Technology Convergence Report 2025
Page 18 of 60 · WEF_Technology_Convergence_Report_2025.pdf
Multi-agent autonomy
The combination of AI agents with spatial
intelligence and omni computing is creating a
new generation of systems capable of making
independent decisions in complex, real-world
environments and collaborating as multi-agent
systems. These coordinated collectives can
distribute tasks across specialized agents, with
some handling logistics, others quality control
or maintenance prediction, while maintaining
unified goals, similar to a digital workforce
operating at machine speeds. This represents
a fundamental shift from traditional rule-based
automation to dynamic, context-aware systems that can respond to uncertainty and changing
conditions. The systems make decisions based
on real-time information, learn from outcomes and
continuously improve their performance without
human intervention.
Agentic AI provides the decision-making framework,
while reinforcement learning enables these systems
to improve through experience rather than explicit
programming. Spatial intelligence and computer
vision give the system situational awareness,
allowing it to understand and navigate complex
environments. When integrated with advanced
robotics, these technologies create machines
that can not only perceive and analyse but also
physically act on their decisions (see section 2.5).
2
3 2
3 2
3 2Multi-agent
systemsAutonomous agent
Smart sensors
Reinforcement
learningPredictive
analysis
Real-time
analytics
Spatial memory
/navigationObject recognition
and manipulationMaturity level
3 Product4 Commodity
1 Genesis2 Custom-builtN
Industry Company Outcome
ITDeepSeekDeepSeek’s novel counterfactual preference optimization
reinforcement learning technique significantly enhanced
reasoning capabilities while reducing hallucinations in LLMs.
By open-sourcing these advancements, they democratized
access to cutting-edge AI, enabling researchers and smaller
organizations to build upon state-of-the-art capabilities.
ITSalesforceAgentforce could accelerate access to customer relationship
management (CRM) data, transforming personalized
customer interactions and enabling companies to deliver
faster, improved experiences at scale.
Technology
domain
Artificial intelligence
Omni compute
Spatial intelligence
Technology Convergence Report
18
Ask AI what this page says about a topic: