On Manus' "Exit": Rational Choices in AI Startups and Insights for Chinese Companies Going Global

Today, AI startup Manus announced it is relocating its headquarters to Singapore and conducting large-scale layoffs in Beijing, retaining only over 40 core technical staff who will move to Singapore. This decision has sparked intense debate within China's AI community, with some labeling it as "treasonous" and others viewing it as a rational business move. Beyond the noise of public opinion, we need a more objective analysis of the deeper reasons behind this event and its implications for Chinese AI entrepreneurs venturing overseas.

The relocation decision of the overseas AI startup Manus reflects the multiple challenges currently facing China's AI startup ecosystem. This AI company, which secured $75 million in funding from Benchmark, chose to move its headquarters to Singapore against a backdrop of tightening policies, driven by complex contextual factors and practical considerations.

1. Analysis of the Multiple Reasons Behind Manus's Departure from China

1.1 Capital and Funding Pressure: An Inevitable Choice Under Policy Barriers

From a capital perspective, Manus's relocation decision is grounded in undeniable practical considerations. Starting in 2025, the US will prohibit American capital from investing in China in related fields, including AI, chips, and quantum computing. Manus received $75 million in funding from Benchmark. In this policy environment, moving its headquarters out of China to Singapore became an inevitable choice.

This reflects the deeper reality of US-China technological decoupling. Against the backdrop of restricted access to AI training chips and escalating policy barriers, AI companies reliant on US dollar funding face severe compliance challenges. Foreign companies can compliantly utilize large models like Claude and GPT for commercial operations, while domestic companies encounter numerous restrictions.

1.2 Technical Environment Limitations: The Compliance Dilemma of Large Model APIs

Limitations at the technical level are equally significant. Manus's APIs primarily rely on foreign large models, which face difficulties in obtaining approval and filing within China. More critically, top-tier foreign models like Claude block access from Chinese regions, directly impacting product implementation and user experience.

These technical environment restrictions are not merely policy-related; they concern the accessibility of the entire AI ecosystem. When domestic AI entrepreneurs cannot compliantly use the most advanced large model tools, the space for technological innovation is inevitably compressed.

1.3 Market Payment Environment: The Realistic Challenge of Domestic User Willingness to Pay

From a market perspective, the payment habits of domestic users are another key factor. How many people in China are willing to pay $20 per month for ChatGPT? The answer is very few.

The number of paying users in China is limited, and market competition is fierce. In China's largely free AI market environment, competition has become a game of who can lose more money. Domestic users are generally unwilling to pay for AI services, while clients in Europe and the US often require service providers to be registered in regions like Singapore.

This disparity in payment environments affects not only revenue but also the sustainability of entire business models. In China's "free-first" market environment, it is difficult for AI products to establish a healthy commercial cycle.

1.4 Deteriorating International Relations: The Chain Reaction of US-China Confrontation

The deterioration of US-China relations is an undeniable macro-background. Amid the trend of decoupling in the tech sector, Chinese AI companies seeking international market recognition and investment face increasing political risks. Choosing Singapore as a headquarters is, to some extent, a hedge against this geopolitical risk.

2. A Rational View of Manus's Business Decision

2.1 The Primacy of Corporate Survival

We need to rationally recognize that a company's primary imperative is survival, especially for fast-paced AI Native companies. Manus's decision is fundamentally a business choice, not a political stance.

In contrast, DeepSeek's ability to focus on long-term development stems from the strong backing of quantitative funds, while Manus, needing to raise capital, must play by the rules of the funding game. This difference dictates the development paths of different companies.

2.2 Success and Controversy in Marketing Strategy

It is worth noting that Manus's success in marketing cannot be denied. Manus innovated marketing paradigms, similar to Cluely, and the PR efforts during that period indeed provided significant help for subsequent fundraising.

There is even a view that it had support from BlueFocus, explaining why such a small company generated overwhelming news coverage with every move. This marketing capability is itself a form of commercial value.

2.3 Skepticism and Defense Regarding Technical Capabilities

There are differing opinions in the market regarding Manus's technical capabilities. Some believe that actually using Manus reveals a poor experience, while others argue that Manus and Monica have achieved excellence in product experience.

Regardless, we cannot deny that Manus indeed has its unique strengths in product experience and user interface. Even for "wrapper" products, achieving excellence in user experience is a capability in itself.

3. Implications for Chinese AI Entrepreneurs Venturing Overseas

3.1 The Clear Advantage of Chinese Talent in the AI Field Remains

Despite Manus's choice to leave, this should not obscure the advantage of Chinese talent in the AI field. Chinese individuals are undoubtedly very competitive and hold significant advantages in AI.

