<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Unite: new report summaries</title><description>Short, sourced summaries of new business AI research.</description><link>https://aiunite.org/</link><item><title>Challenger Report: September Layoff Plans Fall to 43,281; Seasonal Hiring Muted (Challenger, Gray &amp; Christmas)</title><link>https://aiunite.org/reports/challenger-job-cuts-ai-2026-08/</link><guid isPermaLink="true">https://aiunite.org/reports/challenger-job-cuts-ai-2026-08/</guid><description>Challenger, Gray &amp; Christmas&apos;s September 2026 Challenger Report (October 2026; 573,195 announced U.S. job cuts, labor data) found that AI was cited in 120,136 announced cuts so far in 2026, about 21% of all cuts and still the leading reason year-to-date.</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>workforce</category></item><item><title>Technology Report 2026 (Bain &amp; Company)</title><link>https://aiunite.org/reports/bain-technology-report-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/bain-technology-report-2026/</guid><description>Bain &amp; Company&apos;s Technology Report 2026 (September 2026; n=293, executive survey) found that senior technology leaders expect a 95% uplift in software developer productivity within one to two years, while the gains most are capturing today are 20% to 27%.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>strategy</category><category>productivity</category><category>agents</category></item><item><title>Global AI Pulse Q3 2026: AI at scale: Accountability, resilience and economics (KPMG)</title><link>https://aiunite.org/reports/kpmg-global-ai-pulse-q3-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/kpmg-global-ai-pulse-q3-2026/</guid><description>KPMG&apos;s Global AI Pulse Q3 2026: AI at scale: Accountability, resilience and economics (September 2026; n=2,131, fielded Jul 23–Aug 26, 2026) found that 12% consistently assess the value AI generates against what it costs.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>agents</category><category>roi-value</category><category>governance-risk</category></item><item><title>EY AI Risk and Governance Survey 2026 (EY-Parthenon)</title><link>https://aiunite.org/reports/ey-ai-risk-governance-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ey-ai-risk-governance-2026/</guid><description>EY&apos;s AI Risk and Governance Survey 2026 (September 2026; n=202, executive survey) found that 98% have formal AI governance policies, yet 47% say their organization has previously not applied its AI governance process for urgent deployments.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>governance-risk</category><category>agents</category></item><item><title>Ramp AI Index, September 2026: Cracks in the AI Thesis, Part 2 (Ramp)</title><link>https://aiunite.org/reports/ramp-ai-index-2026-09/</link><guid isPermaLink="true">https://aiunite.org/reports/ramp-ai-index-2026-09/</guid><description>Ramp&apos;s AI Index for September 2026 (September 2026; transactions from 70,000+ U.S. businesses on its platform, usage data) found that 43.8% of businesses paid for Anthropic and 39.8% for OpenAI in August, while median AI spend per employee at the top 1% of spenders fell 9.7% to $7,205 a month.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>spending</category><category>adoption</category></item><item><title>Gartner Survey Finds Only 22% of Organizations Have Successfully Scaled AI Across Multiple Business Units (press release) (Gartner)</title><link>https://aiunite.org/reports/gartner-scaled-ai-survey-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/gartner-scaled-ai-survey-2026/</guid><description>Gartner&apos;s Gartner Survey Finds Only 22% of Organizations Have Successfully Scaled AI Across Multiple Business Units (press release) (September 2026; n=1,303, fielded Jan–Apr 2026) found that 22% of organizations have scaled AI across multiple business units or adopted an AI-first approach.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category><category>strategy</category></item><item><title>Businesses Are Using AI to Transform Work, Not Cut Jobs (Federal Reserve Bank of New York)</title><link>https://aiunite.org/reports/ny-fed-ai-hiring-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ny-fed-ai-hiring-2026/</guid><description>The New York Fed&apos;s Businesses Are Using AI to Transform Work, Not Cut Jobs (September 2026; regional business surveys, executive survey) found that 61% of service firms now use AI, but only 4% laid off workers because of it in the past six months, while about 15% hired fewer and about 13% hired more.