Slovenia had the largest share of enterprises using artificial intelligence (AI) technology among Central and Eastern European (CEE) countries, at over 11 percent in 2023. To compare, in Croatia, which ranked second, almost eight percent of businesses used any AI technology, while in Romania this figure stood at only 1.5 percent.

Combined, China had the highest rate of exploring and deploying artificial intelligence (AI) globally in 2022. It was followed closely by India and Singapore. This lead was also marked when accounting only for the deployment of AI in organizations in China, with India following. Both nations had a nearly ** percent deployment rate. When accounting only for exploration, however, the leading nations were Canada and the United States. AI in Europe on the rise Europe contains an exceptionally vibrant technology sector. This is particularly true in the field of AI, where funding for startups specializing in this high-demand technology stood at more than *** billion U.S. dollars in late 2022. Many of Europe’s major economies are leaders in the exploration and deployment of AI and are ahead of the global curve. Opportunities for early adopters Those businesses that begin using AI early will find it easier to reap the benefits. The most desirable effect, or at least the one that directly affects most businesses, is a revenue increase as it underpins the whole of their business model. The most important benefit of AI usage in enterprises is in supply chain management and human resources. Major improvements to supply chains provide a major boost to revenue by using AI to map out idiosyncrasies and problematic stops. When it comes to human resources, the use of AI can drastically reduce time in hiring cycles by enabling AI-driven algorithms to select those candidates whose resume most aligns with the job requirements.

In 2025, it was the United States that led the world in research capacity on AI. And led with a lead of nearly ** points beyond its nearest competitor, China. Across the globe, no other nation comes close to the U.S. research capacity in AI.

Computer science still male-driven Research requires educated and skilled individuals to do it and in the modern world, computer science education is still male-dominated. Both in Europe and the United States, it is males that trend far more towards bachelor’s degrees in computer science. However, females had a higher trend toward masters in this field in Europe, whereas, in the United States, their share was similar to their share of bachelor's degrees. U.S. tech giants play a significant role One primary driver of the United States' significant lead over other nations is the fact that it houses the largest tech companies on earth. Counting giants such as Microsoft, Google, Apple, and Amazon, the country has ample funds in private hands to drive AI research even without the enormous budget of the U.S. government.

This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2022— although the bulk of the sources stem from between 2017 and 2022. The index does not distinguish between legitimate and illegitimate uses of AI and big data surveillance. Rather, the purpose of the research is to show how new surveillance capabilities are transforming governments’ ability to monitor and track individuals or groups. Last updated February 2022.

This index addresses three primary questions: Which countries have documented AI and big data public surveillance capabilities? What types of AI and big data public surveillance technologies are governments deploying? And which companies are involved in supplying this technology?

The index measures AI and big data public surveillance systems deployed by state authorities, such as safe cities, social media monitoring, or facial recognition cameras. It does not assess the use of surveillance in private spaces (such as privately-owned businesses in malls or hospitals), nor does it evaluate private uses of this technology (e.g., facial recognition integrated in personal devices). It also does not include AI and big data surveillance used in Automated Border Control systems that are commonly found in airport entry/exit terminals. Finally, the index includes a list of frequently mentioned companies – by country – which source material indicates provide AI and big data surveillance tools and services.

All reference source material used to build the index has been compiled into an open Zotero library, available at https://www.zotero.org/groups/2347403/global_ai_surveillance/items. The index includes detailed information for seventy-seven countries where open source analysis indicates that governments have acquired AI and big data public surveillance capabilities. The index breaks down AI and big data public surveillance tools into the following categories: smart city/safe city, public facial recognition systems, smart policing, and social media surveillance.

