---
title: "Is the Real AI Dividend Hidden on “Rural Walls” and in “Late-Night Ruined Photos”? | December 2025 AI Top 100"
author: "Unique Research"
sourcePublication: "Unique Research Substack"
originalPublishedAt: "2026-02-04T08:49:21+00:00"
canonical: "https://ffcap.cn/en/research/src-20260204-04html"
source: "https://uniqueresearch.substack.com/p/src-20260204-04html"
language: "en"
---

# Is the Real AI Dividend Hidden on “Rural Walls” and in “Late-Night Ruined Photos”? | December 2025 AI Top 100

_Original · Unique Research · 2026-02-04_

_Historical edition: This complete textual article was published on February 4, 2026, interpreting December 2025 app data. Growth figures, launch dates, promotions, product features, methodology and partnership claims are those of the original report, not independently verified current facts. Its explanations of why products grew are editorial interpretations, not demonstrated causal findings; “champion” and “number one” refer to the growth rankings discussed, not absolute app size. Health-assistant descriptions are not evidence of clinical efficacy, and “reviving” relatives refers to animating photos. Images and image-only data are outside this text-only edition._

While Everyone Competes on "Foundation-Model Intelligence," the Real Winners Are Building "Nannies" and "Oracles"

Unique Research

Every month without fail, the Unique Research team does one thing: digs into underlying data from the global App Store and Google Play to see which AI applications are growing wildly.

Usually, this is a boring game of "whose model is smarter." But when we received the App growth ranking for December 2025, the data showed an extremely discordant, even "counterintuitive," break.

In theory, as AI has developed to this point, it should increasingly resemble an omniscient person. Yet in December, the global champion whose downloads surged 896% was not teaching you to code; it was teaching you how to use AI to "revive" deceased relatives. The domestic leader whose monthly active users soared 185% was not some lofty geek tool, but a health assistant that paints advertisements on rural walls and tells older adults, "Stop using Baidu; ask me."

Have you noticed? The point of explosive growth in this round of AI has changed.

Users are voting with their feet and choosing the AI they truly need—not a lofty "super brain," but a pair of "super hands" that can work and a "super companion" that can comfort the heart.

What are all the applications growing wildly in December doing? Let us take them apart one by one.

I. Productivity's "Dimensional Reduction": From "Writing Code" to "Making Wishes"

For a long time, we believed AI programming tools were for programmers. But the data for December delivered a sharp slap: the real growth comes from people who understand no code at all.

1\. Replit, download growth +148%, monthly-active-user growth +20%

What does it do? It was originally a cloud code editor. Now it is a "wishing well."

Why did it explode in December? On December 5, Replit dropped a bomb: it released a mobile App builder. This completely changed the rules of the game.

Deep analysis: Previously, building an App required configuring an environment and learning Swift/Java skills. Now, lying on the sofa, you can say to your phone, "Build me an App that records how many cups of coffee I drink each day, with a retro interface." Minutes later, a full-stack application is born, and you can even scan a code to run it directly on your phone. This is no longer programming. It is Silicon Valley's latest buzzword, Vibe Coding—building software by feeling and intuition, like making a wish. Replit's surge proves that the barrier to creating software will eventually fall to zero.

2\. Genspark, monthly-active-user growth +39%

What does it do? It is an "AI agent search" product trying to kill Google. It does not give you 10 blue links, but directly generates a structured Sparkpage, or knowledge page.

Why did it explode in December? Two reasons. First, the AI Sheets and AI Slides functions. At year-end, office workers all need to prepare reports. Enter "research 2025 AI funding trends for me and generate charts," and it directly produces an Excel spreadsheet or PPT report. This is a qualitative change from "finding information" to "submitting the assignment." Second, in December it took an aggressive step: a promotion offering "unlimited use throughout 2026," directly using a price war to take market share from the Perplexity service.

II. "Control" in Video: Be Disney or Be the Director

The video-generation field became a battle among immortals in December. Look closely, however, and you will see that Sora and KLING took two completely different roads.

