Last updated on June 4, 2026
From AI to Quantum: What Enterprises Need to Know Before the Next Computing Shift
Summary: According to McKinsey’s 2026 Quantum Technology Monitor, quantum computing is moving rapidly toward commercial viability and could create up to $2.7 trillion in economic value by 2035. By utilizing qubits to evaluate massive numbers of variables in parallel, quantum machines will revolutionize complex optimization and molecular simulation across industries.
Enterprises are barely halfway through their AI journeys, and the next seismic shift in computing is already on the horizon. Quantum computing is no longer a laboratory curiosity. It is moving fast toward commercial viability, and according to McKinsey’s 2026 Quantum Technology Monitor, quantum computing could create up to $2.7 trillion in economic value worldwide by 2035. Organizations that start building awareness and capability today will be well placed to lead when the shift arrives.
What Enterprises Need to Do First
Quantum readiness does not start with quantum hardware. It starts with getting your existing house in order. There are three areas where enterprises need a solid foundation before quantum adoption becomes meaningful.
Cryptographic inventory. You cannot migrate to quantum-safe encryption standards if you do not know where your current encryption lives. NIST’s migration guidance explicitly calls on organizations to identify every system, service, and protocol relying on vulnerable algorithms before planning any transition. This audit is the unavoidable first step.
Data infrastructure. Quantum use cases in optimization and simulation are only as powerful as the data fed into them. Fragmented, unstructured, or poorly governed data pipelines will undermine quantum workloads just as they undermine any advanced computing initiative.
Cloud and hybrid architecture maturity. Most enterprise access to quantum today runs through Quantum-as-a-Service platforms hosted by IBM, Google, and D-Wave. Organizations that have not developed mature cloud practices will find it significantly harder to experiment with and integrate quantum capabilities as they scale.
What Is Quantum Computing?
Classical computers process information as bits, each representing either a 0 or a 1. Quantum computers use quantum bits, or qubits, which can represent 0, 1, or both simultaneously through a property called superposition. Combined with entanglement, which links qubits so that the state of one instantly informs another, quantum machines can evaluate vast numbers of possible solutions in parallel rather than sequentially. The result is processing power that scales in ways classical architectures fundamentally cannot match for certain problem types.
What Quantum Actually Means for the Enterprise
Quantum computers are exponentially faster than classical machines at problems involving massive combinatorial complexity, such as finding optimal solutions across millions of variables, simulating molecular structures, or breaking large-number-based encryption. For enterprises, the near-term implications fall into three practical areas.
Optimization is the most immediate. Supply chains, financial portfolios, logistics routing, and drug discovery pipelines all involve problems too complex for classical computers to solve optimally. The global quantum computing market was valued at $1.42 billion in 2024 and is projected to reach $4.24 billion by 2030, growing at a CAGR of 20.5%, according to Grand View Research. That growth is being driven largely by optimization use cases in financial services and logistics.
Simulation is the next frontier. Pharmaceutical and materials science companies are already exploring quantum simulation to model molecular interactions, a task that is computationally prohibitive today. IBM’s announcement in May 2025 of a 156-qubit quantum processor was designed to put quantum solutions within reach of 100,000 businesses.
Cybersecurity is where quantum stops being an opportunity and becomes an active risk. Quantum computers will eventually be powerful enough to break the encryption protocols that protect most of the world’s digital infrastructure. In August 2024, NIST finalized its first three post-quantum cryptography standards after an eight-year evaluation process, and has set a deadline to deprecate quantum-vulnerable algorithms from its standards by 2035. Threat actors are already executing “harvest now, decrypt later” attacks, collecting encrypted data today with the intent to decrypt it once quantum capability matures. Despite this, fewer than 5% of enterprises currently have formal quantum-transition plans, according to a 2025 research paper examining enterprise quantum readiness.
The Readiness Gap Is Real
Investment in quantum is surging. Over $2 billion was invested in quantum startups in 2024 alone, a 50% increase from 2023, according to SpinQ’s 2025 industry analysis. Yet organizational readiness lags far behind capital flows. The talent pool for quantum expertise is thin. The technical distance between classical and quantum architectures is significant. Most enterprise IT teams have no exposure to quantum programming models or hybrid classical-quantum workflows.
This gap is not a reason to delay. It is the reason to start building capability now.
Where Outsourcing and Consulting Partners Come In
The enterprises that have successfully navigated previous technology waves did not do it alone, and quantum will be no different. The quantum shift will require external expertise that most in-house teams simply cannot build fast enough, and the window to establish those partnerships early is now.
Specialized consulting firms bring several capabilities that close this gap in practice. First, they can conduct quantum readiness assessments that map existing systems, data assets, and business processes against near-term quantum use cases. Second, they can guide post-quantum cryptography migration, an especially complex undertaking given the dependencies between encryption protocols and legacy infrastructure. Transitioning enterprise and government networks to post-quantum cryptography could require a decade or more, according to security experts cited in SpinQ’s 2025 report.
Third, technology consulting partners can help enterprises access Quantum-as-a-Service (QCaaS) platforms from IBM, Google, and D-Wave, allowing organizations to experiment with quantum workloads without building hardware infrastructure. This is a critical pathway for enterprises that want to develop quantum literacy at a reasonable cost.
Finally, systems integrators experienced in both AI and quantum can help organizations design hybrid architectures, combining classical computing, AI inference layers, and quantum modules into coherent workflows that solve real business problems.
The Right Posture: Prepare Now, Scale Later
Enterprises do not need to overhaul their technology strategy overnight. The practical approach is a phased one. In the near term, that means completing post-quantum cryptography assessments and beginning the migration to NIST-approved standards. It means identifying two or three optimization or simulation problems in the business that are good candidates for quantum acceleration. And it means building internal literacy through structured learning programs and carefully chosen consulting engagements.
The organizations that treated AI as a distant future technology in 2018 spent years playing catch-up. Quantum is on a faster trajectory than most enterprise planners expect. The time to form a view, build capability, and engage the right partners is now.