The findings indicate that at least seventy-seven out of 179 countries are actively using AI and big data technology for public surveillance purposes:

• Smart city/safe city platforms: fifty-five countries • Public facial recognition systems: sixty-eight countries • Smart policing: sixty-one countries • Social media surveillance: thirty-six countries

In 2022, ** percent of clinicians in China stated that they trust artificial intelligence (AI) is ready for medical use, the highest share across all countries. This statistic shows the share of clinicians who trust artificial intelligence (AI) for use in healthcare worldwide as of 2022, by country.

Global Total Number of Scientific Publications in Artificial Intelligence Share by Country (Units (Publications)), 2023 Discover more data with ReportLinker!

Denmark, Luxembourg, and Slovenia were the European countries with highest use of artificial intelligence (AI) technologies among wholesale and retail trade enterprises in 2023. In the mentioned countries, a bit more than 14 percent of enterprises in the wholesale and retail trade sector used at least one type of AI-based technology in the considered year.

The leading AI country by operating environment in 2024 was Italy, with a score of 100, followed closely by the United States with a score of **.

As artificial intelligence (AI) becomes increasingly integral to global economies and societies, the need for effective AI governance has never been more urgent. The rapid advancement in AI technologies and their widespread adoption across many sectors, such as healthcare, finance, agriculture, and public administration, presents unprecedented opportunities and significant risks. Ensuring that AI is developed and deployed in a manner that is ethical, transparent, and accountable requires robust governance frameworks that can keep pace with technological evolution. This report explores the emerging landscape of AI governance, providing policymakers with an overview of key considerations, challenges, and global approaches to regulating and governing AI. It examines the foundational elements necessary for thriving local AI ecosystems, such as reliable digital infrastructure, a stable and sufficient power supply, supportive policies for digital development, and investment in local talent. As countries navigate this complex landscape, the report highlights the need to encourage innovation by mitigating risks like bias, privacy violations, and lack of transparency, emphasizing the importance of sustainable growth and responsible AI governance.

The rapid advancement of artificial intelligence (AI) technologies has brought about significant changes in many sectors, including defense and military training. The integration of AI into military training offers numerous opportunities to enhance the efficiency, effectiveness, and safety of training programs. This article explores the various possibilities of using AI in the training of military personnel, examining its applications in simulation, personalized learning, real-time decision-making, and autonomous systems. The article also discusses the potential challenges and ethical considerations in the implementation of AI in military training.

Interpolated noise dataset built on 10M+ hours of real-world acoustic data combined with AI-generated predictions. Ideal for map generation, AI training, and model validation.

The Asia Pacific AI in Tourism Market would witness market growth of 27.2% CAGR during the forecast period (2025-2032). The China market dominated the Asia Pacific AI in Tourism Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,

📂 Dataset Title:

AI Impact on Job Market: Increasing vs Decreasing Jobs (2024–2030)

📝 Dataset Description:

This dataset explores how Artificial Intelligence (AI) is transforming the global job market. With a focus on identifying which jobs are increasing or decreasing due to AI adoption, this dataset provides insights into job trends, automation risks, education requirements, gender diversity, and other workforce-related factors across industries and countries.

The dataset contains 30,000 rows and 13 valuable columns, generated to reflect realistic labor market patterns based on ongoing research and public data insights. It can be used for data analysis, predictive modeling, AI policy planning, job recommendation systems, and economic forecasting.

📊 Columns Description:

Column Name Description

Job Title Name of the job/role (e.g., Data Analyst, Cashier, etc.) Industry Industry sector in which the job is categorized (e.g., IT, Healthcare, Manufacturing) Job Status Indicates whether the job is Increasing or Decreasing due to AI adoption AI Impact Level Estimated level of AI impact on the job: Low, Moderate, or High Median Salary (USD) Median annual salary for the job in USD Required Education Typical minimum education level required for the job Experience Required (Years) Average number of years of experience required Job Openings (2024) Number of current job openings in 2024 Projected Openings (2030) Projected job openings by the year 2030 Remote Work Ratio (%) Estimated percentage of jobs that can be done remotely Automation Risk (%) Probability of the job being automated or replaced by AI Location Country where the job data is based (e.g., USA, India, UK, etc.) Gender Diversity (%) Approximate percentage representation of non-male genders in the job

🔍 Potential Use Cases:

Predict which jobs are most at risk due to automation.

