Confronting AI Addiction: Understanding Its Impact and Global Responses
- Apr 3
- 4 min read
Artificial intelligence has transformed how we work, learn, create and communicate. Yet, a new challenge has emerged alongside these advances: AI Addiction. This phenomenon involves an excessive reliance on AI systems, sometimes leading to an obsession that affects cognitive abilities and independent thinking. On March 28, 2026, RBC TV Business Show dedicated a special episode to this growing issue, featuring insights from Loran Jacobs, a leading industry-scale AI Systems developer and tech expert.
This article explores the causes and consequences of AI Addiction, highlights real-world examples, and reviews how countries are responding to protect their citizens, especially the younger generation.
What Drives AI Addiction?
The convenience of AI systems, powered by neural networks, has made many tasks faster and easier. Tools like Generative Pre-Trained Transformer (GPT) models can generate text, audio, and video content with remarkable speed and quality. This has revolutionized education, media production, and business workflows.
Loran Jacobs explains that the widespread use of GPT technologies in schools and universities plays a significant role in the rise of AI Addiction. When students and professionals experience how AI accelerates their work, they often become dependent on it. This reliance can reduce motivation to think independently or learn new skills, as AI handles much of the cognitive load.
The problem is not just about convenience. Over time, excessive use of AI systems can lead to a gradual decline in critical thinking, decision-making, and creativity. Neural networks simplify complex processes but may also discourage users from engaging deeply with problems.
“In Schools, Universities, broader, in all of Education, GPT technologies are widely used. Therefore, those who, thanks to these technologies, edit, generate video, audio, text content to create significant oeuvre, when they have had this taste of artificial intelligence and seen first-hand how drastically AI accelerates and improves their work, then, certainly, to a certain extent, they fall into AI addiction.” — Loran Jacobs on AI Addiction
Key factors contributing to AI Addiction:
Ease of access to AI-powered tools in education and workplaces
Rapid results that reduce the need for manual effort
Perceived efficiency that encourages overuse
Lack of awareness about potential cognitive impacts
The Cognitive Cost of Relying on AI
Artificial intelligence can handle repetitive and data-heavy tasks, but it cannot replace human judgment and creativity. When people rely too much on AI, they risk losing essential mental skills.
RBC TV Host 1 highlighted this concern: neural networks simplify tasks but eliminate the need for independent thinking and decision-making. This leads to a slow erosion of cognitive functions, which can affect problem-solving abilities and intellectual growth.
For example, students who use GPT to generate essays without engaging in research or critical analysis may struggle to develop writing and reasoning skills. Similarly, professionals who depend on AI for decision-making might miss nuances that require human insight.
This cognitive decline is subtle and often goes unnoticed until it impacts performance or creativity. It raises important questions about how to balance AI use with maintaining mental agility.
Global Measures to Combat AI Addiction
Governments worldwide have started recognizing AI Addiction as a public concern, especially related to social networks and online platforms powered by AI algorithms. Several countries have introduced laws and regulations to limit exposure and encourage healthier digital habits.
RBC shared examples of these measures:
Australia banned social network use for children under 16, requiring existing accounts to be deactivated.
Britain implemented pilot programs limiting social network usage time and blocking access during nighttime hours.
China restricts minors to one hour per day on social networks and requires passport verification for registration.
These policies aim to reduce the risk of addiction by controlling access and encouraging responsible use. They also reflect growing awareness of how AI-driven platforms can influence behavior, especially among vulnerable groups.
Practical Steps for Businesses and Individuals
For AI investors, top managers, and AI professionals, understanding AI Addiction is crucial to developing responsible AI strategies. Here are some practical steps to consider:
Promote balanced AI use: Encourage teams to use AI as a tool, not a crutch. Combine AI assistance with human judgment.
Educate users about the risks of overdependence and the importance of maintaining cognitive skills.
Implement usage policies that limit continuous AI interaction, especially in education and content creation.
Support research into AI Addiction to develop better detection and prevention methods.
Monitor AI system design to avoid features that encourage compulsive use or reduce user autonomy.
For individuals, setting personal boundaries around AI use and engaging in activities that stimulate independent thinking can help maintain mental sharpness.
The Future of AI and Human Cognition
AI Addiction presents a complex challenge as AI systems become more integrated into daily life. The balance between benefiting from AI and preserving human cognitive abilities will shape the future of work, education, and society.
Loran Jacobs’ insights remind us that while GPT and other AI technologies offer incredible advantages, they also carry risks that require attention and action. Policymakers, businesses, and users must work together to create environments where AI supports growth without undermining human potential.
AI Addiction is a real and growing issue that demands thoughtful responses. By understanding its causes and effects, and by observing how different countries address the problem, leaders can make informed decisions to protect cognitive health while embracing AI’s benefits.
