Main article: Artificial Intelligence
2025: The head of the Ministry of Ministry of Digital Development Maksut Shadayev named three areas that have already changed artificial intelligence
In mid-May 2025, the Minister of Digital Development, Communications and Mass Media of Russia Maksut Shadayev identified three key areas that have already undergone significant changes due to the introduction of artificial intelligence technologies.
According to Prime, the first direction that the head of the Ministry of Ministry of Digital Development noted as significantly transformed by artificial intelligence was video surveillance. The minister stressed that these changes are tangible for all citizens. CCTV systems with video surveillance systems of car numbers and people's faces are being actively implemented across the country. Maksut Shadayev noted a noticeable decrease in crime rates in large megacities, where these technologies have received the greatest development.
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The second sphere, which the minister highlighted as significantly changed under the influence of artificial intelligence - medicine. Shadayev pointed to numerous successful examples of the use of AI in healthcare, which were especially pronounced during the COVID-19 pandemic. According to him, artificial intelligence effectively helps doctors in making diagnoses, saves medical personnel from routine operations and minimizes the number of medical errors.
The third direction, which, according to the head of the Ministry of Ministry of Digital Development, has already been transformed thanks to artificial intelligence technologies, was the fight against cyber fraud. Maksut Shadayev noted that AI is successfully used to suppress cybercrime, although this area requires further development. The minister stressed that his department is faced with the task of ensuring quick and high-quality preparation for a larger use of artificial intelligence in this area.[1]
2023
Putin instructed to unify liability insurance for harm caused when using AI
On September 6, 2023, it became known about the instructions of Russian President Vladimir Putin to introduce artificial intelligence. One of them concerns the unification of liability insurance for harm from AI systems.
 | The Government of the Russian Federation, together with the State Duma of the Federal Assembly of the Russian Federation, to ensure that changes are introduced into the legislation of the Russian Federation in the field of experimental legal regimes in the field of digital innovation aimed at simplifying access to participation in the experimental legal regime, as well as at unifying liability insurance mechanisms for harm caused as a result of the use of artificial intelligence technologies, the Kremlin website says |  |
Vladimir Putin announced the need to introduce liability insurance for possible damage caused when using artificial intelligence at a meeting with members of the government in July 2023.
| | We have launched experimental legal regimes in the field of digital innovation. However, their mechanism requires, of course, improvement, including at the legislative level. It is necessary to further simplify access to such regimes, as well as introduce liability insurance for possible damage caused when using artificial intelligence, the head of state said then. | |
Putin also instructed the government to increase the number of companies with state participation that use or plan to use artificial intelligence mechanisms in their work.
| | Let me remind you that we agreed to provide state support for research centers in the field of artificial intelligence until 2030, and here it is necessary to work out all regulatory, organizational and financial issues. Including in the federal budget for 2024-2026, funds should be laid to finance such research centers, the Russian leader said.[2] | |
6 main AI risks for companies named
One of the main risks associated with the use of generative artificial intelligence technologies is the formation of inaccurate and unreliable results. This is stated in the Gartner report, released on May 18, 2023.
Generative AI tools like ChatGPT and large language models open up many new opportunities, but at the same time they harbor certain risks. Gartner analysts have compiled a list of six problems that companies and organizations may face when implementing such solutions.
1. Inaccurate answers
One of the most significant risks when using generative AI is the tendency to provide incorrect, although at first glance plausible, information. Systems such as ChatGPT can "hallucinate," that is, invent facts.
2. Privacy and Data Protection
Any information provided to generative AI can become part of a set of training data. Therefore, confidential information can theoretically be included in responses for any user outside a particular company.
3. Bias
Generative AI systems can make incorrect judgments based, for example, on the race of citizens. This can result in serious problems in a number of areas, in particular in the field of health care and law enforcement.
4. Intellectual Property and Copyrights
Generative AI is trained on large amounts of data that may contain copyrighted material. Consequently, the results of such bots can be based on illegally used intellectual property.
