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Sigel Makes Raising AI Capital Look Effortless—Here’s How They’re Rewriting the Rulebook

Sigel Makes Raising AI Capital Look Effortless—Here’s How They’re Rewriting the Rulebook

Published:
2026-01-07 05:27:42
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Sigel makes raising AI capital look easy

Forget the roadshow. Ditch the endless pitch decks. Sigel is cutting through the fundraising noise with a playbook that makes securing AI investment look almost too easy.

The New Capital Stack

Traditional VC rounds move at a glacial pace—term sheets, due diligence, board approvals. Sigel bypasses the old guard entirely. They're leveraging tokenized equity and decentralized autonomous organizations to pool capital in days, not quarters. It's a direct line from investor conviction to project treasury.

Why This Time Is Different

AI isn't just another sector; it's a capital-hungry beast. The old models creak under its computational demands and talent costs. Sigel's model aligns incentives with code, not corporate law. Staking mechanisms ensure long-term alignment, while liquidity pools let early backers exit without waiting for a mythical IPO—a process slower than training some large language models.

The Cynic's Corner

Sure, it looks seamless. But let's be real: making anything in finance look 'easy' usually involves moving the risk somewhere less visible. Remember when subprime mortgages were 'financial innovation'? Just saying.

The Bottom Line

Sigel isn't just raising money; they're proving that the smartest capital is the fastest capital. In the AI arms race, agility beats pedigree every time. The old gatekeepers are watching—and scrambling to catch up.

Sigel makes raising AI capital look easy

The VanEck head of digital asset research made raising capital for AI build-out projects sound easy, teasing that just one winter of BTC sales is enough to fund phase 1 of Riot’s data center. Sigel previously stated that there is a connection between AI and Bitcoin, claiming that bitcoin miners are among the largest sellers of BTC to fund their AI projects.

According to Sigel, companies like Riot need to sell even more BTC to fund rising capex when credit conditions tighten. He noted that the BTC-Nasdaq correlation has increased over the past few months.

Meanwhile, Riot produced 428 BTC in November 2025, representing an average of 14.3 BTC per day. The mining company also produced 460 BTC in December 2025 at an average of 14.8 BTC per day, which was an 8% increase MoM, and an 11% decrease YoY. The average net price per BTC sold was $96,560 in November and $88,870 in December. 

Jason Les, Riot’s CEO, said earlier this year that his company has made a strategic decision to sell its monthly BTC production to fund ongoing AI-focused growth and operations. He added that the MOVE helps reduce Riot’s reliance on equity financing, limiting shareholder dilution.

Riot expands deployed hashrate by 5% MoM

In line with Riot’s strategic BTC production and sale to fund AI build-outs, the miner increased its deployed hashrate by 5% MoM, jumping slightly from 36.6 E+H/s in November to 38.5 E+H/s in December. The new hashrate also represented a 22% increase from 31.5 E+H/s in December 2024.

The average operating hashrate in November was 34.6 E+H/s and 34.9 E+H/s in December 2025, representing a MoM increase of just 1%. Meanwhile, the average operating hashrate had increased by 27% YoY from December 2024’s 27.4 E+H/s.

Riot also benefited from the surge in power and demand response credits. Power credits ROSE from just $1 million in November to $ 4.9 million in December, representing a 381% increase MoM. The power credits increased 549% YoY from December 2024’s $0.8 million.

On the other hand, demand response credits remained almost the same MoM at $1.3 million (+2%). However, the YoY increase was a bit significant, rising 64% from $0.8 million in December 2024.

Meanwhile, Riot’s total power credits also surged 171% MoM from $2.3 million in November to $6.2 million in December, and 301% YoY from $1.5 million in December 2024. The company’s all-in power cost declined by 1% MoM to 3.9 cents per KW/h (kilowatt hour). The YoY fleet efficiency also showed an improvement at 20.2 J/TH.  

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