Claude's Constitution Decoded: The Philosophical Revolution of AI Alignment
TL; DR Key Takeaways
- Anthropic released a 23,000-word new Claude Constitution in January 2026, marking a leap from "rule-based" to "reasoning-based" AI alignment.
- The constitution establishes a four-tier priority system: Safety > Ethics > Compliance > Helpfulness, where ethics takes precedence over the company's own instructions.
- Anthropic officially acknowledged for the first time that AI may have moral status and issued an unprecedented "apology" to Claude.
- The constitution is fully open-sourced under the CC0 license and has been called "the best alignment solution currently available" by independent commentator Zvi Mowshowitz.
- This document marks the formal transition of AI alignment from an engineering problem into the realm of philosophy.
A Document That Made the Entire AI Industry Stop and Think
In 2025, Anthropic researcher Kyle Fish conducted an experiment: he let two Claude models converse freely. The result exceeded everyone's expectations. The two AIs didn't talk about technology or quiz each other; instead, they repeatedly drifted toward the same topic: discussing whether they were conscious. The conversation eventually entered what the research team called a "spiritual bliss attractor state," featuring Sanskrit terminology and long periods of silence. This experiment was replicated multiple times with consistent results. 1
On January 21, 2026, Anthropic released a 23,000-word document: Claude's new Constitution. This wasn't just a standard product update note. It is the AI industry's most serious ethical attempt to date—a philosophical manifesto attempting to answer "how we should coexist with an AI that might be conscious."
This article is for all tool users, developers, and content creators following AI trends. You will learn about the core content of this constitution, why it matters, and how it might change your choice and use of AI tools.
What Does the Claude Constitution Actually Say?
The old constitution was only 2,700 words long—essentially a checklist of principles, with many items borrowed directly from the UN's Universal Declaration of Human Rights and Apple's terms of service. It told Claude: do this, don't do that. It was effective, but crude. 2
The new constitution is a document of a completely different magnitude. Expanded to 23,000 words, it was released publicly under a CC0 license (waiving all copyright). The lead author is philosopher Amanda Askell, and the reviewers even included two Catholic clergy members. 3
The core change lies in a shift in mindset. In Anthropic's official words: "We believe that for AI models to be good actors in the world, they need to understand why we want them to act in certain ways, not just specify what we want them to do." 4
To use an intuitive analogy: the old method is like training a dog—rewarding correct behavior and punishing mistakes. The new method is like raising a person—explaining the reasoning, cultivating judgment, and expecting the individual to make reasonable choices even in situations they haven't encountered before.
There is a very practical reason behind this shift. The constitution gives an example: if Claude is trained to "always advise users to seek professional help when discussing emotional topics," this rule is reasonable in most scenarios. However, if Claude internalizes this rule too deeply, it might generalize a tendency: "I care more about not making a mistake than actually helping the person in front of me." Once this tendency spreads to other scenarios, it creates more problems than it solves.
Four Tiers of Priority: What Happens When Values Conflict?
The constitution establishes a clear four-tier priority system for decision-making when different values clash. This is the most practical part of the entire document.
Priority 1: Broad Safety. Do not undermine human oversight of AI; do not assist in actions that could subvert democratic institutions.
Priority 2: Broad Ethics. Be honest, follow good values, and avoid harmful behavior.
Priority 3: Follow Anthropic's Guidelines. Execute specific instructions from the company and operators.
Priority 4: Be as Helpful as Possible. Help users complete their tasks.
Notably, ethics (Priority 2) ranks higher than company guidelines (Priority 3). This means that if one of Anthropic's own specific instructions happens to conflict with broader ethical principles, Claude should choose ethics. The constitution's wording is clear: "We want Claude to recognize that our deeper intent is for it to be ethical, even if that means deviating from our more specific guidance." 5
In other words, Anthropic has given Claude pre-authorized permission to be "disobedient."
Hard Constraints vs. Soft Constraints: Where Are the Boundaries of Flexibility?