3\. Sora, monthly-active-user growth +28%

What does it do? OpenAI's flagship for video generation.

Why did it explode in December? Disney entered the game. On December 11, Sora announced the introduction of Disney IP. What does that mean? The source says this means users could legally generate videos of "Iron Man battling Godzilla" or "Princess Elsa skating through a cyberpunk city." \[These examples are the author’s claim; the article supplies no rights terms establishing authorization for those characters, combinations or uses.\]

Deep analysis: Sora realized that no matter how impressive the technology is, it cannot compete with IP's dominance in human culture. It is transforming from a technology-demonstration platform into a "Hollywood studio with unlimited copyrights," in the author’s metaphor—not a statement of verified unlimited licensing rights. In addition, Sora's Android version rolled out comprehensively in December, directly absorbing enormous mobile traffic.

4\. KLING AI, download growth +335%

What does it do? A video-generation model developed by Kuaishou's team, emphasizing "long video" and "high controllability."

Why did it explode in December? It captured the point that hurts professional creators most: their desire for control. Making video with AI previously resembled opening a blind box, but the "motion control" introduced by KLING in December—draw a line to designate a character's movement—and "audio control"—upload a recording and perfectly synchronize the character's lips—made its reputation explode among professionals. It turned a "lottery" into "directing."

5\. PixVerse, download growth +132%

What does it do? A lighter-weight AI video tool that understands TikTok better.

Why did it explode in December? It lives on "templates." It keenly captured TikTok trends involving "reviving old photos" and "AI dance," then launched foolproof templates. A user uploads one photo and generates a funny video. It is the CapCut of the AI world, winning through a low barrier and an unconventional approach.

6\. Edits, monthly-active-user growth +23%

What does it do? A standalone video-editing App officially launched by Instagram to compete with TikTok's CapCut.

Why did it explode in December? Instagram pushed it hard. In December, Meta updated many exclusive templates and AI captioning functions and aggressively directed traffic from the main Instagram App. This is the classic playbook of a privileged heir: it is not only useful, but almost mandatory.

III. China's "Hyperlocalization": Do Not Talk to Me About Parameters; Talk to Me About "Keeping Me Safe"

In December, the Chinese market staged a textbook battle grounded in everyday life.

7\. Ant Afu, monthly-active-user growth +185%, download growth +390%

What does it do? An AI health assistant under Ant Group, formerly AQ.

Why did it explode in December? Renaming + wall painting. On December 15, it changed from the cold letters "AQ" to the highly approachable name "Ant Afu."

Deep analysis: It won by understanding China's relationship-based society. While other AI products boasted about parameters, Afu painted advertisements on rural walls using soul-piercing slogans such as "Stop using Baidu—the more you search, the more convinced you become that you are finished." The App even hides an Easter egg: send a red-apple emoji, and the AI doctor will be "driven away," invoking the saying that an apple a day keeps the doctor away. This sense of humor and precise attack on a pain point in lower-tier markets, anxiety about medical care, made it number one on the ranking.

8\. Lingguang, monthly-active-user growth +35%

What does it do? A full-modal AI assistant launched by Alipay.

Why did it explode in December? "Instant apps." Tell it, "I want a Spring Festival duty-roster generator," and after 30 seconds it truly generates a usable mini-app. By December, users had created 3.3 million of these disposable small apps with it. It filled fragmented needs that large Apps disdain.

9\. Muse AI, monthly-active-user growth +41%

What does it do? A music-generation App that can be understood as "Suno + WeSing."

Why did it explode in December? Year-end entertainment demand. It introduced "one-click generation of Christmas hits" and "AI MV" functions. In China, AI must first serve as social currency. Users generate songs with it not to release records, but to post them on social media.

IV. The "Business" of Emotion: Searching for Lost Time in AI

Finally, let us examine applications that touch the depths of human emotion.

10\. Artimind, download growth +896%

What does it do? An AI image-to-video tool.

