The future of AI is expected to be shaped by a combination of technological advancements, with a significant impact on society. Generative AI models have shown immense promise, but their limitations have also become well known. As a result, the future of AI is being defined by a shift toward both open source large-scale models for experimentation and more specialized applications.
In the near term, AI is likely to continue powering automation and data analysis, with widespread adoption of autonomous machinery and AI-powered personalization expected. Quantum computing, still in its infancy, will potentially power AI algorithms in the future, supercharging their ability to process huge datasets and solve complex problems.
Machine learning, a form of artificial intelligence that can learn without explicit programming by a human, will play a key role in the future of AI. Tokenization, or creating digital representations of real things, will also be important.