No matter how significant the achievements of developers creating new AI-based models and tools may be, one fundamental question remains: how widely are these technologies actually being used in practice? To answer this, the Pitch Avatar team has gathered up-to-date data from authoritative sources and is pleased to share it with you.
Before moving on to the statistics themselves, it is important to highlight one key point: companies and organizations continue to show steady interest in adopting AI solutions. At the same time, the main challenge remains unchanged — for this process to be truly successful and deliver tangible results, businesses must rethink and radically restructure their workflows, organizational models, and staffing structures.
Overall Level of AI Adoption in 2025
According to a McKinsey study, the share of companies using AI in at least one business function reached 88%, which is 10% higher than in 2024. However, only 7% of companies have implemented AI solutions across their entire organization. Another 31% are in the process of scaling AI adoption company-wide, while the rest remain at the stage of experiments and pilot projects.
Number of AI Users in 2025 and in the Near Future
According to estimates by AltIndex, 378 million people used AI on a daily basis in 2025 — 65 million more than in 2024. This figure is expected to grow to 451 million in 2026 and reach 729 million by 2030.
Key Tasks Solved with AI in 2025
According to Secondtalent, the most common purposes for which companies and organizations used AI were:
- process automation — 76%;
- customer service chatbots — 71%;
- data analytics — 68%;
- prevention — 52%;
- fraud detection and control — 49%;
- supply chain optimization — 41%;
- personalized marketing — 38%.
AI Adoption in 2025 by Company Size
A clear and consistent pattern can be observed: the larger the company, the greater its interest in using artificial intelligence. At the same time, over the past two years, the fastest growth in AI adoption has been recorded in the small business sector.
According to Secondtalent, AI adoption levels by company size in 2025 are as follows:
- corporations with more than 10,000 employees — 87% have adopted AI (+23% compared to 2023);
- large businesses (1,000–9,999 employees) — 74% (+31% vs. 2023);
- mid-sized businesses (250–999 employees) — 58% (+42% vs. 2023);
- small businesses (up to 249 employees) — 34% (+68% vs. 2023).
Impact of AI Adoption on Employees and Jobs in 2025
According to PwC, deep AI adoption increases revenue per employee by a factor of three. At the same time, employee salaries in such companies grow twice as fast. According to Exploding Topics, by 2030 AI will “eliminate” 92 million jobs while simultaneously “creating” 140 million new ones.
Level of Agentic AI Adoption in 2025
For understandable reasons, companies are paying particular attention to one of the most advanced types of AI tools — AI-based agents capable of semi-autonomous and fully autonomous real-time operation.
According to McKinsey, by the end of 2025, 23% of companies had already begun scaling the use of AI agents in at least one business function, while 39% were experimenting with their application or running pilot projects.
Key areas where companies use Agentic AI
- knowledge management — 26%;
- marketing and sales — 24%;
- IT — 23%;
- service operations — 22%;
- product and service development — 21%
Main Barriers to AI Adoption in 2025
According to Secondtalent, companies and organizations faced the following challenges over the past year:
- data quality and availability — 73%;
- lack of AI-related skills — 68%;
- integration with legacy systems — 61%;
- regulatory constraints — 54%;
- limited resources and budget — 47%;
- resistance to organizational change — 42%;
- lack of clear ROI measurement — 38%.
Summary
In conclusion, let us return to the point made at the beginning. The main difficulty in adopting AI tools lies in the need for radical changes in the way companies and organizations operate. From the perspective of those who follow the “if it works, don’t touch it” principle, such changes seem unjustifiably risky. They prefer to wait until transformation happens “naturally,” for example through generational change.
However, this approach no longer works today. In the modern world, the greatest risk is falling behind technological progress. By waiting, companies risk losing their competitive position in just a matter of months. Today’s pace of life requires not merely keeping up with progress, but staying ahead of it. Therefore, do not be afraid to experiment with AI in your company — the much greater risk lies in adopting it too late.
Good luck to everyone, and successful collaboration with artificial intelligence!
