The Bitcoin mining giant taps a veteran of capital-intensive public companies as it pushes deeper into AI infrastructure.
Bitdeer Technologies Group just handed its finance keys to someone who spent six years managing the books at a company that sells RGB keyboards and gaming PCs. Which, oddly enough, might be the perfect training ground for a firm trying to straddle Bitcoin mining and artificial intelligence.
Michael G. Potter, who served as CFO of Corsair Gaming from November 2019 through December 2025, officially steps into the role at Bitdeer effective May 26, 2026. He replaces Jianchun Liu, who will stick around through June 30 before transitioning into an advisory capacity.
Why a gaming-sector CFO for a mining company #
The overlap between Corsair Gaming and Bitdeer is less absurd than it sounds. Both operate in hardware-heavy, capital-intensive businesses where managing supply chains, chip procurement, and massive infrastructure spend is the whole game. Potter’s resume also includes experience in the renewable energy and semiconductor sectors, two areas that directly intersect with what Bitdeer is building.
Bitdeer is a Singapore-headquartered, NASDAQ-listed company with mining operations spread across the US, Norway, Bhutan, and Ethiopia. Potter’s tenure at Corsair covered the company’s IPO period and subsequent scaling, which is precisely the kind of experience you want when a company is in transformation mode.
The numbers behind the hire #
In March 2026, the company self-mined 661 Bitcoin, a 480% increase compared to the same period last year.
By April 2026, Bitdeer’s hash rate had climbed to 87.4 EH/s. Hash rate is the rough equivalent of productive capacity in mining: more hash rate means more chances to earn Bitcoin rewards with each block.
Bitdeer’s AI cloud annual recurring revenue grew 60% month-over-month to approximately $69 million.
On March 30, Bitdeer’s Norwegian subsidiary signed an agreement with DCI to develop what would be Norway’s largest planned AI data center. The facility in Tydal will have a capacity of 180 MW, with an operational target of December 2026. The data center will focus on Nvidia Vera Rubin workloads, which is Nvidia’s next-generation GPU architecture designed for large-scale AI training and inference.
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