Why is Step Fun So Perfect?

marsbitPublished on 2026-07-15Last updated on 2026-07-15

Abstract

The article analyzes StepFun's recent, meticulously orchestrated product launch on July 13th, framing it as a strategic maneuver rather than a conventional unveiling. Facing intense pressure in China's AI landscape, the startup preemptively announced its AI terminal brand STEPX, Step AOS operating system, Amoo personal agent, and the "world's first" Agent Phone, STEPX Neo—just days before a major competitor's launch at WAIC. The author argues this "perfect" presentation, addressing prior industry critiques around agent security, permissions, and ecosystem partnerships upfront, serves as a "perfect defense" aimed at regulators, investors, and the market. Its core purpose is to seize the narrative and define standards for the emerging "Agent Phone" category before giants like ByteDance (with its Doubao phone), Apple, or Huawei solidify control. Behind this move lies StepFun's precarious position. Despite a high valuation and revenue from supplying AI models to phone makers, its business is seen as vulnerable—akin to a "MediaTek of AI," with little pricing power as capabilities commoditize. CEO Yin Qi, drawing from his experience at Megvii, is betting that transitioning from a pure AI model supplier to an integrated "terminal platform" with its own hardware, OS, and ecosystem is essential for survival and sustaining its valuation narrative ahead of a potential IPO. The article concludes that StepFun's launch is a symptom of a broader trend: AI startups are forced to "release ...

This might be the most "perfect" product launch in the AI industry this year.

So perfect that it feels a bit unusual.

On July 13, Step Fun held a launch event in Shanghai, unveiling four new offerings at once: the AI terminal brand STEPX, the intelligent-agent-native operating system Step AOS, the personal intelligent agent Amoo, and the world's first large-model-native intelligent agent phone, STEPX Neo.

Four days later is the WAIC World Artificial Intelligence Conference.

And on July 17, Nubia and ByteDance are set to launch the mass-produced version of the second-generation Doubao Phone at WAIC, this time with the clear intention of selling it widely.

Timing is definitely not a coincidence.

While Step Fun's Chairman Yin Qi said there's "no competition," the entire launch event was about one thing: claiming the right to define.

There is only one crown for being the world's first large-model-native intelligent agent phone. Whoever claims it first gets the chance to hold the industry standard in their hands.

Those three lines shown at the event were more candid than any product specification.

"Do it too late, and you won't get to do it at all. Do it too early, and you might do it for nothing. Don't do it, and soon there will be nothing left to do."

What Step Fun is seizing is not just four days, but the first flag of the AI phone era.

I. Blocking Every Pitfall Doubao Stepped Into

What's more noteworthy is the completeness of this launch.

A startup, making its first public appearance with a terminal product, didn't compete on camera megapixels or chip benchmark scores. Instead, it discussed model, system, hardware, intelligent agents, ecosystem, partners, permission management, Trusted Execution Environment (TEE), operation auditing, one-click undo, deletable memory, security white paper, national standards.

If you followed the industry discussions around the Doubao Phone half a year ago, you'd find that Step Fun has preemptively addressed almost every criticism the market once directed at ByteDance.

Recall the list of issues exposed by the first-generation Doubao Phone.

Unclear permission boundaries for intelligent agents, leading to joint blocking of simulated operations by Meituan, WeChat, and Taobao. Lack of clear user data privacy guarantees. Apps unwilling to open entry points to intelligent agents. Unclear regulatory stance.

Now look at STEPX's approach.

TEE (Trusted Execution Environment) solves the 'dare to use' problem. Every operation being auditable and traceable solves the 'can you see it' problem. Permissions granted on-demand and revoked after use solve the 'can you control it' problem. One-click undo for misoperations solves the 'what if it's wrong' problem.

This isn't just a response on a technical level. Step Fun, in collaboration with Shanghai AI Laboratory, released the New Generation Intelligent Agent System Security Technology White Paper and the End-side Large Model Network Security Guide, systematically proposing an intelligent agent security framework for the first time and jointly developing national standards.

