While I understand the sentiment behind your statement, I believe it’s important to distinguish between generative AI and the other technologies you’ve mentioned. Generative AI, unlike the metaverse, 3D TVs, NFTs, and cryptocurrencies, has already demonstrated substantial and practical applications across various fields.
Firstly, generative AI has proven its worth in industries such as healthcare, where it aids in diagnosing diseases and personalising treatment plans. It’s being used in environmental science to predict climate changes and in the creative arts to assist artists and writers. The transformative impact of AI on productivity and innovation is evident and growing.
Secondly, generative AI is continuously evolving. Advances in machine learning and data processing mean that AI models are becoming more accurate, efficient, and capable of handling complex tasks that were previously thought to be impossible. This constant improvement is a testament to the technology’s robustness and potential for long-term relevance.
Unlike 3D TVs, which had limited content and user appeal, or NFTs and cryptocurrencies, which are often plagued by market volatility and regulatory uncertainties, generative AI offers tangible benefits and solutions to real-world problems. Its integration into everyday tools and services demonstrates its practicality and value.
Lastly, the societal and economic investment in AI technology far exceeds that of the other technologies you’ve listed. Major industries and governments are heavily investing in AI research and development, recognising its potential to drive future growth and innovation.
While it’s healthy to remain critical and cautious of technological hype, dismissing generative AI as a fad overlooks its proven capabilities and ongoing advancements. It’s here to stay, and its potential is just beginning to be realised.