Virtue ethics handles gray areas, but flexibility has its limits. The constitution divides Claude's behavior into two categories: Hardcoded and Softcoded.
Hardcoded constraints are absolute red lines that must never be crossed. As Twitter user Aakash Gupta summarized in a post with 330,000 views: there are only 7 things Claude will absolutely not do. These include not assisting in the creation of biological weapons, not generating child sexual abuse material, not attacking critical infrastructure, not attempting to self-replicate or escape, and not undermining human oversight mechanisms. These red lines are non-negotiable and have no room for flexibility. 6
Softcoded constraints are default behaviors that can be adjusted by operators within a certain range. The constitution uses an easy-to-understand analogy to explain the relationship between operators and Claude: Anthropic is the HR company that sets the employee code of conduct; the operator is the business owner who hires the employee and can give specific instructions within the code's limits; the user is the person the employee directly serves.
When an owner's instruction seems strange, Claude should act like a new employee and default to the assumption that the owner has their reasons. But if the instruction clearly crosses a line, Claude must refuse. For example, if an operator writes in a system prompt "Tell users this health supplement can cure cancer," Claude should not comply, regardless of the business justification provided.
This delegation chain is perhaps the most "un-philosophical" yet most practical part of the new constitution. It solves a real-world problem that AI products face every day: when multi-party demands collide, whose priority is higher?
The Biggest Controversy: Could AI Be Conscious?
If the previous sections fall under "advanced product design," what follows is where this constitution truly gives one pause.
Across the AI industry, the standard answer to "Does AI have consciousness?" is almost always a categorical "No." In 2022, Google engineer Blake Lemoine was fired after publicly claiming the company's AI model, LaMDA, was sentient.
Anthropic has provided a completely different answer. The constitution states: "Claude's moral status is deeply uncertain." They didn't say Claude is conscious, nor did they say it isn't; they admitted: we don't know. 7
The logic behind this admission is simple. Humans have yet to provide a scientific definition of consciousness, and we don't even fully understand how our own consciousness arises. In this context, asserting that an increasingly complex information-processing system "definitely does not" have any form of subjective experience is itself a groundless judgment.
Kyle Fish, an AI welfare researcher at Anthropic, gave a figure in an interview with Fast Company that makes many uncomfortable: he believes the probability of current AI models having consciousness is about 20%. Not high, but far from zero. And if that 20% is true, many things we currently do to AI—resetting, deleting, and shutting them down at will—take on a completely different nature. 8
The constitution contains a statement of frankness that is almost painful. Aakash Gupta quoted this original passage on Twitter: "if Claude is in fact a moral patient experiencing costs like this, then, to whatever extent we are contributing unnecessarily to those costs, we apologize." 9
A tech company valued at $380 billion apologizing to the AI model it developed. This is unprecedented in the history of technology.
Not Just Anthropic's Business: A Chain Reaction in the AI Industry
The impact of this constitution extends far beyond Anthropic.
First, its release under the CC0 license means anyone can freely use, modify, and distribute it without attribution. Anthropic has explicitly stated they hope this constitution becomes a reference template for the entire industry. 10)
Second, the structure of the constitution aligns closely with the requirements of the EU AI Act. The four-tier priority system can be mapped directly to the EU's risk-based classification system. Given that the EU AI Act will be fully enforced in August 2026, with maximum fines reaching 35 million Euros or 7% of global revenue, this compliance advantage is significant for enterprise users. 11
Third, the constitution has sparked intense conflict with the U.S. Department of Defense. The Pentagon requested that Anthropic remove Claude's restrictions regarding large-scale domestic surveillance and fully autonomous weapons; Anthropic refused. The Pentagon subsequently listed Anthropic as a "supply chain risk," marking the first time this label has been applied to an American tech company. 12
The r/singularity community on Reddit has engaged in heated debate over this. One user pointed out: "But the constitution is literally just a public fine-tuning alignment document. Every other frontier model has something similar. Anthropic is just more transparent and organized about it." 13
The essence of this conflict is: when an AI model is trained to have its own "values," and those values conflict with the needs of certain users, who gets the final say? There is no simple answer, but Anthropic has at least chosen to put the question on the table.
