</author></item><item><title>Harvard Undergraduate Survey on Generative AI</title><link>https://arxiv.org/abs/2406.00833</link><guid isPermaLink="false">ai-public-opinion/harvard-undergrad-ai-survey-2024</guid><description>90% of Harvard students use generative AI. 25% use it to substitute for office hours or required readings. 50% worried AI will harm job prospects. 40% believe AI extinction risk should be treated as global priority like pandemics. Half expect AI to exceed human capabilities within 30 years. | Notes: Submitted June 2, 2024, revised August 8, 2024. First major survey of elite university students&apos; AI attitudes. Over half want more classes on AI&apos;s future impacts. | Tags: Harvard, AI, Public Opinion, 2024, Survey, arXiv, Students, Education, Extinction Risk | Author: Shikoh Hirabayashi, Rishab Jain, Nikola Jurković, Gabriel Wu | Source: arxiv.org</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Harvard</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>Survey</category><category>arXiv</category><category>Students</category><category>Education</category><category>Extinction Risk</category><author>Shikoh Hirabayashi, Rishab Jain, Nikola Jurković, Gabriel Wu</author></item><item><title>The Ipsos AI Monitor 2024 - APAC Report</title><link>https://www.ipsos.com/sites/default/files/ct/news/documents/2024-06/Ipsos-AI-Monitor-2024-final-APAC.pdf</link><guid isPermaLink="false">ai-public-opinion/ipsos-ai-monitor-2024-apac</guid><description>Asia-Pacific shows highest AI excitement globally. Third annual survey across 32 countries. People trust AI more than humans to avoid discrimination (54% vs 45%). 36% expect AI to replace their jobs, with higher education workers most concerned. | Notes: Published June 2024. Direct PDF link to Asia-Pacific regional findings from global AI Monitor survey. | Tags: Ipsos, AI, Public Opinion, 2024, APAC, Asia-Pacific, Trust, Employment | Author: Ipsos | Source: ipsos.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>APAC</category><category>Asia-Pacific</category><category>Trust</category><category>Employment</category><author>Ipsos</author></item><item><title>The Ipsos AI Monitor 2024 - Global Report</title><link>https://www.ipsos.com/en/ipsos-ai-monitor-2024-changing-attitudes-and-feelings-about-ai-and-future-it-will-bring</link><guid isPermaLink="false">ai-public-opinion/ipsos-ai-monitor-2024-global</guid><description>53% excited about AI products vs 50% nervous. 37% think AI will improve their job vs 16% worsen. 67% claim good AI understanding (72% Gen Z, 58% Boomers). 37% worry AI will worsen disinformation. Anglosphere and Europe most skeptical, Asia most optimistic. | Notes: Third annual survey, published June 2024. Covers 32 countries. Ireland only country where people trust humans more than AI to avoid discrimination. Attitudes plateaued after 2023 increases. | Tags: Ipsos, AI, Public Opinion, 2024, Global, Trust, Employment, Disinformation | Author: Ipsos | Source: ipsos.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>Global</category><category>Trust</category><category>Employment</category><category>Disinformation</category><author>Ipsos</author></item><item><title>Global Views on AI 2023 - Ipsos Global Advisor</title><link>https://www.ipsos.com/sites/default/files/ct/news/documents/2023-07/Ipsos%20Global%20AI%202023%20Report-WEB_0.pdf</link><guid isPermaLink="false">ai-public-opinion/ipsos-global-ai-report-2023</guid><description>67% claim good AI understanding but only 51% know which products use AI. Nearly equal nervousness (52%) vs excitement (54%). 36% of workers expect AI to replace their job. Emerging markets AI-enthusiastic, high-income countries AI-wary. Nervousness increased most since previous survey. | Notes: Survey of 22,816 adults across 31 countries, May 26-June 9, 2023. 66% expect AI to significantly change daily life in 3-5 years. South Korea/SE Asia 35-40 points more positive than Northwestern Europe/North America. | Tags: Ipsos, AI, Public Opinion, 2023, Global, Employment, Trust | Author: Ipsos | Source: ipsos.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Ipsos</category><category>AI</category><category>Public Opinion</category><category>2023</category><category>Global</category><category>Employment</category><category>Trust</category><author>Ipsos</author></item><item><title>Generative AI Awareness, Interest Surging - Morning Consult Analysis</title><link>https://pro.morningconsult.com/analysis/generative-artificial-intelligence</link><guid isPermaLink="false">ai-public-opinion/morning-consult-gen-ai-analysis</guid><description>Only 10% find GenAI trustworthy despite 52% saying it&apos;s here to stay. Top consumer interests: AI-powered search (49%), recipes (48%), roadside assistance (48%). Men 2x more interested than women in AI companions. Millennials form early adopter base. Entertainment/e-commerce adoption stagnant. | Notes: Ongoing tracking from 2023. Pro subscription may be required. Highlights trust gap: equal shares find AI &apos;very trustworthy&apos; (10%) and &apos;not at all trustworthy&apos; (11%). ChatGPT awareness jumped to 47%. | Tags: Morning Consult, AI, Generative AI, Analysis, Consumer Trust, Demographics | Author: Morning Consult | Source: morningconsult.