Compiled from 35 studies · Current as of July 2026 · Sourced via The Agile Brand Guide Research
Artificial intelligence went from experiment to infrastructure in 2026 — yet the gap between adoption and payoff has never been wider. Below are 156 of the most useful AI and technology statistics for marketers and business leaders, drawn from 35 studies published in 2025 and 2026 and grouped by theme so you can find the number you need fast.
Every statistic links to its source in The Agile Brand Guide Research database, where you can see the full context, the original report, and an embeddable chart. Whether you’re building a board deck, benchmarking your own AI program, or writing a strategy memo, these are the credible, sourceable data points shaping how enterprises actually use AI right now.
Jump to a section AI adoption & investment (37) Agentic AI & autonomous systems (13) AI in marketing, content & personalization (47) AI ROI, business impact & measurement (14) Data readiness & integration (10) AI governance, ethics, risk & security (22) The AI workforce: skills, roles & retention (13)
Key statistics at a glance
- 42% of companies abandoned most of their AI initiatives in 2025, up from 17% in 2024. — The Agile Brand Guide, 2026
- 90% of organizations now use AI, but only 21% have redesigned their workflows around it. — The Agile Brand Guide, 2026
- 16% of AI responses directly cite a brand. — Demand-Genius, 2026
- 100% of surveyed organizations plan to expand their adoption of agentic AI in 2026. — CrewAI, 2026
- 96% of CEOs believe employees are using generative AI tools without official approval — Dataiku, 2026
- $670,000 is the average cost increase of a data breach due to shadow AI usage — Cybernews, 2025
AI adoption & investment (37 stats)
Adoption is near-universal, but spending, integration, and payoff vary widely across enterprises.
- 81% of marketing leaders switch between two or more disconnected AI tools weekly. — Optimizely, 2026
- 76% of marketing leaders spend three or more hours per week correcting or refining AI-generated output. — Optimizely, 2026
- 48% of marketing leaders report AI is fully integrated into their day-to-day operations. — Optimizely, 2026
- 25% of marketing leaders admit to publishing AI-generated content they know is off-brand under deadline pressure (rising to 33% in the US). — Optimizely, 2026
- 92% of enterprises increased AI spending in 2026 — AIMG, 2026
- 87% of global organizations leverage AI in at least one function — AIMG, 2026
- 70% of enterprises adopted Generative AI by 2026 — AIMG, 2026
- 79% of enterprises report no measurable EBIT impact from GenAI — AIMG, 2026
- Only 19% of enterprises are fully data-ready for AI — AIMG, 2026
- 74% of enterprises expect operational disruption if they lose access to an AI vendor — Zapier, 2026
- 47% enterprise leaders foresee disruption to key business functions due to vendor loss — Zapier, 2026
- 66% of leaders who attempted migration reported it required more time, labor, or resources than anticipated — Zapier, 2026
- 42% of organizations maintain contingency plans for vendor service outages — Zapier, 2026
- 46% of leaders cited data migration challenges as a key concern driving vendor lock-in — Zapier, 2026
- Cloud leaders are nearly 2.5 times more likely to deliver revenue growth exceeding 10%. — NTT Data, 2026
- 61% of Chief AI Officers agree that the rise of agentic AI has increased the need for cloud investment. — NTT Data, 2026
- 99% of organizations expect private cloud adoption to increase due to concerns about data sovereignty, ownership, cost, and security. — NTT Data, 2026
