Generative design, where designers incorporate AI algorithms into their processes to create and evaluate multiple designs faster, is the hottest topic in product development right now. The opportunities are there for all to see: the ability to design better, faster, cheaper and more sustainably. However, nothing in life is perfect, and generative design brings a range of challenges that you need to navigate if you’re going to reap the rewards.
In this article, we’ll look at three of those challenges and put forward ways you can overcome them. Let’s get started.
1 – Your designs might be ‘too much’ for some people
The great thing about generative design software is that it’s all about the data. It’s always looking for ways to make designs more efficient, such as using less material or fewer extra parts. Unfortunately, what it doesn’t have any concept of is personal taste. So, some of the designs it produces may be considered a bit ‘out there’ by some.
Stakeholders in your manufacturing process might not appreciate these radically altered designs. They might find them disturbing and want a more human touch, even if the benefits of the new designs are clear. When your stakeholders feel this way, it can slow the acceptance of generative design in your workflows. You must also consider customer tastes when using generative design to create new products or parts.
An effective way around this obstacle is to own it. Promote your company as an innovative design pioneer, not afraid to throw away the rule book. Be proud that you’re using new technology to create a better product and differentiate yourself from the pack.
2 – Your company isn’t ready yet
Incorporating generative AI into your workflows requires a cultural shift in your company, for which your people may not be prepared. Getting the most out of AI-powered software needs different resources in your business and people with different skills.
For example, if AI can automate large chunks of the design process, you may not need highly experienced (and expensive) engineers. Maybe you would find more success with people who know how to get the most from the software? You may also need to rethink your development timelines and resource allocation, as your design process might accelerate quickly when you bring in generative design.
The best way to smooth out these cultural changes is to stay open-minded and flexible. Ensure your teams understand that AI can bring a wide range of benefits to your processes, but also that the future of your business depends on it, as you can be sure your competitors will be using it too.
3 – Your processes aren’t flexible enough
Finally, the tremendous potential of generative design means companies must rethink their entire processes, determining where generative design can be incorporated and what resources (e.g. IT systems, data platforms) you need to make the most of these opportunities.
This may require a great deal of open-mindedness and flexibility. For example, the rapid evolution of generative design tools means companies shouldn’t lock themselves to one vendor. You may get better results from a more modular approach.
Stay agile. Be adaptable. Unlock those benefits.
Looking to the future
We’re barely scratching the surface of what generative design is capable of right now. It won’t be long until generative design algorithms and software are substantially more powerful with a wider array of abilities. How long will it be until an AI-powered program can create an entirely new product from scratch?
The problem for companies – especially long-established, enterprise-level players – is that AI massively lowers the barriers to entry. Suddenly, it’s the businesses that can be the most nimble, the most creative thinking, and make the best use of the latest tech that will win.
Are you ready for this revolution?
Discover Creo.
Creo helps you design better products faster. Your team will appreciate the enhancements to usability and productivity, with new tools for model-based definition (MBD) and additive and subtractive manufacturing. Creo 10 continues to build upon new simulation and generative design capabilities.
