[1/2] The state of AI in 2025. Agents, Innovation, and Transformation: Results (AI column)
I studied interesting. report November 2025 QuantumBlack, AI by McKinsey, led by a group of senior partners at McKinsey. I was interested in comparing the results with the joint report "Jakov and Partners". (ex-McKinsey) And Yandex, which I mean. told earlier.
McKinsey’s global study is based on an online survey conducted with 25 June 29 July 2025 years. Participated in the survey 1 993 respondent 105 Countries representing all major regions, industries, company size, functional areas and job levels. Around 38% of participants work for companies with revenues over $1 The data were weighted by countries’ share of global GDP to address the imbalances.
Key definitionswhich are used throughout the report and worth knowing when reading
- Regular use of AI is defined as the application of AI in at least one business function of an organization. Degree of implementation assessed by stages
- Experimentation.
- Pilot implementation
- Scaling up. (Deployment of company-wide solutions) Complete scaling throughout the enterprise
- The authors have identified “agent AI systems” (AI agents) as foundation-based systems capable of autonomously operating in the real world, planning and performing multi-step tasks
- Under "AI high performers." (High-performing companies in the field of AI) understand a small segment (~6Percentage of surveyed organizations)where, thanks to AI, a significant effect is achieved: 5The percentage of a company’s total EBIT and “substantial” business value are directly attributable to the use of AI. The practice of these leaders is considered separately.
Executive summary at the beginning of the report and looks like this
1Most organizations are still in the experimental or pilot phase Nearly two-thirds of respondents say their companies haven’t started scaling AI to the organization level yet. (enterprise-wide). 2High interest in AI agents 62Percent of respondents say their organizations are at least experimenting with AI agents. 3️ There are positive early signals of AI impact, but not at the business level Respondents see the effect in specific scenarios - reduced costs and revenue growth; 64% believe that AI helps innovation. But only 39% fix the impact on EBIT at the company level as a whole. 4Results leaders use AI not only for efficiency but also for growth/innovation 80Percentage of respondents say their companies are making efficiency a goal of AI initiatives. But those who get the most value out of AI often add growth or innovation goals. (They are not limited to cost cutting.). 5Process redesign is a key success factor Half of ‘High-Efficiency’ Companies Plan to Use AI to Transform Businesses, and Most Are Already Overworked (redesign) work processes and chains of tasks. 6Different expectations on the impact on employment Respondents’ estimates of how AI will impact workforce numbers in the coming year vary: 32Percent expect reductions 43% unchanged, 13Percent height.
In continuation I'm going to talk about high-impact strategies. ~~manager~~ commands that the authors of the report use as a golden image or a sample for the rise, which should be followed by those who are not yet ready to report on the effect in the 5% of total EBIT.
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