Wealth Native AI ushers in a new era of wealth creation.
In recent years, AI technology has shifted from a background technology to a fundamental infrastructure component across many industries. The area experiencing the most significant and profound transformation is the financial and investment industry. Many CEOs of Thai banks, as well as several global CEOs, have declared their vision, emphasizing that AI is now a crucial infrastructure for businesses. This intense drive has led to a concept gaining international attention: AI. ""Wealth Native AI"
“Wealth Native AI” This refers to AI designed for the end-to-end wealth creation process, from understanding the user's financial status and setting life goals to designing investment strategies, portfolio adjustments, and continuous long-term strategic decision-making. It's a system that helps us live our financial lives more efficiently. This concept raises a new question for the financial world: if AI becomes the core and begins to play a role in some decision-making processes, what form will wealth take?
Although this concept is still in its development, a look at global players reveals that elements of Wealth Native AI are already present. Large asset management companies like BlackRock utilize AI and risk analysis platforms to manage their global portfolios, while banks like JPMorgan Chase and Morgan Stanley have incorporated AI as a primary assistant for their financial advisors in analyzing client data and making investment recommendations.
On the fund management side, companies like Two Sigma exemplify the use of machine learning in real-world organizational investment decision-making, while robo-advisor platforms like Betterment and Wealthfront have made automated portfolio management accessible to the average investor.
AI will play a more significant role in decision-making by 2026.
A report from McKinsey on the topic... "US Wealth Management in 2035: A Transformative Decade Begins" In January 2026, it was indicated that the period from 2025-2026 would mark the beginning of a decade of transformation, focusing on the Agentic Age, or the entry into the era of AI-powered representation. AI would shift from being a tool for automating tasks to becoming an agent with the authority to make decisions, provide reasoning, offer advice, and even act on behalf of investors or advisors, such as automatically adjusting portfolios within the framework of a trusteeship.
By 2035, over $84 trillion in assets will be passed on to the next generation, who are more likely to seek investment advice from AI and social media than traditional financial institutions. Therefore, future wealth management services may not be built on personal relationships, but on trust in algorithms.
Meanwhile, hyper-personalization services, previously exclusive to the wealthy, will be streamlined into digital services accessible to the middle class. AI will help reduce the cost of designing personalized portfolios, allowing for scalability to a larger audience. This includes analyzing individual behavioral data, income, life goals, and risk profiles, then generating continuously adaptive, real-time recommendations.
According to a report from the management consulting firm Oliver Wyman, the topic is... "10 Wealth Management Trends Shaping 2026" We believe AI will transform the way wealth is built and the financial infrastructure, particularly in creating what is called... "The Unified Client Brain This is an AI-powered central brain system that gathers all customer information from various previously scattered sources and connects them so that the AI can understand that customer in a 360-degree way. This allows it to offer sales proposals or adjust financial plans at the right time in real-time.
Furthermore, it is estimated that wealth creation will come from a new form of cash management (tokenized cash), where the money in the account is not a static figure but must generate returns until the moment it is spent. AI will select the most worthwhile assets to invest in, considering market price and taxes, and use those returns to pay for investments instead of cash.
Oliver Wyman's report also looks at the emergence of what is called... "Embedded Wealth This means that wealth creation channels will permeate everywhere, such as in company payroll systems, e-commerce websites, and various super-apps. AI will tell users, "Which stock sector should I invest in with the change from this transaction?" Users don't need to open a separate investment app; they can do it directly there.
Both reports reflect a world of finance and investment where AI is not just a tool, but the infrastructure for wealth creation. This is the core of Wealth Native AI, rather than being a tool that guarantees success in increasing returns.
However, while the future looks promising, the market is currently in a transitional phase. Most systems remain a combination of human and AI, with AI contributing to speed, accuracy, and consistency, while humans still play a role in governance, goal setting, and decision-making in complex contexts.
The application of AI in investing has yielded clear improvements, such as providing a clearer multi-dimensional picture, reducing behavioral bias, enhancing the quality of analysis, and leading to more consistent decision-making. A study from the CFA Institute indicates that a major reason why average investors underperform the market is not a lack of information, but rather emotionally driven and ill-timed decisions—an area where AI can significantly help.
Wealth Native AI is not a shortcut to wealth.
Having Wealth Native AI doesn't guarantee higher returns automatically, nor does it replace all human decision-making. In fact, we might not even want to let AI operate automatically without expert supervision, as Wealth Native AI comes with risks and concerns that cannot be ignored, such as:
- risk model Or an error in the model. AI that may occur simultaneously.If many AIs are trained with similar data or assumptions, when an unprecedented event occurs, such as a financial or capital market crisis or a pandemic, these AIs may make the same incorrect decisions, creating widespread impact.
- The lack of transparency in the model. AI: Especially in complex systems like deep learning, where it's difficult to explain the reasoning behind decisions, in a world concerned with money and financial security, the lack of user understanding of how AI makes decisions can become a structural risk. For example, AI might tell you to sell all your assets without you knowing why.
- About Optimization was good in the past, but it will fail in the future.: AI is very adept at adapting strategies, but the concern is that its adaptations are often too heavily reliant on historical data, potentially failing to cope with a changing future. This problem is prevalent in many fund companies that have excellent historical performance but cannot maintain that efficiency in real-world situations.
Furthermore, there are also behavioral risks associated with humans. While AI can analyze and make rational recommendations, users still hold the final say, and people retain emotions, fears, and psychological limitations that even Wealth Native AI cannot completely overcome.
At global forums like the World Economic Forum, questions have been raised about regulatory and accountability issues. For example, if AI makes a wrong decision, who should be held responsible, and how can systemic risk be controlled? Looking at the bigger picture, Wealth-Native AI can simultaneously accelerate success and increase risk.
And as AI becomes accessible to everyone, what separates winners from losers won't just be access to information or cutting-edge technology, but the ability to ask questions, maintain investment discipline, take a long-term view, and understand oneself as an investor. Because ultimately, even though AI can analyze data better, humans will still be the ones bearing the brunt of the consequences of its decisions.
Therefore, the advantage doesn't depend on "who has AI?" but on "who uses AI better?"
Here are 5 things everyone should do starting today to begin building or maintaining their wealth, along with learning the fundamentals of finance and investment. Because the one who will gain the advantage is not the one with the deepest knowledge of AI, but the one who "uses AI skillfully and in alignment with their own goals."
Awaken your AI-powered finance and investment skills, and prepare yourself to seize the opportunity. "Opportunity to create wealth" At the event "Financial Fair" Money Expo 2026" date May 7–10, 2569 at Challenger Hall 1–2, IMPACT Muang Thong Thani. Under the theme “AI Wealth Creation” The only event that brings together all the answers to building wealth. Featuring intensive seminars from leading national speakers that will help you understand AI in practical ways, along with new financial products and investment innovations that will transform your thinking and elevate your investment journey to the next level.
refer : www.mckinsey.com , www.oliverwyman.com , rpc.cfainstitute.org
