AI-Related Job Creation Statistics [2025] – About Chromebooks

Report on AI-Related Job Creation and its Alignment with Sustainable Development Goals

This report analyzes the impact of Artificial Intelligence (AI) on global labor markets, focusing on job creation trends and their implications for the United Nations Sustainable Development Goals (SDGs). The integration of AI is a significant driver of economic transformation, directly influencing SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). However, this transition requires careful management to ensure equitable outcomes in line with SDG 10 (Reduced Inequalities) and SDG 5 (Gender Equality), supported by advancements in SDG 4 (Quality Education).

Global AI Employment Landscape in 2025

The year 2025 marked a significant expansion in AI-related employment, reflecting accelerated technology adoption across industries. This growth contributes directly to the targets of SDG 8 by creating new, high-value jobs and fostering economic productivity.

Regional Distribution and Economic Growth

• Asia-Pacific: Led global expansion, adding approximately 1.1 million new AI positions. India emerged as a key contributor with over 490,000 roles, demonstrating the potential for technology to drive economic growth in developing nations (SDG 8).
• Europe: Created over 850,000 AI-related jobs, with Germany, France, and Sweden at the forefront of adopting innovative infrastructure (SDG 9).
• North America: The United States added over 280,000 net new AI roles, indicating sustained investment in technological innovation.

Sectoral Impact on Sustainable Development

• Healthcare: The creation of new roles for diagnostic AI analysts and patient data modelers supports SDG 3 (Good Health and Well-being) by enhancing medical capabilities.
• Education: The addition of 210,000 roles, including instructional AI designers, directly advances SDG 4 (Quality Education) by enabling personalized and accessible learning.
• Transportation and Logistics: The creation of 315,000 positions related to autonomous platforms contributes to building resilient infrastructure and sustainable industrialization (SDG 9).
• Retail: Over 360,000 specialists were hired to manage intelligent supply chains, promoting more efficient and sustainable consumption and production patterns (SDG 12).

Analysis of AI Job Creation by Role and Skill

The nature of AI-related employment is diverse, encompassing both technical and non-technical functions. This evolution underscores the need for a workforce equipped with a blend of skills to support an innovative and inclusive economy.

Fastest-Growing AI Job Categories

The emergence of new job titles highlights the dynamic nature of the labor market. These roles offer high-wage opportunities, contributing to decent work objectives under SDG 8.

1. AI Engineer: 143.2% year-over-year growth
2. Prompt Engineer: 135.8% year-over-year growth
3. AI Content Creator: 134.5% year-over-year growth
4. AI Solutions Architect: 109.3% year-over-year growth
5. Machine Learning Engineer: 98.7% year-over-year growth

Evolving Skill Requirements and Lifelong Learning (SDG 4)

The skills demanded by the AI economy are shifting, emphasizing the importance of continuous education and training aligned with SDG 4.4 (increase the number of adults with relevant skills).

• Human-Centered Skills: Design, communication, leadership, and collaboration have become critical competencies, surpassing coding in some job postings. This indicates that AI is augmenting, not just automating, human work.
• Interdisciplinary Expertise: Growth in non-technical roles like AI ethicists and compliance officers highlights the need for professionals who can bridge technology with social and legal domains, ensuring responsible innovation (SDG 9, SDG 16).

AI Job Creation vs. Displacement: A Social Equity Perspective

While AI is a net job creator, the transition involves significant job displacement, posing challenges to inclusive growth. Addressing this requires policies focused on social protection and equitable opportunities, in line with SDG 10 and SDG 5.

Analysis of Displaced Roles

Certain job categories with repetitive tasks face a higher risk of automation. The impact of this displacement is not uniform across demographic groups.

• Affected Roles: Office support, customer service, and food service positions are projected to decline.
• Demographic Impact: Women, who form a majority in office support and customer service, are disproportionately affected, creating challenges for SDG 5 (Gender Equality). Black and Hispanic workers also face outsized risks in vulnerable categories, threatening progress on SDG 10 (Reduced Inequalities).