- 62% of organizations expect the impact and ROI of agentic AI for cloud-native application modernization to fall short of expectations. — NTT Data, 2026
- 49% of organizations execute Site Reliability Engineering practices entirely through a service provider. — NTT Data, 2026
- 55% of organizations indicate their pricing, quoting, CLM, and billing systems are only partially integrated — Conga, 2026
- 79% of non-CEO respondents find it challenging or very difficult to meet executive expectations for commercial operations — Conga, 2026
- 45% of respondents lost a deal due to slow quote approval in the past six months — Conga, 2026
- 82% of organizations have adopted some level of API-first development — Postman, 2025
- 25% of organizations operate as fully API-first, a 12% increase from the previous year — Postman, 2025
- 65% of organizations now generate revenue from their API programs — Postman, 2025
- 74% derive at least 10% of their total revenue from APIs — Postman, 2025
- 43% of fully API-first organizations generate more than 25% of total revenue from APIs — Postman, 2025
- AI companies collectively pulled in $211 billion in 2025 — HumanX, 2026
- 77% or $163 billion of this funding went into megadeals of $100 million or more — HumanX, 2026
- 40% of the funding was attracted by foundation models like OpenAI and Anthropic — HumanX, 2026
- 60% of global AI funding is concentrated in the San Francisco Bay Area — HumanX, 2026
- 15-20% ROI on AI integration for most large enterprises today — HumanX, 2026
- 96% of CMOs prioritize AI adoption — Contentful, 2025
- 65% of companies are making meaningful investments of $100,000 or more in AI-related marketing tools — Contentful, 2025
- 89% of marketing teams actively implement AI tools today — Contentful, 2025
- 48% of organizations cite security concerns as a barrier to AI deployment — Contentful, 2025
- 58% of European marketers are testing AI tools selectively with a defined plan — Contentful, 2025
Agentic AI & autonomous systems (13 stats)
Agentic AI is scaling fast in 2026, moving from pilots to production workflows.
- Organizations spent approximately $1.5 trillion on AI in 2025. — The Agile Brand Guide, 2026
- Approximately 80% of organizations experimenting with AI have seen no tangible material impact. — The Agile Brand Guide, 2026
- 42% of companies abandoned most of their AI initiatives in 2025, up from 17% in 2024. — The Agile Brand Guide, 2026
- The average sunk cost per abandoned AI initiative was $7.2 million. — The Agile Brand Guide, 2026
- 90% of organizations now use AI, but only 21% have redesigned their workflows around it. — The Agile Brand Guide, 2026
- 31% of organizational workflows are currently automated using agentic AI. — CrewAI, 2026
- 90% of organizations report automating less than half of their workflows. — CrewAI, 2026
- 100% of surveyed organizations plan to expand their adoption of agentic AI in 2026. — CrewAI, 2026
- 52% of respondents cite Information Technology as the business unit benefiting most from agentic AI. — CrewAI, 2026
- 75% report high or very high impact on saving time through agentic AI. — CrewAI, 2026
- $175 billion is the projected market size for Agentic AI in retail and e-commerce by 2030. — Visa, 2026
- 95% accuracy in identifying money mule accounts has been achieved through advanced fraud detection AI. — Visa, 2026
- Retailers expect a 2x to 3x uplift in conversion rates from upsell strategies using agentic AI. — Visa, 2026
AI in marketing, content & personalization (47 stats)
AI is reshaping how marketing teams create content, optimize campaigns, and get discovered in AI answers.