5. Cyber fraud
Attackers can use AI tools to generate false information, organize phishing campaigns and write malicious code. This creates additional threats to Internet users.
6. Consumer protection
Businesses that do not disclose generative AI to consumers risk losing the trust of their customers and being accused of unfair market practices.[3]
2021: Chernyshenko: The use of AI brought the Russian economy more than 300 billion rubles
The use of artificial intelligence technologies brought the Russian economy more than 300 billion rubles at the end of 2021. Deputy Prime Minister Dmitry Chernyshenko announced this at the end of May 2022 at a meeting of the working group on the results of the work of six research centers in the field of artificial intelligence, selected as part of the federal project "Artificial Intelligence" of the national project "Digital Economy."
According to the Chairman of the Government of the Russian Federation, the most noticeable increase from the application of developments in the field of AI in 2021 occurred in the financial sector (69 billion rubles) and the industry of information and communication technologies (55 billion rubles).
In the current conditions, it is necessary to strengthen the introduction of applied AI solutions in the real sector and accelerate the digital transformation of priority sectors of the economy, - said Chernyshenko (quoted by TASS).
To achieve even greater results, the authorities emphasize the training of qualified personnel in the field of AI. Thus, the Deputy Prime Minister considers research centers to be one of the important elements of the training system.
It is clarified that the main task of the created centers is to develop breakthrough solutions and provide Russia with leadership positions in the field of artificial intelligence on the world stage.
As Dmitry Chernyshenko noted, in 2021, the centers received state support in the amount of more than 901 million rubles for the implementation of programs. In total, until 2024, it is planned to allocate 5.4 billion rubles from the federal budget to support them. Another 2.5 billion rubles will be attracted at the expense of industrial partners.
The centers were selected in October 2021 as part of the federal project "Artificial Intelligence" of the national program "Digital Economy." They became the Skolkovsky Institute of Science and Technology, MIPT, Institute of System Programming. V.P. Ivannikova, Innopolis University, ITMO, HSE.[4]
2019
Minister Maxim Oreshkin: AI will increase the number of jobs in Russia and allow you to switch to a 4-day working week
Artificial intelligence will not reduce, but will increase the number of jobs in Russia and allow you to switch to a 4-day working week. This opinion was expressed by Minister of Economic Development Maxim Oreshkin at the Artificial Intelligence Journey (AI Journey) forum in November 2019.
| | We see that the jobs that artificial intelligence now creates are jobs that are difficult to find people for... The existing level of development of artificial intelligence is still very low. The complete replacement of a person is still very, very far away. I think it is not a fact that we will wait for this in my lifetime, and it is unlikely on yours either, "he said. | |
According to the minister, the introduction of artificial intelligence in Russia will not lead to a big effect, since it is necessary to prepare sectors of the economy and industry. However, when this effect is achieved, it will be possible to raise questions about the four-day working week and the "uniform distribution of effects from technologies in society," said Maxim Oreshkin.
He stressed that if you look at the experience of the leading countries in the introduction of artificial intelligence, then there is no increase in unemployment in connection with this process, which means that you do not need to fear it.
| | It is important that technologies do not share, do not increase the differential in society, but, on the contrary, serve as an additional source of income for everyone, for everyone in the country... A fair distribution of the effects of introducing new technologies is what we should be talking about in the first place, "he added. | |
Artificial intelligence can save people from unnecessary and routine work, the minister summed up.
Roman Dushkin, director of science and technology at the Agency for Artificial Intelligence (AIA), believes that with the development of technology, there will really be more jobs in the country, but not in all industries, and some professions will disappear altogether.[5]
BCG: Artificial intelligence makes no profit
In late October 2019, researchers published disappointing findings from a global survey by the Massachusetts Institute of Technology (MIT) and the Boston Consulting Group (BCG) regarding the integration of AI into modern business. Although most companies are confident in the meaningful role of AI that these technologies will play in the future, and almost half are afraid to see AI technologies from competitors, in fact, no more than 40% who have already implemented AI in their business were able to make a real profit.
