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 empathic and intrinsically responsible AI agents.
Our AI agents will start to understand and adapt to human personality at both the individual and collective levels, thus enabling more natural and effective interactions. The systems empowered by these AI agents will exhibit the emergence of emotional intelligence.
Why this matters for our clients and the world
AI will have the foundations of moral and ethical values and will hence respect social responsibility and self-governance. These AI systems will provide decision support to solve everyday tasks and pressing challenges at global scale.
The technologies and innovations that will make this possible
We will develop novel neural circuits for empathic accuracy and use them together with learning and reasoning modules for effective memory encoding and retrieval. Our AI systems will use deep, active inference mechanisms to efficiently integrate cognitive and empathic neural circuits toward interoception, self-control, and social awareness.
How these advancements will be delivered to IBM clients and partners
watsonx will be empowered by both cognitive and emotional intelligence. We will equip it with motivational awareness and governance mechanisms while it provides critical decision support at different levels of social complexity.