Generative artificial intelligence (AI) is predicted to add $13 trillion to the global economy by 2030, according to a report by Google Cloud and Oxford Economics. This technology, which includes tools such as GANs (generative adversarial networks), can create new content, including images, text, and data, based on existing models. The report suggests that the technology could boost global GDP by 1.2% annually.
The study also highlights that generative AI could help address the world’s most pressing challenges, including climate change and healthcare. In healthcare, the technology could be used to generate synthetic data to train AI models without compromising patient privacy. Meanwhile, in the field of climate change, generative AI could assist in the creation of more efficient energy systems.
The report also warns of potential risks associated with generative AI. These include the spread of disinformation, privacy concerns, and potential job losses due to automation. It emphasises the importance of managing these risks through regulation and the development of ethical guidelines.
The study concludes that the potential benefits of generative AI are substantial, but its development and deployment must be carefully managed to avoid potential pitfalls. It recommends that businesses and governments collaborate to ensure the technology is used responsibly and ethically.
Go to source article: https://blog.google/technology/ai/a-new-report-explores-the-economic-impact-of-generative-ai/