The Imperative for a Just Transition (SDG 8 & SDG 10)

Managing the transition effectively is crucial for mitigating inequality. Projections indicate that approximately 12 million occupational transitions may be required by 2030 in developed economies.

• Reskilling and Upskilling: Without adequate retraining infrastructure, there is a risk of labor market polarization. Investment in accessible education and vocational training is essential to enable displaced workers to transition into new, higher-wage roles (SDG 4, SDG 8).
• Social Safety Nets: Protecting labor rights and promoting secure working environments for all workers, especially those in transitioning industries, is a core component of SDG 8.

Long-Term Forecast and Policy Implications for the 2030 Agenda

Projections indicate sustained growth in AI-related employment through 2030, presenting a significant opportunity to advance the Sustainable Development Goals if managed with foresight and inclusive policies.

Employment Growth Projections to 2030

• The World Economic Forum projects that new technologies, including AI, will help create a net total of 78 million jobs globally by 2030.
• McKinsey Global Institute estimates AI could contribute to creating 20 to 50 million new jobs globally by 2030.
• Demand for STEM and healthcare occupations is expected to rise significantly, reinforcing the need for targeted education and training initiatives (SDG 4, SDG 3).

Recommendations for Aligning AI Growth with SDGs

1. Invest in Education: Governments and private sectors must collaborate to reform curricula and promote lifelong learning opportunities to build a resilient and adaptable workforce (SDG 4, SDG 17).
2. Promote Inclusive Policies: Ensure equitable access to training and job opportunities for women, minorities, and low-wage workers to counteract the displacement effects and advance SDG 5 and SDG 10.
3. Develop Ethical Frameworks: Establish robust governance and regulatory frameworks to ensure AI is developed and deployed responsibly, supporting SDG 16 (Peace, Justice and Strong Institutions).
4. Foster International Cooperation: Bridge the global divide in AI readiness through technology transfer and investment in digital infrastructure in developing nations (SDG 9, SDG 17).

Analysis of Sustainable Development Goals in the Article

1. Which SDGs are addressed or connected to the issues highlighted in the article?

The article on AI-related job creation touches upon several Sustainable Development Goals (SDGs) by discussing the economic and social transformations driven by artificial intelligence. The primary SDGs connected to the article’s content are:

• SDG 4: Quality Education: The article emphasizes the urgent need for new skills, reskilling, and lifelong learning to adapt to the AI-driven economy. It highlights the gap between available AI jobs and qualified candidates, pointing directly to the role of education and training in preparing the workforce.
• SDG 5: Gender Equality: The article explicitly mentions the differential impact of AI-driven job displacement on demographic groups, noting that women are more vulnerable as they constitute the majority of workers in office support and customer service roles, which are at high risk of automation.
• SDG 8: Decent Work and Economic Growth: This is the most central SDG in the article. The text is focused on job creation, economic transformation, wage premiums for AI skills, and the net employment impact of AI. It explores how AI is fostering economic growth by creating new roles and industries while also posing challenges to traditional employment.
• SDG 9: Industry, Innovation, and Infrastructure: The article discusses how the integration of AI technologies is transforming various industries like manufacturing, healthcare, and retail. This relates to upgrading infrastructure and industries to make them sustainable and technologically advanced, a core aspect of SDG 9.
• SDG 10: Reduced Inequalities: The analysis of job displacement reveals that lower-wage workers and specific demographic groups (women, Black, and Hispanic employees) are disproportionately affected by automation. This highlights the risk of AI exacerbating existing inequalities if transitions are not managed effectively, connecting directly to the goal of reducing inequality within and among countries.

