As artificial intelligence continues to advance at an unprecedented pace, the question of whether AI creates or destroys jobs has become one of the most pressing concerns of our time. While proponents argue that AI will generate new opportunities as it enhances productivity, much like previous technological advancements, an examination of the data reveals more troubling trends. This scrollytelling page explores how AI automation is fundamentally reshaping the job market and how many of the jobs we rely on are at substantial risk of being automated.
Understanding the Risk Landscape
The scatter plot above maps thousands of jobs based on their automation risk and growth rate. Each dot represents a specific occupation, with its position showing how vulnerable it is to AI automation (horizontal axis) and its projected growth (vertical axis). The color of each dot indicates the AI impact level—red for high impact, orange for moderate, and green for low impact.
Use the dropdown menu above the chart to filter by industry and explore how different sectors are affected. Hover over individual dots to see detailed information about each job, including its title, salary, required education, and specific automated risk.
The Uncomfortable Truth: A Massive Number of Jobs Are at Risk
What becomes immediately apparent when examining this visualization is that massive cross section of jobs are at risk, from Fast food restaurant managers to Sales executives an incredible section of our occupations are at risk. Even high skill/education jobs such as literal executives are at risk.
The data reveals that jobs requiring advanced education and offering substantial compensation are not immune to automation. In fact, many professional roles in managment, legal services, finance, and technology are high-risk, with specific examples including the aforementioned sales executives, materials engineers, investment analysts, etc. Workers who have invested years in education and career development may find their roles increasingly automated, with AI systems capable of performing complex decision-making tasks that were once the exclusive domain of human professionals, steadily reducing the need for human workers.
Understanding Risk by Industry
The industry bar chart above shows the average automation risk by industry. The x-axis is the industry name and the y-axis is the average automation risk. The color of the bars indicates the AI impact level in the form of a gradient from white (low impact) to red (high impact).
The Most at Risk Industries
Besides specific jobs that are at risk, the industry bar chart above indicates that while essentially all industries face substantial AI risk, some industries are much more impacted than others. While some sectors like education are likely to receive minimal impact, finance in particular faces high risk of massive disruption, and with it significant job loss. A large selection of other industries are also at risk, though to a lesser degree, such as entertainment and healthcare. This data helps drive home that a massive variety and number of jobs are at risk, including those in industries that might be considered most desirable, such as finance.
Multi-Dimensional Destruction: A More Complete Picture of The Risks
The radar chart above reveals the comprehensive threat that AI poses across different sectors. Each polygon represents an sector of the economy, with its shape showing how vulnerable that sector is across multiple dimensions: automation risk, AI exposure, wage pressure, reskilling gaps, and job security loss. The larger the polygon, the more comprehensively that industry faces disruption.
AI Encroaches on Every Sector
The emergence of ChatGPT and similar LLMs in late 2022 marked a turning point. Unlike previous automation that replaced manual or routine tasks, these systems can perform cognitive work that was previously thought to be uniquely human. Customer support roles, which appear prominently in the radar chart with high AI exposure scores, have been particularly hard hit. But it is not the only sector at risk, while some sectors are (relatively) safe, such as education and creative industries, the majority have high risk ratings across the board and all stand to lose jobs(and wages) to AI. Some sectors in particular, manufacturing, retail, and admin, have a high reskilling gap, meaning that workers in these sectors will have a hard time transitioning to new roles, and may even be left behind as their skills become obsolete.
The Global Inferno: AI Adoption Spreads Worldwide
The flames visualization above represents the global scale of AI's recent boom. Each circle represents a country, positioned within flame layers that correspond to their level of AI adoption and the corresponding job risk. The size of each circle reflects the country's population, meaning that larger circles represent millions more workers at risk.
Countries in the red "High" layer, including China, the United States, Japan, and major European economies, have aggressively adopted AI technologies. These nations represent billions of workers whose jobs are now in jeopardy. The visualization makes clear that this is not a localized problem, AI proliferation stands to create a global crisis affecting the world's largest economies and workforces.
