Artificial intelligence is poised for continued advancement and broader integration across various sectors by 2026, building upon recent developments in generative models, reasoning capabilities, and scientific applications. Predictions from MIT Technology Review's "What's Next" series suggest that several key trends observed in 2025 will likely solidify and expand in the coming year.

One area of significant growth is expected to be in generative virtual playgrounds, also known as world models. These AI systems, capable of generating realistic virtual environments on demand, have seen rapid improvement, with examples like Google DeepMind's Genie and World Labs' Marble demonstrating the potential for creating immersive and interactive simulations. This technology could revolutionize fields such as gaming, education, and training, allowing users to explore and interact with virtual worlds in unprecedented ways.

Reasoning models, which have emerged as a dominant paradigm for problem-solving, are also expected to continue their upward trajectory. These models leverage advanced algorithms and vast datasets to analyze complex problems and generate intelligent solutions. Their applications span a wide range of industries, from finance and healthcare to logistics and manufacturing, where they can optimize processes, improve decision-making, and automate tasks.

The application of AI in scientific research is another area ripe for expansion. Following in the footsteps of Google DeepMind, OpenAI has established a dedicated team focused on AI for science, signaling a growing recognition of the technology's potential to accelerate scientific discovery. AI can assist researchers in analyzing large datasets, identifying patterns, and generating hypotheses, ultimately leading to breakthroughs in fields such as medicine, materials science, and climate change.

Furthermore, the relationship between AI companies and national security is expected to deepen. OpenAI, for example, reversed its initial stance on the use of its technology for military applications and signed a deal with defense-tech startup Anduril to assist in countering battlefield drones. This trend raises ethical questions about the role of AI in warfare and the potential for misuse, but it also reflects the growing recognition of AI's strategic importance in national defense.

Looking ahead, the continued development and deployment of AI technologies will likely have profound implications for society. As AI becomes more integrated into our lives, it is crucial to address issues such as bias, fairness, and transparency to ensure that these technologies are used responsibly and ethically. The ongoing debate surrounding AI regulation and governance will also play a critical role in shaping the future of AI and its impact on society.