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AI revolution in energy and commodity trading - unlocking real value

Panel discussion hosted by Salesforce, Terranoha, and Baringa

5 min read 1 July 2025 By Olena Isaieva, expert in Commodities and Energy Trading, and David Kane, Partner, expert in Energy and Resources

On June 25th, Baringa, Salesforce, and Terranoha welcomed industry leaders from commodity trading, and technology in Geneva for an insightful conversation on how AI is transforming the trading world. 

AI is no longer just a buzzword - it's transforming commodity trading today. While there's tremendous excitement about AI's potential in trading, the real question is what's actually achievable right now. During our panel event, we moved beyond the hype to explore practical, high-impact applications that trading companies can implement today, alongside the realistic roadmap for tomorrow's possibilities. 

Insights from the Panel Discussion 

A panel featuring experts from Baringa, Salesforce and Terranoha shared practical insights into the use of AI and AI agents in trading operations. Key takeaways included: 

Why AI Agents?  
  • Scale without headcount: AI enables business growth without adding more people. 
  • Eliminate manual friction: AI agents act as tireless employees, handling tasks 24/7. 
  • Smarter operations: AI doesn’t just automate — it changes the decision-making process in volatile, complex environments where traditional rules fall short. 
AI + Humans: A New Way of Working 
  • Augment, not replace: The real power lies in pairing humans with AI agents. Humans focus on innovation, critical assessment and managing exceptions; AI handles routine, context-based decisions, and triggers actions autonomously. 
  • When rules aren’t enough: Unlike RPA, which is rigid, AI can recognize when situations deviate from the rules and escalate for human input. 
  • AI is not infallible: Like humans, agents can make mistakes. Rigorous testing is essential to build robust solutions. 
Barriers to Overcome 
  • Data fragmentation: Siloed Excel files and disconnected systems make AI adoption harder. 
  • Cultural resistance: Fear of losing control, unclear governance, and hesitation about results slow progress. 
  • Security concerns: Valid — but manageable with strong data boundaries and governance. 
How to Start 
  • Start small. Start focused. But Start Now: Pick one simple, repetitive task and automate it. Build trust and expand from there. 
  • AI isn’t the future. It’s now. 

Conclusion 

We are not talking about the future — we’re talking about the present. AI is already reshaping the trading landscape, empowering teams, and redefining roles. As the technology matures, firms that embrace it intelligently will not only gain efficiency but also a significant competitive edge. 

Stay tuned for more insights and upcoming events from Baringa, as we continue exploring the frontiers of AI in trading. 

Panel discussion AI in trading Geneva

 

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