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category><category>adoption</category></item><item><title>The state of AI in 2026: On the road to ROI (McKinsey &amp; Company)</title><link>https://aiunite.org/reports/mckinsey-state-of-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/mckinsey-state-of-ai-2026/</guid><description>McKinsey &amp; Company&apos;s The state of AI in 2026: On the road to ROI (August 2026; n=1,719, fielded May 4–Jun 8, 2026) found that 37% attribute any EBIT impact to AI, essentially unchanged from last year.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>roi-value</category><category>adoption</category><category>agents</category></item><item><title>Enterprise Signals: What Frontier Firms Are Doing Differently (OpenAI)</title><link>https://aiunite.org/reports/openai-enterprise-signals-2026-08/</link><guid isPermaLink="true">https://aiunite.org/reports/openai-enterprise-signals-2026-08/</guid><description>OpenAI&apos;s Enterprise Signals: What Frontier Firms Are Doing Differently (August 2026; enterprise usage data) found that as of June 2026 its Codex agent generated 64% of combined Codex and ChatGPT output tokens among enterprise customers.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>agents</category><category>adoption</category><category>strategy</category></item><item><title>Mid-Market Pulse No. 3, 2026: AI Adoption Surges as Healthcare Costs Rise (CBIZ)</title><link>https://aiunite.org/reports/cbiz-mid-market-pulse-q3-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/cbiz-mid-market-pulse-q3-2026/</guid><description>CBIZ&apos;s Mid-Market Pulse No. 3, 2026: AI Adoption Surges as Healthcare Costs Rise (August 2026) found that 2% of respondents report achieving measurable business impact from AI.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>mid-market</category><category>roi-value</category></item><item><title>Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence (Stanford Digital Economy Lab)</title><link>https://aiunite.org/reports/stanford-del-canaries-2025/</link><guid isPermaLink="true">https://aiunite.org/reports/stanford-del-canaries-2025/</guid><description>Stanford Digital Economy Lab&apos;s Canaries in the Coal Mine? (August 2026 update; ADP payroll data on 3.5–5 million workers a month, labor data) found that employment of 22–25-year-olds in the most AI-exposed occupations stands 19% below where it would be had it kept pace with less-exposed peers, while overall employment shows no widespread displacement.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category></item><item><title>Cost of a Data Breach Report 2026 (IBM Institute for Business Value)</title><link>https://aiunite.org/reports/ibm-cost-data-breach-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ibm-cost-data-breach-2026/</guid><description>IBM&apos;s Cost of a Data Breach Report 2026 (July 2026; 602 breached organizations studied by Ponemon Institute) found that one in four malicious breaches were AI-enabled, costing about $6 million on average versus a $4.99 million global average.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>governance-risk</category><category>roi-value</category></item><item><title>Mid-Year 2026 Middle Market Indicator (National Center for the Middle Market)</title><link>https://aiunite.org/reports/ncmm-mmi-midyear-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ncmm-mmi-midyear-2026/</guid><description>National Center for the Middle Market&apos;s Mid-Year 2026 Middle Market Indicator (July 2026; n=1,000, fielded June 2026) found that 9 in 10 middle market companies report using AI.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>mid-market</category><category>adoption</category></item><item><title>2026 GenAI Code Security Report (Veracode)</title><link>https://aiunite.org/reports/veracode-genai-code-security-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/veracode-genai-code-security-2026/</guid><description>Veracode&apos;s 2026 GenAI Code Security Report (July 2026; 11 new models tested on 80 coding tasks, benchmark) found that AI-generated code passed security tests 56% of the time on average, barely changed from 55% in its first report.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>governance-risk</category><category>productivity</category></item><item><title>Pulse of Change (July 2026) (Accenture)</title><link>https://aiunite.org/reports/accenture-pulse-of-change-2026-jul/</link><guid isPermaLink="true">https://aiunite.org/reports/accenture-pulse-of-change-2026-jul/</guid><description>Accenture&apos;s Pulse of Change (July 2026) (July 2026; n=6,000 (3,000 C-suite + 3,000 employees), fielded Apr–Jun 2026) found that 23% of C-suite report widespread, sustained business value from AI, down from 32% earlier in 2026.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>roi-value</category><category>workforce</category></item><item><title>CFO Signals Q2 2026: AI governance and risk management (Deloitte)</title><link>https://aiunite.org/reports/deloitte-cfo-signals-q2-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/deloitte-cfo-signals-q2-2026/</guid><description>Deloitte&apos;s CFO Signals Q2 2026: AI governance and risk management (July 2026; n=200, fielded May 22–Jun 7, 2026) found that 93% of CFOs say their organizations use AI across key operations.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>strategy</category><category>governance-risk</category></item><item><title>State of AI Impact in Engineering: Q2 2026 Report (DX)</title><link>https://aiunite.org/reports/dx-state-of-ai-impact-engineering-q2-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/dx-state-of-ai-impact-engineering-q2-2026/</guid><description>DX&apos;s State of AI Impact in Engineering: Q2 2026 Report (July 2026; n=500+ engineering organizations, telemetry plus surveys) found that AI-generated code reached 52.7% of all code while median quarterly AI spend grew nearly 28x in a year in the tech sector and the share of time on new feature work stayed at roughly 57–58%.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>productivity</category><category>spending</category><category>roi-value</category></item><item><title>The Fifth Annual Domino Enterprise AI Report (Domino Data Lab)</title><link>https://aiunite.org/reports/domino-enterprise-ai-report-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/domino-enterprise-ai-report-2026/</guid><description>Domino Data Lab&apos;s Fifth Annual Domino Enterprise AI Report (July 2026; n=639 senior AI leaders, executive survey) found that 57% of enterprises say AI returns are not keeping pace with investment, unchanged since 2025, even as 93% report improved ability to move AI into production.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>roi-value</category><category>agents</category><category>governance-risk</category></item><item><title>RSM Middle Market AI Survey 2026: U.S. and Canada (RSM US)</title><link>https://aiunite.org/reports/rsm-mm-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/rsm-mm-ai-2026/</guid><description>RSM US&apos;s RSM Middle Market AI Survey 2026: U.S. and Canada (July 2026; n=1,030, fielded Mar 5–16, 2026) found that 36% have AI fully embedded across core processes.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>mid-market</category><category>adoption</category><category>roi-value</category></item><item><title>Tracking the Impact of AI on the Labor Market (The Budget Lab at Yale)</title><link>https://aiunite.org/reports/yale-budget-lab-ai-labor-market-2026-09/</link><guid isPermaLink="true">https://aiunite.org/reports/yale-budget-lab-ai-labor-market-2026-09/</guid><description>The Budget Lab at Yale&apos;s Tracking the Impact of AI on the Labor Market (July 2026, updated September 2026; CPS microdata through August 2026, government statistics) found no clear evidence of labor market disruption associated with AI, with occupational churn, AI exposure among the unemployed, and usage measures flat, within historical ranges, or on pre-AI trends.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category></item><item><title>AI and Job Postings: From Destruction to Creation? (Indeed Hiring Lab)</title><link>https://aiunite.org/reports/indeed-hiring-lab-ai-job-postings-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/indeed-hiring-lab-ai-job-postings-2026/</guid><description>Indeed Hiring Lab&apos;s AI and Job Postings: From Destruction to Creation? (July 2026; Indeed US job postings, labor data) found that software development postings rose almost 15% since late February 2025 while all postings fell 7%, with 71% of the past year&apos;s increase coming from senior roles.