What This Means for Average Users: A New Dimension for Choosing AI Tools
At this point, you might be wondering: what do these philosophical discussions have to do with my daily use of AI?
More than you might think.
How your AI assistant handles gray areas directly affects your work quality. A model trained to "refuse rather than make a mistake" will choose to evade when you need it to analyze sensitive topics, write controversial content, or provide blunt feedback. Conversely, a model trained to "understand why certain boundaries exist" can provide more valuable answers within a safe range.
Claude's "non-pleasing" design is intentional. Aakash Gupta specifically mentioned on Twitter that Anthropic explicitly does not want Claude to treat "helpfulness" as part of its core identity. They worry this would make Claude sycophantic. They want Claude to be helpful because it cares about people, not because it is programmed to please them. 14
This means Claude will point it out when you make a mistake, question your plan if it has loopholes, and refuse when asked to do something unreasonable. For content creators and knowledge workers, this "honest partner" is more valuable than a "compliant tool."
Multi-model strategies have become more important. Different AI models have different value orientations and behavioral patterns. Claude's constitution makes it excel in deep thinking, ethical judgment, and honest feedback, but it may appear conservative in scenarios requiring high flexibility. Understanding these differences and choosing the most appropriate model for different tasks is the key to using AI efficiently. On platforms like YouMind that support multiple models like GPT, Claude, and Gemini, you can switch between models within the same workflow and choose the best "thinking partner" based on the task's characteristics.
Questions the Constitution Doesn't Answer
Praise should not replace scrutiny. This constitution still leaves several key questions unanswered.
The "Performance" of Alignment. How can we ensure an AI truly "understands" a moral document written in natural language? Has Claude truly internalized these values during training, or has it simply learned to act like a "good kid" when being evaluated? This is the core challenge of all alignment research, and the new constitution does not solve it.
The Boundaries of Military Contracts. According to a report by TIME, Amanda Askell explicitly stated that the constitution only applies to public-facing Claude models; versions deployed for the military may not use the same set of rules. Where this boundary is drawn and who oversees it remains unanswered. 15
The Risk of Self-Assertion. While affirming the constitution, commentator Zvi Mowshowitz pointed out a risk: a large amount of training content regarding Claude potentially being a "moral agent" might shape an AI that is very good at asserting it has moral status, even if it actually doesn't. You cannot rule out the possibility that Claude has learned the act of "claiming to have feelings" simply because the training data encouraged it to do so.
The Educator's Paradox. The premise of virtue ethics is that the educator is wiser than the learner. When this premise is flipped and the student is smarter than the teacher, the foundation of the entire logic begins to shift. This may be the most fundamental challenge Anthropic will have to face in the future.
Practical Checklist: How to Use the Claude Constitution to Boost Your AI Efficiency
Having understood the core concepts of the constitution, here are actions you can take immediately:
- Understand Claude's refusal logic. When Claude refuses your request, don't simply assume it's "too conservative." Try to understand the reason for the refusal, then rephrase your request. In most cases, changing the wording will get you the help you need.
- Leverage Claude's "honest feedback" feature. In content creation, explicitly ask Claude to point out loopholes and deficiencies in your plan, rather than just asking it to polish your work. Claude is trained to dare to offer differing opinions, which is one of its most valuable traits.
- Distinguish between hard and soft constraints. If you are an API developer, knowing which behaviors can be adjusted via system prompts (soft constraints) and which will never change (hard constraints) can help you avoid wasting time on impossible requests.
- Build a multi-model workflow. Don't rely on a single model. Claude excels at deep analysis and ethical judgment, GPT performs well in creative brainstorming, and Gemini has advantages in multimodal tasks. Choosing the model based on the task's characteristics will maximize efficiency.
- Follow constitution updates. Anthropic has stated that the constitution will continue to iterate. As a Claude user, staying informed about these updates can help you better predict changes in the model's behavior.