- 87% of creators leveraging creative AI report accelerated business or audience growth — Adobe, 2026
- 75% of creators describe creative AI as integrated into or essential to their daily workflow — Adobe, 2026
- 63% of users feel more confident about their creative work due to AI — Adobe, 2026
- 40% of creators perceive AI-assisted content to perform better consistently — Adobe, 2026
- 85% of creators emphasize that final creative decisions should rest with human creators — Adobe, 2026
- 16% of AI responses directly cite a brand. — Demand-Genius, 2026
- 0% citation rate for brands during early awareness and consideration stages. — Demand-Genius, 2026
- 0.82 average brand recurrence across top-three mentions for leading vendors. — Demand-Genius, 2026
- 0.37 average frame retention ratio indicating early conversational concepts survive into final answers. — Demand-Genius, 2026
- 61% average outcome convergence toward a specific final pick in tested scenarios. — Demand-Genius, 2026
- 93% of marketing leaders expect AI to enable quicker execution. — Typeface, 2026
- 39% of leaders cited insufficient resources to meet content demand in 2026, up from 1% in 2025. — Typeface, 2026
- 92% of marketing leaders state campaigns now involve at least 10 people. — Typeface, 2026
- 86% of leaders report using AI agents in campaign execution. — Typeface, 2026
- Total internet searches in the U.S. grew by 10% from Q1 2024 to Q1 2026, reaching 76 billion. — Comscore, 2026
- AI Overviews appear alongside 46% of all paid search ads for credit card acquisitions. — Comscore, 2026
- Approximately 25% of credit card applicants were exposed to AI Overviews during their decision journey. — Comscore, 2026
- 51% of B2B companies cite technical integration challenges as the top barrier to operations maturity — LXA, 2026
- 47% of B2B companies report manual processes that cannot scale with growth — LXA, 2026
- 39% of B2B organizations use rules-based routing without SLA enforcement — LXA, 2026
- 73% of AI “Power Partners” report exceeding ROI expectations from AI in marketing — CMO Council, 2026
- Only 22% of AI “Emerging Partners” achieve similar ROI results — CMO Council, 2026
- Nearly 70% of AI “Power Partners” effectively build emotional connections with customers compared to 40% of Emerging Partners — CMO Council, 2026
- 70% of AI “Power Partners” are ready to redesign workflows for AI-human collaboration, versus only 7% of Emerging Partners — CMO Council, 2026
- AI “Power Partners” are six times more likely to see a major impact on personalization (60% versus 10%) — CMO Council, 2026
- 66% of marketing leaders report AI having a strong or very strong impact on their teams — Callan Consulting, 2026
- AI-native companies report productivity gains of 100-200%, compared to 20-50% for legacy firms — Callan Consulting, 2026
- Approximately 50% of surveyed leaders have formalized Generative Engine Optimization (GEO) activities — Callan Consulting, 2026
- 4 out of 18 marketing leaders say they currently use agentic AI in marketing — Callan Consulting, 2026
- 98% of enterprise teams report a significant rise in content demand year-over-year — Smartcat, 2026
- 60% of enterprises achieve only task-level efficiency gains from AI — Smartcat, 2026
- 12% of enterprises have unified or fully orchestrated content tech stacks — Smartcat, 2026
- 58% of enterprises lack structured AI training programs — Smartcat, 2026
- 1.6 times more likely to report higher AI ROI outcomes with unified tech stacks — Smartcat, 2026
- 97% of organizations report an impact from AI-driven market trends — Bynder, 2026
- 42% of organizations estimate their content is AI-touched — Bynder, 2026
- 93% of businesses encounter content challenges that current rule-based automation cannot resolve — Bynder, 2026
- 62% of companies have moved beyond early research stages in AI adoption — Bynder, 2026
- 98% of companies report measurable impact from AI in their content operations over the past 12 months — Bynder, 2026
- Wyoming has 16.9 searches per 100,000 residents, 223.71% higher than the national average of 5.23. — VWO, 2025
- Ohio reported the lowest interest at 2.09 searches per 100,000 residents. — VWO, 2025
- Smaller states demonstrate a disproportionately high interest in AI marketing tools compared to larger states. — VWO, 2025
- 42% of companies now routinely apply AI in their marketing operations — Coupler.io, 2025
- 16% extend AI’s use directly into marketing strategy — Coupler.io, 2025
- 39% of marketers report AI enhances campaign optimization — Coupler.io, 2025
- 25% of respondents identified analytics as their top area for AI implementation — Coupler.io, 2025
- 35% of respondents indicate AI improves predictive analytics and forecasting — Coupler.io, 2025
AI ROI, business impact & measurement (14 stats)
Efficiency gains are real, but proving return on AI investment remains a persistent challenge.