Scale and Speed: Why This Time Is Different
Historical technological disruptions, from the Industrial Revolution to the computer age, created new jobs even as they eliminated old ones. However, the current 'AI revolution' is fundamentally different in both scale and speed. The flames visualization shows that countries representing a massive proportion of the world's population are in the high-risk category, and this transition is happening not over decades, but over years.
The scale of this transition is also unprecedented, as unlike previous technological shifts, AI is not just augmenting human capabilities, but sometimes replacing them entirely (e.g., generating summaries of research papers in seconds, even if at lower quality, where a human would have to spend hours reading and summarizing the paper). This fundamental shift from augmentation to replacement is what turns the scale of AI adoption into a potential crisis.
Global Risk Map: No Country Is Immune
The world map above visualizes average automation risk by country. Use the dropdown menu to filter by specific job titles and see how different occupations face varying levels of risk across different nations. Hover over countries to see their specific automation risk percentages for the job selected.
What becomes immediately apparent is that automation risk is remarkably consistent across countries, about 49-51% globally. This narrow range is itself telling: it suggests that AI's impact on jobs is not dependent on a country's level of development, economic system, or labor regulations. Whether in developed economies like the United States and United Kingdom, or emerging markets, the threat of automation looms equally large.
The Borderless Nature of AI Job Destruction
The geographic visualization underscores a critical point: AI-driven job loss respects no borders. Unlike previous waves of automation that primarily affected manufacturing in specific regions, AI technologies, especially cloud-based LLMs like ChatGPT and its alternatives, can be deployed instantly and simultaneously across the globe. A company in New York can replace customer service workers in India, a firm in London can automate data analysis that once required analysts in multiple countries, and a startup in San Francisco can eliminate roles that previously existed in dozens of nations.
This borderless nature means that workers cannot simply relocate to avoid automation. The map shows that whether you're in a high income country with strong labor protections or a developing economy, the automation risk remains consistently high. The proliferation of AI has created a global labor market disruption where geographic advantages offer little protection. Workers everywhere face the same fundamental challenge: adapting to an economy where AI can perform an expanding range of tasks previously reserved for human intelligence.
The Constellation of Job Destruction: A Complex Web of Risk
The job constellation visualization above provides a final, comprehensive view of how AI threatens employment across different countries and industries. Each 'star' represents a job, orbiting around a country center in rings that correspond to different industry sectors. The size of each star reflects its automation risk, larger stars face higher risk, while the color indicates AI impact level with green for low impact, yellow for moderate, and red for high impact.
Use the dropdown menu to explore different countries and see how their job markets are structured. Click on any sector's orbit label to toggle between grouped and spread views, revealing how jobs within that industry are distributed. Hover over individual stars to see more detailed information about each job's risk profile in tooltip form.
The Inescapable Conclusion: AI's Path of Destruction
As we trace through these visualizations, from the individual jobs at risk, to larger industries under threat, to global patterns of adoption, and finally to the complex constellation of employment a pattern emerges. AI is not merely changing the job market, it is systematically dismantling it across multiple dimensions simultaneously. These visualizations show that automation risk is not isolated to low skill positions or specific sectors, but now permeate every level of the economy, from entry-level service jobs to executive positions, from manufacturing to finance to healthcare.
The relatively recent large language models like ChatGPT, Deepseek, and Gemni, have accelerated this destruction to a unprecedented pace. Unlike previous technological revolutions that created new industries and employment opportunities faster than it reduced them, current AI systems are designed to replace human cognitive labor, the very foundation of most modern employment, and certainly the best modern employment.
AI is causing or will cause substantial job losses across the globe, across industries, and across skill levels. Without significant intervention, policy changes, and a fundamental rethinking of how we value human labor in an our economy, millions of workers face displacement with few viable alternatives.