IBM AI Roadmap
Large-scale self-supervised neural networks, which are known as foundation models, multiply the productivity and the multimodal capabilities of AI. More general forms of AI emerge to support reasoning and commonsense knowledge.
AI
Roadmap
Strategic milestones
All information being released represents IBM’s current intent, is subject to change or withdrawal, and represents only goals and objectives.
You can learn more about the progress of individual items by downloading the PDF in the top right corner.
2030+
Build adaptable and generalist AI for effective human-machine collaboration.
Our AI models will be composed of modules with different cognitive abilities (e.g., perception, memory, emotion, reasoning, and action), enabling them to exhibit behavioral norms for social interactions and mutual theory of mind.
Why this matters for our clients and the world
By being able to predict, act, plan, and adapt to new situations and environments, these unified neural architectures will enable a broad variety of use cases requiring effective human-machine collaboration.
The technologies and innovations that will make this possible
We will develop memory encodings of different sensory perceptions (e.g., visual, olfactory) that will make AI weigh rewards and threats, safely interact with the world, and find optimal ways to achieve goals. We will build AI hardware that will natively support heterogeneity in neurons and neural connections to provide a level of energy efficiency similar to biological intelligence.
How these advancements will be delivered to IBM clients and partners
watsonx will support effective human-machine and machine-machine collaboration.