Table of Contents
Artificial Intelligence Translates the Language of Animals
Kim Kyung-jin, Attorney at Law
The Story of AI Learning to Listen to Whales, Dolphins, Birds, and Bees
Twelve chapters on how AI listens to dolphins, sperm whales, humpback whales, birds, and bees to find rules in their sounds, and what this technology means for its risks and for animal rights. Written in simple sentences a child can read, with verified sources in every section.
Table of Contents
AI Deciphers Ancient Scripts
Kim Kyung-jin, Attorney at Law
Ancient Records Revived by AI
In twelve chapters, this book explains how AI revives records once unreadable, from burned scrolls and wooden slips buried in mud to broken clay tablets. It covers virtual unrolling at Herculaneum, virtual collation of oracle-bone texts, reading Silla wooden tablets, computational analysis of undeciphered scripts, and multispectral archives, with verified references for each chapter.
Table of Contents
Artificial Intelligence for New Materials Design and Rocket Propulsion Engineering
Kim Kyung-jin, Attorney at Law
AI Potentials, Self-Driving Laboratories, and Physics-Informed Machine Learning (PIML)
Ten chapters on how artificial intelligence is changing new materials and rocket propulsion: atomic simulation, generative models, self-driving labs, high-temperature alloys, metal 3D printing, combustion, cooling design, and engine diagnosis and control. Written without equations, with verified sources in every chapter.
AI Library
The Age of Autonomous Scientific Discovery
Kim Kyung-jin, Attorney at Law
AI Scientists and Self-Driving Labs
This book follows how AI scientists and self-driving labs are changing the way science generates and verifies claims. It covers literature-based discovery, natural-language protocols translated into robot commands, multi-agent research systems, closed-loop laboratories, materials search, the verification gap, chains of evidence, research harnesses, journal ethics, and legal responsibility.
AI Library
A New Era of Life Sciences Opened by Artificial Intelligence
Structural Proteomics, Genomic Foundation Models, Autonomous Laboratories, and Global Governance
Kim Kyung-jin, Attorney at Law
This book is a research volume compiled with artificial intelligence. A human selected the materials and structured the work, while AI models drafted the sentences and cross-checked the facts.
AI Library
The Double Structure of Digital Sovereignty
Europe’s Departure from Palantir and the Chains of American Big Tech
Kim Kyung-jin, Attorney at Law
This is a record of 2026, when European intelligence agencies and defense ministries began removing analytics tools from America’s Palantir. It covers the replacement decisions made by France’s General Directorate for Internal Security (DGSI), Germany’s Federal Office for the Protection of the Constitution (BfV), and the Netherlands Ministry of Defense; the incident in which US export controls severed an ally’s ac…
New English Edition
Artificial Intelligence in Horticulture
Kim Kyung-jin, Attorney at Law
Across five chapters and ten sections, this book examines computer vision for crop diagnosis, harvesting robots and autonomous field systems, smart greenhouses and digital twins, precision irrigation and supply-chain quality control, high-throughput phenotyping, and predictive breeding.
New English Edition
Artificial Intelligence in Food Crop Agriculture
Kim Kyung-jin, Attorney at Law
Across six chapters and eighteen sections, the book examines digital agricultural infrastructure, remote sensing, crop diagnosis, yield forecasting, precision irrigation, genomics, molecular breeding, agricultural robotics, climate-smart agriculture, and global food security.
New English Edition
The Future of Forestry and Agroforestry
Kim Kyung-jin, Attorney at Law
Driven by Artificial Intelligence and Digital Innovation
Across five chapters and fifteen sections, the book follows satellites, drones, LiDAR, digital twins, forest-specific language models, wildfire and pest forecasting, forestry robotics, agroforestry, timber traceability, and forest carbon markets.
New English Edition
Smart Livestock Farming: AI Enters the Barn
Kim Kyung-jin, Attorney at Law
Sensors listen, cameras watch, and artificial intelligence helps farmers decide.
Across five chapters and fifteen sections, the book follows precision livestock farming from animal health and reproduction to robotic milking, virtual fencing, digital twins, methane reduction, welfare, and data ownership.
