BGC Wants to Turn AI Computing Power into the Next Tradable Commodity

Thursday, 18/06/2026 | 14:03 GMT by Jared Kirui
  • Rising AI demand is turning compute power into a scarce, tradable asset with price volatility.
  • The move comes as BGC reports strong financial growth, with revenues rising 30% in 2025.
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Finance Magnates

BGC Group has introduced BGC Compute Infrastructure Markets, a division designed to support trading in compute and memory capacity.

A growing scramble for AI infrastructure is turning compute power into a tradable asset, prompting BGC Group to launch a new division focused on brokering these emerging markets. The unit will sit within its Energy, Commodities and Shipping business and will initially focus on over-the-counter deals.

It means BGC is trying to turn computing power, like the capacity used to run AI models, into something that can be traded much like oil or electricity. As demand for AI grows, companies need reliable access to chips, servers, and memory, but supply is uneven and prices can fluctuate.

New Unit Targets AI Infrastructure Trading

BGC wants to act as a broker in a secondary market where firms can buy, sell, or hedge this capacity, helping them manage costs and secure supply. In simple terms, it is bringing financial market structure, pricing, liquidity, and risk management , to the business of AI infrastructure.

The move reflects rising demand for AI workloads, which has made access to compute and memory a key constraint for companies. BGC sees this shift as an opportunity to build a structured market where participants can trade capacity and manage price risk.

Read more: BGC’s Revenue Jumps 30% on Strong Markets and OTC Acquisition

BGC plans to apply its experience in energy and commodities brokerage to this new asset class. The firm argues that compute and memory share features with traditional commodities, including volatile pricing and the need for forward contracts.

“Compute and memory capacity have many of the characteristics of a commodity market, including supply-demand volatility , forward price risk and the need for clear pricing,” said Co-CEO John Abularrage.

Applying Commodity Market Structure

The division will be led by Espinosa and Marc Kuber. Clients will also gain access to BGC’s Fenics market data and Lucera connectivity network, which the firm expects will support price discovery and execution. By building brokerage infrastructure around compute capacity, BGC is positioning itself at the center of a developing market tied closely to the expansion of AI.

BGC recently recorded an increase in revenue as stronger trading activity across asset classes and the integration of OTC Global Holdings boosted performance. The firm reported fourth-quarter revenue of $756.4 million, up 32.2 percent year-over-year, while full-year revenue rose 30 percent to $2.94 billion.

Brokerage revenues alone climbed 35 percent, supported by broad-based growth across product lines, particularly in energy, commodities, and shipping, which surged 92 percent due to both the OTC acquisition and organic expansion. Despite the strong top-line growth, profitability was weighed down by restructuring costs. Quarterly pre-tax operating income fell 8 percent to $25 million, reflecting $54.8 million in charges tied to a cost reduction program.

BGC Group has introduced BGC Compute Infrastructure Markets, a division designed to support trading in compute and memory capacity.

A growing scramble for AI infrastructure is turning compute power into a tradable asset, prompting BGC Group to launch a new division focused on brokering these emerging markets. The unit will sit within its Energy, Commodities and Shipping business and will initially focus on over-the-counter deals.

It means BGC is trying to turn computing power, like the capacity used to run AI models, into something that can be traded much like oil or electricity. As demand for AI grows, companies need reliable access to chips, servers, and memory, but supply is uneven and prices can fluctuate.

New Unit Targets AI Infrastructure Trading

BGC wants to act as a broker in a secondary market where firms can buy, sell, or hedge this capacity, helping them manage costs and secure supply. In simple terms, it is bringing financial market structure, pricing, liquidity, and risk management , to the business of AI infrastructure.

The move reflects rising demand for AI workloads, which has made access to compute and memory a key constraint for companies. BGC sees this shift as an opportunity to build a structured market where participants can trade capacity and manage price risk.

Read more: BGC’s Revenue Jumps 30% on Strong Markets and OTC Acquisition

BGC plans to apply its experience in energy and commodities brokerage to this new asset class. The firm argues that compute and memory share features with traditional commodities, including volatile pricing and the need for forward contracts.

“Compute and memory capacity have many of the characteristics of a commodity market, including supply-demand volatility , forward price risk and the need for clear pricing,” said Co-CEO John Abularrage.

Applying Commodity Market Structure

The division will be led by Espinosa and Marc Kuber. Clients will also gain access to BGC’s Fenics market data and Lucera connectivity network, which the firm expects will support price discovery and execution. By building brokerage infrastructure around compute capacity, BGC is positioning itself at the center of a developing market tied closely to the expansion of AI.

BGC recently recorded an increase in revenue as stronger trading activity across asset classes and the integration of OTC Global Holdings boosted performance. The firm reported fourth-quarter revenue of $756.4 million, up 32.2 percent year-over-year, while full-year revenue rose 30 percent to $2.94 billion.

Brokerage revenues alone climbed 35 percent, supported by broad-based growth across product lines, particularly in energy, commodities, and shipping, which surged 92 percent due to both the OTC acquisition and organic expansion. Despite the strong top-line growth, profitability was weighed down by restructuring costs. Quarterly pre-tax operating income fell 8 percent to $25 million, reflecting $54.8 million in charges tied to a cost reduction program.

About the Author: Jared Kirui
Jared Kirui
  • 2849 Articles
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About the Author: Jared Kirui
Jared Kirui is an Editor at Finance Magnates with more than five years of experience in financial journalism. He covers online trading, fintech, payments, and crypto industries with a focus on companies, regulation and compliance, executive moves, trading technology, and market analysis. His work has been featured in other media outlets, including Benzinga, ZyCrypto, The Distributed, and The Daily Hodl. Education: Bachelor of Commerce degree (Finance option), University of Nairobi
  • 2849 Articles
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