KPMG’s AI in Finance 2026 report concludes that AI is moving from an experimental technology to a core operating capability, with 76% of organisations now using AI in financial planning and 71% reporting that it meets or exceeds ROI expectations. The greatest benefits are not coming from cost reduction or automation alone, but from improved decision-making, forecasting accuracy, responsiveness, and judgement-heavy work. Organisations achieving the strongest results are those combining AI with high-quality data, strong governance, human oversight, measurement disciplines, and workforce development. The report argues that competitive advantage is no longer determined by simply adopting AI, but by integrating it into the operating model so that humans and AI work together to make faster, better-informed decisions with greater confidence and accountability.
I think this report contains a much bigger lesson for Total Wealth Planners than KPMG itself realises.
The report is written for corporate finance functions, but if you translate it into human capital and life planning language, it reinforces several themes the Academy has been exploring for years.
The central insight is this:
AI is not primarily a cost-saving tool. It is a decision-quality tool.
That is hugely significant for Total Wealth Planning.
Traditional financial planning has often focused on optimising financial capital. AI enables us to optimise human capital.
The report found that the greatest gains from AI were not in transactional efficiency but in:
- Better decision-making
- Faster decision-making
- More accurate forecasting
- Greater responsiveness to changing conditions
These are exactly the capabilities people need to navigate modern life.
A Total Wealth Planner should therefore stop thinking about AI as a technology topic and start thinking about it as a human capability topic.
Some key lessons:
1. AI is a Human Capital Multiplier
The report repeatedly shows that AI delivers its biggest gains in judgement-heavy work rather than routine administration.
For individuals this means:
- Better career decisions
- Better business decisions
- Better life planning decisions
- Better retirement decisions
- Better learning decisions
The implication is profound.
A person with modest resources but strong AI leverage may outperform a person with significantly greater financial resources but poor decision-making.
This reinforces your long-held view that:
Human capital is the primary asset. Financial capital is a secondary asset.
AI increases the productive capacity of human capital.
2. The New Wealth Gap May Be Decision Quality
The report suggests that organisations using AI effectively are pulling away from those that are not.
The same may happen with individuals.
Tomorrow’s wealth divide may not be:
- Rich vs poor
- Educated vs uneducated
Instead it may become:
- AI-augmented decision-makers
- Non-augmented decision-makers
This is one reason why the Academy’s mission matters.
Teaching people how to think with AI may become as important as teaching them how to save money.
3. Human Oversight Becomes More Valuable, Not Less
One of the strongest findings in the report is that organisations with stronger governance, controls, measurement and oversight achieved better outcomes.
This aligns perfectly with the Total Wealth Planner role.
AI does not eliminate the need for planners.
It changes the planner’s role.
From:
- Information provider
To:
- Sense-maker
- Guide
- Coach
- Ethical decision partner
- Accountability partner
In other words:
The value shifts from knowledge possession to wisdom application.
4. Data Quality Matters More Than Ever
KPMG identifies data quality as both the biggest opportunity and the biggest obstacle.
For individuals, “data quality” means:
- Knowing your goals
- Understanding your values
- Tracking your time
- Understanding your spending
- Understanding your strengths
- Understanding your health
- Understanding your relationships
Garbage in, garbage out.
A poor understanding of yourself produces poor AI outputs.
This is why the GAME Plan remains relevant.
The AI needs good inputs.
Goals come before actions.
5. AI Rewards Agency
The report notes that the leaders are those directing AI towards the work that matters most rather than simply automating tasks.
This is a lesson for individuals.
Many people are using AI to:
- Write emails
- Summarise meetings
- Create images
Useful, but relatively low-value.
The real opportunity is using AI to:
- Design a business
- Build a second income
- Create intellectual property
- Develop expertise
- Learn new skills
- Navigate major life transitions
That is where agency is restored.
6. The Future Total Wealth Planner Is Part Human, Part AI
Perhaps the most important lesson comes from KPMG’s discussion of the “total workforce.” They argue that success comes from redesigning work around humans and AI together.
This maps directly onto the Academy’s future vision.
The future planner is not:
- Human only
Nor:
- AI only
Instead:
- Human wisdom
- Human empathy
- Human ethics
- Human accountability
combined with
- AI analysis
- AI research
- AI modelling
- AI productivity
That combination creates a planner who is dramatically more capable than either working alone.
My biggest takeaway is this:
The report appears to be about finance departments.
But underneath it is evidence supporting a broader proposition:
AI is becoming the greatest human capital multiplier most people will encounter in their lifetime.
For Total Wealth Planners, the challenge is no longer helping people manage money.
It is helping people identify their human capital, align it with purpose and opportunity, then use AI to amplify it.
If that can be done at scale, your observation about helping NEETs, older workers, career changers and those below the poverty line becomes much more plausible.
The question shifts from:
“How do we distribute more money?”
to
“How do we help more people become dramatically more capable?”
That is a very different conversation—and one that sits squarely within the Academy of Life Planning’s mission.
Academy of Life Planning 