Table of Contents
Han Dong-hoon, Busan Buk-gu Gap: A Record of the 100 Days Before and After the Election (Mar. 26-Jul. 3, 2026)
Kim Kyung-jin
Table of Contents and 13 sections
From March 26 to July 3, 2026, this record follows the spring after expulsion, the Busan Buk-gu Gap by-election, victory as an independent, and the first bill submitted in the National Assembly.
Table of Contents
Artificial Intelligence and Medicine
Kim Kyung-jin, Attorney at Law
AI in clinical care, hospitals, education, and research
AI in medical imaging, risk prediction, treatment planning, hospital operations, education, and research, with patient safety, privacy, and accountability.
[AI Library] Chapter 5. Will 300 Million Jobs Disappear?
Ten Questions AI Poses to Humanity
Chapter 5. Will 300 Million Jobs Disappear?
Kim Kyung-jin
"The discovery of means to save labor outpaces the discovery of means to employ it." John Maynard Keynes
1. Microsoft Lays Off 6,000
In May 2025, shocking news came out of Silicon Valley. Microsoft had laid off 6,000 employees overnight. That was 3% of the entire workforce, a staggering number. What made it worse was that more than 40% of those let go were software developers.
CEO Satya Nadella said it plainly. "AI is now writing 30% of our company's software code." His words became reality fast. Years of experience and skill that human developers had built up turned out to be no match for AI. An 18-year veteran TypeScript developer, core contributors to the Python language, none were spared from the layoff list. Even Gabriela de Queiroz, who had led Microsoft's AI startup support organization, was let go. It was a cold reminder that working in the AI field itself offered no protection.
This was not an ordinary restructuring. In the past, layoffs happened when a company was struggling or the economy was bad. But Microsoft was posting record-breaking results. First-quarter revenue had climbed 13% to $70.1 billion, and still the company pushed through with mass layoffs.
The Washington Post reported that "mass layoffs at Silicon Valley companies, once rare, have become a routine management tool." Layoffs were no longer extraordinary events; they had become a standard business strategy for the AI era.
Microsoft was not alone. Google laid off hundreds from its Assistant division. Amazon carried out large-scale cuts in its Alexa AI assistant unit. Meta let go of 3,600 people; Tesla cut 14,000. They all gave the same reason: "to focus on AI."
Technology replacing human jobs is nothing new. The steam engine replaced the horse carriage, the printing press put scribes out of work, and computers took the place of typewriters and filing cabinets. But this AI revolution is qualitatively different. For the first time in history, machines have begun performing tasks that require human intelligence.
2. Twenty Years of Experience; AI Picks It Up in Twenty Minutes
A survey by recruitment platform Wanted Lab of 180 working developers produced alarming results. Roughly half said that generative AI tools like ChatGPT had already surpassed the coding ability of developers with one to three years of experience. Skills that took a developer 20 years to master, AI can learn in just 20 minutes.
According to the Bureau of Labor Statistics, the number of computer developers employed in the United States fell 27.5% over the two years from 2023 to 2025, the lowest level since 1980. Total employment across the economy grew, but job postings for software developers dropped 35%. This is not a temporary blip. It is a structural shift.
Duolingo's case is even starker. After laying off 10% of its contract translators and writers in late 2023, the company carried out another round of mass layoffs in October 2024. CEO Luis von Ahn declared that "AI can handle content creation, translation, alternative translations, and virtually everything our translators used to do." By April 2025, he announced Duolingo would become an "AI-first" company, stating flatly: "We will no longer hire contractors for work that AI can do."
Data from Saramin, a Korean job platform, showed that hiring of entry-level developers in the domestic IT sector fell 18.9% in the first quarter of 2025 compared to a year earlier. Companies no longer see the need to recruit junior developers. AI tools like GitHub Copilot and ChatGPT can handle basic coding tasks faster and more accurately than a human beginner can.
3. The Irony: AI, Built by Humans, Now Fires Them
Software developers became the first casualties of the AI era. The AI they themselves built ended up taking their jobs. The irony is hard to miss.
