News

What AI is already doing in energy procurement:

Forecasting Energy Demand and Prices
AI models (especially using machine learning) are excellent at predicting short-term and long-term energy prices and consumption patterns based on weather, usage, market trends, and grid data.
Automating Procurement Decisions
For large organizations, AI tools can:

Compare supplier bids
Simulate risk scenarios
Recommend optimal contract types (fixed vs. variable pricing)
Optimizing Renewable Energy Use
AI helps manage when and how to buy/store/sell energy, especially with renewables (e.g., solar/wind), whose supply is variable.
Energy Trading
Some firms use AI bots to execute trades in energy markets (like electricity or natural gas) based on real-time data.

???? Where AI still needs help (won’t "take over" yet):
Strategic Negotiations
Human relationships still matter in supplier negotiations, contract terms, and regulatory interpretation.
Long-Term Risk Assessment
AI can model scenarios, but final decisions about geopolitical risk, regulatory changes, or ESG goals are still human-led.
Ethical and Regulatory Oversight
Decisions like how "green" your supply should be, or which carbon offsets to purchase, often require board-level and values-based judgment.

???? What might happen soon:
Mid-sized businesses may use AI-powered platforms to fully automate routine procurement within 3–5 years.
AI assistants may help energy managers write RFPs, evaluate bids, or simulate outcomes.
Advanced AI could help cities and industries buy energy cooperatively or in dynamic real-time markets.

???? Bottom Line:
AI won’t take over all of energy procurement, but it will automate much of the analysis, forecasting, and routine decision-making. People will still be key for oversight, strategy, and negotiations — but they’ll be augmented by AI in powerful ways.