What trends in finance and fintech are you most excited about?

What trends in finance and fintech are you most excited about? The most exciting trend is an evolution towards more flexible, data driven underwriting models that reflect actual cash flow instead of static points in time. In lending, this means decision making is increasingly based on how assets and businesses actually perform as opposed to such traditional measures of personal income. Significant too is the increased embedding of fintech in core operating systems, slashing friction for borrowers and shortening the length of time between intent and funding. What's most striking is that these technologies are making capital more responsive, more transparent and better aligned with the way entrepreneurs and investors operate today.

I'm very excited about new changes in the financial services and the fintech landscape. As Qatar National Vision 2030 and the robust support of regulators inspired me a lot. So the perfect blend of innovation and Islamic values makes it one of the fastest-growing sectors in the MENA region. Here are some of the trends: Rapid expansion of fintechs: The market is expected to reach $453 million in 2024 and grow to $2.02 billion by 2033. Given that the payment market was about $7.04 billion in 2025 and will reach approximately $14.54 billion by 2031, the surge in digital payment transactions to date has been significant. The amount of digital payment volumes increased from QAR 107 billion (2022) to QAR 130 billion (2024). Islamic fintech dominance: The Qatar fintech sector is ranked 8th globally (2024) and is expected to reach $4 billion by 2027. Islamic banking assets are valued at QR 586 billion (2024). Innovative regulation: Regulatory initiatives are being accelerated by QCB sandboxes, which are supporting increased adoption of digital wallets and insurtech advancements. Fintech Hub Positioning: Fintech deals are projected to represent 29% of all fintech volume (2024). As a result of the collaborative relationships between Qatar Financial Technology Hub (QFTH) and Qatar Financial Centre (QFC).

As I view this monumental shift from speculative blockchain towards RWA (Real-World Asset) tokenization characterised by the substantial revisioning of financial infrastructure / plumbing; it is arguably one of the largest changes in the world that I have observed to date. While most individuals still link blockchain technology with unpredictable digital currencies; value will be generated through the use cases for placing traditional asset classes such as: private credit; bonds; and real estate on-chain. Tokenized assets are not just a fad; they represent a dramatically transformed method for conducting financial transactions that provide long-lasting solutions to existing liquidity and settlement friction. According to research performed by Boston Consulting Group the tokenisation of global illiquid assets could reach $16 trillion (USD) by 2030; this indicates that there is a massive migration of institutional money into programmable environments. In addition, I am also excited to see the development of 'Agentic' AI within the overall FinTech architecture. We have entered into a time where we will move beyond simple generative Chatbots (GAIC) into a world where AI agents will be able to autonomously execute complex financial workflow including multi-layer compliance verification as well automated cross-border reconciliation. The true breakthrough will be when AI Agentic technologies provide an automated connection between legacy banking APIs and modern decentralised protocols grossly reducing the need for human intervention throughout every step of the transaction process. Another area that has my attention regarding AI development is how these types of teams will not simply take advantage of AI; they will design/build autonomous systems that treat [data integrity] and compliance as code rather than manual oversight. Moving toward these future technologies is not a straightforward process due to many forms technical debt and regulator skepticism but the ultimate goal is to reclaim our time while lowering operational risk. The encouraging trend is that we are shifting the focus away from the hype phase towards building long-lasting frameworks that provide security, reliability, and the ability to resolve many of the day-to-day challenges currently being faced within the global financial system.

I am witnessing how artificial intelligence (AI) has transformed from a trendy term, to now being a widely accepted method being used by 78% of banks to detect and prevent fraud. Unfortunately, despite being one of the coolest advancements in the event industry, there is a troubling number of organizations pursuing "flashy" use cases of AI, without clean and compliant data, resulting in approximately 30% misuse when predicting outcomes and putting companies at risk of receiving substantial fines. Here are my three proven tactics for scaling artificial intelligence (AI), without risk: Audit Pipelines First: Leverage tools such as Apache Kafka for real time data cleaning. In my experience, doing this improves the prediction accuracy rate by an average of 40%. 10% Rule: For pilot programs, scale AI by testing AI on only 10% of your transactions, allowing you to capture edge cases prior to widespread deployment. Ethical Guardrails: Utilise the NIST AI Risk Management Framework in your early analysis phase, allowing you to mitigate potential algorithmic biases in your prediction model. These methods, when implemented at my past company, resulted in at least a 65% reduction in fraud loss as well as $2M in previously "unlocked" revenue. I would love to speak to you further about how banks can bridge the "data-to-artificial intelligence" chasm.