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Morning Consult</category><category>AI</category><category>Generative AI</category><category>Analysis</category><category>Consumer Trust</category><category>Demographics</category><author>Morning Consult</author></item><item><title>What Americans Think About AI in 20+ Charts</title><link>https://pro.morningconsult.com/analyst-reports/views-on-ai-chart-pack</link><guid isPermaLink="false">ai-public-opinion/morning-consult-views-on-ai-charts</guid><description>56% say AI integrations are the future of technology, exceeding interest in metaverse/Web3. Prefer AI that assists rather than replaces humans. Bipartisan regulatory support: 49% Democrats, 44% Republicans want more regulation. 40% of US adults used AI in past month. | Notes: Published January 2024. 20+ charts covering interests, concerns, development, and regulation. Gen Z shows highest AI usage. Pro subscription may be required. | Tags: Morning Consult, AI, Charts, Data, Consumer Preferences, Regulation | Author: Morning Consult | Source: morningconsult.com</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Morning Consult</category><category>AI</category><category>Charts</category><category>Data</category><category>Consumer Preferences</category><category>Regulation</category><author>Morning Consult</author></item><item><title>Who will be the workers most affected by AI?</title><link>https://www.oecd-ilibrary.org/employment/who-will-be-the-workers-most-affected-by-ai_14dc6f89-en</link><guid isPermaLink="false">ai-public-opinion/oecd-workers-affected-by-ai-2024</guid><description>Tertiary-educated white-collar workers face AI disruption but no job losses yet. Greater risk for workers without degrees, women, and older workers from lower access to AI opportunities and tools. Impact more nuanced than simple job displacement - focuses on inequality of AI access. | Notes: Published October 31, 2024. OECD Artificial Intelligence Papers. Identifies risks for specific socio-demographic groups to help policymakers target support and capture AI benefits without increasing inequalities. | Tags: OECD, AI, Labor, Future of Work, 2024, Gender, Education, Inequality | Author: OECD | Source: oecd.org</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>OECD</category><category>AI</category><category>Labor</category><category>Future of Work</category><category>2024</category><category>Gender</category><category>Education</category><category>Inequality</category><author>OECD</author></item><item><title>How the US Public and AI Experts View Artificial Intelligence</title><link>https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/</link><guid isPermaLink="false">ai-public-opinion/pew-research-us-public-ai-experts-2025</guid><description>Survey of 5,410 US adults (Aug 2024) vs AI experts. Public more concerned than experts about AI impacts. Experts more optimistic, especially on jobs. Both groups want personal control and worry about lax regulation. Gender gap among experts: men more optimistic than women. | Notes: Survey of 5,410 adults Aug 12-18 2024. Expert survey from AI conference authors/presenters 2023-2024. 30 in-depth expert interviews Oct-Nov 2024. Shows stark divergence between public concern and expert optimism about AI. | Tags: Pew Research, AI, Public Opinion, 2024, US, Expert Opinion, Gender Gap, Regulation | Author: Pew Research Center | Source: pewresearch.org</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Pew Research</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>US</category><category>Expert Opinion</category><category>Gender Gap</category><category>Regulation</category><author>Pew Research Center</author></item><item><title>Stanford AI Index Report 2024 (Chapter 9: Public Opinion)</title><link>https://aiindex.stanford.edu/wp-content/uploads/2024/04/HAI_AI-Index-Report-2024_Chapter9.pdf</link><guid isPermaLink="false">ai-public-opinion/stanford-ai-index-2024-chapter-9</guid><description>Examines global AI attitudes using Ipsos, University of Toronto, and Pew data. 63% aware of ChatGPT, half use weekly. Economic pessimism: only 37% believe AI improves jobs, 34% economy. Younger generations more optimistic. Over half nervous about AI (up from 39%). Western nations becoming more positive. | Notes: Chapter 9 of comprehensive 9-chapter report. Key finding: 59% Gen Z vs 40% baby