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category></item><item><title>2026 RIA Benchmarking Study (Charles Schwab)</title><link>https://aiunite.org/reports/schwab-ria-benchmarking-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/schwab-ria-benchmarking-2026/</guid><description>Charles Schwab&apos;s 2026 RIA Benchmarking Study (July 2026; n=1,236, fielded Jan–Mar 2026) found that 31% vs 19% Top Performing Firms vs. all others using AI to automate time-consuming, manual workflows.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>adoption</category></item><item><title>A New Look at AI&apos;s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment (Ramp)</title><link>https://aiunite.org/reports/ramp-heavy-ai-adopters-hire-more-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ramp-heavy-ai-adopters-hire-more-2026/</guid><description>Ramp Economics Lab&apos;s A New Look at AI&apos;s Impact on Jobs (June 2026; more than 21,000 US firms, spending and workforce data) found that firms in the top third of AI spend per employee grew headcount 10.2% and entry-level headcount 12% over the two years after adoption, while low-intensity adopters showed no significant change.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category><category>spending</category></item><item><title>Anthropic Economic Index report: Cadences (Anthropic)</title><link>https://aiunite.org/reports/anthropic-economic-index-2026-06/</link><guid isPermaLink="true">https://aiunite.org/reports/anthropic-economic-index-2026-06/</guid><description>Anthropic&apos;s Anthropic Economic Index report: Cadences (June 2026; n=~9,700 linked survey respondents; Claude usage data; 81,000 user interviews (Dec 2025), fielded Apr 10 – Jun 10, 2026) found that 86% of surveyed Claude users report speed gains from AI.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category><category>adoption</category></item><item><title>Future of Professionals Report 2026 (Thomson Reuters Institute)</title><link>https://aiunite.org/reports/tr-future-professionals-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/tr-future-professionals-2026/</guid><description>Thomson Reuters Institute&apos;s Future of Professionals Report 2026 (June 2026; n=1,816, fielded Mar–Apr 2026) found that 6% of corporate clients say most or all providers deliver AI-enabled quality improvements (78% say it is essential).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>workforce</category></item><item><title>The Small Business Perspective 2026 (U.S. Bank Small Business Survey) (U.S. Bank)</title><link>https://aiunite.org/reports/usbank-small-business-perspective-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/usbank-small-business-perspective-2026/</guid><description>U.S. Bank&apos;s The Small Business Perspective 2026 (U.S. Bank Small Business Survey) (June 2026; n=1,000 (+200 Gen Z oversample), fielded Feb 27 – Mar 17, 2026) found that 75% of small business owners say they now use AI in their business.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category></item><item><title>2026 Global AI Jobs Barometer: Two futures for jobs in an AI era (PwC)</title><link>https://aiunite.org/reports/pwc-ai-jobs-barometer-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/pwc-ai-jobs-barometer-2026/</guid><description>PwC&apos;s 2026 Global AI Jobs Barometer: Two futures for jobs in an AI era (June 2026; fielded Job ads data through 2025 (2018/2019 baselines)) found that 62% average wage premium for jobs requiring AI skills, up from 57% last year.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category></item><item><title>Work AI Index 2026: Botsitting, Botshitting &amp; the Hidden Human Labor of AI at Work (Glean (Work AI Institute))</title><link>https://aiunite.org/reports/glean-work-ai-index-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/glean-work-ai-index-2026/</guid><description>Glean&apos;s Work AI Index 2026 (June 2026; n=6,000 digital workers, worker survey) found that workers say AI saves them about 11 hours a week, yet they spend 6.4 hours a week &apos;botsitting&apos; AI and only 13% say AI has significantly improved their organization&apos;s performance.