Amazon Executive Sets a Bold Timeline for Quantum Computing's Commercial Future
The race toward practical quantum computing just got a concrete milestone. In a June 17, 2026 interview with CNBC, Peter DeSantis, Amazon's Senior Vice President of Foundational AI Models, Custom Silicon, and Quantum Computing, predicted that the first "commercially useful small-scale" quantum computers will arrive within five to seven years. That puts the landmark moment somewhere around 2031 — a date that is already generating significant buzz across the technology, scientific, and investment communities.
For a company of Amazon's scale to put a specific number on quantum computing's commercial debut is no small thing. According to CNBC, this marks the first time Amazon has formally offered such a forecast, signaling a new level of confidence in the technology's trajectory. Understanding what this prediction means — and what it could unlock — is essential for businesses, researchers, and technology enthusiasts watching the quantum space closely.
Who Is Peter DeSantis and Why Does His Opinion Matter?
Peter DeSantis is not a newcomer to Amazon's inner circle. A 27-year veteran of the company, he was appointed in December 2025 to lead a newly consolidated organization that brought together Amazon's artificial intelligence model development, custom silicon engineering, and quantum computing research under one unified division. He reports directly to Amazon CEO Andy Jassy, which underscores just how strategically important this combined unit is to Amazon's long-term vision.
DeSantis's background makes him uniquely positioned to assess quantum computing's readiness. His oversight of custom silicon — the specialized chips that power Amazon Web Services' cloud infrastructure — means he understands the hardware limitations of classical computing from the ground up. When someone with that depth of experience offers a specific timeline, the industry pays attention.
What "Commercially Useful Small-Scale" Actually Means
The phrase "commercially useful small-scale quantum computers" is worth unpacking carefully. Quantum computers today exist in laboratory settings and are largely experimental, prone to errors, and limited in the number of stable qubits they can maintain. A commercially useful machine doesn't need to solve every problem — it needs to solve specific, high-value problems better than classical computers can.
DeSantis indicated that the earliest practical applications will likely center on chemistry and materials science. These fields involve simulating molecular interactions at a level of complexity that pushes classical computers beyond their functional limits. Quantum computers, by contrast, operate on principles of superposition and entanglement that make them naturally suited to modeling quantum-level phenomena.
"These are the problems where today we cannot run high enough fidelity simulations on a classical computer, and once we have a quantum computer, we're going to find some real progress," DeSantis told CNBC.
This is a significant statement. High-fidelity molecular simulation has enormous implications for drug discovery, battery technology, carbon capture materials, semiconductor design, and fertilizer synthesis — industries worth trillions of dollars globally.
How Amazon's Prediction Compares to the Rest of the Industry
DeSantis's five-to-seven-year window lands roughly in the middle of the broader expert consensus. Industry predictions for commercially viable quantum computing currently range from as few as five years to as many as fifteen, depending on who you ask and how they define "commercially useful." Some researchers remain deeply skeptical that error-corrected, fault-tolerant quantum computers will arrive before the mid-2030s at the earliest. Others, particularly those embedded in well-funded corporate quantum labs, are more optimistic.
Amazon's prediction aligns loosely with timelines offered by competitors. IBM has long maintained an ambitious quantum roadmap, while Google made headlines in 2024 with its Willow quantum chip, claiming it solved a benchmark computation in minutes that would take classical supercomputers an astronomical amount of time. Microsoft, meanwhile, has been investing heavily in topological qubits, a fundamentally different architectural approach it believes will yield more stable and scalable systems.
What distinguishes Amazon's forecast is its commercial framing. Rather than claiming a scientific milestone, DeSantis is pointing toward market utility — a distinction that matters enormously for enterprise customers and investors evaluating when to begin building quantum-ready strategies.
The Growth Trajectory: Bigger Every Year
One of the more telling details in DeSantis's prediction is his assertion that once commercially useful quantum computers appear, they will grow in capability every year and take on increasingly important problems. This echoes the trajectory of classical computing itself — early systems tackled narrow tasks before gradually expanding their reach across virtually every domain of human activity.
If quantum computers follow a similar growth curve post-2031, the implications are staggering. Industries that depend on optimization — logistics, finance, pharmaceuticals, energy — could see quantum advantage spread rapidly through their core operations within years of the first commercial machines becoming available.
What Businesses Should Do to Prepare Now
A 2031 target horizon is close enough that forward-thinking organizations need to start preparing today. While most businesses won't be building quantum computers themselves, the groundwork for quantum-readiness involves several critical areas:
- Talent development: Building internal understanding of quantum principles within data science and engineering teams will take years. Starting education and hiring initiatives now reduces the talent gap when commercial systems become available.
- Use case identification: Companies should audit their most computationally demanding workflows — particularly in optimization, simulation, and machine learning — to identify where quantum advantage might apply first.
- Cryptography readiness: Quantum computers capable of breaking current encryption standards represent a security risk. The U.S. National Institute of Standards and Technology (NIST) has already begun publishing post-quantum cryptographic standards, and businesses should be evaluating their migration strategies now.
- Cloud provider relationships: Amazon, IBM, Microsoft, and Google all offer quantum computing access through cloud platforms today. Experimenting with these services — even on nascent hardware — helps organizations understand the technology's mechanics and limitations before they become operationally critical.
Amazon's Integrated Strategy: AI, Silicon, and Quantum Together
The December 2025 reorganization that placed AI models, custom silicon, and quantum computing under DeSantis's unified leadership is itself a strategic signal worth noting. Amazon appears to believe that the future of computing is not a single technology but a layered architecture where classical AI, specialized chips like AWS Trainium and Inferentia, and eventually quantum processors work in concert.
This integrated view reflects a maturing understanding of where the true bottlenecks lie. Quantum computers will not replace classical systems — they will augment them, handling specific problem types with a speed and accuracy that classical hardware simply cannot match. Building the organizational and technological infrastructure to seamlessly integrate all three layers puts Amazon in a strong position to deliver those hybrid solutions to enterprise customers through AWS.
The Road to 2031
Amazon's quantum computing prediction is more than a headline — it is a strategic commitment from one of the world's most influential technology companies. With Peter DeSantis at the helm of an organization that connects AI, silicon, and quantum under one roof, and with a clear-eyed focus on commercially relevant milestones rather than abstract scientific achievements, Amazon is positioning itself to be a defining force in quantum computing's commercial era.
For the broader technology ecosystem, the message is clear: the quantum era is not a distant theoretical possibility. It is an approaching reality with a rough delivery date. The organizations that treat 2031 as a planning horizon rather than a distant curiosity will be far better positioned to capture the value that commercially useful quantum computing is set to unlock.