Looking for the latest branding statistics?

Below are the numbers that matter.

Top Branding Statistics (Editor’s Picks)

Here are the most insightful branding statistics we think you should know:

1. Consistent branding can improve revenue by 10–20%. (Marq)
2. Some 88% of consumers must trust a brand before buying or using it. (Edelman)
3. Color increases brand recognition by up to 80% compared to monochrome. (ACM)
4. Design shapes 94% of a brand’s first impression. (ACM)
5. 71% of consumers say it’s very or somewhat important that they recognize a brand before making a purchase. (OnBuy)
6. 87% of shoppers are willing to pay more for products from brands they trust. (Salsify)
7. Consumers form an opinion about a brand’s visual appeal in just 0.05 seconds. (Taylor & Francis)
8. 96% of consumers say brand transparency is important for earning their loyalty. (Clutch)
9. 70% of consumers feel more connected to brands whose CEOs are active on social media. (Sprout Social)
10. 84% of consumers say a brand’s video convinced them to make a purchase. (Bazaarvoice)

Brand Value and Financial Impact

• Apple is the world’s most valuable brand, with a brand value of $470.9B. (Interbrand)

• The top 100 global brands were worth a combined $3.6T in 2025, up 4.4% from 2024. (Interbrand)
• NVIDIA posted the largest brand value jump on record, rising 116% to reach $43.2B in 2025. (Interbrand)
• A 1% increase in brand strength and clarity is associated with an average 2.3% rise in share price. (Interbrand)
• 68% of loyal customers say they’d stay with their preferred brands even if prices went up. (UserTesting)
• Consumers are willing to pay about 25% more to stay with brands they trust. (UserTesting)

Consumer Perception and Trust

• 65% of consumers in the US trust domestic brands, compared with 42% who trust foreign brands. (Edelman)

• 82% of shoppers prefer brands whose values align with their own. (Google)
• 64% of people buy, support, or avoid brands based on their views of social issues. (Edelman)
• 73% of consumers say brands that genuinely reflect today’s culture are more likely to earn their trust. (Edelman)
• 53% of people assume a brand is inactive or hiding something if it doesn’t speak about its actions on social issues. (Edelman)
• 76% of consumers say that over the past five years, it’s become more important for brands to give them optimism. (Edelman)

• 70% of consumers say their own experience shapes how they view a brand. (Edelman)
• 45% of shoppers have abandoned an online purchase due to a lack of brand trust. (Salsify)
• 69% of shoppers say a brand’s reputation drives their trust. (Salsify)
• High product quality and good value lead 69% of shoppers to trust a brand. (Salsify)
• 68% of consumers say it’s very or extremely important for brands to make them feel good. (Edelman)

• Approximately 98% of consumers purchase from the same brand at least once a year. (Clutch)
• 77% of consumers prefer to purchase from brands they already know. (Clutch)
• 62% of consumers believe brands focus more on image than on delivering real value. (Clutch)
• 63% of consumers are willing to forgive a brand after a public controversy if it responds well. (Clutch)
• 60% of consumers are more likely to buy from brands that help protect clean air and water in their local communities. (Edelman)

• 81% of consumers can name at least one brand they feel loyal to. (UserTesting)
• 71% of Americans are more likely to buy from brands associated with their childhood memories. (UserTesting)
• 70% of consumers say they’ll abandon a brand after just two negative experiences. (Emplifi)
• 88% of consumers say they must trust a brand before buying or using it. (Edelman)

Marketing and Brand-Building Drivers

• Pepsi spent about $1M on its logo redesign in 2008. (Business Insider)
• Stella Artois has the world’s oldest known brand logo, first introduced in 1366. (TIME)
• Hyundai is the most commonly misspelled brand name worldwide, followed by Lamborghini and Ferrari. (Statista)
• Consistent branding can improve revenue by 10–20%. (Marq)

• Nearly half of consumers say they’ll stop buying from a brand if its marketing feels inauthentic. (Clutch)
• 16% of consumers say a brand’s color scheme is the first thing they notice. (Adobe)

• One in two consumers (50%) say color alone has swayed their brand choice. (Adobe)
• Blue is the top color for brand trust at 54% and is also the most likely to drive impulse purchases. (Adobe)

• One in three consumers (33%) say they are more likely to stay loyal to brands that use consistent colors. (Adobe)
• 18% of consumers say they feel disconnected from a brand when its color scheme changes. (Adobe)
• 46% of consumers say a brand’s color scheme influences their purchasing decisions. (Adobe)

Digital and Social Influence

57% of shoppers discover new products and brands through online marketplaces, making them the leading discovery channel. (Salsify)