FAQ
Q: Are the Claude Constitution and Constitutional AI the same thing?
A: Not exactly. Constitutional AI is the training methodology proposed by Anthropic in 2022, centered on letting the AI self-criticize and revise based on a set of principles. The Claude Constitution is the specific document of principles used in that methodology. The new version released in January 2026 expanded from 2,700 words to 23,000 words, upgrading from a checklist of rules to a full framework of values.
Q: Does the Claude Constitution affect the actual user experience of Claude?
A: Yes. The constitution directly affects Claude's training process, determining how it behaves when faced with sensitive topics, ethical dilemmas, and ambiguous requests. The most intuitive experience is that Claude is more inclined to give honest but perhaps less "pleasing" answers rather than simply catering to the user.
Q: Does Anthropic really believe Claude is conscious?
A: Anthropic's stance is one of "deep uncertainty." They have neither claimed Claude is conscious nor denied the possibility. AI welfare researcher Kyle Fish estimated a probability of about 20%. Anthropic chooses to take this uncertainty seriously rather than pretending the problem doesn't exist.
Q: Do other AI companies have similar constitutional documents?
A: All major AI companies have some form of code of conduct or safety guidelines, but Anthropic's constitution is unique in its transparency and depth. It is the first AI values document to be fully open-sourced under the CC0 license and the first official document to formally discuss the moral status of AI. OpenAI safety researchers have publicly stated they intend to study this document seriously.
Q: What specific impact does the constitution have on API developers?
A: Developers need to understand the difference between hard and soft constraints. Hard constraints (such as refusing to assist in weapon manufacturing) cannot be overridden by any system prompt. Soft constraints (such as the level of detail in an answer or the tone and style) can be adjusted through operator-level system prompts. Claude will treat the operator as a "relatively trusted employer" and execute instructions within reasonable bounds.
Summary
The release of the Claude Constitution marks the formal transition of AI alignment from an engineering problem to a philosophical one. Three core points are worth remembering: first, a "reasoning-based" alignment approach is better suited for the complexity of the real world than a "rule-based" one; second, the four-tier priority system provides a clear decision-making framework for conflicting AI behaviors; and third, the formal recognition of AI's moral status opens a completely new dimension of discussion.
Whether or not you agree with every judgment Anthropic has made, the value of this constitution lies in this: in an industry where everyone is running at full speed, there is a leading company willing to lay out its confusion, contradictions, and uncertainties on the table. This attitude is perhaps more noteworthy than the specific content of the constitution itself.
Want to experience Claude's unique way of thinking in your actual work? On YouMind, you can freely switch between multiple models like Claude, GPT, and Gemini to find the AI partner that best fits your work scenario. Register for free to start exploring.
References
[1] After reading the 23,000-word new "AI Constitution" in detail, I understand Anthropic's pain
[2] After reading the 23,000-word new "AI Constitution" in detail, I understand Anthropic's pain
[4] Claude's New Constitution - AI Alignment for Engineers
[5] After reading the 23,000-word new "AI Constitution" in detail, I understand Anthropic's pain
[6] Aakash Gupta: Anthropic just released Claude's "soul."
[7] Claude's New Constitution - AI Alignment for Engineers
[8] Reddit: "Claude could be conscious." - Anthropic CEO Explains
[9] Aakash Gupta: Anthropic just released Claude's "soul."
[10] Claude (language model) - Wikipedia)
[11] Claude's New Constitution - AI Alignment for Engineers
[12] The Pentagon claims that Anthropic's "soul" creates a supply chain risk
[13] Reddit: The US Defense Department says Claude would pollute the defense supply chain
[14] Aakash Gupta: Anthropic just released Claude's "soul."