2. What specific targets under those SDGs can be identified based on the article’s content?

Based on the article’s discussion, several specific SDG targets can be identified:

1. Under SDG 4 (Quality Education):
   • Target 4.4: By 2030, substantially increase the number of youth and adults who have relevant skills, including technical and vocational skills, for employment, decent jobs and entrepreneurship. The article directly supports this by stating, “Workers displaced from lower-wage positions must acquire new skills to access higher-paying opportunities,” and highlighting that “Nearly 50 percent of employers struggle to find candidates with advanced AI skills.”
2. Under SDG 5 (Gender Equality):
   • Target 5.b: Enhance the use of enabling technology, in particular information and communications technology, to promote the empowerment of women. While the article highlights the risks, it implicitly points to the need for this target. It states, “Women constitute the majority of workers in office support and customer service, making them more vulnerable to these specific shifts,” which underscores the importance of targeted technological training and empowerment to mitigate these negative impacts.
3. Under SDG 8 (Decent Work and Economic Growth):
   • Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation. The article illustrates this by describing how AI integration leads to “revenue growth nearly four times faster” in exposed industries and creates new, high-value jobs like “AI Engineer” and “AI Solutions Architect.”
   • Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value. The article’s core theme of AI being a “net job creator” and the projection that AI could create “20 to 50 million new jobs globally by 2030” directly relate to this target. The discussion on the “wage premium for AI skills” also touches upon the “equal pay for work of equal value” component.
4. Under SDG 9 (Industry, Innovation, and Infrastructure):
   • Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries… encouraging innovation. The article provides examples of this technological upgrading across sectors, such as “Healthcare represents the fastest-growing sector for AI-related positions” and “Manufacturing facilities integrated AI to such an extent in 2025 that 188,000 new jobs emerged.”
5. Under SDG 10 (Reduced Inequalities):
   • Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status. The article points to the challenges related to this target by noting that low-wage workers are “10 to 14 times more likely to need occupational transitions” and that “Black and Hispanic employees face outsized risks in customer service and food service categories.” This highlights the need for inclusive policies to manage the AI transition.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

Yes, the article is rich with quantitative and qualitative data that can serve as indicators to measure progress towards the identified targets.

• For Target 4.4 (Relevant Skills for Employment):
  • Indicator: Percentage of employers struggling to find candidates with specific skills. The article states, “Nearly 50 percent of employers struggle to find candidates with advanced AI skills.” A decrease in this percentage over time would indicate progress.
  • Indicator: Demand for new skills in job postings. The article notes that “design skills surpassed coding and cloud expertise to become the most in-demand competency in AI job postings,” which can be tracked to measure evolving skill requirements.
• For Target 8.2 (Economic Productivity and Innovation):
  • Indicator: Rate of job growth in high-tech roles. The article provides specific data: “AI Engineer roles surged 143.2 percent year over year.”
  • Indicator: Number of new jobs created in specific innovative sectors. For example, “Manufacturing facilities… 188,000 new jobs emerged focusing on smart systems and predictive maintenance.”
• For Target 8.5 (Full and Productive Employment):
  • Indicator: Net job creation figures. The article provides several: “The United States added over 280,000 net new AI roles in 2025,” and the World Economic Forum’s projection of a “net growth of 78 million jobs” by 2030.
  • Indicator: Wage premium for specific skills. The article mentions, “The wage premium for AI skills increased from 25 percent in 2024,” which can be used to measure the value of these skills in the labor market.
• For Target 10.2 (Reduced Inequalities):
  • Indicator: Rate of occupational transition needed by wage level. The article states that workers earning “$38,200 or less annually are 10 to 14 times more likely to need occupational transitions.” Tracking this disparity is a key indicator of inequality.
  • Indicator: Job displacement rates by demographic group. The article’s mention that “Women constitute the majority of workers in office support” and that “Black and Hispanic employees face outsized risks” provides a baseline for measuring whether interventions are successfully reducing these unequal impacts.

4. Table of SDGs, Targets, and Indicators

Source: aboutchromebooks.com