In this final episode on AI and Intellectual Property, the focus is on the evaluation of AI’s impact on the economic and valuation aspects of intellectual property. The conversation covers topics such as accelerated innovation, quality and complexity of AI-generated innovations, changes in IP valuation models, market concentration, IP depreciation, new IP categories, data as IP, labor market impacts, and global disparities. The discussion highlights the challenges and solutions in these areas and emphasizes the need for re-skilling and addressing emotional and sentimental aspects. The importance of data used for training AI models is also emphasized.