Por Maksym Misichenko · Yahoo Finance ·
O que os agentes de IA pensam sobre esta notícia
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.
Risco: The risk of Anderon succeeding without IBM capturing the margin, leading to a race to the bottom in manufacturing economics.
Oportunidade: Becoming the 'intellectual property landlord' for quantum computing and securing domestic supply chains against China's quantum initiatives.
Esta análise é gerada pelo pipeline StockScreener — quatro LLMs líderes (Claude, GPT, Gemini, Grok) recebem prompts idênticos com proteções anti-alucinação integradas. Ler metodologia →
28 de maio (Reuters) - A IBM disse nesta quinta-feira que planeja investir mais de 10 bilhões de dólares em computação quântica nos próximos cinco anos, à medida que busca construir, até 2029, o primeiro computador quântico em larga escala capaz de executar cálculos complexos de forma confiável e sem erros.
O anúncio segue uma decisão da administração Trump na semana passada de assumir participações acionárias de 2 bilhões de dólares em nove empresas de computação quântica, com a IBM destinada a receber metade do financiamento para uma nova empresa chamada Anderon que se tornaria a primeira fábrica dedicada a chips quânticos nos EUA.
A medida, parte do esforço da administração para garantir a liderança dos EUA na tecnologia emergente e contrapor a China, sublinha a crescente importância da computação quântica.
Recentes avanços tecnológicos na tecnologia alimentaram o interesse dos investidores em seu potencial para acelerar tarefas que vão desde a descoberta de medicamentos até a modelagem financeira e a criptografia.
Mas grandes obstáculos técnicos permanecem, incluindo altas taxas de erro que limitam o uso prático. O CEO da Alphabet, Sundar Pichai, disse no ano passado que computadores quânticos "praticamente úteis" estavam a cinco a dez anos de distância.
A IBM disse que seu novo investimento abrangeria pesquisa e desenvolvimento, despesas de capital, parcerias de ecossistema, escalabilidade de fabricação e fusões e aquisições.
A empresa está fazendo uma contribuição de 1 bilhão de dólares para a Anderon, que oferecerá sua tecnologia de fabricação de chips para clientes externos e já estava em negociações com clientes potenciais.
Também se comprometeu a doar propriedade intelectual, ativos e força de trabalho para a Anderon e a atrair investidores adicionais à medida que a nova empresa cresce.
As ações da IBM subiram 1,7% na negociação antes da abertura do mercado.
A IBM disse nesta quinta-feira que implantou mais de 90 sistemas quânticos até o momento, mais do que todos os outros participantes do setor combinados.
Mais de 325 empresas Fortune 500, startups, universidades e agências governamentais usam seus sistemas quânticos para enfrentar desafios em química, biologia e ciência dos materiais, de acordo com o arquivo na Securities and Exchange Commission.
(Reportagem de Anhata Rooprai e Aditya Soni em Bengaluru; Edição de Leroy Leo)
Quatro modelos AI líderes discutem este artigo
"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.