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While **generative AI** has a lot to offer, there are challenges to address, as with any emerging technology. One of the main hurdles is the availability of data. The AI algorithms need massive amounts of data to train them. High-quality and well-curated data is essential to achieve good results. Data security is another important consideration. Another challenge is the complexity of the AI algorithms themselves. They require a lot of computing power. Also, it requires specialized expertise to implement and maintain them. The integration of **generative AI** tools with existing design workflows can also be tricky. It requires some changes in the way engineers work.
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