Klarna's story shows this shift in sharp relief. In February 2024, the fintech company announced that its AI chatbot was doing the work of 700 customer service agents. In its first month alone, it handled 2.3 million customer inquiries, cut average resolution time from 11 minutes to 2 minutes, reduced repeat queries by 25%, and provided 24-hour service in 35 languages. The company projected $40 million in cost savings for 2024.
A year later, Klarna reversed course. In May 2025, CEO Sebastian Siemiatkowski announced the company was hiring human customer service agents again, saying that "AI alone leads to lower quality." They had learned that AI was not a cure-all.
Confusion has spread across developer communities. Junior developers worry, "Are they just not going to hire us anymore?" Even senior developers can no longer feel certain about their futures. Software development, long considered a stable, high-paying career, is no longer a safe bet.
4. The Imbalance Between Jobs Lost and Jobs Created
Goldman Sachs issued a striking forecast: AI could eliminate 300 million existing jobs by 2035. The prediction points to a massive earthquake in the global labor market.
The World Economic Forum's 2025 Future of Jobs Report found that 41% of employers worldwide plan to reduce their workforce through AI automation within the next five years. But they are not waiting five years. Many are already acting on those plans right now.
In the first seven months of 2025, direct AI-related layoffs in the United States alone topped 10,000. Total layoffs reached 806,000, the highest figure for that period since 2020. In the tech sector alone, 89,000 people lost their jobs.
New jobs are being created. That much is true. AI researchers, data scientists, AI ethics specialists, these roles did not exist a few years ago. But the number of new positions falls far short of the jobs being eliminated. The deeper problem is that most of these new roles demand highly specialized knowledge. The WEF reported that 77% of new AI-related positions require a master's degree, and 18% require a doctorate.
These are not jobs that laid-off developers can easily pivot into. Many require doctoral-level expertise or specialized research experience, putting them out of reach for most working professionals.
5. The Crisis Facing the Professions
AI's impact does not stop at repetitive tasks. Doctors, lawyers, accountants, professionals once considered irreplaceable, are now facing challenges from AI.
Law firms have started using AI for contract review and legal research. In medicine, AI is outperforming human doctors in diagnostic imaging. In accounting, AI is automating tax processing and financial analysis.
Even creative professions are not safe. AI can now paint, compose music, and write prose, and designers, composers, and writers are all feeling the pressure. Many companies have begun producing simple advertisements and web designs with AI, and jobs in those fields are shrinking as a result.
Polygon, the well-known gaming website, was sold in 2025 to Valnet, an AI-powered content farm, and nearly all of its human staff were let go. Artists and illustrators are losing clients to AI, and voice actors have been on strike for nine months fighting AI voice cloning technology.
6. Too Late to Learn, Too Early to Retire
The current education system is completely mismatched for the AI era. Much of what universities teach, AI can already do better. Education built on memorization or following fixed procedures has no meaning in an age of AI.
The problem is that changing education systems takes time. Overhauling university curricula, retraining professors, and developing new teaching methods all require years. But AI technology advances every day, and the pace of educational change simply cannot keep up.
Workers in their 40s and 50s feel the crisis most acutely. They are too old to learn new skills easily, yet too young to retire. Anthropic CEO Dario Amodei warned that "AI could eliminate half of entry-level white-collar jobs within the next five years."
According to Goldman Sachs research, since early 2025, unemployment among tech workers aged 20 to 30 has risen by nearly 3 percentage points, significantly higher than in other occupations or among tech workers overall. This is consistent with anecdotal reports that young tech graduates are hitting hiring barriers caused by generative AI.
7. The Worst Inequality in History, Made by AI
A handful of giant corporations dominate AI technology. Google, Microsoft, Amazon, Meta, and others are monopolizing AI, and their revenues are surging. Meanwhile, ordinary workers are losing their jobs, and the wealth gap is widening.
When large numbers of people lose their jobs, spending drops. When spending drops, corporate revenues fall, and the entire economy suffers. The decline in middle-class consumption is an especially serious problem. The middle class is the core consumer base of any economy; when they lose jobs and income shrinks, the damage ripples through everything.
Mass unemployment threatens social stability. As the number of jobless people grows, social unrest intensifies, crime rates can rise, and political conflicts may deepen. History shows that mass unemployment caused by technological change has always brought social turmoil.