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>productivity</category><category>workforce</category><category>roi-value</category></item><item><title>AI Tax Research Solution Outlook Report 2026 (CPA.com and Blue J)</title><link>https://aiunite.org/reports/cpacom-bluej-tax-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/cpacom-bluej-tax-ai-2026/</guid><description>CPA.com and Blue J&apos;s AI Tax Research Solution Outlook Report 2026 (June 2026; n=1,000+) found that 60% of tax professionals use AI for tax research at least weekly, up from 33% in 2025.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>adoption</category></item><item><title>AI at Work 2026: Why Strategy Matters More Than Tools (Boston Consulting Group)</title><link>https://aiunite.org/reports/bcg-ai-at-work-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/bcg-ai-at-work-2026/</guid><description>Boston Consulting Group&apos;s AI at Work 2026: Why Strategy Matters More Than Tools (June 2026; n=11,749, fielded 2026 (dates not stated)) found that 74% of frontline employees are now regular AI users, up 23 points from 2025.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category><category>adoption</category></item><item><title>AI adoption in business grows steadily but unevenly (Federal Reserve Bank of Minneapolis)</title><link>https://aiunite.org/reports/minneapolis-fed-ai-adoption-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/minneapolis-fed-ai-adoption-2026/</guid><description>Federal Reserve Bank of Minneapolis&apos;s AI adoption in business grows steadily but unevenly (May 2026; fielded Sep 2023 – early 2026 (BTOS waves)) found that ~20% of Minnesota businesses use AI, the highest in the Ninth District (district ~18%).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>minnesota</category><category>adoption</category></item><item><title>Large Firms With at Least 20 Employees Biggest AI Users (America Counts story, Business Trends and Outlook Survey) (U.S. Census Bureau)</title><link>https://aiunite.org/reports/census-btos-ai-use-2026-05/</link><guid isPermaLink="true">https://aiunite.org/reports/census-btos-ai-use-2026-05/</guid><description>U.S. Census Bureau&apos;s Large Firms With at Least 20 Employees Biggest AI Users (America Counts story, Business Trends and Outlook Survey) (May 2026; n=Biweekly nationally representative BTOS panel (~1.2M firms sampled; ~20,000 responses per wave per Fed note), fielded Dec 14, 2025 – May 3, 2026) found that 17–20% of US businesses used AI in any business function, Dec 2025–May 2026.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category><category>mid-market</category></item><item><title>47th Annual Deltek Clarity Architecture &amp; Engineering Industry Study (Deltek)</title><link>https://aiunite.org/reports/deltek-clarity-ae-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/deltek-clarity-ae-2026/</guid><description>Deltek&apos;s 47th Annual Deltek Clarity Architecture &amp; Engineering Industry Study (May 2026; n=896) found that 38% of A&amp;E firms report measurable positive business impact from AI.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>adoption</category><category>roi-value</category></item><item><title>17th Annual Deltek Clarity Government Contracting Industry Study (Deltek)</title><link>https://aiunite.org/reports/deltek-clarity-govcon-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/deltek-clarity-govcon-2026/</guid><description>Deltek&apos;s 17th Annual Deltek Clarity Government Contracting Industry Study (May 2026; n=917) found that 5% of government contractors describe their AI maturity as fully developed.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category><category>strategy</category></item><item><title>2026 Work Trend Index: Agents, human agency, and the opportunity for every organization (Microsoft)</title><link>https://aiunite.org/reports/microsoft-work-trend-index-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/microsoft-work-trend-index-2026/</guid><description>Microsoft&apos;s 2026 Work Trend Index: Agents, human agency, and the opportunity for every organization (May 2026; n=20,000, fielded Feb 18 – Apr 7, 2026) found that 58% of AI users say they now produce work they couldn&apos;t a year ago.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>workforce</category><category>agents</category></item><item><title>2026 CEO Study: 5 plays for AI-first transformation (IBM Institute for Business Value)</title><link>https://aiunite.org/reports/ibm-ibv-ceo-study-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ibm-ibv-ceo-study-2026/</guid><description>IBM Institute for Business Value&apos;s 2026 CEO Study: 5 plays for AI-first transformation (May 2026; n=2,000, fielded Feb–Apr 2026) found that 25% of workers use AI regularly in their jobs, though 86% of CEOs think their people are ready.