• 77% of consumers say they are more likely to shop with brands they follow on social media. (Sprout Social)
• 73% of social users say they’ll switch to a competitor if a brand doesn’t respond on social media. (Sprout Social)
• 64% of social users are more willing to buy from brands that partner with influencers they like. (Sprout Social)
• In 2025, 39% of consumers made a purchase based on an influencer recommendation within the past year. (Salsify)
• 61% of consumers say they’d publicly share a negative brand experience on social media or in a review. (Clutch)
• 64% of consumers say deals are the main reason they follow brands on social media. (Emplifi)

• Discounts (60%) and shopping intent (51%) are the top reasons consumers complete purchases on social media, far ahead of visual appeal (35%), relatability (28%), humor (25%), and topicality (21%). (Emplifi)
• Nearly 60% of Americans say it’s important for brands to respond to customers on social media. (Emplifi)
• 32% of consumers expect a brand response within one hour when using direct messages. (Emplifi)

Related Articles

Looking for more insights? Check out these additional resources:

• AI Statistics
• Video Conferencing Statistics

Curious about the state of video communication in 2026?

You’re in the right place.

Below is a curated and verified list of the most up-to-date video conferencing statistics, exploring how platforms like Zoom and Teams shape modern collaboration, productivity, and workplace culture.

Top Video Conferencing Statistics (Editor’s Picks)

Here are the most insightful video conferencing statistics we think you should know:

• Zoom has over 300 million daily active participants. (Statista)
• Zoom leads the video conferencing market with a 55.9% share. (Statista)
• The global video conferencing market was valued at $11.65 billion in 2024 and is expected to reach $24.46 billion by 2033, growing at a CAGR of 8.2%. (Grand View Research)

• The average employee spends 11.3 hours per week in meetings. Large companies (1,000+ workers) average 12.8 hours, while smaller ones average 10. (Fellow)
• Zoom Communications reported $4.75 billion in revenue for the 12 months ending July 2025, a 3.63% year-over-year increase. (Macrotrends)
• As of early 2025, Zoom employed 7,412 people, down 0.11% from the prior year. (Macrotrends)
• The ideal meeting size is between five and eight participants. (HBR)
• Cisco WebEx holds 0.57% of the online meeting market. (6sense)
• Videotelephony was conceived in the late 19th century and demonstrated publicly in the 1930s. (Wikipedia)

Market Overview

• Leading platforms (Zoom, Microsoft Teams, Cisco Webex, and Google Meet) collectively control over 60% of the global video conferencing market. (Archive Market Research)
• G Suite dominates the web and video conferencing software market with a 92.82% share, serving about 5.4 million customers. (6sense)
• Zoom ranks second with 3.39% of the market, used by nearly 198,000 organizations. (6sense)
• Zoom earned roughly $637 million in net income for the fiscal year 2024. (Statista)
• In Q3 2025, Zoom’s mobile app saw 20.26 million downloads in Asia-Pacific and over nine million in North and Latin America. (Statista)
• The software segment in the video conferencing market is expected to grow fastest through 2033, with a CAGR above 9%, driven by AI transcription and meeting analytics tools. (Grand View Research)
• The hardware segment in the video conferencing market led in 2024, accounting for 46% of total revenue. (Grand View Research)
• North America dominated the video conferencing market regionally, accounting for over 38% of global revenue in 2024, driven by demand for cloud-based and AI-powered collaboration. (Grand View Research)
• The US represented more than 83% of North America’s video conferencing market in 2024, boosted by 5G adoption and improved call reliability. (Grand View Research)
• Europe held more than 25% of the market in 2024, reflecting the rise of hybrid work and virtual collaboration tools. (Grand View Research)
• The top industries using video conferencing include marketing (34,118 companies), education (24,872), and digital marketing (22,765). (6sense)

Usage and Adoption

• Microsoft Teams had over 250 million monthly active users in 2023, reflecting its rapid rise in workplace collaboration. (Research and Markets)
• More than 3.24 million companies worldwide use at least one video conferencing platform as of 2025. (6sense)
• The US accounts for 2.79 million users (60.3%) of all video conferencing software, followed by the UK (8.1%) and Canada (5.8%). (6sense)
• 58% of organizations use video conferencing tools daily to maintain operations. (Market.us)
• Cutting three meetings per employee per week could reduce company costs by 15%. (Flowtrace)

• Remote employees attend 50% more meetings than their in-office peers. (Flowtrace)
• 52% of fully remote leaders spend three or more hours daily in virtual meetings. (Zoom)
• 46% of leaders believe they spend too much time in meetings. (Zoom)
• If a meeting were canceled, 57% of leaders say they would use that time more productively. (Zoom)
• 80% of employees believe most meetings could be completed in half the scheduled time. (Atlassian)
• The average worker spends 392 hours per year in meetings (over 16 full workdays). (Flowtrace)
• Organizations dedicate about 15% of their collective time to meetings. (Flowtrace)
• Two hours of meetings per day (roughly 25% of the week) is the limit most workers can tolerate. (Financial Post)
• The typical meeting lasts 30 minutes, accounting for 45% of all sessions. (Flowtrace)

