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Only 1 in 4 young adults got financial education at school, study shows

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Only 1 in 4 young adults got financial education at school, study shows

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Only one in four young adults say they received any financial education at school, according to new research, highlighting the scale of the UK’s challenge to ensure children are taught how money works.

The survey of 18 to 21-year-olds found that only 26 per cent of participants said they had received any financial education at school last year.

Santander UK, which conducted the survey, said the findings, if applied to the whole young population, would mean 4mn people finished their education without a “fundamental understanding of money management”.

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William Vereker, Santander UK chair, said the research raised “significant” concerns that “the current school curriculum does not always equip young people with the knowledge they need to plan and manage their financial futures”.

“This gap is leading young adults to potentially unreliable online resources for advice,” he added.

The research, based on the responses of 2,000 people, took place just over a decade after financial education was added to the curriculum of local authority-run secondary schools in England. It was introduced in Wales in 2022.

Since the policy was introduced, the subject has largely been incorporated into non-core subjects, such as citizenship. It is optional for academies and free schools that are independent of local authorities and have greater flexibility than other schools.

Campaigners have warned that a lack of confidence in basic numeracy is making it harder for young people to manage money, find a job and can lead to mental health problems.

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Charities, including the Financial Times’ Financial Literacy and Inclusion Campaign, have pressed the government to introduce policies that support better financial education.

The study found that young people were increasingly searching out alternative sources of information, with 31 per cent of those surveyed having turned to social media influencers for advice and 25 per cent using TikTok. 

The report, shared with the FT, also revealed that 79 per cent of those surveyed had never created a budget; 76 per cent had never paid a bill; and 77 per cent had not set aside funds for unexpected expenses.

Earlier last year, MPs on the House of Commons education select committee called on ministers to review the contents of the current maths curriculum to expand “the provision and relevance” of financial education. 

The cross-party group called on the government to make the “personal and societal elements” of financial education compulsory at primary and secondary school level.

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The department for education said “high and rising standards” were at the heart of the government’s mission to break down the barriers to opportunity and give every child the best life chances.

It added that “financial education already forms a compulsory part of the national curriculum for maths at key stages 1-4 and citizenship at key stages 3 and 4”.

This covered “personal budgeting, calculating interest, financial products and services, and how public money is raised and spent”, the department said.

The curriculum and assessment review, being led by Becky Francis, a professor and expert in education policy at University College London, was considering how to guarantee that the curriculum “ensures young people leave education ready for life and work”.

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Finance

How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA

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How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA

For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.

At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.

That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.

From manual reporting to proactive decision intelligence

An enterprise AI platform built for your business

The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.

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The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.

“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”

A collaborative architecture for scalable AI adoption

Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.

Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.

“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.

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The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.

A blueprint for other businesses

The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.

The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.

Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.

“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”

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For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.


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Finance

Low-income Chinese girl aces gaokao, inspires live-streamers offering help

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Low-income Chinese girl aces gaokao, inspires live-streamers offering help

A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.

The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.

This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.

She has received offers from China’s two leading universities, Tsinghua University and Peking University.

Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.

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Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.

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Finance

UK financial regulator publishes landmark AI review

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UK financial regulator publishes landmark AI review

The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.

The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”

The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.

Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.

The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted.   Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.

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The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.

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