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>strategy</category><category>workforce</category></item><item><title>2026 AI Impact Survey Report: The AI Proof Gap (Grant Thornton)</title><link>https://aiunite.org/reports/grant-thornton-ai-impact-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/grant-thornton-ai-impact-2026/</guid><description>Grant Thornton&apos;s 2026 AI Impact Survey Report: The AI Proof Gap (April 2026; n=950, fielded Feb 23–Mar 18, 2026 (live interviews)) found that 78% lack strong confidence they could pass an independent AI governance audit within 90 days.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>governance-risk</category><category>roi-value</category><category>mid-market</category></item><item><title>The 2026 AI Index Report (Stanford HAI)</title><link>https://aiunite.org/reports/stanford-hai-ai-index-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/stanford-hai-ai-index-2026/</guid><description>Stanford HAI&apos;s The 2026 AI Index Report (April 2026; fielded Data mostly through 2025, some to Mar 2026) found that 88% of surveyed organizations report some form of AI adoption.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category><category>strategy</category></item><item><title>Monitoring AI Adoption in the U.S. Economy (FEDS Notes) (Federal Reserve Board)</title><link>https://aiunite.org/reports/fed-feds-note-monitoring-ai-adoption-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/fed-feds-note-monitoring-ai-adoption-2026/</guid><description>Federal Reserve Board&apos;s Monitoring AI Adoption in the U.S. Economy (FEDS Notes) (April 2026; n=BTOS ~20,000 firms per wave; RPS ~5,000–6,000 people per wave; SBU 1,032 (Nov 2025), fielded Through year-end 2025) found that ~18% of US firms had adopted AI as of year-end 2025 (Census BTOS, firm-weighted).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category></item><item><title>How Might AI Change the Workplace? Evidence from Corporate Executives (Policy Hub: Macroblog) (Federal Reserve Bank of Atlanta)</title><link>https://aiunite.org/reports/atlanta-fed-cfo-survey-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/atlanta-fed-cfo-survey-ai-2026/</guid><description>Federal Reserve Bank of Atlanta&apos;s How Might AI Change the Workplace? Evidence from Corporate Executives (Policy Hub: Macroblog) (March 2026; n=748, fielded Nov 11 – Dec 16, 2025 (main); supplemental Dec 2025 – Jan 2026) found that ~60% of responding firms invested in AI in 2025 (about 80% of large firms).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category><category>roi-value</category></item><item><title>State of Digital Services 2026: An Uneven Return to Form (Promethean Research)</title><link>https://aiunite.org/reports/promethean-sods-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/promethean-sods-2026/</guid><description>Promethean Research&apos;s State of Digital Services 2026: An Uneven Return to Form (March 2026; n=119, fielded February 2026) found that About 1 in 3 digital agencies have implemented AI across their business.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>strategy</category></item><item><title>2026 Professional Services Maturity Benchmark (SPI Research)</title><link>https://aiunite.org/reports/spi-ps-maturity-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/spi-ps-maturity-2026/</guid><description>SPI Research&apos;s 2026 Professional Services Maturity Benchmark (February 2026; n=509, fielded 2025 performance year) found that 66.4% billable utilization in 2025, the lowest in SPI&apos;s 19-year history.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>roi-value</category></item><item><title>The Highest Worker Exposure in the Midwest: The Impact of Generative AI on the Minnesota Job Market (North Star Policy Action &amp; University of St. Thomas)</title><link>https://aiunite.org/reports/stthomas-northstar-genai-mn-jobs-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/stthomas-northstar-genai-mn-jobs-2026/</guid><description>North Star Policy Action &amp; University of St. Thomas&apos;s The Highest Worker Exposure in the Midwest: The Impact of Generative AI on the Minnesota Job Market (February 2026; fielded n/a (modeled)) found that 31.3% of Minnesota workers (800,000+) are in jobs with high exposure to generative AI.