From a technical talent perspective, Chinese engineers offer competitive cost-effectiveness and technical capabilities globally. Even in Singapore, the hires are essentially English-speaking Chinese nationals. The current competitive landscape in this field is essentially US-based Chinese vs. Singapore-based Chinese vs. China-based Chinese.

3.2 Challenges in the Domestic AI Startup Environment

Simultaneously, we must squarely face the challenges in China's AI startup environment:

Policy Restrictions: Policy barriers such as large model filing and API usage limitations. Market Environment: Low user willingness to pay, intense free competition. Technology Access: Inability to compliantly use the most advanced foreign large models. Funding Environment: Restricted access to US dollar funding, relative conservatism of RMB funds.

3.3 The Necessity and Strategy of Going Global

Based on these realistic challenges, for AI entrepreneurs aspiring to scale, going global is almost an inevitable choice:

Market Globalization: At a minimum, target markets should be overseas, especially the European and American markets with stronger payment willingness. Technology Globalization: Access better technical environments and tool support. Capital Globalization: Access more diverse sources of investment. Talent Globalization: If conditions allow, pursue an international layout for the core team.

3.4 Weighing Costs and Challenges

Of course, going global also faces significant costs and challenges:

Operational Costs: Overseas operational costs are significantly higher than domestic ones. Compliance Costs: Various visa and legal compliance requirements. Cultural Adaptation: Challenges in managing an international team. Technical Costs: Costs associated with overcoming technical restrictions like proxies and VPNs.

4. Deeper Reflection: Perfecting the Startup Ecosystem

4.1 The Scarcity of Excellent Entrepreneurs

The problem stems from the fact that the base of visible entrepreneurs is too small, but excellent entrepreneurs are not few; most lose their way while figuring out the path from zero to one.

This reflects a deeper issue: can our startup ecosystem effectively discover, nurture, and support excellent entrepreneurs?

4.2 Limitations of the Investment Environment

Domestic venture capital and state-owned investment cannot cover "everything." They can only see a part, such as those with prestigious labels from Tsinghua or Peking University, but entrepreneurship is unrelated to labels.

Furthermore, constrained by the macro-environment in recent years, domestic capital has flowed towards "national priorities" like chips in the "right" direction, while being less welcoming to agent-based startups like this.

These limitations in the investment environment lead to the obscurity of many excellent entrepreneurs and projects, indirectly pushing capable entrepreneurs to choose to go global.

4.3 The Importance of Ecosystem Building

To truly solve this problem, more than just policy adjustments are needed; it requires the improvement of the entire startup ecosystem:

Diversified Funding Sources: Not just reliance on traditional VCs, but more diverse early-stage investment. More Open Technical Environment: Provide better technical tool support under compliant premises. More Mature Paying Market: Cultivate user payment habits and awareness. More Inclusive Startup Culture: Encourage innovation and tolerate failure.

5. Conclusion: A Rational View and Proactive Response

The event of Manus leaving China should neither be overly politicized nor simply viewed as a business decision. It reflects the complex realities currently faced in the AI startup field:

The Inevitability of Global Competition: In a globalized field like AI, companies must allocate resources on a global scale.
The Importance of Policy Environment: Policy restrictions indeed influence a company's development path choices.
The Decisive Role of Market Environment: Payment environments and user habits directly impact the feasibility of business models.
The Persistence of Talent Advantage: The advantage of Chinese engineers in the AI field remains evident.

For domestic AI entrepreneurs, what's important is:

Maintaining Rationality: Objectively analyze market environments and policy restrictions to make decisions most beneficial for the company's development. Proactive Response: Under existing conditions, find the optimal development path, including necessary globalization strategies. Long-term Planning: Establish sustainable business models, not relying solely on a single market or policy environment. Continuous Innovation: Build genuine competitive advantages through technological and product innovation.

Ultimately, we hope to see a more open, inclusive, and vibrant AI startup ecosystem, where excellent entrepreneurs and projects can thrive in this land while also showcasing the strength of Chinese AI in the global market.

Manus's departure might be a loss, but it should more importantly serve as an opportunity for our reflection and improvement. Only by facing problems squarely can we truly solve them. Only by building a better startup ecosystem can we retain more excellent companies and secure a more favorable position in the global AI competition.

This article aims to provide a multi-faceted, rational analysis, exploring the real-world challenges and development opportunities in the AI startup field.

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References

Manus (AI agent) — Wikipedia — Background entry on Manus and its development company Butterfly Effect, including the relocation of its headquarters to Singapore, the process of disbanding its China team, and the subsequent timeline.