In our previous article, we explored how quantum computing could eventually undermine today’s encryption methods. There is, however, another layer to this discussion that deserves closer attention — the accelerating role of artificial intelligence (AI) and what may happen when AI and quantum computing begin to reinforce each other.

This is where the conversation shifts from “known future risk” to strategic uncertainty. Not because the threat is imminent, but because the combination of these technologies could fundamentally change how cyber attacks and defences operate over time.

How AI Could Accelerate the Quantum Timeline

On its own, quantum computing faces significant technical hurdles. Quantum systems are fragile, error-prone, and difficult to scale. Historically, these challenges have slowed progress and pushed practical timelines further into the future.

AI has the potential to change that.

Advanced AI systems can already:

• Analyse extremely complex systems faster than humans
• Optimise designs and configurations
• Automate experimentation and refinement

Applied to quantum research, AI could help improve error correction, stability, and efficiency — areas that currently limit quantum progress. AI may also automate how quantum resources are used once they become available, reducing the need for specialised human expertise.

AI doesn’t eliminate quantum challenges, but it may shorten the gap between “theoretical capability” and “practical use.” That alone changes how organisations should think about timelines.

This doesn’t mean quantum breakthroughs will happen overnight — but it does mean previous long-term assumptions may become outdated more quickly than expected.

What Happens When Decryption Meets Automation

One of the most concerning scenarios discussed by researchers is not just the breaking of encryption, but what happens next.

If encrypted data collected today is decrypted in the future, AI could:

• Rapidly analyse vast volumes of historical data
• Identify patterns, relationships, and sensitive insights
• Automate exploitation at a scale humans could never achieve

Instead of isolated breaches, this could lead to systematic intelligence extraction — turning years of stolen but unreadable data into actionable information in a very short period.

The real risk isn’t just decryption — it’s what AI can do once information becomes readable again.

This is why long-lived sensitive data (such as intellectual property, strategic communications, or personal identity data) requires special attention today.

Early Advantage and the Reality of Inequality

When cryptographically relevant quantum computers first arrive, they will not be widely accessible. They will be:

• Extremely expensive
• Technically complex
• Operated by very few organisations

Most experts believe early access will be limited to nation states or organisations operating at national-security scale.

This creates a temporary but powerful imbalance. Those with quantum capabilities could silently read encrypted communications or simulate defences without immediate detection. Meanwhile, organisations without access would remain unaware.

Over time, access may broaden through “quantum-as-a-service” models, but the first-mover period is where risk is most asymmetrical.

Quantum, AI, and the AGI Question

Some discussions extend even further into the future, considering Artificial General Intelligence (AGI) — systems capable of reasoning at or beyond human intelligence.

Opinions here diverge sharply. Some believe AGI could arrive within the next decade, while others remain sceptical that it will emerge at all. What is clear is that all major AI research organisations are pursuing more autonomous, reasoning-capable systems.

Quantum computing could theoretically support AGI by:

• Providing exponentially larger data spaces
• Enabling more complex models
• Accelerating optimisation and learning

At the same time, it’s important to remain grounded. Quantum computers will not replace traditional computing. They are specialised tools, suitable only for certain classes of problems, and they require extreme operating conditions.

The future is unlikely to be “quantum everywhere.” It’s more realistic to expect quantum systems to sit alongside classical systems, amplifying specific capabilities rather than replacing everything.

Defence Will Evolve Too

It’s easy to focus only on adversarial use cases — but AI-assisted quantum computing could also improve defence.

Potential defensive applications include:

• Faster detection of complex attack patterns
• More accurate simulation of attacker behaviour
• Improved optimisation of security architectures

However, quantum systems themselves will not be immune to attack. They will rely on classical computers to prepare data and manage interfaces, which means traditional attack paths will still exist.

What Organisations Should Focus on Now

Despite all the uncertainty, one thing is clear: organisations do not need to predict the exact future to prepare for it.

The most resilient organisations will be those that:

• Understand where and how encryption is used
• Identify long-term sensitive data
• Reduce reliance on single security controls
• Maintain strong identity and access governance

These steps improve security today and make future transitions — including post-quantum migration — more manageable.

A CSB Perspective

At CSB, we don’t see the convergence of quantum and AI as something to fear — but it does require thoughtful preparation.

Cybersecurity has always evolved alongside technology. The organisations that succeed are those that:

• Stay informed without overreacting
• Plan ahead without panicking
• Invest in fundamentals rather than chasing hype

Quantum and AI will shape the future. But strong, well-governed security foundations will continue to matter — regardless of how powerful the tools become.