The list of first-phase ecosystem partners is also substantial. Ctrip, Alipay, Didi, Meituan, Gaode, JD.com, Baidu, Weibo, WPS, Jianying.

This means Step Fun has completed the first round of permission negotiations, getting Apps to proactively join in the form of 'skills,' unlike the first-gen Doubao, which was seen as an invasive "plug-in" forcefully simulating clicks.

This no longer seems like a product launch; it's more like a perfect thesis defense presented to the industry.

The audience for this defense isn't consumers. The actual phone isn't on the market yet—no price, no configurations, no release date, not a single hands-on photo to be found online.

The audience is the App ecosystem, regulatory bodies, the capital market, and the formidable rival set to appear four days later.

A startup, with its product not yet mass-produced, has preemptively addressed all future concerns and potential criticisms.

Why?

II. What Yin Qi Fears Most Is Not Losing to Doubao

Many might think this is a two-horse race in the AI phone arena. Step Fun versus ByteDance, a clash of two approaches.

That's not the case.

What Step Fun is truly anxious about is time.

To understand this, one must first see the real situation of large model startups today.

In 2023, the fight was about who could create China's GPT-4. In 2024, it was about who had the highest benchmark scores, who had the strongest multimodal capabilities.

2025, the story changed. DeepSeek reshaped industry rules with open-source, free access, and low-cost APIs, matching OpenAI's performance but priced at 1/30. Alibaba invested over 100 billion yuan annually, ByteDance's capital expenditure reached 160 billion yuan. Kai-Fu Lee said the Chinese large model market will ultimately move towards oligopoly, with only three players left in the end.

By 2026, the former "AI Six Tigers" have completely diverged. Zhipu AI and MiniMax have listed on the Hong Kong Stock Exchange, now facing stock price pressures. Moonshot AI is raising a new round of about $1 billion at a $18 billion valuation. Baichuan AI is focusing deeply on verticals like healthcare.

And Step Fun?

According to public information, Step Fun's Pre-IPO round valuation was pushed from $4 billion all the way up to $6 billion. The latest financing round raised a huge $2.5 billion. It has dismantled its VIE structure and is sprinting towards a Hong Kong IPO.

The numbers look decent. But upon closer inspection, problems emerge.

Step Fun's revenue mainly comes from being an AI supplier for smartphone manufacturers. Data shows that 60% of China's top mobile phone brands are equipped with Step Fun's model, with installations exceeding 42 million units.

Short-term, this business model works. Long-term, it's hanging by a thread.

Major Chinese manufacturers like Huawei, Xiaomi, OPPO, and Vivo could replace Step Fun at any time.

As on-device model capabilities become commoditized—and this is indeed accelerating—AI suppliers risk becoming the MediaTek of the chip industry. They have output, but zero pricing power.

Simultaneously, API prices are falling lower, model capabilities are converging, C-end users are reluctant to pay, and B-end clients all demand customization. The tech giants have ecosystems, entry points, and data flywheels.

The biggest risk facing large model startups today is not failing to build a good model; it's that the model itself is becoming less and less valuable.

Yin Qi understands this better than anyone. He spent over a decade at Megvii, from startup through multiple attempts to go public, until his eventual departure. Megvii had technology, had deployments, had government and enterprise clients, but its cash flow was perpetually under pressure, never closing the loop for a consumer-grade business.

A decade ago, at Megvii, he believed in algorithms. Today, at Step Fun, he's starting to believe in the entry point. His first major decision after joining Step Fun was to abandon pure ToB project-based work and pure ToC cash-burning, betting on AI + terminals. He was very direct in the media group interview after the July 13 STEPX terminal product launch: For independent base model startups, pursuing pure ToC or ToB paths doesn't make financial sense; using terminals to drive commercialization is a more sustainable path. This isn't a strategic choice; it's a survival choice.

What STEPX is truly launching is not a phone; it's a new valuation logic.

