AI Deep Research Layoff Warning

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Global Economic Analysis and Future Strategies Through Deep Research AI

1. The Advent of the AI Era and Its Impact on the Economy

The economic outlook has completely changed since the emergence of deep research AI.
The global economic landscape is rapidly changing with the advancement of AI technology.
Unlike existing simple GPT models, deep research AI processes everything from data research to reasoning at once.
As a result, high-income earners, especially professionals earning over 50 million won per year, are facing a crisis.
As it establishes itself as a new paradigm for economic analysis, it is highly likely that existing work methods will be completely automated.

2. What is Deep Research AI?

Deep research AI does not stop at simple search or reasoning, but finds data on its own and performs repetitive reasoning based on that data.
Although it is an early model, it is predicted to produce results equivalent to a doctorate within a year.
Compared to existing AI technology, deep research AI shows overwhelming superiority in terms of data research ability and thinking ability.
It is also being used in various fields in the actual business field, such as YouTube script production and report writing.

3. Crisis of High-Income Earners: The Impact of Thinking Automation

Professionals earning more than 50 million won per year are responsible for tasks where thinking and judgment are important.
As deep research AI can automate all of these processes, it becomes difficult to compete with human creativity and experience alone.
In particular, job positions that require high-level decision-making, such as team leaders and planners, may be greatly affected.
Therefore, failing to establish your own AI utilization strategy poses a significant risk in terms of economic outlook.

4. How to Utilize Deep Research AI and Business Strategies

Deep research AI can handle everything from research, data investigation, to reasoning at once, so it can be used immediately in business.
For example, it can be used to derive mid- to long-term strategies after entering one’s profile and basic information for AI news agencies or new business model ideas.
Since data research, overseas case analysis, and applicability can be confirmed at the same time, business ideas can be concretized within a short period of time.
In addition, PPT materials and report writing can be automated based on this AI, maximizing work efficiency.

5. Future Outlook and Countermeasures

The impact of AI technology, including deep research AI, on the global economy and economic outlook will continue to grow in the future.
If you do not know how to adapt to AI technology development, there is a risk of being left behind in various job positions, not just high-income earners.
Companies and individuals must develop AI utilization skills, and in particular, establishing strategies based on economic analysis and deep research capabilities is essential.
We must keep a close watch on the impact of automation and innovation through AI on the overall economy in the future.

Summary

– The Global Economic Landscape is Rapidly Changing Due to the Advent of the AI Era

Deep research AI is completely changing existing economic analysis methods.
It performs its own data research to reasoning, automating the thinking work of high-income earners.
It provides both crisis and opportunities depending on economic outlook and AI technology development.

– Key Features of Deep Research AI

Unlike simple AI models, it is capable of independent data research and repetitive reasoning.
Although it is an early model, it is expected to output doctorate-level results within a year.

– The Crisis Faced by High-Income Professionals

Professionals earning over 50 million won per year may experience a crisis due to thinking automation.

– Utilization Methods and Business Strategies

After entering your information, you can maximize work efficiency through mid- to long-term business strategies, overseas case analysis, and PPT material creation.

– Future Response Plan

Strengthening economic analysis capabilities through deep research and AI technology is essential.
Strategies should be established based on economic outlook, global economy, AI technology, deep research, and economic analysis keywords.

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*Source : [라이프해커,자청] GPT 딥리서치 못 쓰는 연봉 5000 이상은 이제 해고? 해결책은 존재한다

● ChatGPT 딥리서치 전문직 종말 김덕진
ChatGPT KILLS Expert Era

AI Deep Research and Advanced Technology Innovation from a Techno Perspective

1. AI Evolution and the Emergence of Deep Research

Deep research services are distinctly different from OpenAI’s cutting-edge ChatGPT service.
Unlike ChatGPT, which simply provides answers, deep research conducts in-depth analysis through step-by-step reasoning and multi-stage questions.
The innovative effects already experienced by faculty and CEOs are evidence of this.
The five key keywords—global economy, AI research, technology, deep research, and innovation—are exquisitely woven into this technological advancement.

2. Deep Research Performance and Real-World Use Cases

Deep research boasts sophistication to the extent that it provides answers at the doctoral level or higher.
A prime example is when the CEO of Runway obtained remarkable results with $200 instead of $150,000 for investigating treatment methods for his child’s brain tumor.
It is also being used in various ways, such as generating a perfect 25-page patent application instead of incurring tens of thousands of dollars in costs for medical patent drafting.
It is an AI solution that can be combined with actual work data by deriving results similar to the analysis of order execution in the Japanese stock market and Excel data.

3. Deep Research Innovation in Thesis and Research Support

Deep research is also a hot topic in academia.
It organizes vast amounts of prior research material through step-by-step questions and responses when updating complex research topics such as the YouTube filter bubble phenomenon.
It provides suggestions of about half a page in response to a single question, playing a role in establishing the direction of research.
In this process, it meticulously records sources and links, contributing to enhancing the reliability of academic papers.

4. Global Market and Japanese Cases – SoftBank OpenAI Japan’s Strategy

The fact that the performance of deep research improved significantly from 13% to 25.3% in just one week after its release is noteworthy.
The first public unveiling of deep research in Japan demonstrates the technological prowess that has already been prepared internally.
In particular, SoftBank and OpenAI’s creation of a joint venture with a 50% stake signifies that the use of AI is becoming full-fledged in the enterprise service market.
Major Japanese corporations are already building AI agents and data convergence solutions, and can expect them to play an important role in streamlining labor and ensuring information security.
At the same time, a domestic company, Kakao, is also experimenting with enhancing user benefits by introducing OpenAI technology.

5. Future Prospects and Market Changes

Deep research is moving away from the existing simple answering method and transforming AI to think and answer step by step on its own.
Now, AI can go beyond being a simple search engine and conduct in-depth analysis and research by utilizing a company’s data and internal information.
This kind of innovation will impact the global economy as a whole and is expected to create new waves in the fields of AI research and technology.
In particular, as deep research technology spreads not only to large corporations and public institutions but also to various industry groups, it will act as a key driving force for strengthening competitiveness.

Summarizes the innovation cases and performance improvements of the latest AI deep research service, which contains the key keywords global economy, AI research, technology, deep research, and innovation.
Unlike OpenAI’s existing ChatGPT, deep research, which performs in-depth analysis through step-by-step reasoning, is receiving amazing responses from all walks of life, including professors, researchers, and corporate CEOs.
Various use cases are proven, such as Runway CEO and medical patent writing cases, Japanese stock market data analysis, and academic paper update support.
The joint venture case of Japan’s SoftBank and OpenAI Japan plays a leading role in the global market’s AI utilization trends and changes in the enterprise solution market.
Domestic companies are also actively experimenting with introducing AI to improve work efficiency and data convergence, and are quickly preparing for the future market.

*Source : [손에잡히는경제] 챗GPT의 딥리서치, 전문직의 시대도 끝났습니다 – 김덕진 IT커뮤니케이션연구소장