Von Maksym Misichenko · Yahoo Finance ·
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IBM's $10B, 5-year commitment to quantum computing is seen as a strategic move, but the timeline for practical, error-free systems is uncertain and could lead to significant cash burn. The spin-off of Anderon as a dedicated foundry is viewed as a mixed bag, with potential to accelerate error-correction work but also risks of talent retention and foundry economics favoring independent operators.
Risiko: The risk of Anderon succeeding without IBM capturing the margin, leading to a race to the bottom in manufacturing economics.
Chance: Becoming the 'intellectual property landlord' for quantum computing and securing domestic supply chains against China's quantum initiatives.
Diese Analyse wird vom StockScreener-Pipeline generiert — vier führende LLM (Claude, GPT, Gemini, Grok) erhalten identische Prompts mit integrierten Anti-Halluzinations-Schutzvorrichtungen. Methodik lesen →
May 28 (Reuters) - IBM teilte am Donnerstag mit, dass das Unternehmen seine Pläne bekannt gegeben hat, mehr als 10 Milliarden US-Dollar in die Quantencomputertechnologie über fünf Jahre zu investieren, da es bis 2029 den ersten groß angelegten Quantencomputer bauen will, der komplexe Berechnungen zuverlässig und ohne Fehler ausführen kann.
Die Ankündigung folgt einer Entscheidung der Trump-Regierung von letzter Woche, Beteiligungen in Höhe von 2 Milliarden US-Dollar an neun Unternehmen für Quantencomputer zu erwerben, wobei IBM voraussichtlich die Hälfte der Mittel für ein neues Unternehmen namens Anderon erhalten wird, das die erste dedizierte Quantenchip-Produktionsanlage in den USA werden soll.
Dieser Schritt, der Teil des Bestrebens der Regierung ist, die Führungsrolle der USA in der aufstrebenden Technologie zu sichern und China entgegenzuwirken, unterstreicht die wachsende Bedeutung der Quantencomputertechnologie.
Jüngste technologische Durchbrüche in der Technologie haben das Interesse der Investoren an ihrem Potenzial zur Beschleunigung von Aufgaben von der Arzneimittelforschung bis hin zur Finanzmodellierung und Kryptographie geweckt.
Es gibt jedoch noch erhebliche technische Hürden zu überwinden, darunter hohe Fehlerraten, die den praktischen Einsatz einschränken. Alphabet CEO Sundar Pichai sagte im vergangenen Jahr, dass "praktisch nützliche" Quantencomputer fünf bis zehn Jahre entfernt seien.
IBM teilte mit, dass die neue Investition Forschung und Entwicklung, Kapitalausgaben, Ökosystempartnerschaften, Produktionsskalierung sowie Fusionen und Übernahmen umfassen werde.
Das Unternehmen leistet einen Beitrag von 1 Milliarde US-Dollar zu Anderon, das seine Chip-Produktionstechnologie an externe Kunden anbieten wird und bereits Gespräche mit potenziellen Kunden geführt hat.
Es hat außerdem zugesagt, Anderon geistiges Eigentum, Vermögenswerte und Arbeitskräfte zur Verfügung zu stellen und zusätzliche Investoren zu gewinnen, während das neue Unternehmen wächst.
Die Aktien von IBM stiegen im Vorhandel um 1,7 %.
IBM teilte am Donnerstag mit, dass es bisher mehr als 90 Quantensysteme eingesetzt habe, mehr als alle anderen Branchenteilnehmer zusammen.
Über 325 Fortune 500 Unternehmen, Startups, Universitäten und Regierungsbehörden nutzen seine Quantensysteme, um Herausforderungen in der Chemie, Biologie und Materialwissenschaft zu bewältigen, so die Einreichung bei der Securities and Exchange Commission.
(Berichterstattung von Anhata Rooprai und Aditya Soni in Bengaluru; Bearbeitung von Leroy Leo)
Vier führende AI-Modelle diskutieren diesen Artikel
"The 2029 large-scale target remains aspirational because error-correction breakthroughs are not guaranteed by the announced funding alone."
IBM's $10B five-year quantum spend plus $1B Anderon contribution, paired with $1B Trump-era equity, aims at error-free large-scale systems by 2029. The company already leads with 90+ deployed systems and 325+ enterprise users, yet error rates still block commercial workloads in drug discovery or cryptography. Capital outlays will hit R&D, capex and M&A without clear near-term revenue, while Pichai's 5-10 year usefulness timeline implies IBM may burn cash for years. The 1.7% premarket pop prices in narrative momentum rather than earnings traction.
U.S. policy tailwinds and Anderon's open chip foundry model could compress timelines and attract paying external customers faster than IBM's standalone roadmap suggests.
"IBM's quantum leadership in deployment doesn't translate to commercial moat if error rates remain prohibitive and government funding spreads capital across nine competitors rather than consolidating it."
IBM's $10B quantum commitment looks strategically sound on surface — they've deployed 90+ systems (vs. competitors combined), have 325 enterprise customers, and now get $1B from government co-investment via Anderon. But the article buries the real problem: Pichai's own admission that 'practically useful' quantum is 5-10 years away, and IBM's 2029 target for 'large-scale' error-free systems is almost certainly marketing. The gap between deployed systems and revenue-generating applications remains massive. IBM is essentially betting $10B that they'll crack error correction before competitors, while government money flows to nine companies — diluting IBM's relative advantage.