- 90% of organizations increased AI investment in the past two years — Comviva, 2026
- Only 12% of marketing leaders can rigorously measure the revenue AI generates — Comviva, 2026
- 86% of marketing leaders have been asked to justify AI spending by their board or C-suite in the last 12 months — Comviva, 2026
- 62% of marketing leaders struggle with cost fragmentation in AI investments — Comviva, 2026
- 57% of marketing leaders cannot connect AI-driven customer satisfaction changes to revenue impact — Comviva, 2026
- 58% of organizations identify predictable outcomes as the primary benefit of agentic AI — Pega, 2026
- 70% prioritize end-to-end automation of complex, multi-system processes — Pega, 2026
- 96% of successful organizations rethought processes before deploying AI — Pega, 2026
- 80% of successful organizations cite strong business and IT alignment as critical — Pega, 2026
- 21% of organizations use AI to empower data analytics and management — Coupler.io, 2025
- 19% utilize AI for understanding customers and markets — Coupler.io, 2025
- 17% apply AI for predictive capabilities and forecasting — Coupler.io, 2025
- 22% of AI implementation focuses on customer service — Coupler.io, 2025
- 27% of organizations face challenges due to blind adoption of AI without clear goals — Coupler.io, 2025
Data readiness & integration (10 stats)
Most AI failures trace back to data — readiness, quality, and access remain the bottleneck.
- 79% of data-backed initiatives are hindered due to lack of access to 100% of necessary data — Cloudera, 2026
- 85% of IT leaders believe their data strategy is clearly defined — Cloudera, 2026
- 44% of organizations lack visibility into data location — Cloudera, 2026
- 22% of respondents cite data quality issues as a primary reason for AI initiative failures — Cloudera, 2026
- 63% of respondents identify CIOs and CTOs as accountable for data readiness — Cloudera, 2026
- 54.5% of surveyed organizations have already released AI features — Applause, 2026
- 44.1% of organizations deactivated live AI features in the past year — Applause, 2026
- 33.5% of projects fail due to integration challenges — Applause, 2026
- 30.8% of projects fail due to cost overruns — Applause, 2026
- 60.8% of AI evaluations rely on human input — Applause, 2026
AI governance, ethics, risk & security (22 stats)
Shadow AI, weak policies, and rising public concern are outpacing enterprise governance.
- 29% of US executives report high confidence that AI risk is under control, compared with 7% of frontline IT practitioners. — Heimdal, 2026
- In the UK, 18% of executives and 11% of practitioners report high confidence that AI risk is under control. — Heimdal, 2026
- ChatGPT is present in 7 out of 10 IT estates and Microsoft Copilot is present in 6 to 7 out of 10 IT estates. — Heimdal, 2026
- Only approximately 4 out of 10 teams believe their existing security stack is adequately prepared to manage AI-driven risks. — Heimdal, 2026
- 80% of CEOs believe their role will be at risk if their company fails to deliver measurable business gains from AI by the end of 2026 — Dataiku, 2026
- 87% of CEOs would stake their job on delivering tangible results from their AI programs — Dataiku, 2026
- 62% of CEOs report that their board is actively applying pressure to deliver measurable AI-driven outcomes — Dataiku, 2026
- 57% of CEOs express concern that insufficient AI explainability could trigger a crisis that erodes customer trust — Dataiku, 2026
- 96% of CEOs believe employees are using generative AI tools without official approval — Dataiku, 2026
- 32% of users engage with AI daily — Shift, 2026
- 53% report an improved digital experience due to AI — Shift, 2026
- 44% of consumers are concerned about AI taking unauthorized actions — Shift, 2026
- 51% of hybrid workers desire tailored AI experiences compared to 36% of the general population — Shift, 2026
- 79% support government regulation for AI — Shift, 2026
- Control & Regulation concerns increased by 256% between May 25 and June 22, 2025. — Nexos.ai, 2025
- Data & Privacy concerns surged by 325% during the same period. — Nexos.ai, 2025
- Job Displacement & Workforce Impact interest surged by 233% week-over-week in October 2025. — Nexos.ai, 2025
- 59% of employees use unapproved AI tools at work — Cybernews, 2025
- 75% of those using unapproved tools share potentially sensitive information — Cybernews, 2025
- 93% of executives and senior managers report using unapproved AI tools — Cybernews, 2025
- 23% of employers currently lack any formal policy on AI tool usage — Cybernews, 2025
- $670,000 is the average cost increase of a data breach due to shadow AI usage — Cybernews, 2025
The AI workforce: skills, roles & retention (13 stats)
AI is changing what work looks like — creating new roles while widening the skills gap.
