References and Sources
All statistics and claims on the Mode3.ai website are backed by credible research from leading organizations.
AI Adoption Statistics
78% of organizations use AI in at least one business function (2024)
Source: McKinsey & Company, "The State of AI" (2024)
This statistic has increased from 72% in early 2024 and 55% in 2023
75% of respondents report current generative AI usage (2024)
Source: IDC's 2024 AI Opportunity Study
Up from 55% in 2023
Productivity and Performance Improvements
40% faster task completion with AI
Source: MIT Sloan, "How generative AI can boost highly skilled workers' productivity"
When AI is used within its capabilities, it can improve worker performance by nearly 40%
66% overall performance improvement
Source: Nielsen Norman Group (NN/g), "AI Improves Employee Productivity by 66%"
Averaged across 3 case studies using generative AI like ChatGPT
56% faster software development tasks
Source: Cut the SaaS, "Gen AI Impact: 56% Faster Dev Tasks"
GitHub Copilot and similar AI code assistants help developers complete tasks 56% faster
Cost Reduction Statistics
25-30% reduction in operational costs
Source: ISG, "AI Cuts Costs by 30%, But 75% of Customers Still Want Humans"
43% of contact centers have adopted AI technologies, leading to 30% reduction in operational costs
30% reduction in customer support costs
Source: VentureBeat, "How AI can reduce customer service costs by up to 30%"
AI chatbots and digital assistants can resolve 80% of FAQs
20-30% productivity improvements for field workers
Source: BCG, "AI Amplifies the Benefits of a Cost Transformation" (2025)
Companies with large field workforces can improve individual employee productivity by 20-30%
Automation and Efficiency Statistics
60% of occupations could see 30% of activities automated
Source: McKinsey Global Institute, "AI, automation, and the future of work"
Based on current technology capabilities
60% of workers could save 6+ hours per week
Source: Smartsheet, "How Much Time Are You Wasting on Manual, Repetitive Tasks?"
Nearly 60% of workers estimate they could save almost a full workday if repetitive tasks were automated
Investment and Future Plans
87% of companies planned to invest in AI (2023)
Source: Digital Information World survey (2023)
This was for 2023 investment plans; current figures are likely higher
40% of organizations expect to increase AI investment
Source: McKinsey, "The State of AI" (2024)
Due to advances in generative AI
$200 billion global AI investment by 2025
Source: Goldman Sachs Economic Research
Projected global investment in AI technologies
Business Value and ROI
92.1% of businesses saw valuable rewards from AI investments
Source: Business analytics survey (2022)
Significant growth from 70.3% in 2020
$3.70 ROI for every $1 invested in generative AI
Source: IDC's 2024 AI Opportunity Study
Top leaders achieve $10.30 ROI
14% average time savings for customer service agents
Source: McKinsey research on generative AI applications
14% increase in issue resolution per hour, 9% reduction in handling time
Additional Key Statistics
74% of companies struggle to achieve and scale AI value
Source: BCG, "AI Adoption in 2024" (October 2024)
While adoption is high, realizing tangible value remains challenging
80%+ of enterprises will use generative AI by 2026
Source: Gartner (2023)
Up from less than 5% in 2023
Last Updated: June 30, 2025