About 70% of respondents admitted that new technologies did not affect their business in any way. The researchers concluded that successful use of AI without adequate integration into corporate strategy is impossible.
These conclusions are based on the results of a worldwide survey of more than 2,500 representatives of large companies in various industries from 97 countries. The review includes data from both those companies that use external AI technologies and those that develop their own models. Basically, AI is used to reduce costs, increase sales and create new products. However, most of those who invested in AI have not yet been able to capitalize on these technologies. The researchers note that this is due to outdated business models that should be modernized along with the introduction of AI.
According to the researchers' findings, AI strategies should be used to completely transform the business, not just in pilot projects. In addition, AI is more profitable for sales growth than for reducing costs, and AI development brings more profit than using other people's technologies. The researchers also recommend that the management of companies put AI in the hands of those who can actually use it, and not Chief information officers, since in this case the chances of real benefits from the introduction of technologies are reduced by 50%.[6]
PwC AI Predictions study
McKinsey Analytics: Potential Economic Benefits of AI Across Industries
How 9 tech giants can transform the future with AI
In early March 2019, futurist and director of the Future Today Institute at New York University Amy Webb presented the book The Big Nine, which examined the possible impact of artificial intelligence and nine tech giants on the future of humanity.
Rather than questioning the nature of the "thinking" machines, Webb takes a critical view of the people behind them. She covers the "big nine" technology companies:, Google,, Microsoft, and Amazon Facebook(IBM " Apple G-MAFIA") in the United States, as well as,, and ("BAT") in. In her Baidu Alibaba Tencent China 2018 annual Technology Trends Report, Webb emphasized that these nine companies are most in control, cloud computing data analysis research and popular platforms used by developers, so they are the ones that will shape the future of AI.
Webb considered several scenarios for the development of AI over the next 50 years, and given the power wielded by the Big Nine companies, the options presented for the future do not seem far-fetched. Webb's estimates are based on an analysis of patent applications, policy briefings, interviews and other sources. The ideal future for AI is one in which tech companies work with each other and society to solve the world's problems. Webb presents a brave new world in which AI can benefit all people on Earth, such as through high-tech medicine. In this scenario, as the author suggests, IBM will even be able to rid the world of flu and colds. In the pragmatic and worst-case scenarios presented by Webb, however, big tech companies shirk responsibility to society and the future for profit.
When considering such scenarios, Webb assumed that G-MAFIA companies were run by the capitalist market, and BAT companies served the will of the Chinese government. Webb draws attention to such alarming signs as improper management of users' personal data in the United States and the state-sanctioned "social credit" system that controls people's behavior in China. If such values prevail, Webb predicts the emergence of digital caste systems in which access to your personal data is blocked by the operating systems of tech giants such as Google, Apple and Amazon. Large corporations will be run by top AI managers, and cooperation between government, military and technology leaders will seem like a pipe dream.
However, the scenario becomes even worse when Webb moves from considering a limited AI, which can only perform a certain range of tasks, to a common AI. In this case, Webb suggests China , would create a common AI system that would control most; in the Digital States of America, of the world's population control of anyone's bank account will be held by Chinese officials. In 50 years, when the world's population exceeds 10 billion and ultra-intelligent AI appears, China will create a system to destroy its opponents and receive everything left of the world's resources.
Webb concludes her book with an appeal to companies that shape the future of humanity. The Big Nine may leave a depressing impression on many readers, but it provides insight into how several tech firms are able to transform society in a relatively short time.[1]
2018: Companies overestimate artificial intelligence and disappoint in it in a year - Forrester
In early November 2018, the analytical company Forrester published two studies in the field of artificial intelligence - "Forecast for 2019: Automation" and "Forecast for 2019: Artificial Intelligence." According to experts, companies have overestimated artificial intelligence and will be disappointed in it in a year.
