51 Artificial Intelligence Statistics to Know in 2024

AI is rapidly being adopted across industries, transforming the way businesses operate and create value.

1. 78% say they expect their use of AI/ML to increase this year, compared to last year (DigitalOcean, 2023).

2. 73% of respondents are currently using artificial intelligence and machine learning tools for personal and/or business use (DigitalOcean, 2023).

3. 72% of organizations have adopted AI in at least one business function (McKinsey, 2024).

4. In 2024, 72% of respondents reported AI adoption in 1 or more business functions, 50% in 2 or more functions, 27% in 3 or more functions, 15% in 4 or more functions, and 8% in 5 or more functions, according to the survey findings (McKinsey, 2024).

5. Nearly half (46%) of the organizations surveyed reported that they granted approved access to Generative AI tools and applications to only a small fraction of their employees, specifically 20% or less of their workforce, indicating that the availability of these tools remains limited for most workers (Deloitte, 2024).

6. The United States has witnessed a substantial rise in AI-related regulations, with the number growing from a single regulation in 2016 to 25 in 2023. Last year alone, the total number of AI-related regulations increased by 56.3% (Stanford AI Index Report, 2024).

The potential of AI has attracted substantial investment from venture capitalists and corporate entities alike.

7. The AI technology market is enormous, with an estimated value of approximately $200 billion in 2023. Projections indicate that this market will experience significant growth, surpassing $1.8 trillion by 2030 (Statista, 2023).

8. AI startups are seeing significantly higher valuations compared to non-AI startups, with the gap widening as they mature. At the B-series funding stage, AI startups record a 60% higher valuation than their non-AI counterparts (Statista, 2023).

9. AI funding experienced a massive surge in 2023, with investments in generative AI alone skyrocketing to $25.2 billion, representing a nearly eight-fold increase compared to the previous year (Stanford AI Index Report, 2024).

10. The venture funding for AI startups saw an uptick in the first quarter of 2024 when compared to the previous quarter. AI-focused startups raised $12.2 billion across 1,166 deals in Q1 2024, reflecting a modest 4% increase from the $11.7 billion invested in 1,072 deals during Q4 2023 (Crunchbase, 2024).

11. In February 2024, AI companies received $4.7 billion in venture funding, accounting for more than 20% of the total venture capital invested that month. This represents a significant increase compared to the $2.1 billion invested in AI companies in February 2023, more than doubling the investment in the sector over the course of a year (March 2024).

12. In 2022, the AI industry saw a surge in investments, with the United States leading the charge as the country with the most newly-funded AI companies. That year, 1,392 AI companies worldwide received funding of more than $1.5 million each, with the United States accounting for 542 of these companies, followed by the European Union and United Kingdom at 293, and China at 160 (Our World in Data and AI Index Report. 2022).

The integration of AI in the workplace is reshaping the future of work, automating tasks, and augmenting human capabilities.

13. 45% of respondents believe that artificial intelligence and machine learning tools make their job easier (DigitalOcean, 2023).

14. 31% of respondents do not see artificial intelligence and machine learning tools as a threat to their job (DigitalOcean, 2023).

15. 63% say their company does not have a ChatGPT/generative AI usage policy in place (DigitalOcean, 2023).

16. 66.2% of respondents said their companies have at least one internal AI use case live (Retool, 2023).

17. 75% of Americans think that the implementation of artificial intelligence will lead to job losses in the United States within the next decade (Gallup, 2023).

18. In the near future, a higher percentage of organizations (39%) anticipate that Generative AI will lead to an increase in their workforce size, while a smaller proportion (22%) expect it to result in a reduction in headcount. This trend may be attributed to the growing demand for professionals with expertise in Generative AI and data-related fields (Deloitte, 2024).

19. More than half (51%) of respondents believe that artificial intelligence (AI) will have a positive impact on their job within the next five years. A quarter (25%) anticipate no impact, while 16% expect a negative impact from AI on their job. The remaining 8% are uncertain about the potential impact of AI on their employment (Google and Ipsos, 2024).

As AI becomes more prevalent in consumer-facing applications, understanding public perception and sentiment towards the technology is crucial.

20. 43% of respondents believe that artificial intelligence and machine learning tools are over-hyped (DigitalOcean, 2023).

21. 34% of respondents have not implemented artificial intelligence and machine learning tools into their organization due to security concerns (DigitalOcean, 2023).

22. 39.4% of respondents cited model output accuracy as a pain point around development AI apps (Retool, 2023).

23. 54% of respondents reported that their company knows and encourages their use of artificial intelligence at work (Retool, 2023).

24. 79% of Americans say they trust businesses “not much” or “not at all” to use AI responsibly (Gallup, 2023).

25. 63% of respondents surveyed are concerned about inaccuracy, while 52% worry about potential intellectual property infringement (McKinsey, 2024).