• Half of all meetings start 75 seconds late on average. (Flowtrace)
• 59% of enterprise employees attend five or more hours of meetings weekly—almost double SMB employees (32%). (Calendly)
• Most employees spend three or more hours weekly in meetings, and 46% attend at least three per day. (Calendly)
• 41% of workers spend at least three hours weekly just scheduling meetings. (Calendly)
• 53% of UK professionals say virtual meetings regularly interrupt their workday. (Robert Walters)
• One in three UK professionals attends up to four virtual meetings daily. (Robert Walters)
• With average calls lasting 30 minutes, virtual meetings consume 2–2.5 hours of the typical UK workday. (Robert Walters)
• 85% of UK workers spend three or more hours weekly in meetings, compared to 78% of US workers. (Calendly)
• US employees spend about 20% of their week in meetings, while senior leaders spend 35%. (Fellow)
• Canadian executives spend the most time in meetings—36% of their week—while US, European, and UK leaders spend at least 30%. (Fellow)
• In companies with over 200 employees, contributors spend 20% of their time in meetings, managers 25%, and executives 40% or more. (Fellow)
• When a company scales from under 10 to over 1,000 employees, individual contributors’ meeting load rises by only 4%. (Fellow)
• Between 50% and 60% of all meetings are internal. (Fellow)
• Senior leaders schedule about 60% of all meetings. (Fellow)
• 76% of customer experience (CX) professionals say at least 41% of their meetings are internal, followed by 73% in HR. (Calendly)
• Sales and customer success staff spend about 10% of their week (four hours) in one-on-one meetings. (Fellow)
• HR professionals spend about 10% of their week in one-on-one meetings. (Fellow)
• Medium-sized companies (200–999 employees) host the most meetings over 30 minutes. (Fellow)
• The largest companies schedule the most meetings lasting one hour or longer. (Fellow)
• Product managers are most likely to schedule last-minute meetings—40% occur with less than 24 hours’ notice. (Fellow)
• Recurring meetings (52%) start later than one-off meetings (48%). (Flowtrace)
• One-off video calls run five minutes longer on average than recurring ones. (Flowtrace)
• 5% of video calls last under five minutes, while 10% exceed one hour. (Flowtrace)
• Australia stands out, with no employees spending more than 30% of their week in meetings. (Fellow)
• Only 28% of small companies (under 250 employees) use video conferencing regularly. (Market.us)
• 35% of meetings are scheduled with less than 24 hours’ notice, and 90% of one-offs are within 10 days. (Flowtrace)

Technology and Innovation

• By 2026, over 70% of remote teams are expected to use AI-powered collaboration tools to automate communication and workflows. (IJRPR)
• 60% of large enterprises plan to implement VR-based remote work environments, including virtual offices for immersive meetings, by 2030. (IJRPR)
• AI usage in meetings increased 17x between January and August 2024. (Fellow)
• Small companies are adopting AI meeting tools faster than large ones, with usage growing 19x versus 13x. (Fellow)
• Only about 15% of conference rooms are equipped for video conferencing, and most setups still lack adequate cameras or audio for inclusive hybrid meetings. (Cisco)

Benefits

• Using video conferencing tools can improve corporate communication efficiency by 50%. (Market.us)
• 90% of users say video calls help them communicate their ideas more clearly. (Market.us)
• 79% agree that having an agenda makes meetings more productive. (Atlassian)

• 68% say meetings are essential for advancing team projects. (Calendly)

Challenges

• Eight in 10 employees say they’d get more done if they spent less time in meetings. (Atlassian)
• Poorly organized meetings cost companies over $399 billion annually. (Market.us)
• US companies lose about $37 billion each year to unproductive meetings. (Flowtrace)
• Meeting inefficiencies cost employers over $29,000 per employee annually, including prep and follow-up. (Flowtrace)
• Unnecessary meetings cost large enterprises up to $100 million annually, with daily US losses of around $25 million. (Flowtrace)
• Employees lose roughly 31 hours each month to unproductive meetings. (Flowtrace)
• Rescheduling internal meetings costs companies more than $5,000 per employee annually. (Flowtrace)
• 78% of workers say they are expected to attend too many meetings. (Fellow)
• 45% of employees feel overwhelmed by the volume of meetings. (Flowtrace)
• 52% of employees lose focus within the first 30 minutes of a meeting. (Flowtrace)
• 71% of senior managers believe most meetings are unproductive or inefficient. (Fellow)
• Between 67% and 71% of meetings are considered unproductive or failures by staff and executives. (Flowtrace)
• 78% of people struggle to complete their core work due to excessive meetings. (Atlassian)
• 51% of employees work overtime each week to make up for time lost in meetings. (Atlassian)
• 76% of employees feel drained on days filled with meetings. (Atlassian)