boomers believe AI improves entertainment. Netherlands saw biggest positive shift among Western nations. Two-thirds expect AI to profoundly change daily life in coming years. | Tags: Stanford, AI, Public Opinion, 2024, ChatGPT, Ipsos, Demographics, Economic Impact | Author: Stanford University Human-Centered AI Institute | Source: aiindex.stanford.edu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stanford</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>ChatGPT</category><category>Ipsos</category><category>Demographics</category><category>Economic Impact</category><author>Stanford University Human-Centered AI Institute</author></item><item><title>The AI Index Report 2024</title><link>https://aiindex.stanford.edu/report/</link><guid isPermaLink="false">ai-public-opinion/stanford-ai-index-2024-full-report</guid><description>500-page comprehensive analysis across 9 chapters. Key findings: Industry produced 51 notable models vs academia&apos;s 15. Training costs exceeded $100M for GPT-4/Gemini. 8x surge in GenAI investment since 2022. US leads with 61 models. 52% Americans more concerned than excited about AI (up from 38%). | Notes: Released April 15, 2024. Most comprehensive edition covering R&amp;D, performance, responsible AI, economy, science/medicine, education, policy, diversity, public opinion. New: AI training cost estimates, responsible AI analysis, science/medicine chapter. 12.1% increase in FDA-approved AI medical devices since 2021. | Tags: Stanford, AI, Public Opinion, 2024, Report, Industry, Investment, Research, Regulation | Author: Stanford University Human-Centered AI Institute | Source: aiindex.stanford.edu</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>Stanford</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>Report</category><category>Industry</category><category>Investment</category><category>Research</category><category>Regulation</category><author>Stanford University Human-Centered AI Institute</author></item><item><title>Global Public Opinion on Artificial Intelligence (GPO-AI) Survey</title><link>https://srinstitute.utoronto.ca/news/public-opinion-ai-survey-24</link><guid isPermaLink="false">ai-public-opinion/utoronto-gpo-ai-report-2024</guid><description>Survey of 23,882 people across 21 countries in 12 languages (Oct-Nov 2023). Covers AI safety, regulation, autonomous vehicles, job impact. Examines trust in AI for daily decisions, attitudes on AI in education/justice/healthcare. Includes ChatGPT awareness and deepfake experience data. Featured in Stanford AI Index 2024. | Notes: Led by Peter Loewen. Countries: Argentina, Australia, Brazil, Canada, Chile, China, France, Germany, India, Indonesia, Italy, Japan, Kenya, Mexico, Pakistan, Poland, Portugal, South Africa, Spain, UK, US. Data available via U of T Dataverse. Represents over half world population. | Tags: University of Toronto, AI, Public Opinion, 2023, Survey, GPO-AI, International, ChatGPT, Deepfakes | Author: Schwartz Reisman Institute and PEARL, University of Toronto | Source: srinstitute.utoronto.ca</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>University of Toronto</category><category>AI</category><category>Public Opinion</category><category>2023</category><category>Survey</category><category>GPO-AI</category><category>International</category><category>ChatGPT</category><category>Deepfakes</category><author>Schwartz Reisman Institute and PEARL, University of Toronto</author></item><item><title>YouGov / Artificial Intelligence Poll Results (March 2024)</title><link>https://ygo-assets-websites-editorial-emea.yougov.net/documents/Artificial_Intelligence_poll_results_20240314.pdf</link><guid isPermaLink="false">ai-public-opinion/yougov-ai-survey-2024-03</guid><description>Survey of 1,073 US adults (March 14-18 2024). 54% feel cautious about AI, 49% concerned. 44% use AI tools, text generation (23%) and chatbots (22%) most common. Only 31% say AI makes life easier. 55% don&apos;t trust AI for unbiased decisions, 62% for ethical decisions. 3% experienced AI-related job loss. | Notes: 44% believe AI will eventually surpass human intelligence, 14% think it already has. 15% very concerned about AI ending humanity. Younger Americans (under 45) more positive: 46% say AI makes life easier vs 18% of 45+. 88% know at least a little about AI, only 10% know a great deal. | Tags: YouGov, AI, Public Opinion, 2024, Survey, Trust, Employment, US | Author: YouGov | Source: yougov.net</description><pubDate>Sun, 03 Aug 2025 00:00:00 GMT</pubDate><category>AI &amp; Public Opinion</category><category>YouGov</category><category>AI</category><category>Public Opinion</category><category>2024</category><category>Survey</category><category>Trust</category><category>Employment</category><category>US</category><author>YouGov</author></item></channel></rss>