Compare AI impact across industries and countries.

Build dashboards on workforce diversity and trends.

Forecast job market shifts by 2030.

Train ML models to predict job growth or decline.

📚 Source:

This is a synthetic dataset generated using realistic modeling, public job data patterns (U.S. BLS, OECD, McKinsey, WEF reports), and AI simulation to reflect plausible scenarios from 2024 to 2030. Ideal for educational, research, and AI project purposes.

📌 License: MIT

According to a November 2024 survey, nearly ** percent of consumers in China reported using an AI-based tool for travel planning. In contrast, only ** percent of respondents in Germany and Australia mentioned using artificial intelligence for trip planning.

1) Data Introduction • The AI Global Index Dataset is a comprehensive index that benchmarks 62 countries based on the level of AI investment, innovation, and implementation, including seven key indicators (human resources, infrastructure, operational environment, research, development, government strategy, commercialization) and general information by country (region, cluster, income group, political system).

2) Data Utilization (1) AI Global Index Dataset has characteristics that: • This dataset consists of a total of 13 columns with 5 categorical variables (regions, clusters, etc.) and 8 numerical variables (scores for each indicator), covering 62 countries. • The seven key indicators are classified into three pillars: △ implementation (human resources/infrastructure/operational environment) △ innovation (R&D) △ investment (government strategy/commercialization), and assess each country's overall AI ecosystem capabilities in multiple dimensions. (2) AI Global Index Dataset can be used to: • Global AI leadership pattern analysis: Correlation analysis between seven indicators can identify AI strengths and weaknesses by country and perform group comparisons by region and income level. • Machine learning-based predictive model: It can be used for data science education and application, such as country-specific index prediction through regression analysis or classification of AI development types through clustering.

Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, recent developments such as ChatGPT and Artificial Intelligence (AI) more generally, may have further consequences for the work of (science) journalists. Through a mixed-methodology, the quality of news reporting was studied within the context of AI. A content analysis of media output about AI (news articles published within the time frame 1 September 2022–28 February 2023) explored the adherence to quality indicators, while interviews shed light on journalism practices regarding quality reporting on and with AI. Perspectives from understudied areas in four European countries (Belgium, Italy, Portugal, and Spain) were included and compared. The findings show that AI received continuous media attention in the four countries. Furthermore, despite four different media landscapes, the reporting in the news articles adhered to the same quality criteria such as applying rigour, including sources of information, accessibility, and relevance. Thematic analysis of the interview findings revealed that impact of AI and ChatGPT on the journalism profession is still in its infancy. Expected benefits of AI related to helping with repetitive tasks (e.g. translations), and positively influencing journalistic principles of accessibility, engagement, and impact, while concerns showed fear for lower adherence to principles of rigour, integrity and transparency of sources of information. More generally, the interviewees expressed concerns about the state of science journalism, including a lack of funding influencing the quality of reporting. Journalists who were employed as staff as well as those who worked as freelancers put efforts in ensuring quality output, for example, via editorial oversight, discussions, or memberships of associations. Further research into the science-media relationship is recommended.

We tracked the use of AI around elections in 14 countries.

The North America AI in Tourism Market would witness market growth of 25.5% CAGR during the forecast period (2025-2032). The US market dominated the North America AI in Tourism Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $4,

The North America Artificial Intelligence (AI) in Healthcare Market would witness market growth of 40.4% CAGR during the forecast period (2024-2031). The US market dominated the North America Artificial Intelligence (AI) in Healthcare Market by Country in 2023, and would continue to be a dominant m

The Europe Causal AI Market would witness market growth of 36.9% CAGR during the forecast period (2025-2032).The Germany market dominated the Europe Causal AI Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $25,879.7 million by 20