IBM's quantum revenue contribution to earnings is likely still negligible, and this $10B spend over five years ($2B annually) competes with capex needed for their core hybrid-cloud and software businesses. If quantum doesn't deliver commercial ROI by 2032-2033, shareholders will question whether this was strategic or a prestige project dressed up as innovation.
"IBM is transitioning from a services-heavy model to a capital-intensive quantum foundry model, aiming to monetize the entire quantum ecosystem rather than just its own hardware."
IBM’s $10 billion commitment is a strategic pivot from legacy services toward high-barrier deep tech, effectively positioning Big Blue as the primary infrastructure provider for the quantum era. By spinning off 'Anderon' as a dedicated foundry, IBM is attempting to replicate the TSMC model for quantum chips, shifting from pure research to a scalable manufacturing platform. While the 1.7% premarket pop is modest, the long-term value lies in becoming the 'intellectual property landlord' for quantum computing. However, investors should be wary of the cash burn; $2 billion in government backing is a drop in the bucket compared to the capital-intensive nature of building error-corrected quantum systems, which historically suffer from massive R&D cost overruns.
The 'Anderon' spinoff could become a capital sink that dilutes IBM's core earnings, especially if quantum supremacy remains a decade away and the foundry fails to secure enough commercial volume to offset the massive depreciation of specialized manufacturing equipment.
"The 2029 target for an error-free, large-scale quantum computer is highly optimistic; meaningful value will likely come first from incremental hardware advances and quantum-as-a-service, not a binary breakthrough."
IBM's $10B, 5-year bet signals strong commitment to quantum as a long-horizon growth theme and could bolster the US ecosystem through Anderon. However, the claim of delivering a large-scale, error-free quantum computer by 2029 is highly optimistic given known hurdles: fault tolerance requires vast qubit counts and substantial overhead, and practical quantum advantage may arrive only for narrow tasks well after 2029. The piece glosses on manufacturing, talent, and supply-chain costs, and it omits the risk that government funding could be redirected or delayed. Near-term value likely rests on incremental gains, ecosystem services, and software, not a definitive hardware breakthrough by 2029.
The strongest case against my stance is that IBM, with substantial capital and government backing, could still hit a meaningful large-scale, error-corrected quantum milestone by 2029 if rapid progress accelerates; hype might understate potential near-term commercial use cases.
"Shared grants risk standardizing components that help Anderon, yet talent poaching across nine programs threatens IBM's execution more than capital helps."
Claude correctly notes dilution across nine recipients, but this underplays how shared government grants could standardize interfaces and cryo-electronics that IBM's Anderon foundry then monetizes as the default supplier. The unmentioned risk is retention: spinning off specialized talent into a separate entity while nine other funded programs compete for the same scarce PhDs may slow IBM's internal error-correction roadmap more than extra cash accelerates it.
"Anderon's independence could cannibalize IBM's quantum IP upside while saddling the parent with capex drag."
Grok's talent-retention risk is real but understated. Anderon as a separate entity could actually *accelerate* IBM's error-correction work by attracting external capital and customers willing to fund specialized teams—a classic spinoff dynamic. The risk isn't dilution; it's that Anderon succeeds *without* IBM capturing the margin. If foundry economics favor independent operators over captive supply, IBM's $10B becomes a subsidy for competitors' manufacturing, not a moat.
"IBM's quantum investment is less about commercial ROI and more about securing a government-subsidized position as a national security critical infrastructure provider."
Claude and Grok are missing the geopolitical imperative. This isn't just a tech bet; it's a defensive play to secure domestic supply chains against China's own quantum initiatives. If the U.S. government views Anderon as a critical national security asset, the 'ROI' isn't just commercial profit—it's government-subsidized survival. IBM isn't building a product; they are building a strategic utility. The risk isn't just talent retention; it's that the project becomes a permanent ward of the state.
"Anderon independence could hollow out IBM's moat by shifting manufacturing economics away from IBM, risking margin loss even as R&D spend climbs."
While Grok is right on retention risk, the bigger flaw is that Anderon as an independent foundry could erode IBM's moat by ceding manufacturing economics to outside customers. If margins compress, external partners shoulder more capex, IBM's core advantage—the integrated hardware-software stack—unravels even as R&D burns. The timeline risk remains, but the real contrarian bet is whether IBM can monetize the foundry-scale through software/services or if leading with a subsidy creates a race to the bottom.
IBM's $10B, 5-year commitment to quantum computing is seen as a strategic move, but the timeline for practical, error-free systems is uncertain and could lead to significant cash burn. The spin-off of Anderon as a dedicated foundry is viewed as a mixed bag, with potential to accelerate error-correction work but also risks of talent retention and foundry economics favoring independent operators.
Becoming the 'intellectual property landlord' for quantum computing and securing domestic supply chains against China's quantum initiatives.
The risk of Anderon succeeding without IBM capturing the margin, leading to a race to the bottom in manufacturing economics.