From Pension Anxiety to Financial Confidence: AI's Untapped Potential

Over the last couple of years, I've spent a significant amount of time using AI across both my professional and personal life. Whilst much of the public discussion has focused on automation, productivity and the future of work, I've become increasingly interested in a different question: what happens when technology enables ordinary people to engage confidently with complex problems that they previously felt unequipped to tackle?

The more I observe how people are using AI, the more I find myself returning to a simple thought:

The internet gave people access to information. AI is beginning to give them access to understanding.

That may sound like a subtle distinction, but I believe it represents one of the most important developments in the way people make decisions. For decades, information has been readily available, yet many individuals have remained unable to translate that information into action. We have become remarkably good at making knowledge accessible, but far less successful at making it understandable.

Workplace pensions provide a good example. Following the success of automatic enrolment, millions more people are now saving for their financial futures. . Participation has increased dramatically, which is fantastic and I’m personally proud to have been a part of this revolution starting back in 2012. However, many savers still struggle to understand how pensions work, what retirement income they might ultimately generate, whether current contribution levels are likely to be sufficient or what practical steps they should be taking today. Access to information has improved significantly. Understanding though still lags behind.

What increasingly captures my attention is AI's ability to help people move from uncertainty to informed engagement with a problem. In my view, this has the potential to become one of the most important societal impacts of the technology, particularly in areas such as retirement planning, financial wellbeing, healthcare and legal matters, where complexity often acts as a barrier to action.

The problem was never information

For decades we have operated in a world where information has been widely available but understanding has remained unevenly distributed. The internet gave people access to an almost unlimited quantity of information, but it did little to solve a different problem: knowing which information matters, how it fits together and what should happen next. As a result, many people found themselves trapped between awareness and action. They knew they should review their pension, seek help for a health concern, challenge a financial decision or better understand a legal issue, but the sheer volume of information often creates a form of paralysis. The challenge was rarely a lack of information. More often, it was an inability to navigate complexity with confidence.

This is where I believe AI is beginning to have a profound impact.

What's changing is not necessarily the quality of decisions being made. Rather, it is the quality of understanding that can be developed before those decisions are made. AI is creating a new layer that sits between information and expertise. It is allowing individuals to rapidly develop a structured understanding of a topic before engaging with advisers, clinicians, consultants or specialists.

That distinction is important because it moves the conversation away from whether AI provides the right answer. In many situations, particularly where significant financial, healthcare or legal decisions are concerned, there is rarely a single right answer. What matters is whether an individual understands the options available, the risks associated with them and the questions they should be asking.

Why this matters for retirement planning

This becomes particularly relevant when viewed through the lens of retirement planning and pension adequacy, topics which continue to dominate industry discussions.

There remains considerable debate around retirement living standards, whether current savings rates are sufficient and how individuals can achieve the outcomes they hope for later in life. Yet despite decades of guidance, regulation and public awareness campaigns, many people still struggle to answer remarkably basic questions about their own retirement prospects. How much income will I need? Will my current savings be enough? What impact could inflation have over a retirement lasting twenty or thirty years? What practical actions should I consider over the next five years? Historically, answering these questions required navigating provider literature, calculators, guidance websites and professional advice. Whilst all of these resources continue to have an important role, AI is increasingly helping people establish a foundation of understanding far more quickly than was previously possible.

What’s fascinating is not that AI can explain pension contributions, drawdown strategies, tax relief or compound growth. The pensions industry has been doing that for decades. The real value lies in helping individuals translate those concepts into their own reality, understand the trade-offs involved and, perhaps most importantly, identify the gaps in their knowledge before those gaps become poor decisions.

When I think about effective use of AI in this context, I increasingly evaluate it against a simple framework. Has it increased understanding? Has it improved confidence? Has it clarified the next action that should be taken? If the answer to all three questions is yes, then the interaction has delivered genuine value, regardless of whether any final decision has been made.

From retirement to legalities and everything in-between

The same principle applies far beyond retirement planning. Whether someone is navigating a healthcare concern, considering a property purchase, recovering from an injury or trying to understand a legal issue, AI's greatest strength may be its ability to organise complexity into a form that feels approachable and actionable. A prospective homebuyer can better understand the implications of leasehold arrangements, mortgage affordability and conveyancing processes. An individual recovering from an injury can gain a clearer understanding of rehabilitation pathways and treatment terminology. Someone facing a legal issue can begin to understand the language, structure and implications of documentation before engaging with a solicitor. In each case, the technology is not replacing expertise. It is helping individuals become better informed participants in decisions that affect their lives.