• Only 37% of meetings use agendas, and only 37% lead to decisions. (Flowtrace)
• 54% of workers leave meetings unclear about next steps or responsibilities. (Atlassian)
• 77% of workers say many meetings end only with a decision to schedule another. (Atlassian)
• 75% of workers say meetings are poor for brainstorming or decision-making. (Atlassian)
• 70% find meetings ineffective for status updates. (Atlassian)
• 67% say meetings fail to move projects forward. (Atlassian)
• 72% find meetings ineffective for clarifying goals. (Atlassian)
• 62% often attend meetings without a clear goal in the invite. (Atlassian)
• 43% of employees say a few voices can dominate discussions in meetings, limiting participation. (Atlassian)
• 65% of managers say meetings prevent them from completing their own work. (Fellow)
• Over half of workers must work overtime to compensate for meeting time, rising to 67% for directors and above. (Fellow)
• 60% of HR professionals say meetings negatively affect work-life balance. (Calendly)
• 82% of leaders and 72% of employees say they lack time between meetings to complete tasks. (Zoom)
• 83% of leaders and 77% of employees say scheduling conflicts make collaboration difficult. (Zoom)
• 73% of UK professionals say virtual meetings interrupt their day and reduce productivity. (Robert Walters)
• Only 5% of UK professionals prefer virtual meetings when focusing on deep work. (Robert Walters)
• 67% of UK professionals prefer in-person meetings for key business decisions, while 31% choose video calls. (Robert Walters)
• Meetings with eight or more attendees are most likely to be inefficient. (Fellow)
• Only half of the total meeting time is considered effective and engaging. (Fellow)
• Older workers are less likely to support more meetings—37% of Boomers say they already have enough, compared to 16% of Millennials. (Calendly)
• 56% of UK workers say meeting productivity depends entirely on the specific meeting. (Robert Walters)
• 13% of UK professionals consider virtual meetings not productive at all. (Robert Walters)
• 54% of employees say meetings dictate their day, leaving little time for actual work. (Atlassian)
• Meetings are ineffective 72% of the time overall. (Atlassian)

Behavior and Culture

• 92% of workers multitask during virtual meetings, and 73% admit to doing other work during meetings. (Flowtrace)
• 52% of employees multitask often (34%) or always (18%) during virtual meetings, while only 2% say they never do. (Calendly)
• 70% of Gen Z workers say they frequently multitask in virtual meetings, compared to 34% of Baby Boomers. (Calendly)
• One in eight professionals (12%) admit to attending virtual meetings while using the toilet. (YouGov)
• Millennials are most likely to use AI tools for notetaking (32%), followed by Gen Z (28%), Gen X (22%), and Baby Boomers (18%). (Calendly)
• 68% of Gen Z employees maintain regular calendar boundaries, followed by 53% of Millennials and 48% of Gen X and Baby Boomers. (Calendly)
• 75% of fully remote workers feel comfortable declining meetings that overlap with others, compared to 69% in hybrid roles and 63% in onsite roles. (Calendly)
• 65% of Baby Boomers believe it’s appropriate to intervene when meetings go off-topic, compared to 55% of Gen X and 44% of Gen Z and Millennials. (Calendly)
• 56% of Baby Boomers find sitting outdoors during virtual meetings unacceptable, compared to 44% of Gen Z, 41% of Millennials, and 47% of Gen X employees. (Calendly)

Related Articles

Looking for more insights? Check out these additional resources:

• AI Statistics
• Branding Statistics

Curious about the state of artificial intelligence (AI) in 2026?

You’re in the right place.

Below is a curated and verified list of the most up-to-date AI statistics, organized for easy reference.

Top AI Statistics (Editor’s Picks)

Here are the most insightful AI statistics we think you should know:

• Open-weight models nearly matched closed-weight ones, shrinking the Chatbot Arena gap from 8.04% in early 2024 to 1.7% by February 2025. (Stanford HAI)
• In 2024, 78% of organizations used AI, up from 55% a year earlier. (Stanford HAI)
• In 2024, U.S. private AI investment hit $109.1 billion, almost 12 times China’s $9.3 billion and 24 times the U.K.’s $4.5 billion. (Stanford HAI)
• In 2024, generative AI drew $33.9 billion in global private investment, up 18.7% from 2023. (Stanford HAI)
• The July 2024 survey found that 78% of organizations use AI in at least one function, up from 72% in early 2024 and 55% a year before. (McKinsey)
• Accenture estimates AI could add $461 billion in value to global healthcare by 2035, boosting an industry set to exceed $2.26 trillion. (Nasdaq)