From a model company to a terminal platform.

III. The 100-Day Countdown

Today's Step Fun cannot wait, and cannot afford to wait.

Once the second-generation Doubao Phone enters mass production, the right to define the world's first AI intelligent agent phone is no longer in your hands.

Looking further ahead. Apple's Apple Intelligence continues to evolve. Huawei's HarmonyOS Next deeply integrates the Pangu large model. Xiaomi's AI system is entering its second generation. Tencent and Alibaba each have their own terminal strategies.

By then, there will be no place for startups at the entry points for traffic and scenarios.

Yin Qi said in an interview: If we ourselves cannot now take the lead in creating such an innovative terminal, it will actually be very difficult for our Step AOS to form a value loop, and also difficult for consumers to use.

The meaning is clear. Without making their own hardware, the operating system has no carrier. Without a carrier, there is no user data. Without user data, the intelligent agent cannot learn to perform tasks.

Therefore, today's Step Fun must pre-define what an Agent Phone is, what an Agent OS should look like, and who writes the security standards for Agents.

Even if the product isn't fully mature today, even if the real device only appeared on stage and not in a hands-on area, this stake must be claimed.

Yin Qi said one thing in the post-event interview: The second half will be in 100 days.

From a capital market logic perspective, before submitting its Hong Kong listing application, he must upgrade the valuation narrative from that of a model supplier to an intelligent terminal platform.

A $10 billion valuation ambition simply cannot be supported by API sales revenue; it requires selling a more grandiose ecosystem story.

Plant the flag first, even if the territory isn't fully secured.

IV. Chinese AI, Beginning to Oversell

Step Fun's meticulously designed, perfect launch is just one sample of the times.

What's truly worth observing is a more widespread underlying phenomenon.

Today, almost all Chinese large model startups are doing the same thing: launching the future.

Zhipu AI tells the capital story of being the world's first publicly listed large model company. MiniMax focuses on the growth story of global C-end expansion. Moonshot AI repeatedly emphasizes the miracle of overseas revenue surpassing domestic. Baichuan AI launches the imagination space in verticals like healthcare.

Step Fun is launching a phone that can't be bought yet, an operating system that hasn't proven itself, and an intelligent agent ecosystem that still needs 100 days of polishing.

"Today" has already depreciated. Today's API call volumes, model benchmark scores, monthly active users—all could be crushed by the giants at any moment.

The only thing that can still make the capital market buy in is platform, ecosystem, operating system, even being a standard-setter.

This inevitably leads to an interesting "over-hyping" phenomenon. The product maturity might be only 30%, but the launch's completeness is 120%. The real experience deliverable today is very limited, but the story is told almost flawlessly.

This is the only posture startups like Step Fun can choose in the current window period.

Capital is no longer investing in a model; capital is investing in a future platform.

For this story,

Yin Qi is pulling Step Fun out of the ranks of the "AI Six Tigers" and squeezing it into a different track narrative.

【Beyond the Layout】:

Today, all large model startups are doing the same thing. Trading today's survival space for a blueprint of the future.

No one is waiting for the product to be perfect before making a move. By that day, there might be no seats left at the table for startups.

Yin Qi said, do it too late, and you won't get to do it at all.

He certainly did this early. Holding a launch before the product is mass-produced, defining national standards while the OS still needs 100 days of polishing, declaring "world's first" while the phone is still being redesigned.

Step Fun's overly perfect launch precisely proves one thing.

In this brutal elimination race, the more flawlessly you articulate the future, the more it reveals how urgent the present situation is.

This article is from the WeChat public account "Beyond the Layout", author: Huahua

Trending Cryptos

Related Questions

QWhat is the main purpose of StepFun's (阶跃星辰) press conference on July 13th according to the article?

AThe main purpose is not to launch a mature consumer product, but to strategically 'claim the definition rights' for the AI agent phone era, setting industry standards, and shifting the company's valuation narrative from being just a model supplier to a smart terminal platform ahead of its potential IPO.