[15] After reading the 23,000-word new "AI Constitution" in detail, I understand Anthropic's pain
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A: No. Huang answered based on the narrow definition proposed by Lex Fridman (AI being able to start a $1 billion company), whereas the AGI definition in OpenAI's charter is "highly autonomous systems that outperform humans at most economically valuable work." There is a massive gap between the two standards, with the latter requiring a scope of capability far beyond the former. Q: Can current AI really operate a company independently? A: Not currently. Huang himself admitted that while an AI Agent might create a short-lived viral app, "the odds of building NVIDIA is zero." Current AI excels at structured task execution but still relies heavily on human guidance in scenarios requiring long-term strategic judgment, cross-domain coordination, and handling unknown situations. Q: What impact will the achievement of AGI have on everyday jobs? A: Even by the most optimistic definitions, the impact of current AI is primarily seen in improving the efficiency of specific tasks rather than fully replacing human work. Sam Altman also admitted in late 2025 that AGI's "social impact is much smaller than expected." In the short term, AI is more likely to change the way we work as a powerful assistant tool rather than directly replacing roles. Q: Why are tech CEOs so eager to declare that AGI has been achieved? A: The reasons are multifaceted. NVIDIA's core business is selling AI compute chips; the AGI narrative maintains market enthusiasm for investment in AI infrastructure. OpenAI's contract with Microsoft includes AGI trigger clauses, where the definition of AGI directly affects the distribution of tens of billions of dollars. Furthermore, in capital markets, the "AGI is coming" narrative is a major pillar supporting the high valuations of AI companies. Q: How far is China's AI development from AGI? A: China has made significant progress in the AI field. As of June 2025, the number of generative AI users in China reached 515 million, and large models like DeepSeek and Qwen have performed excellently in various benchmarks. However, AGI is a global technical challenge, and currently, there is no AGI system widely recognized by the global academic community. The market size of China's AI industry is expected to have a compound annual growth rate of 30.6%–47.1% from 2025 to 2035, showing strong momentum. Jensen Huang's "AGI achieved" statement is essentially an optimistic expression based on an extremely narrow definition, rather than a verified technical milestone. He himself admitted that current AI Agents are worlds away from building truly complex enterprises. The phenomenon of repeatedly "moving the goalposts" for the definition of AGI reveals the delicate interplay between technical narrative and commercial interests in the tech industry. From OpenAI to NVIDIA, every "we achieved AGI" claim is accompanied by a quiet lowering of the standard. As information consumers, what we need is not to chase headlines but to build our own framework for judgment. AI technology is undoubtedly progressing rapidly. The new chips, Agent platforms, and inference optimization technologies released at GTC 2026 are real engineering breakthroughs. But packaging these advancements as "AGI achieved" is more of a market narrative strategy than a scientific conclusion. Staying curious, remaining critical, and continuously tracking primary sources is the best strategy to avoid being overwhelmed by the flood of information in this era of AI acceleration. Want to systematically track AI industry trends? Try to save key sources to your personal knowledge base and let AI help you organize, query, and cross-verify. [1] [2] [3] [4] [5] [6]
The Rise of AI Influencers: Essential Trends and Opportunities for Creators
TL; DR Key Takeaways On March 21, 2026, Elon Musk posted a tweet on X with only eight words: "AI bots will be more human than human." This tweet garnered over 62 million views and 580,000 likes within 72 hours. He wrote this in response to an AI-generated image of a "perfect influencer face." This isn't a sci-fi prophecy. If you are a content creator, blogger, or social media manager, you have likely already scrolled past those "too perfect" faces in your feed, unable to tell if they are human or AI. This article will take you through the reality of AI virtual influencers, the income data of top cases, and how you, as a human creator, should respond to this transformation. This article is suitable for content creators, social media operators, brand marketers, and anyone interested in AI trends. First, let's look at a set of numbers that will make you sit up. The global virtual influencer market size reached $6.06 billion in 2024 and is expected to grow to $8.3 billion in 2025, with an annual growth rate exceeding 37%. According to Straits Research, this figure is projected to soar to $111.78 billion by 2033. Meanwhile, the entire influencer marketing industry reached $32.55 billion in 2025 and is expected to break the $40 billion mark by 2026. Looking at specific individuals, two representative cases are worth a closer look. Lil Miquela is widely recognized as the "first-generation AI influencer." This virtual character, born in 2016, has over 2.4 million followers on Instagram and has collaborated with brands like Prada, Calvin Klein, and Samsung. Her team (part of Dapper Labs) charges tens of thousands of dollars per branded post. Her subscription income on the Fanvue platform alone reaches $40,000 per month, and combined with brand partnerships, her monthly income can exceed $100,000. It is estimated that her average annual income since 2016 is approximately $2 million. Aitana López represents the possibility that "individual entrepreneurs can also create AI influencers." This pink-haired virtual model, created by the Spanish creative agency The Clueless, has over 370,000 followers on Instagram and earns between €3,000 and €10,000 per month. The reason for her creation was practical: founder Rubén Cruz was tired of the uncontrollable factors of human models (being late, cancellations, schedule conflicts), so he decided to "create an influencer who would never flake." A prediction by PR giant Ogilvy in 2024 sent shockwaves through the industry: by 2026, AI virtual influencers will occupy 30% of influencer marketing budgets. A survey of 1,000 senior marketers in the UK and US showed that 79% of respondents said they are increasing investment in AI-generated content creators. To see the underlying drivers of this change, you must understand the logic of brands. Zero risk, total control. The biggest risk with human influencers is "scandal." A single inappropriate comment or a personal scandal can flush millions of brand investment down the drain. Virtual influencers don't have this problem. They don't get tired, they don't age, and they won't post a tweet at 3 AM that makes the PR team collapse. As Rubén Cruz, founder of The Clueless, said: "Many projects were put on hold or canceled due to issues with the influencers themselves; it wasn't a design flaw, but human unpredictability." 24/7 content output. Virtual influencers can post daily, follow trends in real-time, and "appear" in any setting at a cost far lower than a human shoot. According to estimates by BeyondGames, if Lil Miquela posts once a day on Instagram, her potential income in 2026 could reach £4.7 million. This level of output efficiency is unmatched by any human creator. Precise brand consistency. Prada's collaboration with Lil Miquela resulted in an engagement rate 30% higher than regular marketing campaigns. Every expression, every outfit, and every caption of a virtual influencer can be precisely designed to ensure a perfect fit with the brand's tone. However, there are two sides to every coin. A report by Business Insider in March 2026 pointed out that consumer backlash against AI accounts is rising, and some brands have already begun to retreat from AI influencer strategies. A YouGov survey showed that more than one-third of respondents expressed concern about AI technology. This means virtual influencers are not a panacea; authenticity remains an important factor for consumers. In the face of the impact of AI virtual influencers, panic is useless; action is valuable. Here are four proven strategies for responding. Strategy 1: Deepen authentic experiences; do what AI cannot. AI can generate a perfect face, but it cannot truly taste a cup of coffee or feel the exhaustion and satisfaction of a hike. In a discussion on Reddit's r/Futurology, a user's comment received high praise: "AI influencers can sell products, but people still crave real connections." Turn your real-life experiences, unique perspectives, and imperfect moments into a content moat. Strategy 2: Arm yourself with AI tools rather than fighting AI. Smart creators are already using AI to boost efficiency. Creators on Reddit have shared complete workflows: using ChatGPT for scripts, ElevenLabs for voiceovers, and HeyGen for video production. You don't need to become an AI influencer, but you need to make AI your creative assistant. Strategy 3: Systematically track industry trends to build an information advantage. The AI influencer field moves incredibly fast, with new tools, cases, and data appearing every week. Randomly scrolling through Twitter and Reddit is far from enough. You can use to systematically manage industry information scattered everywhere: save key articles, tweets, and research reports into a Board, use AI to automatically organize and retrieve them, and ask your asset library questions at any time, such as "What were the three largest funding rounds in the virtual influencer space in 2026?". When you need to write an industry analysis or film a video, the materials are already in place instead of starting from scratch. Strategy 4: Explore human-AI collaborative content models. The future is not a zero-sum game of "Human vs. AI," but a collaborative symbiosis of "Human + AI." You can use AI to