Leading authorities in the AI field have expressed grave concern. Geoffrey Hinton, often called the godfather of AI, said: "If AI replaces human intellectual labor, what kind of new jobs will actually be created?" He argued that "AI is a very different kind of revolution from past technological revolutions."
Demis Hassabis, CEO of Google DeepMind, emphasized that "AI will become better than almost all humans in almost every way" and that "we must prepare for this." Elon Musk warned that "at the current trajectory, artificial intelligence could surpass humans within the next five years."
8. Sleeping Governments, Indifferent Corporations
Most governments are failing to respond adequately to AI-driven job losses. AI is advancing so fast that policymaking cannot keep pace. Politicians and civil servants who do not properly understand AI technology are part of the problem.
Social safety nets are also insufficient. Unemployment benefits and retraining programs exist, but they fall far short of what is needed to handle mass unemployment caused by AI. In the United States, the Department of Government Efficiency (DOGE), launched in January 2025 under Trump, aims to eliminate federal jobs through AI optimization. Even the government itself is automating jobs with AI.
AI companies are not fulfilling their social responsibilities. They are reaping enormous profits from AI, yet they offer almost no support for the people who have lost their jobs. Companies say "AI will create new jobs," but they present no concrete alternatives.
9. What Will Your Children Do for a Living?
College students and young people feel deep anxiety about their futures. Jobs once considered stable are now threatened by AI, and a growing number of people say they have no idea which career path to choose.
Computer science students are especially troubled. They studied to become software developers, but by the time they graduate, AI may already be doing that work. In January 2025, job postings in professional services hit their lowest level since 2013, a 20% drop from the previous year.
Anxiety is spreading across society as a whole. Many people are asking themselves: "Is my job safe?" and "What will our children do for a living?" This anxiety is already suppressing consumer spending, which in turn is hurting the economy.
A report from The Atlantic that unemployment among recent U.S. college graduates has risen to abnormal levels deserves attention. One explanation is that companies are replacing entry-level office positions with AI, or that spending on AI is simply "crowding out" spending on new hires.
The biggest problem is that there is no clear solution. We cannot stop the advance of AI technology, and we cannot simply ignore mass unemployment. Some have proposed a universal basic income, but no social consensus has been reached. And even if a basic income were adopted, it would not resolve the loss of self-worth or social purpose that comes with losing a job.
The job crisis of the AI era is no longer a story about some distant future. As the cases of Microsoft, Duolingo, and Klarna show, it is already here. Software developers have been hit first, but this is only the beginning.
The severity of the problem goes beyond some people losing their jobs. Social inequality is deepening, the structure of the economy is changing at its roots, and the stability of entire societies is at risk. What makes this even more alarming is that virtually no preparation has been made for such rapid change.
Governments, corporations, educational institutions, and individuals all need to act together. We need new education systems designed for the AI era, social safety nets for those who lose their jobs, and policies that prevent the benefits of AI technology from being concentrated in the hands of a few.
Artificial intelligence is, without question, a remarkable technology that can help humanity in countless ways. But if it serves only the interests of a few while inflicting pain on the majority, that is not real progress. The job crisis of the AI era is not a technology problem. It is a societal problem, and a fundamental question about what kind of society we want to build and what values we choose to pursue.
The difficulties we face now could also mark the beginning of new opportunity. Many companies still think of AI as nothing more than a tool for cutting headcount and reducing costs, but that is outdated thinking. True innovation does not stop at making existing work more efficient; it creates entirely new goals, new coordinates, new possibilities.
If AI can take over human tasks, then the energy and time we gain should not go toward slashing payrolls and laying people off. It should go toward creating new value that was never possible before. Conquering disease, exploring space, personalized education for every learner: the things humanity has dreamed of for so long could become reality through AI.
The Industrial Revolution of the 19th century wiped out countless jobs, too, yet it gave rise to entirely new occupations that had never existed before: auto mechanics, electrical engineers, chemical engineers. The point is not to fear the change but to dream bigger. We can hold onto the belief that what seems impossible today may become perfectly ordinary tomorrow, and we can build the vision and leadership this AI era demands. Now is the time for all of us to pay attention and work together to find wise answers to this question.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.