QHow did StepFun's (阶跃星辰) announcement of its STEPX Neo phone address concerns that arose from the previous 'Doubao phone'?

AIt addressed concerns by proposing comprehensive solutions: TEE (Trusted Execution Environment) for security, fully auditable and reversible operations for transparency and control, precise permission management, and a published security white paper with national standard guidelines, alongside securing partnerships with major apps for native integration.

QWhat key business risk does the article identify for independent large model startups like StepFun (阶跃星辰) in the current Chinese AI market?

AThe key risk is not failing to develop capable models, but that models are becoming commoditized and 'increasingly worthless' as API prices drop, capabilities converge, and major tech giants with their own ecosystems, data, and resources dominate, potentially pushing startups out.

QWhy is timing particularly critical for StepFun (阶跃星辰) right now, as explained in the article?

ATiming is critical because they must establish their platform narrative and claim the 'first mover' title for agent phones before competitors like ByteDance's second-gen Doubao phone (set for mass production) and major phone brands (Huawei, Xiaomi, etc.) with integrated AI systems solidify their positions, leaving no room for startups in the future ecosystem.

QWhat does the article suggest the 'perfect' nature of StepFun's press conference reveals about the broader situation of AI startups in China?

AIt reveals a prevalent 'over-matching' phenomenon where startups, under intense competitive and capital pressure, present a 120% complete vision of the future (platforms, ecosystems, standards) while their current products might only be 30% mature, using compelling future narratives to secure present-day survival and investment in a rapidly consolidating market.

Related Reads

Amidst Capital's Encirclement, Decentralization is the Sole Defense for Public Blockchains

In a landscape dominated by power and profit motives, the author argues that decentralization is not merely one desirable feature among many in blockchain design—it is the singular, non-negotiable defense against corporate and capital capture. The article adopts a Machiavellian, realist perspective on human institutions, positing that businesses will inevitably attempt to co-opt any valuable network to protect their profits and dominance. While external attacks like 51% forks are often discussed, the greater existential risk is internal capture—the gradual erosion of a protocol’s neutrality by vested interests, as seen historically with platforms like Visa and Google. The piece critiques permissioned chains, highly centralized “permissionless” layer-1s, and layer-2s without sufficient decentralization (e.g., single sequencers) as inherently vulnerable. These compromised systems, promoted by established financial players, are framed as delaying tactics to stifle truly open networks that threaten existing high-fee, inefficient business models. Real-world examples, such as closed enterprise consortiums that exclude competitors, illustrate how such systems cement oligopolies rather than foster innovation. The author concludes that while decentralized protocols like Ethereum are imperfect and costly to operate, they represent the only viable long-term equilibrium. In a market where value naturally flows to the most secure and neutral settlement layer, only maximally decentralized public blockchains can resist being subsumed by capital and powerful incumbents.

Foresight News11m ago

Amidst Capital's Encirclement, Decentralization is the Sole Defense for Public Blockchains

Foresight News11m ago

Who Decides the Rules of Bitcoin? BIP-110 Ignites Governance Debate

Bitcoin's governance is once again at the center of a heated debate, this time ignited by BIP-110, the "Reduced Data Temporary Softfork." This proposal aims to curb non-monetary data (like inscriptions and Runes) by introducing seven new consensus-layer restrictions over a year, such as limiting new output scripts to 34 bytes and restoring the OP_RETURN cap to 83 bytes. The controversy stems from BIP-110's fundamental shift: it moves the battle against "spam" from node relay and miner policies to the consensus layer, rendering currently valid transactions invalid. Supporters, arguing that default policy governance has failed (highlighted by Bitcoin Core v30's relaxation of OP_RETURN limits), see this as necessary to protect node resources and Bitcoin's monetary focus. Opponents, led by figures like Michael Saylor and Adam Back, warn it dangerously centralizes governance. Saylor listed 110 reasons against it, criticizing its low 55% miner activation threshold and potential for chain splits. Back emphasized Bitcoin's "permissionless" ethos, arguing no single group should impose value judgments via consensus rules. Further complicating matters, technical critiques suggest BIP-110 may be technically circumventable, and a "BlockSlop" vulnerability in its upgrade path poses a consensus risk. The debate has drawn in diverse stakeholders: miners (with pools like Ocean signaling support and Foundry polling clients), node operators (like Bitcoin Knots), and new players like corporate treasury holder MicroStrategy (Saylor), whose market influence adds a novel dimension. Ultimately, BIP-110 acts as a governance stress test, exposing the unresolved question: who decides Bitcoin's rules? It pits the authority of miners, node operators, developers, and capital holders against each other, with each side claiming to defend Bitcoin's core principles of neutrality and security.