• 83% of executives see AI as a strategic priority for their businesses. (Cisco)
• The global AI market was valued at $390.9 billion in 2025 and is expected to grow to $3.5 trillion by 2033, with a 31.5% CAGR. (Grand View Research)
• 87% of global organizations believe AI will give them a competitive edge. (BCG)
• Netflix’s recommendation system is worth $1 billion in annual revenue. (Business Insider)

Market Size & Investment

• By 2030, AI could add up to $13 trillion to the global economy. (ResearchGate)

• In 2025, the U.S. led the global AI market with an estimated size of $46.99 billion. (Statista)
• The global generative AI market reached $37.87 billion in 2024, up $32.36 billion since 2020, and is projected to grow by another $404.2 billion by 2031. (Statista)
• By 2027, AI-related hardware and software could reach almost $1 trillion, with growth of 40% to 55%. (Bain & Company)
• In 2024, global corporate AI investment reached $252.3 billion, up 44.5% in private funding and 12.1% in M&A since 2023—over 13 times higher than in 2014. (Stanford HAI)
• AI patents rose from 3,833 in 2010 to 122,511 in 2023, up 29.6% in the past year, with China holding 69.7% of all patents. (Stanford HAI)
• The AI products and services market is projected to reach $780–990 billion by 2027. (Bain & Company)
• The global machine learning market reached $77.13 billion in 2024, up $27.61 billion since 2020, and is expected to grow by $491.19 billion by 2031. (Statista)
• The global NLP market reached $39.79 billion in 2024, up $26.41 billion since 2020, and is projected to grow by $161.7 billion by 2031. (Statista)
• The global AI robotics market surpassed $17 billion in 2024, up nearly 30% from 2023, and is projected to reach almost $100 billion by 2031 with about 20% annual growth. (Statista)
• In 2024, AI startups made up 44% of new unicorns, up from just 6% in 2015. (Statista)
• In 2025, NVIDIA is the most valuable AI company at $4.446 trillion, followed by Microsoft at $3.367 trillion and Apple at $3.333 trillion. (CompaniesMarketcap)

Models, Performance & Efficiency

• In 2024, U.S. institutions produced 40 major AI models, far outpacing China’s 15 and Europe’s three combined. (Stanford HAI)
• AI training efficiency surged in 2024, with GPT-3.5-level model query costs on MMLU plunging from $20 to $0.07 per million tokens, a 280-fold drop. (Stanford HAI)
• By the end of 2024, leading U.S. and Chinese models were nearly tied, with gaps of only 0.3 points on MMLU and 3.7 on HumanEval. (Stanford HAI)
• Between 2022 and 2024, the smallest model scoring over 60% on MMLU shrank 142×, from PaLM’s 540B parameters to Microsoft’s 3.8B Phi-3-mini. (Stanford HAI)
• OpenAI’s o1 model set a new MedQA record in 2024 with a 96% score, up 5.8 points from 2023 and 28.4 points since 2022. (Stanford HAI)

Infrastructure & Environment

• Training compute for major AI models doubles about every five months, datasets every eight, and power needs keep rising yearly. (Stanford HAI)
• Training emissions hit 8,930 tons for Llama 3.1 405B in 2024, surpassing GPT-4’s 5,184 tons and GPT-3’s 588. (Stanford HAI)
• AI workloads are expected to grow 25–35% annually through 2027. (Bain & Company)

• Data-center electricity demand is projected to rise 16% by 2030, increasing water-cooling requirements. (Investopedia)
• Researchers estimate ChatGPT’s training consumed about 185,000 gallons of water—around 6% of local peak supply—while a user session of 10–50 prompts uses roughly half a liter. (Investopedia)
• Goldman Sachs projects data-center power capacity to rise 165% by 2030, worsening AI’s energy, heat, and water strain. (Investopedia)
• Data centers in Phoenix, Arizona, can require more than 170 million gallons of cooling water per day, intensifying the region’s water scarcity. (Investopedia)
• By 2027, global AI demand could consume 1.1–1.7 trillion gallons of freshwater a year—about the same as all California households—and is growing faster than any sector except agriculture. (Investopedia)