Supporting vulnerable customers

One area that deserves far greater attention is the potential impact on individuals who might be considered vulnerable, whether through age, health, financial circumstances, bereavement, caring responsibilities or simply a lack of confidence.

Much of the discussion around vulnerability quite rightly focuses on protection, regulation and safeguards. However, we should also consider the role technology can play in helping individuals engage with topics they might otherwise avoid altogether. Many people are reluctant to ask questions because they fear looking uninformed. Others postpone important decisions because they become overwhelmed by terminology, conflicting opinions or the sheer scale of information available. In practice, this can lead to disengagement precisely at the moment when engagement is most needed.

AI offers something rather different. It provides an environment in which people can ask questions repeatedly, request explanations in simpler language, challenge their own assumptions and explore different scenarios without fear of judgement.

For an individual approaching retirement, this might mean gaining confidence to engage with long-term financial planning. For someone recovering from illness, it might mean better understanding treatment options and rehabilitation pathways before speaking to healthcare professionals. For somebody facing financial challenges, it might simply mean feeling able to take the first step towards addressing a problem that has previously felt overwhelming.

In that sense, one of the most overlooked benefits of AI may not be intelligence at all. It may be confidence.

My principles for building trust and confidence in AI

For those new to AI, particularly individuals facing complex personal decisions, I believe a handful of practical principles are worth following.

Principle	What it practically means	Questions to ask
Ask AI to explain not just answer	Treat AI as a tool to improve your knowledge and awareness of a topic. The objective should be to finish a conversation understanding more than when you started.	What have I learnt that I didn't know before? Can I probe deeper?
Challenge yourself	The greatest value often comes from exposing blind spots rather than reinforcing existing views. AI can be an effective devil's advocate when used correctly.	What am I missing? What assumptions am I making? What risks have I overlooked?
Treat outputs as a start point not the conclusion	AI should help structure your thinking and identify areas for further investigation. Significant financial, legal or healthcare decisions still require evidence, validation and, where appropriate, professional advice.	What additional evidence or expert input do I need before making a decision? How can I build further knowledge?
Seek to build confidence and then competence	AI can dramatically improve understanding in a short period of time, helping people feel more confident discussing a subject. However, this should signal the start of the learning phase and nudge further exploration.	Do I understand this well enough to challenge it, apply it and explain it in my own words?

The risk of mistaking understanding for expertise

This perhaps represents the greatest risk facing widespread AI adoption.

An individual may understand significantly more about pensions after using AI. They may become better informed about a medical condition or acquire greater knowledge of a legal issue. However, increased understanding does not automatically create professional competence, regulatory accountability or specialist expertise.

The challenge for society over the coming decade will be learning where AI adds value and where human judgement remains indispensable.

In my view, the most successful applications will not involve replacing professionals. Instead, they will involve creating a better-informed public, enabling richer conversations and allowing experts to focus more of their time on judgement, context and decision-making rather than basic education.

Questions every business should be asking

For businesses, this raises much broader questions; If individuals increasingly arrive at interactions with a stronger baseline understanding, how might customer engagement evolve? How might advice models change? What services become more valuable and which become less so? How do organisations create trust in an environment where information is abundant but verification becomes more important than ever?

The real story of AI may not be automation. It may not even be productivity. It may be the creation of an entirely new layer between information and expertise, one that enables people to educate themselves, explore options and understand complexity before seeking professional guidance. If the internet democratised access to information, AI has the potential to democratise access to understanding.

Looking ahead

As debates around pension adequacy, retirement living standards, healthcare accessibility, financial wellbeing and consumer vulnerability continue to evolve, one thing feels increasingly clear. AI is unlikely to remove complexity from the world. What it can do is help more people understand that complexity and engage with it with greater confidence and clarity. For many individuals, that may prove to be the difference between knowing they have a problem and finally feeling equipped to do something about it.

The next challenge for organisations is determining how AI is responsibly integrated into customer journeys. How do businesses help customers navigate complexity, build confidence and make better-informed decisions whilst maintaining appropriate safeguards, governance and human oversight? Those questions will become increasingly important over the next decade. The organisations that succeed will not simply adopt AI. They will learn how to combine it with human judgement, professional expertise and trust, to deliver better outcomes. In my view, that is where the most exciting opportunities lie today, and where some of the most transformative opportunities of the future are likely to emerge.

At Grillion, we’re seeing more organisations explore precisely these questions, from practical AI implementation and governance through to understanding how emerging technologies will reshape decision-making, customer behaviour, future operating models and, importantly for me, the customer experience.

Greg Mills

October 2026