PLM
PolyMet Mining Corp.
stock NYSEAMERICAN

I think for sure generative design if going to be a big part of the computer aided engineering market. But I think it will largely remain the domain of the main CAE vendors.
This is because the tool chains involved are very complex and increasingly involving multiphysics and domains, with the key for development companies been an efficient workflow enabled by the software. So CAD design and geometries, pre and post processing of the simulation data and the storage of product data in a PLM system.
These thing can be enhanced by generative AI (for doing geometry and mesh iterations, running multiple simulations), but you still need a database, you still need the solvers and material libraries and any number of other things for the most efficient workflow. What i have seen is AI in the industry right now is a plug in that sit on top of the existing software to access these things.
There are already free tools for simulation and databases out there. Write some code in Python ect, you can do an accurate CFD simulation. But connecting all this together in the best way - (quickest, best use of data after wards) - with application support and enterprise implementation will always been needed for any serious product development company.
Maybe a start up will disrupt with a new product - but my bet would be on the main ones (CADENCE, Synopsis, Siemens, Dassult, PTC) keeping the lead.

I think for sure generative design if going to be a big part of the computer aided engineering market. But I think it will largely remain the domain of the main CAE vendors.
This is because the tool chains involved are very complex and increasingly involving multiphysics and domains, with the key for development companies been an efficient workflow enabled by the software. So CAD design and geometries, pre and post processing of the simulation data and the storage of product data in a PLM system.
These thing can be enhanced by generative AI (for doing geometry and mesh iterations, running multiple simulations), but you still need a database, you still need the solvers and material libraries and any number of other things for the most efficient workflow. What i have seen is AI in the industry right now is a plug in that sit on top of the existing software to access these things.
There are already free tools for simulation and databases out there. Write some code in Python ect, you can do an accurate CFD simulation. But connecting all this together in the best way - (quickest, best use of data after wards) - with application support and enterprise implementation will always been needed for any serious product development company.
Maybe a start up will disrupt with a new product - but my bet would be on the main ones (CADENCE, Synopsis, Siemens, Dassult, PTC) keeping the lead.