By shortening development cycles from weeks to days, the efficiency gains AI brings to enterprises are immediate and striking.
Recently, the 2026 Amazon Web Services Automotive and Manufacturing Industry Summit was held in Foshan. During the summit, Holly Liu, General Manager of Creative Ecosystem, Zhu Guifeng, Head of the Information Technology Center at Creality, and Jiang Rui, AI Development Manager, in an interview with the media, used a set of quite specific figures to describe how a Chinese 3D printing company used AI Coding to rewrite its own R&D rhythm—not only shortening the development cycle from weeks to days, but also increasing efficiency by 3 to 5 times and improving code quality by 30%.
From buying equipment to creating works: user demand drives competitive upgrading
When discussing how 3D printing companies can transform and upgrade amid the AI wave, Holly Liu highlighted the industry context of this transformation: according to CIC data cited in Creality's prospectus, measured by GMV (the value of products and services in the retail market), the global consumer-grade 3D printing market was $6 billion in 2025 and is expected to reach $27.2 billion by 2030. 3D printing, together with AI phones and embodied robots, has been listed as a new consumer format of national attention.
While the market grows, hardware technology also continues to advance. Taking 3D printers as an example, the prospectus discloses that its core products can reach a maximum printing speed of 700 mm/s. As equipment capabilities improve, how to make these capabilities better serve users' creativity and practical uses has become a question enterprises need to answer further.
[Holly Liu, General Manager of Creative Ecosystem]
In Holly Liu's view, for creative devices such as 3D printers and laser engravers, what needs to be answered in the next stage is whether users can turn their ideas into the works they truly want, and whether the devices they buy can continue to deliver value in real scenarios. Improvements in device processing efficiency, precision, and ease of operation provide the foundation for creation; going from "the machine can engrave or print" to "the user can complete their own creation" also requires connecting creative expression, design generation, material selection, and processing and production. What users need is a complete set of services that can help them turn ideas into works.
"Customization" here means that users can actively express their needs and make design and production results conform to their own aesthetics and practical uses. Ready-made models and patterns can serve as a starting point, while AI and the cloud should further help users realize their own ideas. The criterion for evaluating results should move from "whether a model or pattern was generated" to "whether a work the user truly wants and can use was made." The "peony flower" mentioned by Holly Liu in the original interview emphasizes exactly this kind of match: it conforms to what the user has in mind and also meets structural, process, and usage requirements.
One body, two wings: organizing complete solutions around real scenarios
Around this direction, the "one body, two wings" strategy proposed earlier by Creality Chairman Chen Chun established a framework for the coordination of hardware, cloud, and AI: with creative devices such as 3D printers and laser engravers as the "one body" foundation, and "Creality Cloud" and the "AI ecosystem" as the "two wings." In Holly Liu's interpretation, this strategy should go deep into users' real scenarios and organize equipment, software, accessories, consumables, content, AI, and the surrounding ecosystem into a complete set of solutions. Every link a user needs to complete a creation must work together; lacking key capabilities among them, even strong performance in a single hardware item may leave creation stalled halfway.
Among them, "Creality Cloud" plays the role of sparking inspiration, accumulating content, and lowering the threshold for creation, helping users find paths to realize existing ideas and, through content and creative inspiration, enabling users to discover new uses and develop new creative intentions. The "AI ecosystem" connects intelligent technology, applications, and external resources to help users express and realize personalized needs. The deep coordination of the two wings needs to run through the entire process of inspiration, creative generation, design refinement, and engraving or printing production, and together with equipment, materials, and processes serve the final realization of the work.
A complete solution needs to be organized around specific scenarios. For household and outdoor use, the purpose, materials, and usage environment of the work must be considered; for example, when making an outdoor pet house with 3D printing, sun protection and rain resistance need to be considered. For gift customization and small-scale commercial production, the pattern design, processing materials, process settings, and production workflow of laser engraving also need to match one another. Individual users care about whether they can conveniently complete their own creations, while users running businesses also care about whether customization needs can be efficiently and stably converted into finished products. Therefore, materials such as models and patterns are only one link in the solution; software, accessories, consumables, and production processes are equally related to whether a work can be made and whether it can meet its use.
"Worry-free creation" also needs to be reflected in concrete experiences: making it easier for users to get started, reducing the burden of repeatedly figuring things out across different tools and production steps, improving completion efficiency from design to finished product, and at the same time taking into account information privacy and device usage safety. For 3D printing and laser engraving, whether creativity can be expressed, whether works can be realized, and whether the creation process can be simple, efficient, and reassuring together form the criteria by which users judge whether a complete solution is valuable.
"The core is still user (scenario) driven," Holly Liu emphasized. Under the group strategy, "one body, two wings" must ultimately solve real problems for users in real scenarios. This also links "customized creative realization" with "increasing device usage frequency": only by continuously helping users complete the works they want to make and discover new creative uses can reasons be created for the next use. As scenario needs continue to be met, content, accessories, consumables, and services also have the opportunity to form sustained use and repeat purchases, extending the relationship between users and the brand. For users, this long-term value is ultimately reflected in being able to express themselves more freely, realize personalized customization, and thereby "create worry-free and express their true selves."
Efficiency increased 3 to 5 times, quality improved by 30%, development cycle from "weeks" to "days"
To translate needs in user scenarios into products and services faster, the R&D system needs corresponding responsiveness. Zhu Guifeng, Head of the Information Technology Center at Creality, introduced that cooperation with Amazon Web Services is providing support for this direction through R&D efficiency improvement and the accumulation of development assets.
