The slow rise of AI-based hype in AM
The Atomic Layers: S6E8 (00155)
Atomic Layer of the Day:
In an article outlining my expectations for the AM industry in 2025, I emphasized the need to support the development of AI-driven AM software. I also recently noted, when discussing 3D technology's position on Gartner’s hype cycle, that the next Technology Trigger would likely be AI-oriented software.
And you know what? It’s starting to look like that’s beginning to happen.
As you’re probably aware, technology development typically takes one of two paths:
The obvious and attention-grabbing one for ordinary people, though often not entirely functional.
The specialized and less accessible path for laypeople, which focuses on solving real-world problems.
The first path attracts investors and, later, shareholders when a company goes public. Meanwhile, those pursuing the second path face significant challenges from the outset. Yet, when they succeed, their solution often becomes the industry standard—long after the creators of the first path have gone bankrupt.
For AI-based software, I’d place applications like “text-to-model” tools in the first category. These generate 3D objects based on a text prompt or an uploaded drawing, photo, or graphic.
These applications will gain immense popularity because they’re simple, intuitive, and understandable to nearly anyone—even those who aren’t users themselves. They also align with the proven, widely used AI model popularized by tools like ChatGPT, Grok, or Gemini. However, instead of generating text or images, these will produce three-dimensional designs for 3D printing.
In reality, it will take a long time before such AI applications become fully functional—capable of generating 3D designs from text or photos that are properly parameterized and account for the intricate design nuances that human designers intuitively understand.
Note: I’m not saying it’s impossible, only that it will take time. In the interim, both users and investors will be sold the vision in the form of MVP versions. Whether those versions ultimately deliver or not remains to be seen.
Examples of early-stage projects that demonstrate some capability but are still quite limited include PrintMon Maker from BambuLab, Backflip, and the recently introduced Poloprint Cloud AI 2.0 from China’s ENTINA3D.
In the second category—specialized and less accessible to the average person—we find advanced tools for 3D design or optimization of printing processes (such as the 1000 Kelvin solution I’ve previously discussed).
Let’s watch this space closely and remain cautious. Initially, everything will look like diamonds, but only a few will turn out to be the real deal.
Atomic Layer from the Past:
01-08-2014: 3D Systems appointed pop and hip hop star – will.i.am, as its Chief Creative Officer.
01-08-2020: Michael Molitch-Hou joined 3DPrint.com.
News & Gossip:
Agile Manufacturing, a leading Canadian 3D printing bureau, added its ninth SLA printer from 3D Systems. Over half its fleet (25 of 45 machines) comprises 3D Systems equipment, including large-format SLA and other additive manufacturing technologies. Agile also serves as a 3D Systems reseller, offering machines, materials, and services nationwide.
LOOP 3D has successfully installed five PRO X+ TURBO 3D printers at HİDROMEK, Europe’s largest construction machinery manufacturer. The milestone highlights LOOP 3D’s dedication to polymer additive manufacturing.
Siemens launched its "Siemens for Startups" program at CES 2025, supporting early-stage engineering and manufacturing startups with software, hardware, and venture services. Key pillars—Connect, Collaborate, Empower—enable startups to access Siemens Xcelerator tools, AWS resources, and partnerships. Highlighted startups include Haddy, Arkisys, and EthonAI, fostering innovation and accelerating growth.