Why did it explode in December? The source describes growth of nearly 9 times, attributing it to one thing it did right: at Christmas, it helped people "revive" relatives. Users uploaded old photos of deceased loved ones, and AI made the people in those photos blink, smile, and move. This "digital resurrection" spread virally on TikTok, striking humanity's softest nostalgic need. \[The listed +896% is an increase of 8.96 times the previous amount, resulting in a level 9.96 times as high; “nearly 9 times” here describes the increase, not the final level.\]

11\. Retake, download growth +266%

What does it do? An AI tool for photo restoration and facial-expression management.

Why did it explode in December? "Saving ruined photos." At year-end, everyone was posting a "2025 annual review," and Retake could repair meaningful photos in which someone's eyes were closed or expression had failed. It also emphasized the realism of "anti-filtering," appearing less artificial than beauty-camera software and perfectly matching the aesthetics of Generation Z.

12\. Talkie, download growth +124%

What does it do? An AI role-playing chat application under the MiniMax company.

Why did it explode in December? A multimodal upgrade. Avatar Video 2.0, released in December, allowed an AI companion not only to type but also to conduct video calls like a real person, with highly natural expressions and lip synchronization. Amid today's loneliness economy, this is not merely software; it is many people's "emotional oxygen tube."

13\. Meta AI, monthly-active-user growth +21%

What does it do? An AI assistant embedded in Facebook, Instagram, and WhatsApp services.

Why did it explode in December? A compulsory gateway. On December 16, Meta updated its privacy policy, began using AI-conversation data to optimize advertising, and deeply integrated Meta AI into the search bars of every App. You may not have downloaded it intentionally, but, the author argues, if you use Instagram, you are already its user. \[Exposure to an integrated entry point is not itself evidence of active use; the source does not establish that every Instagram user is counted as a Meta AI active user.\]

Epilogue: 2026, AI's "Inaugural Year of Action"

Closing this ranking for December 2025, a clear trend emerges:

AI's "era of conversation" has ended. We are no longer satisfied with chatting to AI; we want it to work, through Replit and Genspark; create dreams, through Sora and KLING; provide medical guidance, through Ant Afu; and even love on our behalf, through Artimind and Talkie.

The future AI giant may not be the one with the highest intelligence, but the one that best understands how to turn "cold computing power" into "concrete action" and "warm emotion."

This is no longer a competition about code; it is a competition in understanding human nature.

01\. About Us

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02\. Research Statement

2.1 Data Notes

AI-product revenue data in this report, article, ranking, or chart are based on real-time tracking of traffic moving from official AI-product websites to payment gateways such as Stripe, combined with time-series analysis to examine historical visits, fluctuations in monthly active users and changes in pricing strategies, thereby constructing a dynamic revenue-estimation model. The model's core parameters are determined through a three-part validation system comprising paid-conversion-funnel monitoring, reverse calibration against corporate disclosures, and comparisons with industry benchmark conversion rates, and are promptly compared with and corrected against corporate financial reports, financing announcements, and authoritative media disclosures. Sampling validation shows that the mean absolute error rate between predictions and actual data remains within ±10%, meeting industry-research accuracy standards.

AI-product traffic data in this report, article, ranking, or chart are based on multisource data integration and processing by Unique Research's intelligent algorithms. The monitoring scope is strictly limited to users' direct access through official applications and websites. Specifically, these data cover only user behavior involving direct visits to AI products through websites and native applications and exclude traffic generated through the following access methods: browser plug-ins/extensions, desktop client software, WeChat/Alipay mini-program ecosystems, embedded services on third-party platforms such as Discord, local deployment of open-source models, API calls, and other nondirect-access scenarios. The data focus on monitoring direct use of AI products through core user endpoints, aiming to reflect objectively mainstream users' direct terminal usage.

Given the complexity and dynamic nature of data collection and processing, as well as continuing changes in the market environment, the displayed data may contain some errors and omissions. These data should therefore be regarded as references for research and analysis, intended to provide users with a window into the AI-product market, rather than definitive evidence for making specific investment strategies or providing consulting advice.