Policy, Governance & Safety

• Medical AI ethics publications nearly quadrupled, rising from 288 in 2020 to 1,031 in 2024. (Stanford HAI)
• AI-related legislation at the U.S. state level jumped from one law in 2016 to 49 in 2023 and 131 in 2024. (Stanford HAI)
• In 2024, AI was mentioned 1,889 times in legislation across 75 countries, up 21.3% from 2023 and nine times more than in 2016. (Stanford HAI)
• In 2024, the U.S. issued 59 AI-related regulations—over twice 2023’s 25—through 42 agencies, double the previous year’s 21. (Stanford HAI)
• By 2024, 24 U.S. states had passed deepfake laws, up from just five with such election laws before 2024. (Stanford HAI)
• Global confidence in AI companies’ data protection fell from 50% in 2023 to 47% in 2024. (Stanford HAI)
• 28% of AI-using organizations report CEO oversight of AI governance, and 17% say it’s managed by their board of directors. (McKinsey)
• Among gen AI users, 27% say employees review all outputs before use, while a similar share reviews 20% or less. (McKinsey)
• Nearly half (47%) of organizations reported negative outcomes from gen AI use, slightly higher than 44% earlier in 2024. (McKinsey)
• Consumer trust in companies’ AI data practices rose four points to 33%, while trust in AI tools grew to 43%, up from 40% in 2024. (Attest)
• 68% of Gen AI users trust the information they receive, and about 14% say they trust it completely. (Attest)
• Support for AI laws is highest among consumers aged 50+, with 85% favoring data-collection limits and 89% backing mandatory labeling of AI-generated content, compared to 74% and 77% among ages 18–30. (Attest)
• 43% of consumers are concerned about AI-related privacy and security risks. (Attest)

• Over half of U.S. adults (55%) want more control over how AI affects their lives. (Pew Research Center)
• AI misinformation is a major concern for 66% of adults and 70% of AI experts. (Pew Research Center)
• Bias in AI decisions concerns 55% of both AI experts and the public. (Pew Research Center)
• Around 60% of U.S. adults and 56% of AI experts worry the government won’t regulate AI enough, rather than overregulate it. (Pew Research Center)
• 64% of Democrats and 55% of Republicans say they’re more worried about too little AI regulation. (Pew Research Center)
• 62% of the public and 53% of AI experts say they have little or no confidence in the government’s ability to regulate AI effectively. (Pew Research Center)
• 59% of the public and 55% of AI experts have little or no confidence in U.S. companies to develop or use AI responsibly. (Pew Research Center)
• Among academic experts, 60% doubt companies use AI responsibly, compared with 39% of those in private industry. (Pew Research Center)
• 54% of people say they’re cautious about trusting AI systems. (KPMG)
• 70% of people say AI regulation is necessary. (KPMG)
• Just 43% of people worldwide think current laws are sufficient to ensure AI safety. (KPMG)
• Most people favor international AI laws (76%), joint industry–government regulation (71%), and national oversight (69%). (KPMG)
• A strong majority (87%) want legal measures and fact-checking to address misinformation from AI. (KPMG)
• 79% of people worry about AI risks, and 43% have seen or experienced negative effects. (KPMG)
• Only 17% say AI regulation isn’t needed, while 13% remain unsure. (KPMG)
• 83% of people say they’re unaware of any AI laws or regulations in their country. (KPMG)
• 83% of people say they’d trust AI more if assurance measures like human oversight and accountability were in place. (KPMG)
• Only 41% of employees say their organization has a policy on using generative AI at work. (KPMG)
• Nearly half of employees (49%) using AI admit to entering sensitive or copyrighted company data into public tools. (KPMG)

• 57% of employees admit to using AI non-transparently, including passing off AI-generated work as their own or hiding its use. (KPMG)
• 56% of employees say they’ve made mistakes at work because of AI use. (KPMG)
• 66% of employees say they rely on AI output at work without questioning its accuracy. (KPMG)
• 59% of students say they’ve used AI in ways that violate their school’s policies. (KPMG)
• Only 31% of students say their school has a policy for responsible generative AI use. (KPMG)
• The share of people worried about AI climbed from 49% in 2022 to 62% in 2024. (KPMG)
• 80% of students say their school’s AI integrity policy is clear, and 76% think AI use in assessments would be detected. (HEPI)
• Globally, 55% of people see AI as more beneficial than harmful, up from 52% in 2022. (Stanford HAI)
• 41% of teens recognize both the benefits and risks of generative AI, expecting it to have mixed effects on their lives over the next decade. (Harvard Graduate School of Education)
• 28% of LGBTQ+ teens say generative AI will have a mostly negative impact on their lives, compared with 17% of cisgender or straight youth. (Harvard Graduate School of Education)
• 76% of AI experts believe AI will benefit them personally, while 15% expect it to cause harm. (Pew Research Center)
• 38% of Americans feel more concerned than excited about AI’s growing role, 15% are more excited, and 46% feel both equally. (Pew Research Center)
• 65% of employees under 35 admit to careless or inappropriate AI use at work. (KPMG)
• In 2024, 84% of businesses viewed AI positively in their work, while 36% of government organizations reported negative perceptions. (Statista)

Adoption & Usage

• From September 2024 to September 2025, ChatGPT held 81.12% of the market, followed by Perplexity at 10.85% and Microsoft Copilot at 4.04%. (Statcounter)
• Sam Altman reported that a million users joined ChatGPT within an hour of launching its image-generation feature. (Fortune)

