IBM’s 25% stock crash rattles tech sector as ASML earnings loom

IBM just had one of the worst days in its 114-year history. The company’s stock cratered roughly 25% on July 14, marking what appears to be its largest single-day decline since at least the 1960s.

The trigger was a set of preliminary Q2 2026 results that landed with a thud. Revenue came in at $17.2 billion, reflecting a mere 1% year-over-year growth when the market was expecting something closer to $17.86 billion, or roughly 5% growth. Adjusted earnings per share hit $2.93, also below the consensus estimate of approximately $3.02.

What went wrong at Big Blue

CEO Arvind Krishna pointed to two culprits: a shortfall in IBM’s Z mainframe systems and the associated software stack, plus a broader shift in customer spending priorities. Enterprises are apparently redirecting budgets toward AI hardware, driven by anticipated supply shortages and looming price hikes.

IBM’s full Q2 earnings report is scheduled for July 22, which means investors will spend the next week parsing whether the preliminary numbers tell the whole story or whether there are additional surprises lurking in the details.

The ASML contrast couldn’t be sharper

The timing of IBM’s stumble is particularly awkward. ASML Holding, the Dutch semiconductor equipment maker that essentially holds a monopoly on the extreme ultraviolet lithography machines needed to manufacture cutting-edge chips, reported its Q2 2026 results just one day later on July 15.

Where IBM disappointed, ASML delivered. The company posted net sales of €9.3 billion and raised its full-year 2026 outlook. If you wanted a single data point to illustrate the winners-and-losers dynamic of the AI boom, this is it.

ASML sits at the very foundation of the AI hardware supply chain. Every advanced chip powering AI workloads, whether from Nvidia, AMD, or custom designs from hyperscalers, starts with ASML’s machines. When companies rush to buy AI hardware before prices climb, ASML benefits directly. When that same rush pulls budgets away from legacy IT infrastructure, IBM suffers.

Why crypto and risk asset investors should pay attention

The AI hardware rush that’s draining IBM’s revenues is the same trend fueling demand for data center infrastructure, high-performance computing, and the specialized chips that also underpin crypto mining operations. When memory shortages and supply constraints push hardware prices higher, as Krishna indicated is already happening, those cost pressures ripple into every compute-intensive industry.

For Bitcoin miners specifically, rising hardware costs and potential supply bottlenecks are worth monitoring closely. If enterprises are panic-buying AI hardware ahead of expected price hikes, mining equipment and GPU availability could face similar pressures.

ASML’s raised outlook suggests the AI infrastructure buildout is accelerating, not decelerating. Companies directly plugged into that pipeline, including those building decentralized AI infrastructure, blockchain-based compute networks, and tokenized GPU marketplaces, could benefit from the same tailwinds pushing ASML higher.

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