One of the research points concerned statistical data that businessmen do not want to recognize yet: in 2019, up to 10% of companies will return the human factor to automated processes, and this trend is largely due to the limitations of AI and their awareness.
Experts do not deny the achievements of AI - automation really speeds up many processes and often eliminates typical human errors. AI is much better than a person analyzes huge amounts of data and compares objects than it provides invaluable assistance in assessing histological sections or X-rays of the lungs. But when it comes to relationships directly with a person, the picture changes.
Companies that have introduced AI into their work in pursuit of profit realize the cruel truth already revealed by sociological research - automation is useful for business only if it helps to bring you closer to the client. By replacing a person with artificial intelligence at the stage of the help desk or round-the-clock chat, businessmen risk falling out of favor with their own clients. The truth is that most people prefer human contact. We have been interacting with each other for thousands of years and, as it turned out, are not too inclined to change this model.
This trend has been noticed for a long time - for example, Harvard Business School Ryan W. Buell has been conducting extensive automation research since 2008 and concluded that customers using only ATMs are less likely to be satisfied with banking than other users. The experience of the company of the international insurance company Metlife, which has installed an automatic system of condolences to the relatives of the victims, clearly shows that the expression of sympathy cannot be trusted with machines.
According to Forrester, the main lesson that can be learned from this study is that in most cases, people should not be completely excluded from the AI cycle. Automation can be used to analyze the market and speed up customer support processes, but direct contact must be made by people. In a balanced relationship between AI and humans, automation will only be applied as the first line of response. This is supported by research: the vast majority of clients will try (and even prefer) to take care of themselves before seeking help, but in the latter case they will prefer to communicate with a person. If the company leaves customers the opportunity to contact an experienced representative at any time, it will maintain an effective balance between the necessary automation and maintaining contact with people.
An excellent example of such an AI implementation is an algorithm that detects that the user has encountered any difficulties and launches a chat window with a support representative. Another example is the automation of the collection and delivery of customer information, which allows you to familiarize the support representative with the situation and further personalize the conversation with the client.
Given the above, the demand for automation and AI is unlikely to fall: Forrester argues that all companies will have to work with AI in one way or another and create an environment in which automation will allow the greatest benefit. However, this will only be possible if the available potential is used correctly.[2]
2017
AI brought companies $700 billion - Gartner
On April 25, 2018, the analytical agency Gartner published the results of a study showing how much companies in the world made money through the use of artificial intelligence technologies.
Experts have assessed the commercial value of AI systems in companies representing various industries. The amount consists of additional revenue, the amount of reduced expenses, as well as income received as a result of improving the quality of customer service due to the implementation of such technologies.
So, in 2017, companies around the world received $692 billion just because they used artificial intelligence. In 2018, income will grow to $1.2 trillion, and by 2022 the benefit will be measured at almost $4 trillion, researchers predict.
| | Artificial intelligence promises to be the most disruptive class of technology within 10 years due to advances in computing power, volume, diversity and speed of data growth, as well as the development of deep neural networks, says Gartner Vice President of Research John-David Lovelock. - One of the largest aggregated sources for products and services using AI for companies between 2017 and 2022 will be niche solutions that allow you to solve a certain problem very well. Executives will invest in such products, sourced from thousands of highly specialized vendors offering specific AI applications. | |
First, the business' core revenue from using artificial intelligence will come from improved customer service, the analyst said, as companies already see the impact of such technologies on increasing and retaining customers. In addition, organizations are looking for opportunities to use AI to improve the efficiency of business processes to improve decision-making and automate more tasks, Lovelock added.[3]
Gartner: By 2020, AI will be a priority in IT spending for a third of companies
In July 2017, Gartner published its forecast for the use of artificial intelligence (AI) and machine learning technologies, according to which by 2020 these technologies will be present in almost all new software products and services. Experts also believe that by this time AI will become part of the digital transformation strategy and will be a priority for investments for almost a third of companies.[4]
At the same time, analysts note that despite all the concerns that AI causes in people, associated, in particular, with the threat of job losses, it still quickly penetrates into all spheres of human activity. According to experts, machine learning technologies can and already significantly complement human capabilities.