- 75% of workers report that AI has increased their confidence at work — University of Phoenix, 2026
- 62% of employers concede that employees are developing AI skills faster than their organizations are adapting — University of Phoenix, 2026
- 50% of workers feel more capable of pivoting into new roles because of AI capabilities — University of Phoenix, 2026
- 60% of workers desire more guidance in learning AI tools — University of Phoenix, 2026
- 73% of employers agree that clearer standards for AI skills and career pathways are needed — University of Phoenix, 2026
- 77% of HR leaders now use AI weekly or daily — HireVue, 2026
- 85% of HR departments either currently use or plan to implement generative AI this year — HireVue, 2026
- 71% of candidates use AI to write resumes, a 15% increase from 2025 — HireVue, 2026
- 20% below pre-pandemic levels overall hiring remains. — LinkedIn, 2026
- Over 1.3 million new AI-driven jobs have emerged globally. — LinkedIn, 2026
- Jobs requiring AI literacy skills grew 70% year-over-year in the U.S. — LinkedIn, 2026
- 60% of new jobs by 2030 will emerge from occupations that do not typically require a degree. — LinkedIn, 2026
- 52% of workers globally plan to job hunt in 2026. — LinkedIn, 2026
Frequently asked questions
How many companies are using AI in 2026?
AI adoption is now near-universal among enterprises: 87% of global organizations use AI in at least one function and roughly 90% now use AI in some form. The catch is integration — only about 21% have redesigned their workflows around it, and just 48% of marketing leaders say AI is fully embedded in day-to-day operations.
What percentage of AI projects fail?
Failure rates climbed sharply in 2025. 42% of companies abandoned most of their AI initiatives, up from 17% in 2024, and about 80% of organizations experimenting with AI report no tangible material impact. 79% of enterprises say generative AI has produced no measurable EBIT impact, with an average sunk cost of $7.2 million per abandoned initiative.
Are companies actually seeing ROI from AI?
Returns are real but uneven. Most large enterprises report 15–20% ROI on AI integration, while AI-native companies cite productivity gains of 100–200% versus 20–50% for legacy firms. The bigger problem is measurement: only 12% of marketing leaders can rigorously quantify the revenue AI generates, even as 86% have been asked to justify AI spend to their board.
How widespread is agentic AI adoption in 2026?
Agentic AI is scaling quickly. About 31% of organizational workflows are already automated with agentic AI, 100% of surveyed organizations plan to expand agentic AI adoption in 2026, and the agentic AI market in retail and e-commerce is projected to reach $175 billion by 2030.
What are the biggest AI risks for businesses right now?
Shadow AI tops the list. 59% of employees use unapproved AI tools at work, 96% of CEOs believe staff are using generative AI without approval, and 75% of those using unapproved tools share potentially sensitive data — pushing the average shadow-AI-related breach cost up by about $670,000. Only around 40% of security teams feel prepared for AI-driven risks.
Go deeper with the research
Every statistic here comes from The Agile Brand Guide Research database — a curated library of corporate-funded research on AI, marketing, customer experience, and consumer behavior, each study summarized with quotable statistics, key takeaways, and embeddable charts.Explore the AI & Technology research →
About this data: These 156 statistics were compiled from 35 research reports published in 2025–2026 and indexed in The Agile Brand Guide Research database. Each figure links to its source summary and original report. Counts are current as of July 2026 and are refreshed as new research is added.