• ChatGPT’s weekly active users grew eightfold from October 2023 to April 2025, surpassing 800 million. (Semrush)
• OpenAI’s generative AI tools reached 100 million users in just two months. (KPMG)
• As of late 2024, about 40% of Americans ages 18 to 64 reported using generative AI. (NBER)
• 79% say people in the U.S. interact with AI several times a day or almost constantly. (Pew Research Center)
• An AI search visitor from sources like ChatGPT converts 4.4× better than a traditional organic search visitor. (Semrush)
• Two-thirds of people worldwide expect AI to affect daily life within 3–5 years, up six points since 2022. (Stanford HAI)
• 14% of Americans use AI daily, 12% weekly, 23% occasionally, and 51% never use it. (NORC)
• Non-use of AI for personal tasks is highest among adults 60+ (64%) and lowest among those 30–44 (39%). (NORC)
• 57% of women never use AI for personal tasks, compared with 45% of men. (NORC)
• Men use AI more often, with 18% daily and 14% weekly users, versus 10% daily and 10% weekly among women. (NORC)
• Non-use of AI for personal activities is most common among those with a high school education or less (61%) and least common among those with a bachelor’s degree or higher (41%). (NORC)
• Non-Hispanic Black adults report 20% daily AI use, slightly higher than White or Hispanic adults, while Multiracial and Other workers lead at 30% daily use and just 31% non-use. (NORC)
• 51% of young people ages 14–22 say they’ve used generative AI at least once. (Harvard Graduate School of Education)
• Just 4% of people aged 14–22 use generative AI daily. (Harvard Graduate School of Education)
• 53% of young people ages 14–22 use AI mainly to find information. (Harvard Graduate School of Education)
• 79% of AI experts think Americans interact with AI several times a day or more, while only 27% of adults believe they do. (Pew Research Center)
• 30% of U.S. adults say they use AI daily or several times a week, while 43% do so less often. (Pew Research Center)
• 72% of Americans have heard of chatbots, and 28% of them say they’ve heard a lot. (Pew Research Center)
• Text is the top content type created with gen AI (63%), followed by images (36%) and code (27%). (McKinsey)

• Objection to brands using AI-generated models in ads fell from 49% to 46%. (Attest)
• 31% of consumers think AI improves customer experience, and 29% see it enhancing personalization. (Attest)
• In the U.S., 38% believe AI will make advertising more creative. (Attest)
• 36% of men think AI will bring consumer savings and more innovation, compared with 28% of women. (Attest)
• Women show greater objection to AI models in ads (52%) than men (41%), and older consumers (50–67) object more (50%) than younger ones (43%). (Attest)
• Older consumers (50+) are most concerned about losing human interaction (63%) and live contact (64%), with just 27% believing AI enhances customer experience versus 33% of 31–49-year-olds and 34% of 18–30-year-olds. (Attest)
• 47% of consumers say they’re likely to use Gen AI tools such as ChatGPT and Copilot for shopping research. (Attest)
• 52% of men use AI for purchase decisions versus 43% of women. (Attest)
• 54% of consumers under 50 would use AI for product research, compared with 41% of those 50 and older. (Attest)
• ChatGPT is the top Gen AI tool (52%), followed by Google Gemini (30%) and Microsoft Copilot (20%). (Attest)
• 69% of users aged 18–30 have tried ChatGPT. (Attest)
• The main Gen AI use is answering questions or explaining complex topics (42%), followed by studying or learning (33%) and writing or drafting documents (31%). (Attest)
• 40% of Gen AI users find its search results more trustworthy, while only 17% trust them less than traditional search engine results. (Attest)
• 60% of Gen AI users expect to use it more in the next six months, while 5% anticipate using it less. (Attest)
• 56% of AI experts expect AI to positively impact the U.S. over the next 20 years, compared with only 17% of the public. (Pew Research Center)
• 22% of men believe AI will benefit the U.S., compared with 12% of women. (Pew Research Center)
• 72% of people worldwide accept the use of AI systems. (KPMG)
• 66% of people regularly use AI for personal, work, or study purposes. (KPMG)
• 60% of people believe they can use AI effectively. (KPMG)

• 48% of people say they have little knowledge of AI. (KPMG)
• 83% of students, mostly at the tertiary level, regularly use AI in their studies. (KPMG)
• 27–36% of students say AI use has hurt their critical thinking or collaboration skills. (KPMG)
• 77% of students say they can’t complete coursework without AI assistance. (KPMG)
• 81% of students admit they put in less effort on coursework because they can rely on AI. (KPMG)
• Student AI use surged from 66% in 2024 to 92% in 2025. (HEPI)
• Student use of generative AI tools like ChatGPT for assessments jumped from 53% in 2024 to 88% in 2025. (HEPI)
• Students mainly use AI to save time (51%) and improve work quality (50%). (HEPI)
• The top reasons students hesitate to use AI are fear of being accused of cheating (53%) and concern over inaccurate outputs (51%). (HEPI)

