AI is no longer a corner of the news, but a protagonist that changes the world every day.
Just a few years ago, AI was a remote field, confined to technologists and research labs. Now, it has deeply penetrated politics, economics, medicine, art, and even our everyday conversations.
This month, AI has been creating new stories without a break.
In the United States, regulations on the use of AI in mental health counseling have been strengthened, emphasizing human-centered, safe use. In industry, voices have been raised that "AI won't take our jobs."
In financial markets, Nvidia's stock price has surged again amid surging demand for AI servers, while in the scientific community, MIT has taken a step closer to solving human health problems by using AI to identify new antibiotic candidates.
Even Tesla is rethinking its AI chip design strategy and accelerating its development of autonomous driving and robotics.
All this news goes beyond mere technological advancements; it's like a window into the world we'll live in in the future.
Table of Contents
- Policy Changes: Illinois Strengthens Regulations on AI Use in Mental Health
- Industry Trends – AMD CEO: "AI Won't Take Away Jobs"
- Market Trends - NVIDIA Stock and AI Server Demand Surge
- Scientific Innovation – MIT Uses AI to Develop New Antibiotic Candidates
- Technology Strategy – Tesla Restructures AI Chip Design
1. Policy Changes – Illinois Strengthens Regulations on AI Use in Mental Health
The US state of Illinois recently passed a law regarding the use of artificial intelligence (AI) in mental health. New regulatory legislationThe core of this regulation is to strictly limit AI's direct intervention in human emotions, mental states, and treatment decision-making processes.
Simply put, in the future, AI will no longer be able to solely “read and diagnose minds” like a psychiatrist. Supervision by human experts, and AI is used only as a reference tool.
For example, even if AI analyzes that “this person is likely to suffer from depression,” it is a person who makes the final judgment.
Why this regulation? The reason is simple. In recent years, the use of AI in mental health apps and online counseling services has exploded. In some cases, reports have emerged of AI providing inappropriate or even dangerous advice. Especially in times of crisis, making poor decisions can have devastating consequences.
Illinois lawmakers emphasize that AI cannot fully replace human empathy and ethical judgment.
While we acknowledge the advantages of AI in quickly analyzing massive amounts of data, we believe that machines cannot replace the ability to provide "warm counseling" that understands human emotions.
This bill is expected to have significant implications for startups and healthcare institutions leveraging AI for mental health counseling. Technology-focused startups, in particular, may need to redesign their products to comply with the new regulations. However, there are also positive aspects.
This regulation could work to prevent the indiscriminate use of AI and better protect patient safety and privacy.
Experts say this move could have implications for other states across the US.
Similar legislation is likely to be pursued, particularly in technology- and healthcare-centric areas like California and New York.
💡 More in-depth analysis and predictions of future changes will follow in the next news release.
Be sure to scroll down and check out the next news!
| division | Before regulation | After regulation |
|---|---|---|
| AI diagnostic authority | Individual diagnosis possible | Human expert supervision is required |
| Data utilization | Automated analysis without patient consent | Prior consent required, notification of purpose of use |
| Emergency response | AI automatic response | Direct intervention by human counselors |
2. Industry Trends – AMD CEO: “AI Won’t Take Away Jobs”
There's been a lot of talk about AI in the industry lately. Many people worry that AI will soon replace our jobs, but AMD CEO Lisa Su has a different take on the matter. She said in a recent interview: AI isn't eliminating jobs, it's creating new opportunities.He emphasized this.
In fact, AMD is investing in the development of high-performance GPUs and server chips that support AI computing, while simultaneously retraining and assigning existing employees to new roles. This means that even as AI automates existing tasks, people can shift to more creative and high-value-added work.
Also, the development of AI technology New industries and occupationsJobs that previously barely existed, such as data scientists, AI trainers, ethical AI experts, and AI hardware engineers, are emerging, and companies are actively recruiting talent in these fields.
Lisa Su also said that AI is an important factor for companies to consider when adopting AI. Empowering Employees and Ethical ResponsibilityHe emphasized that the key is not simply to install machines and pursue efficiency, but to create a structure in which people and AI can cooperate in a complementary manner.
📌 관련 기사와 자세한 내용은 AMD 공식 인터뷰에서 확인할 수 있습니다:
Read the full AMD CEO interview.
