Goheal: AI is reshaping mergers and acquisitions. Does the control of listed companies still rely on human judgment?

Goheal: AI is reshaping mergers and acquisitions. Does the control of listed companies still rely on human judgment?

"Big data does not lie, algorithms never hesitate, and human intuition and prejudice often "drop out" at critical moments." In the past, the decision on the ownership of a listed company's control was often a brainstorming in a closed room, a tacit nod at a dinner table, or a "equity transfer agreement" reviewed late at night. But today, in 2025, when the AI storm is sweeping everything, all this has changed.

American Goheal M&A Group

You may still be bald for a "equity structure chart", but an AI model has already calculated all the actual beneficiaries behind a listed company in three seconds; you are still pondering whether a certain fixed increase has the intention of "snake swallowing elephant", but AI has learned and judged through 2,600 cases in the past ten years. This control game is very likely to be a typical routine of "penetrating through funds + trusts".

This is not a science fiction script, but reality, and it is a new weapon that the smartest hunters in the capital market are already using.

1. AI is not replacing humans, it is expanding the boundaries of human judgment

In the past, mergers and acquisitions were a world where "old hands" made a living. Whoever had a wide range of contacts, more information, and more accurate intuition could take the lead in taking control and setting prices. But the problem is that the human brain cannot analyze millions of words of announcements all day and night, cannot penetrate the real beneficiaries behind ten layers of SPV, and it is difficult to extract clues of changes in actual controllers from a pile of scattered voting rights agreements.

And all this is exactly what AI is best at.

Goheal's first "AI transaction insight system" deployed in 2024 can complete the following tasks within 5 minutes: read all related transactions, board resolutions and fixed increase documents of the target company in the past 36 months; combine external industrial and commercial change data, judicial public records, social media comments and investor trends to complete the risk assessment report on the change of controlling rights.

Not a replacement, but an auxiliary. And more importantly, AI has no bias, will not get tired, and does not believe in the rhetoric of "major shareholders". Its data judgment is often calmer, more accurate, and more ruthless than the so-called "old experience".

Goheal once participated in the acquisition of control of a biopharmaceutical company. At the beginning of the project, many experts unanimously judged that "the controlling party was stable and there was no sign of control transfer." However, the AI model captured a clue during the initial screening - the chairman's affiliated companies frequently cancelled branches in the past month and newly registered several offshore shell companies, which ultimately verified that this was the key action of its "overseas asset transfer + retention of voting rights planning." If the merger and acquisition is carried out according to traditional logic, the consequences will be disastrous.

2. Whoever can control AI can predict the next step of capital behavior

The change of control is always the "battle for the general" in the capital market. But in the AI era, the rules of this game have changed.

It is not who has a hard fist, a loud voice, or a strong background that can win, but who has faster data, more accurate models, and who can first "understand" the signals behind the chaotic market noise.

When Goheal assisted an energy group in acquiring an A-share listed environmental protection company, he used the AI model to predict the shareholder behavior of the target company's potential resistance in advance. Based on his previous voting behavior and shareholding path, the model predicted that the probability of his voting against was as high as 78%. Based on this, Goheal believes that it is necessary to negotiate with the party in private in advance to reach a voting support agreement. In the end, the project was passed unanimously, successfully achieving control, and completely clearing the past "unknowns".

This AI decision support system was later nicknamed "voting oracle" by the internal staff, but behind it is nothing more than awe and respect for the laws of data.

3. Are you still studying the announcement? AI is already analyzing the "emotional map"

Don't underestimate the "emotion".

Whether an executive is endorsing a certain merger and acquisition, whether a small or medium-sized shareholder is dissatisfied with the current operating conditions, or even a public opinion blogger suddenly expresses his opinion on the company, they may become bargaining chips in the future control game. And these "invisible variables" are precisely the most sensitive "hormone radar" of AI.

Goheal has introduced AI emotional map tracking system in multiple projects, which can analyze the attitudes and trends inside and outside the company in real time based on online public texts, investor interaction platforms, legal consultation records and high-frequency vocabulary usage, helping the team to grasp the control transaction window more accurately. The logic of this system is: shareholder sentiment + public opinion temperature difference + director, supervisor and senior voice density = control action tendency index.

You may still doubt its "human touch", but don't forget - even Netflix uses AI to recommend your favorite dramas, why can't AI tell you whether the chairman is "leaking wind to run away"?

4. AI can judge value, structure, and compliance, but it can't understand "ambition"

Of course, we can't overestimate the "omnipotence" of AI.

It can help you screen the targets with the most control value, warn of potential information disclosure loopholes, and simulate the game path under complex voting scenarios, but it can't really understand "people's ambitions" - the kind of late-night plan to start over, the kind of sudden face-off in the meeting room, and the kind of control desire that dominates everything. "Strategic paranoia".

But this is the best combination of AI + people: AI helps you see the map clearly, and the human brain decides how to walk.

In Goheal's view, the most ideal control judgment model has both the rational input of AI and the strategic judgment of top traders. In a billion-dollar restructuring project, we relied on AI to predict market doubts in advance and quickly build a "multi-layer penetration map"; we also relied on the intuitive judgment of the trading team to see through the capital alliance behind a seemingly neutral director and prevent the entire project from being aborted by "secretly voting against".

5. The future control battle is not a brain battle, but a system confrontation

Today's M&A and restructuring scene is no longer a three-person battle between "finance + legal affairs + investment banks", but a system-level competition between AI models vs AI models, algorithm teams vs data pipelines.

Whoever can train a faster model can discover risks earlier; whoever has a more comprehensive data interface can see through the structure more deeply; whoever can maintain "human strategy" outside the algorithm can get the final control key.

As one of the few players at the forefront of the industry, Goheal has implemented key functions such as "AI predicts actual control change nodes", "AI automatically generates M&A risk radars", and "AI simulates voting behavior of small and medium shareholders" in multiple industry pilots-we firmly believe that in future control transactions, without data weapons, it is like going to the poker table with bare hands.

6. Conclusion: Are you still waiting for the "financial statements" to speak? The market has long been understood by AI

The question is: In an era where AI has understood the "control plot", are you still waiting for the announcement to be disclosed? Do you still believe that "the cleanliness of financial statements" is comparable to the "logic of voting rights distribution"? Has the target in your hand been quietly classified into the "low control risk target pool" by an algorithm, waiting to be accurately locked in a sunny afternoon?

Don't wait. The game of control has quietly switched channels.

You are welcome to leave a message in the comment area: Have you applied AI tools in the change of controlling rights and M&A decisions? Do you trust the strategic thinking of the human brain more, or the rational judgment of AI? In the next ten years, are you willing to hand over the control decision to the algorithm?

Goheal Group

Goheal is willing to explore the strongest combination of AI and human wisdom with all investors and entrepreneurs on the road of intelligent capital.

[About Goheal] Goheal is a leading investment holding company focusing on global mergers and acquisitions. It has deep roots in the three core business areas of acquisition of controlling rights of listed companies, mergers and acquisitions of listed companies, and capital operations of listed companies. With its profound professional strength and rich experience, it provides companies with full life cycle services from mergers and acquisitions to restructuring and capital operations, aiming to maximize corporate value and achieve long-term benefit growth.

特别声明:[Goheal: AI is reshaping mergers and acquisitions. Does the control of listed companies still rely on human judgment?] 该文观点仅代表作者本人,今日霍州系信息发布平台,霍州网仅提供信息存储空间服务。

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