In this era profoundly reshaped by AI, whoever can truly understand the logic behind the technology, capture the turning points in the industry, and grasp the rhythm of investment, will be able to stand at a higher starting point in the next cycle.

To help more investors and researchers focused on the AI track to rapidly enhance their understanding and practical abilities, the TGG Stablecoin and RWA Innovation Center of the Hong Kong Polytechnic University School of Business Administration is hosting the "AI Investment Research Elite Incubation Programme" in collaboration with Uweb Business School and Techub News, along with numerous institutions, to publicly recruit the first batch of participants globally.

From August to September 2026, the program will cultivate a group of "next-generation AI investment research elites" with mature investment research methodologies, practical application of AI, continuous influence, and commercial potential over 8 weeks through course guidance, project feedback, tool practice, and project iteration.

A talent incubation born for investment research

This 8-week incubator is designed specifically for AI investment research scenarios. The course revolves around four capability areas: investment research, AI and products, content influence, and commercialization, with course learning, project co-creation, and stage deliverables completed within the 8 weeks.

The core of the program focuses on three key questions:

• How to understand the logic of AI technology and industry development with the correct framework;
• How to perform value identification amidst a plethora of projects and narratives, forming actionable investment research conclusions;
• How to integrate tools like large models and agents into daily investment research processes, establishing manual review and fact-checking mechanisms.

Instructors will conduct case analysis, project feedback, and iteration guidance based on real market projects and industry tracks. Participants will form their own AI investment research workflows and output systems through continuous practice and reflection.

8 weeks of comprehensive courses covering key aspects of AI investment research

The 8-week incubator consists of 8 themed courses, supplemented by project co-creation classes, project practice, and summit presentations.

The course is divided into four capability blocks:

• Using content output to create influence, building the framework of investment research methodologies, utilizing AI tools to produce professional investment research solutions, and validating commercialization of solutions.

In the 4th week, an AI investment research trend summit will be held on the campus of the Hong Kong Polytechnic University, and during the closing phase, outstanding projects will be selected to compete for awards and inclusion in the results handbook.

Six major benefits of joining: A comprehensive upgrade from cognition to tools

The 8-week incubator translates each learning content into concrete tasks and deliverables, and participants will achieve six core results:

1. Clarifying personal positioning and launching a content account
   Completing a personal positioning card, target audience profile, and initial topic library, establishing a sustainable content production rhythm.
2. Forming AI investment research product planning
   Based on real users and investment research scenarios, completing a product plan document, functional framework, and technology and data roadmap.
3. Building an operational AI investment research workflow
   Completing the information collection, cleaning, verification, and analysis links, forming solution prototype 1.0, and establishing a manual review mechanism.
4. Completing US stock and multi-asset research practice
   Using fundamental, industry, and valuation frameworks to complete US stock cases and transferring research methods to validate multi-asset comprehensively.
5. Establishing content growth and user verification mechanisms
   Reviewing the publishing data of Xiaohongshu and X, distilling replicable content models, and using content feedback to drive product iteration.
6. Completing commercialization expression and summit presentation
   Sorting out business models, financing logic, and value propositions, forming lightweight commercialization explanations, BP frameworks, and presentation materials.

Each result corresponds to weekly tasks, project practice, and stage presentations, facilitating participants to verify progress and continuously iterate.

Mentors and co-creation mechanisms: Continuous iteration around results

The incubator combines themed courses, project co-creation classes, and project practice. Instructors and guests will provide case disassembly, result feedback, and iteration suggestions around the week’s tasks.

The training mechanism includes:

• Themed courses: Each week focused on the current capability goals and result nodes, with a total of 8 sessions;
• Project co-creation classes: Concentrated feedback on participants' content and solution progress, discussing specific issues and determining the direction for the next iteration;
• Project practice and summit presentation: Participants independently complete content production, product construction, and user verification, showcasing their results in the 4th and 8th weeks.

All feedback centers around verifiable outcomes, including topic libraries, product planning, workflow prototypes, research cases, BP frameworks, and summit materials.

Enrollment requirements: Designed for those with "a foundation and potential"

To ensure course progress and co-creation quality, the 8-week incubator is open to investment research practitioners and researchers who have a certain practical foundation and are willing to continuously invest.

The following groups are more suitable for enrollment:

• Have some experience using large models, familiar with basic interaction methods of tools like ChatGPT, Claude, and Gemini, and have attempted application in work or research scenarios;
• Have ongoing interest in at least one relevant field such as cryptocurrency, stocks, funds, AI industry, or RWA, with experience reading research reports, writing analyses, or participating in project discussions;
• Have their own judgments or thoughts on the direction of AI development and are willing to transform "curiosity" into systematic learning and output results;
• Possess a certain level of written expression ability, capable of completing structured analysis and writing, participating in output of research reports, case disassembly, and project memorandums in subsequent courses;
• Willing to experiment with integrating new tools like AI Agents into their workflows, maintaining an open attitude towards innovation in work methods.

In other words, if you have already started using AI tools for some analysis and writing but still feel "there is no systematic approach formed," "want to improve the professionalism of outcomes," or "hope to gain validation in real scenarios," then this incubation program is tailor-made for you as a stepping stone for advancement.

Enrollment process and timeline

The enrollment and learning arrangement are as follows:

• Intent submission: Submit personal basic information and learning motivation through the event registration form or designated channels, explaining current research fields and tool usage.
• Qualification screening interview: The organizer will conduct initial screening based on registration information through online interview, focusing on learning willingness, practical foundation, and growth potential to ensure a professional and efficient course environment.
• Entry confirmation: Participants who pass the screening will receive entry confirmation information and detailed schedule arrangements by the end of July, and will join a dedicated community for pre-heating information and resource sharing.
• Official start: The program will officially start in August 2026, with continuous courses, discussions, and project practices for 8 weeks, mainly conducted online, with offline exchange activities arranged as appropriate.
• Results presentation: At the project's conclusion, participants will have the opportunity to present research results and conduct simulated roadshows, with excellent outcomes potentially getting public exposure from platforms and partners.

The "AI Investment Research Elite Incubation Programme" is a public incubation project, and the 8-week incubator is free for selected participants throughout the entire process. The organizer hopes to establish a platform for long-term communication, collaboration, and co-creation of results.

Why now? Why you?

AI is reshaping both research subjects and methods simultaneously. Investment researchers need to handle more data, verify more complex technical information, and make quicker judgments regarding product progress and market changes.

The current most direct skill requirements are threefold:

• Understanding technology, industry, and business models, and judging the real progress of projects;
• Organizing data sources, AI tools, and manual reviews into a stable research process;
• Using a cross-asset research framework to identify risk boundaries and clearly articulate the basis for conclusions.

This is precisely the combination of capabilities that the "AI Investment Research Elite Incubation Programme" aims to help participants build.

If you have already felt the impact of AI on the investment world yet have not found a clear and reliable growth path; if you are on the front line of investment research and wish to draw more convincing research conclusions using advanced methods; if you believe that the core competitive advantage of the next generation of investment researchers must come from a deep understanding and flexible application of AI—then now is the best time to join this incubation.

All you need to do is take a step: submit your enrollment information, join this two-month systematic incubator, and transform your interest and anxiety about AI into measurable results and sustainable abilities.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。