Jobs, Skills & Productivity

• The World Economic Forum estimated AI would replace about 85 million jobs by 2025. (Nexford University)
• 77% of employees worldwide say their organizations use AI. (KPMG)

• Since GenAI’s rise in 2022, productivity in AI-exposed industries like finance and software has jumped from 7% (2018–2022) to 27% (2018–2024), while less-exposed sectors such as mining and hospitality slipped from 10% to 9%. (PwC)
• 58% of employees say they regularly and intentionally use AI at work. (KPMG)
• 53% of employees say they trust AI tools for work. (KPMG)
• 45% of employees favor a human-AI split in management decisions, with humans holding 75% control and AI 25%. (KPMG)
• 57% of consumers worry about AI-driven job losses, down from 59% in 2024. (Attest)
• 75% of executives say AI will enable them to expand into new businesses and ventures. (Cisco)
• 84% of executives say AI will help them gain or maintain a competitive edge. (Cisco)

• Organizations using AI apply it across an average of three business functions. (McKinsey)
• 53% of C-level executives use gen AI regularly at work, compared with 44% of mid-level managers. (McKinsey)
• Workers with a high school education or less have the highest AI non-use rate at 73%, with only 7% using it occasionally. (NORC)
• Only 42% of workers with a bachelor’s degree or higher don’t use AI at work, compared with 64% of those with some college and 73% with a high school diploma or less. (NORC)
• Among employed Americans, 15% use AI daily, 11% weekly, 15% occasionally, and 58% never use it at work. (NORC)
• Among employed workers, 74% of those 60+ don’t use AI at work, compared with 52% of those aged 30–44. (NORC)
• Men are twice as likely as women to use AI daily at work (20% vs. 10%), and women lead in non-use at 66% compared with 52% of men. (NORC)
• 60% of workers worldwide expect AI to alter their jobs within five years, but only 36% think it will replace them. (Stanford HAI)
• AI job postings in the U.S. rose from 1.4% to 1.8% of the labor market in 2024, while demand for generative AI skills nearly quadrupled. (Stanford HAI)
• On average, developers complete tasks 26.08% faster with AI assistance. (Stanford HAI)

• Firms deeply integrating AI had a 72% chance of major productivity gains, compared with 3.4% for those with little adoption. (Stanford HAI)
• In 2024, AI-skilled workers earned a 56% wage premium, up from 25% the year before. (PwC)
• In AI-exposed sectors like finance and software, productivity growth jumped from 7% (2018–2022) to 27% (2018–2024). (PwC)
• Over 65% of employers in IT services and telecommunications expect AI and big data to be core skills for workers by 2025–2030, reflecting the sectors’ reliance on data and connectivity. (Statista)
• By 2035, AI is expected to boost business productivity by as much as 40%. (Cisco)
• 95% of recruiters believe AI can significantly improve talent acquisition and retention. (Cisco)

• 73% of AI experts expect AI to positively affect work over the next 20 years, compared with just 23% of U.S. adults. (Pew Research Center)
• 64% of the public expects AI to cut jobs in the next 20 years, while only 39% of AI experts agree. (Pew Research Center)
• Only 32% of employees think AI will create more jobs than it removes. (KPMG)
• AI-exposed industries show three times higher revenue per employee growth than less-exposed sectors. (PwC)

Sectors & Regions

• AI optimism varies widely: China (83%), Indonesia (80%), and Thailand (77%) show strong confidence, while the U.S. (39%), Canada (40%), and the Netherlands (36%) remain far less positive. (Stanford HAI)
• In 2024, India led global AI hiring with a 33.39% year-over-year growth rate, followed by Brazil at 30.83%. (Stanford HAI)
• India leads in AI adoption, with 91% of workers using it and 81% trusting it, compared with just 39% use and 33% trust in the Czech Republic. (Statista)
• The U.S. ranked first in 2024’s global AI readiness index (87.03), leading in public-sector AI implementation, followed by Singapore, South Korea, and France. (Statista)
• ChatGPT adoption is lower in the U.S. (45%) than in the U.K. (55%), Canada (56%), and Australia (58%), while the U.K. leads in Gemini (34%) and Copilot (26%) use. (Attest)
• Trust in AI is lower in advanced economies (39%) than in emerging ones (57%). (KPMG)
• Regular AI use is higher in emerging economies (80%) than in advanced ones (58%). (KPMG)
• AI knowledge is higher in emerging economies (64%) than in advanced ones (46%). (KPMG)
• Employee AI use is higher in emerging economies (72%) than in advanced ones (49%). (KPMG)
• In 2024, organizational AI adoption jumped 27 points in Greater China and 23 in Europe, with North America leading at 82%. (Stanford HAI)

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