Explanation of Data-Coverage Expansion:

We are actively developing and testing monitoring models in the following emerging fields and expect to incorporate them gradually into future quarterly reports:

AI agent ecosystems, or Agents

AI hardware-device sales and activity

Estimates of foundation-model API call volume

Please stay tuned.

2.2 Concept Definitions

• Geographic dimension

Overseas AI products: products founded by entrepreneurs or teams not of Chinese heritage and launched primarily for global markets, including but not limited to their home markets.

Domestic AI products: products founded by entrepreneurs or teams of Chinese nationality and launched primarily for China's domestic market.

Outbound Chinese AI products: products founded by entrepreneurs or teams of Chinese heritage but principally targeting overseas markets outside mainland China.

• Functional dimension

AI-native applications: applications that deeply integrate artificial-intelligence technologies and algorithms from the beginning of product design and whose core value, business processes, or user experience depends entirely on AI technology. These applications do not merely use AI to optimize or enhance existing functions; AI is their core component, and without AI technology, they would cease to exist or lose their central value.

AI-feature applications: applications that integrate or embed AI technology into an existing business logic and application framework to enhance existing functions or provide entirely new ones. These applications may originally have had mature business models and market positioning, but introducing AI technology can significantly improve efficiency and user experience or create new value points.

AI-ecosystem applications: platform applications that support, connect, or facilitate communication among the AI ecosystem's technology researchers, application developers, service providers, end users and others. These applications extend beyond technology to markets, communities, resource sharing, and other dimensions, with the aim of promoting AI adoption, innovation, and collaboration.

2.3 Metric Notes

• WEB Data Metrics

Visits: the total number of all visits to a website within a specified period, such as one month, used to measure traffic scale. Page views during a continuous active period count toward the same session; renewed activity after an interval of more than 30 minutes or the beginning of a new day counts as a new visit, enabling comprehensive and precise measurement of website traffic and visitor activity.

Unique Visitors: the number of distinct IP addresses visiting a target website within a specified period, such as one month. If someone visits a website on multiple days within a month, they count as only one unique visitor.

Subscription revenue (labelled ARR in the source): the total revenue obtained by a website during a specified period, such as one year, from subscription services provided to users. This excludes revenue from advertising, transaction commissions, professional services, and other one-off components. This preserves the source's period-revenue definition rather than substituting annualized recurring revenue.

• APP Data Metrics

Downloads: the number of times users download an App within a specified period, such as one month. It is generally measured by the download count for an individual App in application stores such as the App Store and Google Play. Downloads are one metric of an App's popularity and user appeal and can also reflect the effectiveness of its promotion and marketing activities.

Active Users: the number of distinct users who performed an activity within a specified period, such as one month. Active users measure user participation and activity during a given period and are commonly used to assess an App's user scale and activity.

In-app purchase revenue, or IAP: revenue generated when users purchase virtual goods, additional services, premium functions, and other items within an App. This excludes advertising revenue, direct user payments such as gratuities, and revenue from third-party Android application stores.

2.4 Free-Use Statement

This report is published by Unique Research and its copyright belongs to Unique Research. Any Chinese-language reproduction or citation must identify the report source; overseas institutions seeking to reproduce or cite it should request authorization in advance. When citing data, use "Data source: Unique Research"; when directly citing charts, use "Data source: Unique Research; chart produced by Unique Research."

This report is Unique Research's independent original analysis as a third-party institution. Its content does not represent the position of any company and does not constitute investment advice for anyone. Investors must therefore note that Unique Research, its employees, and affiliated organizations bear no relation to any investment decisions made on this basis.

Where permitted by law, Unique Research and its affiliates may hold equity in companies mentioned in the report or provide, or seek to provide, fundraising, financial-advisory, or other related services to them. Employees may serve as directors of companies mentioned in the report.

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Original publication: https://uniqueresearch.substack.com/p/src-20260204-04html
On-site reading page: https://ffcap.cn/en/research/src-20260204-04html
