Artificial intelligence adoption, a new fintech unicorn and renewed inflation concerns are shaping the New York Stock Exchange’s September 10 pre-market agenda. The NYSE update highlights growing consumer interest in AI-powered financial services, Rillet’s $1 billion valuation and fresh U.S. producer-price data that could influence expectations for Federal Reserve policy.

The financial technology sector is entering a more complicated phase of the artificial intelligence boom. Consumers are increasingly willing to experiment with AI for financial information, while investors continue to place substantial valuations on startups applying AI to core financial workflows.

Those themes are prominent in the New York Stock Exchange’s September 10 pre-market update, delivered by Ashley Mastronardi from the NYSE Trading Floor.

One of the day’s technology stories centers on Possible Finance, whose latest survey indicates that a minority of consumers are already comfortable receiving financial advice from AI. Roughly 15% of respondents said they would trust AI for financial advice, according to the NYSE briefing.

That figure points to an important distinction in financial technology: adoption does not necessarily equal trust.

Consumers may use generative AI to research financial products, compare options or explain unfamiliar concepts without being willing to delegate consequential financial decisions to an automated system. Research published in the Journal of Financial Planning this year found that interest in AI-based financial advice is associated with factors including fintech usage, financial literacy and trust in financial institutions.

Other research reinforces the trust gap. An HSBC survey of nearly 10,000 affluent and high-net-worth investors across 10 markets found that 73% use AI for finance and investment activities, but only 12% said AI was the most influential factor in their latest investment decision.

The implication for fintech companies is straightforward: selling AI to consumers may require emphasizing augmentation rather than replacement. Financial institutions and technology providers can use AI for personalization, fraud detection, research and customer service while keeping humans involved in higher-stakes decisions.

That issue is expected to feature in an NYSE Live conversation with Possible Finance CEO Tony Huang.

Meanwhile, enterprise financial technology is attracting significant private-market capital. Rillet has reached a $1 billion valuation after raising a $100 million Series C led by ICONIQ. The financing brings the AI-native enterprise resource planning company’s total funding to more than $200 million and represents its third financing round in roughly a year.

Rillet is developing AI-driven accounting software designed to automate work inside the financial ledger and help finance teams manage accounting operations in real time. The company says it serves more than 600 customers and has expanded beyond technology companies into sectors including healthcare, fintech, logistics and professional services.

The funding reflects a broader investor thesis around vertical AI: rather than simply adding chat interfaces to established software, startups are attempting to rebuild specific business processes around AI agents and continuously updated data.

That strategy puts companies such as Rillet into competition with established enterprise software providers including Oracle, SAP, Workday and Microsoft, while also creating potential opportunities for integration with platforms such as Salesforce.

Macroeconomic conditions, however, remain a critical backdrop for fintech and technology valuations.

The Bureau of Labor Statistics reported Thursday that the U.S. Producer Price Index for final demand increased 0.4% in August. On an unadjusted basis, producer prices rose 5.4% during the 12 months through August, accelerating from July’s 4.7% annual increase.

The result was slightly hotter than the 5.3% annual increase anticipated in the original NYSE pre-market briefing. Reuters reported that investors were increasingly pricing in the possibility of a Federal Reserve rate hike following the data, although the central bank’s decision remains dependent on a wider set of economic indicators.

The inflation data matters to fintech because interest rates influence borrowing costs, consumer credit demand, bank margins and startup financing conditions. Higher-for-longer rates can also pressure technology valuations by increasing the discount rate applied to future growth.

Markets are now turning toward the August Consumer Price Index, due Friday, for another indication of whether inflation is proving persistent.

The day’s NYSE programming also includes a milestone for payments company Paysafe, which is scheduled to celebrate its 30th anniversary at the Opening Bell. That places digital payments alongside AI and financial software as another part of the broader financial technology landscape represented on the exchange.

Taken together, the NYSE’s September 10 agenda captures three forces shaping GlobalFinTechEdge’s financial technology landscape: AI moving deeper into financial decision-making, capital concentrating around specialized fintech infrastructure, and macroeconomic conditions influencing how quickly those technologies can scale.

The next stage of fintech may therefore be less about whether AI will enter financial services and more about where consumers and institutions are willing to trust it.

Market Landscape

Financial technology is increasingly being shaped by the intersection of AI, digital payments, enterprise software and macroeconomic policy.

Consumer trust remains one of the largest barriers to fully autonomous financial AI. At the same time, institutional adoption is accelerating across accounting, lending, fraud detection, compliance and customer service. PwC’s 2026 Consumer Lending Radar found that 45% of surveyed borrowers had used generative AI for a financial question during the previous year, while 74% expressed concern about AI making lending decisions.

That gap creates an opportunity for hybrid financial technology: AI handles research and routine processes while human advisers and institutions retain responsibility for consequential decisions.

On the investment side, Rillet’s latest financing demonstrates that investors continue to fund AI-native infrastructure capable of replacing or rethinking legacy financial software. Meanwhile, elevated producer inflation is keeping monetary policy and financing conditions central to the outlook for technology companies.

Top Insights

• Consumer willingness to use AI for financial advice is growing, but trust remains substantially lower than general AI experimentation.
• Rillet’s $1 billion valuation reflects continued investor appetite for AI-native enterprise financial software and accounting infrastructure.
• August U.S. producer prices rose 5.4% annually, increasing attention on inflation and the Federal Reserve’s next policy decision.
• Fintech companies increasingly need to combine AI automation with human oversight as consumers distinguish convenience from financial decision-making authority.
• Payments, accounting software and AI-driven financial infrastructure remain closely connected as financial institutions modernize their technology stacks.

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