26. 72% of respondents said their organization’s trust in all forms of AI has increased since Generative AI emerged in late 2022 (Deloitte, 2024).

27. 60% of respondents reported their organization is effectively balancing integrating Generative AI rapidly while implementing processes that mitigate potential risks (Deloitte, 2024).

AI is transforming the software development and engineering landscape, streamlining processes, improving code quality, and enabling faster time-to-market.

28. 47% of respondents have implemented artificial intelligence and machine learning into their company’s development and coding process (DigitalOcean, 2023).

29. 57.6% of respondents say they’ve been using StackOverflow less since 2022 (Retool, 2023).

30. 38.2% reported that GPT-4 from OpenAI is their most frequently used learning language model for building AI applications (Retool, 2023).

31. 30.5% of respondents use GitHub Copilot for engineering, design, and ops (Retool, 2023).

32. 13% of organizations surveyed reported adopting generative AI into their software engineering function (McKinsey, 2024).

AI-powered chatbots and virtual assistants are changing the customer service landscape, providing 24/7 support and personalized experiences.

33. 21% of respondents have implemented artificial intelligence and machine learning into the customer service and engagement area of their business (DigitalOcean, 2023).

34. 39% of respondents have used artificial intelligence and machine learning tools to enhance their organization’s customer experience, using predictive analytics to proactively meet customer needs (DigitalOcean, 2023).

35. 7% of respondents indicated that their organization had implemented an IT help desk chatbot (McKinsey, 2024).

36. 64% of customer experience leaders plan increasing their investments in evolving AI chatbots within the next year (Zendesk, 2024).

37. 70% of customer experience leaders believe that AI bots are becoming skilled architects of highly personalized customer journeys (Zendesk, 2024).

AI is reshaping the retail and e-commerce sectors, enabling personalized recommendations and improving the overall shopping experience.

38. 93% of retail organizations agree that generative AI is a topic of discussion in their boardrooms (Capgemini Research Institute, 2023).

39. 62% of retail organizations have established a dedicated team and budget to integrate generative AI into their future product and service development plans (Capgemini Research Institute, 2023).

40. The percentage of retail employees using generative AI is projected to increase from 36% in 2023 to 45% in 2025, reflecting a 9% growth over the two-year period (Salesforce and Retail AI Council, 2023).

41. 50% of retailers chose customer experience as the main focus area for their generative AI strategy, while 35% focused on employee experience and 15% on operational efficiency (Salesforce and Retail AI Council, 2023).

42. The top three generative AI practical use cases in retail are generating personalized responses for agents to quickly email or message customers (31%), creating a conversational digital shopping assistant to help shoppers find the right product or service (29%), and creating personalized promotions for loyalty members (27%) (Salesforce and Retail AI Council, 2023).

AI is offering new opportunities for businesses and entrepreneurs to innovate, streamline operations, and gain a competitive edge.

43. In 2023, the private sector led the way in developing notable machine learning models, with the industry creating 51 such models compared to just 15 from academic institutions. Furthermore, collaborations between industry and academia reached a new peak, resulting in the creation of 21 notable models (Stanford AI Index Report, 2024).

44. 95% of IT professionals believe generative AI helps employees work more efficiently by automating repetitive tasks, enabling them to focus on complex work (Freshworks, 2023).

45. 86% of CxOs are already utilizing generative AI in their work to varying extents, and almost 100% believe that this technology will have a transformative impact on both their organization and their industry as a whole (Accenture, 2023).

46. While a staggering 94% of individuals express willingness to acquire new skills to work alongside generative AI, a mere 5% of companies are currently investing in large-scale reskilling initiatives for their employees (Accenture, 2023).

Marketing and sales leaders are embracing AI, enabling targeted campaigns, personalized content, and data-driven decision-making.

47. 34% of organizations surveyed reported that they had adopted generative AI into their marketing and sales function, with 16% specifically using AI for content support within their marketing strategy (McKinsey, 2024).

48. 68% of Americans think AI is at least as proficient as humans in tailoring online content for users, while 65% believe it matches or surpasses human ability in suggesting products or services (Gallup, 2023).

49. Content marketers are embracing generative AI tools like ChatGPT and Grammarly, with 75% using them for tasks such as brainstorming topics (47%), researching headlines and keywords (46%), and proofreading (29%) (Content Marketing Institute, 2023).

50. 41% of marketing practitioners who have adopted or are implementing generative AI plan to use it for automating parts of content creation, such as writing creative pieces, articles, social posts, and landing pages (Adobe, 2024)

51. Approximately one-quarter of practitioners use generative AI to personalize content, with 25% crafting emails, messages, and other copy, and 23% creating personalized images, infographics, or video content (Adobe, 2024).

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