Digi Power X Inc. reported its first-quarter 2026 financial results on May 15, announcing a strategic pivot toward AI computing infrastructure [1].

The transition represents a fundamental change in the company's business model to reduce reliance on the volatile cryptocurrency-mining sector. By capitalizing on the growing demand for AI computing, the Miami-based firm aims to establish a more stable, capital-light revenue stream [2].

During an earnings call held at 8:30 a.m. EDT on May 15, the company disclosed a balance sheet featuring $125 million in cash and zero long-term debt [3, 4]. Management said the first quarter of 2026 served as a transformational period to strengthen financial standing while ramping down crypto operations [5].

Michel Amar, chairman and CEO, said the company is pleased to announce the commencement of AI-driven revenue streams beginning May 2026 [6]. Amar also said the company has a $300 million annual run-rate target for 2027 [6].

Digi Power X, which is listed on the NASDAQ as DGXX and on Cboe Canada as DGX, is positioning itself as an infrastructure-scale AI computing platform [7, 8]. Company management said the current results underscore a path toward nine-figure revenue [5].

This strategic shift follows a period of restructuring intended to align the company's assets with the needs of high-performance computing. The company intends to leverage its existing power infrastructure to support AI workloads, which typically require more consistent, and scalable energy solutions than traditional mining [2].

We are pleased to announce the commencement of AI-driven revenue streams beginning May 2026.

The pivot from cryptocurrency mining to AI infrastructure reflects a broader industry trend where firms with specialized power and cooling capabilities are migrating toward the more predictable demand of generative AI. By eliminating long-term debt and securing a significant cash reserve, Digi Power X is attempting to insulate itself from the boom-and-bust cycles of digital assets while betting on the long-term growth of the AI compute market.