marsbit27m ago

Who Decides the Rules of Bitcoin? BIP-110 Ignites Governance Debate

marsbit27m ago

Who Decides Bitcoin's Rules? BIP-110 Ignites Governance Debate

Title: Who Decides Bitcoin's Rules? BIP-110 Ignites Governance Debate A new technical proposal, BIP-110 (Reduced Data Temporary Softfork), has sparked a fundamental governance debate within the Bitcoin community. It aims to impose new consensus rules for one year to limit non-financial data (like inscriptions and Runes) on-chain, moving beyond simple node and miner policy filters to invalidate currently valid transactions. Supporters argue that default policies have failed due to workarounds, necessitating consensus-layer changes to protect Bitcoin's core monetary function from data spam. Critics, including Michael Saylor and Adam Back, contend this dangerously centralizes judgment, undermines permissionlessness, and sets a risky governance precedent. They advocate for market-based solutions like fees or Layer 2s instead. The debate exposes deeper tensions: miners are divided on activation; node operators assert their sovereignty; Bitcoin Core developers influence defaults without direct accountability; and large corporate holders like MicroStrategy now wield narrative influence. Technically, BIP-110 may not fully block data and carries a disclosed consensus bug risk. Ultimately, BIP-110 acts as a stress test, forcing the community to confront the unresolved question: who legitimately decides what Bitcoin is and how it evolves, amidst competing claims from miners, nodes, developers, and capital holders.

链捕手39m ago

Who Decides Bitcoin's Rules? BIP-110 Ignites Governance Debate

链捕手39m ago

Zcash's New Node Zakura Goes Live: Privacy Payments Can Reach 50,000 TPS, Aiming to Rival Visa and Mastercard

Zcash, a privacy-focused cryptocurrency, has launched a new full node software called Zakura version 1.0.0. Developed by Zcash co-founder Sean Bowe and Dev Ojha, with private ZEC donations, its goal is to enable Zcash to process over 50,000 transactions per second (TPS)—matching the scale of Visa and Mastercard—while maintaining full transaction privacy and verifiability. This addresses a key bottleneck, as Zcash currently handles only about 1 private transaction per second. Zakura is a fork of the Zcash Foundation's Zebra node. It features chain pruning and snapshots, reducing disk usage and allowing new nodes to sync in under two minutes. It also offers compatibility with the legacy `zcashd` client interface. The scalability challenge stems from the large data size of privacy proofs. Bowe's Tachyon project aims to use recursive proofs to reduce consensus-layer data needs from ~500 MB/s to ~100 MB/s. For wallet scalability, Valar Group is researching Private Information Retrieval (PIR) tech to allow wallets to fetch their data privately. Zakura supports fast block propagation and the upcoming "Ironwood" network upgrade (NU6.3), scheduled for activation around July 28th. Ironwood was created to contain a critical inflation bug discovered in the Orchard shielded pool in May 2024. The fix uses "turnstiles" to trap any counterfeit ZEC created during the vulnerability period within the shielded pool, preventing it from entering circulation and restoring supply integrity.

marsbit54m ago

Zcash's New Node Zakura Goes Live: Privacy Payments Can Reach 50,000 TPS, Aiming to Rival Visa and Mastercard

marsbit54m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片