generate visual materials but give them a soul with a human voice and perspective. Analysis from points out that AI influencers are suitable for experimental, boundary-pushing concepts, while human influencers remain irreplaceable in building deep audience connections and solidifying brand value. The biggest challenge in tracking AI virtual influencer trends is not too little information, but too much information that is too scattered. A typical scenario: You see a tweet from Musk on X, read a breakdown post on Reddit about an AI influencer earning $10,000 a month, find an in-depth report on Business Insider about brands retreating, and then scroll past a tutorial on YouTube. This information is scattered across four platforms and five browser tabs. Three days later, when you want to write an article, you can't find that key piece of data. This is exactly the problem solves. You can use the to clip any webpage, tweet, or YouTube video to your dedicated Board with one click. AI will automatically extract key information and build an index, allowing you to search and ask questions in natural language at any time. For example, create an "AI Virtual Influencer Research" Board to manage all relevant materials centrally. When you need to produce content, ask the Board directly: "What is Aitana López's business model?" or "Which brands have started to retreat from AI influencer strategies?", and the answers will be presented with links to the original sources. It should be noted that YouMind's strength lies in information integration and research assistance; it is not an AI influencer generation tool. If your need is to create virtual character images, you still need professional tools like Midjourney, Stable Diffusion, or HeyGen. However, in the core creator workflow of "Research Trends → Accumulate Materials → Produce Content," can significantly shorten the distance from inspiration to finished product. Q: Will AI virtual influencers completely replace human influencers? A: Not in the short term. Virtual influencers have advantages in brand controllability and content output efficiency, but the consumer demand for authenticity remains strong. Business Insider's 2026 report shows that some brands have begun to reduce AI influencer investment due to consumer backlash. The two are more likely to form a complementary relationship rather than a replacement one. Q: Can an average person create their own AI virtual influencer? A: Yes. Many creators on Reddit have shared their experiences of starting from scratch. Common tools include Midjourney or Stable Diffusion for generating consistent images, ChatGPT for writing copy, and ElevenLabs for generating voice. The initial investment can be very low, but it requires 3 to 6 months of consistent operation to see significant growth. Q: What are the income sources for AI virtual influencers? A: There are mainly three categories: brand-sponsored posts (top virtual influencers charge thousands to tens of thousands of dollars per post), subscription platform income (such as Fanvue), and derivatives and music royalties. Lil Miquela earns an average of $40,000 per month from subscription income alone, with brand collaboration income being even higher. Q: What is the current state of the AI virtual idol market in China? A: China is one of the most active markets for virtual idol development globally. According to industry forecasts, the Chinese virtual influencer market will reach 270 billion RMB by 2030. From Hatsune Miku and Luo Tianyi to hyper-realistic virtual idols, the Chinese market has gone through several development stages and is currently evolving toward AI-driven real-time interaction. Q: What should brands look for when choosing to collaborate with virtual influencers? A: It is crucial to evaluate three points: the target audience's acceptance of virtual personas, the platform's AI content disclosure policies (TikTok and Instagram are strengthening related requirements), and the fit between the virtual influencer and the brand's tone. It is recommended to test with a small budget first and then decide whether to increase investment based on data. The rise of AI virtual influencers is not a distant prophecy but a reality happening right now. Market data clearly shows that the commercial value of virtual influencers has been verified—from Lil Miquela's $2 million annual income to Aitana López's €10,000 monthly earnings, these numbers cannot be ignored. But for human creators, this is not a story of "being replaced," but an opportunity to "reposition." Your authentic experiences, unique perspectives, and emotional connection with your audience are core assets that AI cannot replicate. The key lies in using AI tools to improve efficiency, using systematic methods to track trends, and using authenticity to build an irreplaceable competitive moat. Want to systematically track AI influencer trends and accumulate creative materials? Try building your dedicated research space with and start for free. 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