Enforcement challenges and solutions with respect to AI and intellectual property are discussed. The challenges include the complexity and constant evolution of AI, the high costs and limited access to automated tools for enforcing copyright, the lack of transparency in anti-piracy systems, the limitations of AI tools in searching for unregistered designs or unreported copyright infringements, the advantage of large firms in using AI for infringement identification, data sharing and GDPR compliance issues, the complexity of patent language and legal action costs, the lack of clarity and protection in laws and policies, and the lack of standardization and interoperability. The solutions mentioned include AI-powered monitoring and detection tools, AI-based solutions offered by the European Union IP Office, blockchain technology for transparent record-keeping of intellectual property ownership, big data analytics for identifying patterns of infringement, machine learning and natural language processing for automating IP filing processes, and digital rights management systems specific for intellectual property.