[Zhu Guifeng, Head of the Information Technology Center at Creality]
Zhu Guifeng divided Creality's AI Coding advancement into three steps:
The first step is company-wide awareness advocacy: starting with Kiro-related training organized in April this year, the CEO published an article in the company's internal community on company-wide AI transformation, core organizations selected AI pioneers, case practice was carried out around four types of real scenarios—HR, sales, customer service, and operations—and best practices were accumulated through the AI Pioneer Competition.
The second step is tool introduction: according to Zhu Guifeng in the interview, all positions involving development currently use Kiro, and more than 200 people use it to improve R&D efficiency.
The third step, the implementation of AI Coding, is the most important and also the most difficult: among these, asset library construction is relatively difficult. Zhu Guifeng pointed out that AI learns and produces by imitation. Whether AI can output stably depends to a large extent on asset libraries for constraints. These asset libraries are the result of considerable joint effort by Amazon Web Services and Creality, such as the current Harness engineering. "If AI is to become an efficiency tool according to our wishes, we must be able to control it."
According to Zhu Guifeng in the interview, after introducing Kiro, R&D efficiency increased by about 3 to 5 times, code quality improved by 30%, and the development cycle was shortened from weeks to days. Moreover, the application of AI Coding does not stop at the coding stage, but covers everything from PRD requirements and design all the way to coding, testing, and deployment.
On the business side, this capability has fully entered the development of slicing engines, host computer software, 3D printing firmware, and cloud platforms. On the IT line, the team has private architectures for about 30 systems and recently advanced projects such as the material compression platform, the overseas OMS-B system, the corporate culture community, and the unified permission center, and is currently advancing the overseas OMS-C system and the MDM system.
More than efficiency: front-end and back-end integration and an "unannounced" organizational change
The cooperation between Amazon Web Services and Creality around enterprise transformation has brought more than improvements at the efficiency level. What truly makes this transformation go beyond "tool upgrading" is its reshaping of the enterprise's organizational structure.
Zhu Guifeng mentioned an intuitive change: in the past, system development usually distinguished front-end and back-end, but after using Kiro, the two gradually merged into one, and one position can take on more complete work. In his view, developers transitioning to full-stack capabilities, combined with the efficiency gains brought by AI tools, enable the team to complete delivery faster.
Holly Liu described this change from another angle. In her view, AI Coding enables the team to re-break down the work chain and adjust staffing and collaboration methods. After successful pilots, it can be further transformed into large-scale replication. "The connections between organizations will naturally become another form; there is no need to deliberately push change. Real change often happens imperceptibly." In Holly Liu's view, the thinking of the organization and talent changes subtly, and the organization does not clearly feel pain or discomfort—this is precisely the mark that change can truly take root.
Jiang Rui further supplemented the path for advancing enterprise transformation: first find pain-point scenarios, quickly validate through POC, jointly create with Amazon Web Services architects and the team, and then promote coverage. "An 'influencer effect' has formed internally, starting from a single scenario and quickly achieving chain-reaction, explosive growth."
[Jiang Rui, AI Development Manager at Creality]
A global choice: compliance is only the baseline, value is the yardstick
According to the prospectus, as of December 31, 2025, Creality's sales network covered about 140 countries and regions worldwide. As a company facing the global market and also listed in Hong Kong, Creality is particularly prudent when choosing cloud service partners.
"The first consideration is compliance and security," Holly Liu said. From the user's perspective, users should not worry about privacy and data security when using cloud tools; only when they no longer worry can creativity be unleashed. From the enterprise's perspective, compliance is crucial. The second consideration is the stability of service, architectural capability, and long-term support capability when cloud services replace an organization's original processes and tools on a large scale.
When discussing deployment details, Zhu Guifeng revealed that Creality's overseas business is basically built on Amazon Web Services, including the relevant data deployed there, so when using Amazon Quick, data will not flow back to China but will be processed directly overseas; domestic business uses domestic data services. This distinction stems from different regulatory requirements at home and abroad—China has the Personal Information Protection Law, while overseas there are strict regulations such as GDPR. "Compliance is our baseline. Especially for companies of a certain scale and listed companies, we cannot take risks in this regard."
When talking about the recent price reduction trend among cloud service providers, Zhu Guifeng's answer was quite representative: "The key is not whether it is expensive, but whether it can solve the problem. If it can solve the problem, we can understand a higher price; if it is cheap but cannot solve the problem, then it is meaningless."
Holly Liu supplemented from the two dimensions of value and competition. She pointed out that price and cost are not fixed and unchanging, and the marginal effects differ in the early, middle, and late stages. Therefore, in cooperation, one should act in line with the trend and jointly create value. In years of practice, Holly Liu's deepest personal insight is that "not having to start over is what makes speed, and being able to accumulate is what makes abundance": the former corresponds to an enterprise's decision-making ability, while the latter refers to whether an enterprise can accumulate architecture and capabilities. When asked how far it is from "user-defined aesthetics and needs," Holly Liu used an analogy: if advanced independently, it is estimated to take 3 years, while with Amazon Web Services cooperation, it may take only 1.5 years.
Under the "one body, two wings" strategy, the value of hardware, cloud, and AI must ultimately be reflected through users' creative experience and completed works. Internally, Creality and Amazon Web Services jointly advance R&D efficiency improvement, organizational collaboration, and capability accumulation; for users, these capability-building efforts must support more complete scenario solutions. From sparking creative willingness, to helping users efficiently and reassuringly complete engraving or printing, to continuously meeting new creative needs, whether this chain can operate smoothly has become the footing for Creality's advancement of AI and ecosystem coordination.