This industry trend is not simply a technological change, New opportunities for both businesses and employeesIt is noteworthy that it provides this. In the next article, we will examine the impact of this AI demand on the actual market and stock price through the case of NVIDIA.
3. Market Trends - NVIDIA Stock Price and AI Server Demand Surge
The recent AI boom is having a significant impact on the financial market. NVIDIA, in particular, is attracting attention, with its stock price soaring due to surging demand for GPUs and server chips for AI computing. NVIDIA is securing a dominant position in the market by strengthening its product line for data centers, essential for large-scale AI computing, in addition to high-performance graphics cards.
As AI models grow in size and complexity, data centers and enterprises require more computing power. Consequently, demand for NVIDIA products is exploding, leading to increased revenue and stock price. According to a recent report, NVIDIA's AI server revenue increased by approximately 601 trillion units year-over-year.
What's noteworthy is not just the rise in stock prices, but also the expansion of investment across the industry. Companies are actively investing in AI-related hardware, building new data center facilities, and expanding their AI workforce. This is accelerating technological advancements and economic impact across the entire AI ecosystem.
Experts predict that the market trends illustrated by NVIDIA's case will continue. As AI technology becomes increasingly ingrained in our daily lives and across industries, both the related hardware and software markets are expected to continue growing. This provides important implications for both investors and technology professionals.
📌 엔비디아 관련 최신 뉴스와 재무 정보는 공식 사이트에서 확인할 수 있습니다:
NVIDIA official press release.
The next news item we'll explore is the impact of AI on scientific innovation. Through the example of MIT using AI to discover a new antibiotic, we'll explore how technology can contribute to human health and research.
4. Scientific Innovation – MIT Develops New Antibiotic Candidates Using AI
Recently, researchers at MIT successfully used AI to discover new antibiotic candidates. Traditional antibiotic development takes years or even decades and is extremely expensive, but AI can help researchers explore candidates much faster and more efficiently.
The research team trained an AI model on a vast database of compounds to predict previously unknown antibiotic candidates. The AI quickly identified compound structures likely to attack specific bacteria, ultimately leading to the discovery of candidates whose effectiveness was proven in real-world experiments.
The significance of this discovery goes beyond simply developing a single antibiotic. Leveraging AI will allow us to rapidly explore new drug candidates that can combat increasingly antibiotic-resistant superbugs, significantly reducing research costs and time.
Experts predict that the scientific innovation demonstrated by this MIT case will have a major impact on the entire medical field. AI is becoming a key tool for increasing research efficiency in diverse areas, including new drug development, disease diagnosis, personalized treatment, and genetic research.
📌 연구 원문과 자세한 결과는 MIT 공식 발표를 통해 확인할 수 있습니다:
MIT AI Antibiotic Research Announced.
In the next section, we'll explore how Tesla is restructuring its AI chip design and shifting its technology strategy.
5. Technology Strategy – Tesla Restructures AI Chip Design
Tesla has recently restructured its AI chip design to accelerate its development of autonomous driving and robotics. While previous AI chip designs focused on general-purpose computing, Tesla has now shifted its focus to maximizing computational efficiency specifically for autonomous driving and robotics.
Tesla's AI chip development team is focusing on designing custom neural network accelerators, in addition to GPUs, to accelerate real-time data processing within the vehicle and reduce power consumption. This could significantly improve the responsiveness and safety of autonomous vehicles.
Tesla is also restructuring its AI chip design. Own AI ecosystemWe are strengthening our capabilities. Using our own chips reduces our reliance on external supply chains and allows for more flexible expansion of the integrated platform between vehicles and robots.
Industry experts assess Tesla's strategy as a crucial strategic move beyond simply securing technological competitiveness to maintaining a leading position in the future mobility and robotics markets. In particular, AI chip design optimization is expected to have a direct impact on the future commercialization of autonomous driving and improved production efficiency.
📌 테슬라의 최신 기술 전략과 칩 설계 관련 공식 발표는 아래 링크에서 확인할 수 있습니다:
Tesla AI Chip Officially Announced.
Here's a summary of five AI-related news stories from this month. We've seen how AI is transforming the world across various fields, from policy and industry to markets, science, and technology strategy. We need to continue to pay attention to the changes AI will bring.
* TOP 6 Most Popular AI Chatbots as of 2025 – Market Share and Features – Go to the article
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