"AI offers great opportunities, but instead of understanding its value, identifying needs, developing potential use cases, most companies have rushed to create and promote new products to capitalize on the wave of interest in it," said Jim Haar, vice president of research at Gartner.
At the same time, as Gartner emphasized, cloud and mobile technologies are still drivers of IT spending growth, despite the fact that the main focus is on technologies such as VR and AI.
Gartner analysts predict that the enterprise software market will grow at a strong pace relative to other segments of the IT industry. So, if in 2016 software sales increased by 5.3% (to $326 billion), then in 2017-2018. growth is expected by 7.6% and 8.6% - to $351 and $381 billion, respectively. Researchers attribute the growing sales of software to the continued investments of companies in analytics, AI, big data tools and Solution SaaS.
Teradata: 80% of companies are already investing in AI, predicting a number of difficulties in the future
According to a Teradata study published in early October 2017, the vast majority of enterprises (80%) invest in artificial intelligence (AI) technologies, but one in three leaders believes that in order to maintain their competitiveness, their company will have to increase such investments over the next three years. At the same time, according to enterprises' expectations, serious obstacles may arise in the path of introducing AI technologies, which can be overcome by the introduction of the leadership position of the Chief AI Technology Specialist responsible for optimizing and coordinating the implementation of AI technologies.
Companies ramp up investment in AI
Companies are optimistic and counting on their investment in AI technology to pay off, according to the survey.
The industries whose representatives predict the maximum effect of investments in AI technologies include the IT, technology and telecommunications industry (59%), commercial and professional services (43%), as well as the consumer services sector and the financial services sector (32%), which shared the third place.
The top three among the activities in which revenue growth is predicted as a result of investments in AI technologies include: new product development/R & D (50%), consumer service (46%), as well as supply and production activities (42%). The results are consistent with the data on the main areas of investment in AI technologies, including the quality of customer service (62%), the development of new products (59%) and production optimization (55%).
Despite the high use of AI technologies and the expected effect of their application, there is great potential for their further implementation:
- 80% of respondents note that AI technologies are already used in their organization in one form or another, but 42% indicate that there are great opportunities for their further implementation in all areas of activity.
- 30% are confident that their organization is still not investing enough in AI technologies, and in order to maintain competitiveness in its industry, it will need to increase such investments over the next three years.
- As of October 2017, the surveyed companies invest an average of $6.47 million in AI technologies USA , compared to $8.25 million in investments in the Asia-Pacific region.
A number of factors can complicate the implementation of AI technologies
The overwhelming majority of respondents point to a number of factors that impede the adoption of AI technologies and the generation of income from investments in them. The main obstacles are the lack of information technology infrastructure and the lack of qualified specialists. At the same time, enterprise leaders think much less about the impact of AI technologies and automation on the morale of personnel - only 20% consider this a limiting factor, and even fewer of them (19%) are concerned about the development of a feasibility study for the introduction of AI technologies.
- According to 91% of respondents, the introduction of AI technologies may be limited by a number of factors, the main of which are the lack of information and technological infrastructure (40%) and the lack of qualified specialists (34%). Next are factors such as lack of funds for implementation (30%), restrictions associated with established procedures, rules and rights (28%), as well as the impact on consumer expectations (23%). By comparison, only 19% cite an underdeveloped feasibility study for the introduction of AI technologies as an obstacle, and only 20% think about the impact of AI technologies and automation on the morale of personnel.
- Business expectations for revenue growth and cost reduction/efficiency gains as a result of investment in AI technology were roughly evenly split - 53% and 47%, respectively.
- Only 28% of respondents believe that their organization has enough qualified specialists to acquire, create and implement AI technologies.
What will the demand for AI in companies lead to?
So far, IT directors (47%) and technicians (43%) are involved in solving issues related to the use of AI technologies and strategy development. However, in the future, according to 62% of respondents, AI will become so in demand for developing a strategy for all types of activities that coordinating and managing their implementation at the enterprise will require the involvement of a chief AI technology specialist.
According to companies, the income for each invested dollar will be $1.99 over the next 5 years and $2.87 over the next 10 years.
The largest effect is expected in the following industries: IT, technology and telecommunications (59%), commercial and professional services (43%), consumer services (32%), financial services (32%), as well as manufacturing and manufacturing (31%).
What does it mean
Companies in general predict that AI technologies will become an integral part of our life, in connection with which in 5 years they plan to double their investments in them, and within 10 years - triple. However, they understand that to maximize the effectiveness of these investments, they need to reconsider their ideas about how AI technologies can affect all aspects of their activities and develop an appropriate flexible strategy for improving efficiency.
About the study
The survey was conducted by technology market research company Vanson Bourne, commissioned by Teradata Corporation. The survey was attended by representatives of 260 large organizations operating around the world.
PwC: AI will increase global GDP by $15.7 trillion
PwC Artificial intelligence GDP According to the results of the study "Do not miss the benefit," in 2030 the global will grow by 14%, or 15.7 trillion, dollars USA due to the active use of artificial intelligence. Based on a detailed analysis of the impact of technologies using (AI) on artificial intelligence business, the authors of the report present an overview of economies that have the prerequisites for maximizing the benefits of AI.
PwC experts estimated that more than half of the increase will be due to increased labor productivity in the period 2016-2030. The rest of the profit will be generated by an increase in consumer demand due to the improvement of goods through AI. China (+ 26% GDP growth in 2030) and North American countries (+ 14.5%), or $10.7 trillion, will be able to benefit most economically from AI - almost 70% of global GDP growth.
- At first, in North America, productivity growth will exceed that in China, since these countries have a higher level of readiness for AI implementation and a greater share of jobs that can be automated.
- However, in 10 years, after a slightly slower build-up of the necessary technological and expert base, China will outstrip the United States in terms of productivity growth through the introduction of AI.
- Countries Europe and developed countries Asia will also benefit significantly from the introduction of AI (9-12% of GDP in 2030).
- Developing countries will see a more modest increase in GDP from AI adoption (less than 6%) due to the projected significantly less intense proliferation of AI technologies (including Latin American and African countries).
Salesforce: The introduction of AI will increase global business revenue by $1.1 trillion.
According to a study by IDC commissioned by Salesforce, artificial intelligence (AI) will allow businesses to generate additional revenue of $1.1 trillion by 2021. This will be possible thanks to the introduction of AI algorithms into customer relationship management (CRM) systems. Revenues of commercial structures will increase due to increased labor productivity and reduced costs for automation of production processes. Each of these factors will increase business revenue by $121 billion and $265 billion, respectively[5]
According to IDC estimates, AI will directly affect the creation of more than 800 thousand jobs and another 2 million indirectly. Experts note that this indicator compensates for the loss of vacancies that may have arisen due to the introduction of AI. It is expected that next year will be key for adapting AI technologies - almost half (40%) of the organizations that took part in the study announced their readiness to implement them in the next two years. In particular, almost a quarter of their number will adapt machine learning technologies, text analysis - 27%, voice recognition - 30%, advanced numerical analysis - 31%.
IDC believes that global spending cognitive on/AI systems, including hardware and, software as well as related services, will increase from $8 billion in 2016 to $46 billion in 2020. The greatest benefit from the introduction of AI during the period under review will be (USA $596 billion). Next will be located (91 Japan billion), (62 Germany billion), (55 Great Britain billion) and (50 France billion).
Notes
- ↑ Nine companies are steering the future of artificial intelligence
- ↑ Businesses will scale back on AI in 2019
- ↑ Gartner Says Global Artificial Intelligence Business Value to Reach $1.2 Trillion in 2018
- ↑ In a few years, most applications will be released with built-in AI
- ↑ The introduction of AI will increase global business revenue by $1.1 trillion.
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