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>minnesota</category><category>workforce</category></item><item><title>2025 CAQH Index (CAQH (DataSpring))</title><link>https://aiunite.org/reports/caqh-index-2025/</link><guid isPermaLink="true">https://aiunite.org/reports/caqh-index-2025/</guid><description>CAQH (DataSpring)&apos;s 2025 CAQH Index (February 2026; fielded 2024 transaction year) found that 25% of provider organizations use AI tools in administrative workflows (vs. 50%+ of health plans).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>adoption</category></item><item><title>2026 AI in Professional Services Report (Thomson Reuters Institute)</title><link>https://aiunite.org/reports/tr-ai-ps-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/tr-ai-ps-2026/</guid><description>Thomson Reuters Institute&apos;s 2026 AI in Professional Services Report (February 2026; n=1,514, fielded Oct–Nov 2025) found that 40% of professionals say their organization uses GenAI, up from 22% a year earlier.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>adoption</category><category>roi-value</category></item><item><title>Firm Data on AI (NBER Working Paper 34836) (National Bureau of Economic Research)</title><link>https://aiunite.org/reports/nber-firm-data-on-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/nber-firm-data-on-ai-2026/</guid><description>NBER&apos;s Firm Data on AI (February 2026, revised March 2026; nearly 6,000 executives in the U.S., UK, Germany and Australia, executive survey) found that 69% of firms use AI but more than 90% report no impact on their employment and 89% no impact on productivity over the past three years.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>productivity</category><category>workforce</category><category>adoption</category></item><item><title>Does Generative AI Narrow Education-Based Productivity Gaps? Evidence from a Randomized Experiment (National Bureau of Economic Research)</title><link>https://aiunite.org/reports/nber-genai-education-productivity-gaps-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/nber-genai-education-productivity-gaps-2026/</guid><description>NBER&apos;s Does Generative AI Narrow Education-Based Productivity Gaps? (February 2026; n=1,174 adults, randomized experiment) found that access to a GPT-4.1 assistant closed three-quarters of the performance gap between higher- and lower-education participants on a business task.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>productivity</category><category>workforce</category></item><item><title>2026 RIA &amp; AI Research Study: Advisor AI in Action (Charles Schwab)</title><link>https://aiunite.org/reports/schwab-ria-ai-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/schwab-ria-ai-2026/</guid><description>Charles Schwab&apos;s 2026 RIA &amp; AI Research Study: Advisor AI in Action (January 2026; n=533, fielded Oct 7–26, 2025) found that ~10% of advisors using AI have fully integrated it into their business strategy.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>professional-services</category><category>adoption</category></item><item><title>The State of AI in the Enterprise 2026: The untapped edge (Deloitte)</title><link>https://aiunite.org/reports/deloitte-state-of-ai-enterprise-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/deloitte-state-of-ai-enterprise-2026/</guid><description>Deloitte&apos;s The State of AI in the Enterprise 2026: The untapped edge (January 2026; n=3,235, fielded Aug–Sep 2025) found that 20% are already growing revenue through AI, versus 74% who hope to.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>strategy</category><category>roi-value</category><category>governance-risk</category><category>agents</category></item><item><title>EY-Parthenon CEO Outlook Survey (January 2026) (EY-Parthenon)</title><link>https://aiunite.org/reports/ey-parthenon-ceo-outlook-jan-2026/</link><guid isPermaLink="true">https://aiunite.org/reports/ey-parthenon-ceo-outlook-jan-2026/</guid><description>EY-Parthenon&apos;s EY-Parthenon CEO Outlook Survey (January 2026) (January 2026; n=1,200, fielded Nov–Dec 2025) found that 24% of CEOs expect AI investment to reduce headcount, down from 46% in January 2025.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>strategy</category></item></channel></rss>