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Insights and Expertise




        There is an argument to be made for a longer range view.
        The emphasis has been on how AI can be deployed at
        scale to improve financial flows, logistics, infrastructure   Regulation alone will not
        and coordination across entire systems. The payoff of that
        approach is now becoming visible. Long-term planning        resolve this. Nor will simply
        compounds. Short-term optimization eventually hits con-        building more powerful
        straints.
                                                                       models. The deeper issue
        We often get told we have lost the art of cathedral think-
        ing: the mindset that accepted a project might take genera-  is what we are choosing to
        tions to complete. Modern political cycles, typically four or
        five years, reward visible short-term wins over structural              optimize for.
        investment, and the same logic can apply in technology.
        An instant-gratification mindset is unlikely to produce re-
        silient AI services, but a longer horizon might.
                                                                agement systems depend on continuity. A wave of failed
        Regulation alone will not resolve this. Nor will simply   vendors and inflated claims can make buyers more cau-
        building more powerful models. The deeper issue is what   tious, even toward solutions that warrant confidence.
        we are choosing to optimize for. Longevity, resilience and
        shared  utility  tend  to  deliver  slower  initial  returns,  but   This is where a more collective approach becomes impor-
        they also reduce the likelihood of sharp corrections. In fi-  tant. Investing in resilient infrastructure, shared standards
        nancial services, that trade-off is well understood.    and interoperable systems may not generate headlines, but
                                                                it ensures that when the hype subsides, the foundations
        Fintech already knows what durable AI looks like        remain solid.

        In payments and fintech, AI has been delivering value qui-  Bringing it back to payments
        etly for years. Fraud detection, transaction monitoring and
        risk scoring systems are not speculative. They are embed-  For payments, the takeaway is straightforward. Reinforc-
        ded, measured and continuously improved. They do not    ing the rails matters more than chasing novelty. Systems
        promise transformation overnight. They promise fewer    that reduce fraud, optimize routing and protect smaller
        false positives, lower losses and more resilient networks.  businesses create compounding benefits across the eco-
                                                                system. They also stand the test of time.
        That is why the current fixation on generative AI and large
        language models deserves caution rather than dismissal.   Feathering individual nests through speculative AI de-
        Some applications will prove useful. Many will not. Treat-  ployments may deliver short-term gains. It does not create
        ing all AI as if it were synonymous with LLMs distorts   long-term stability. At scale, that approach increases the
        investment decisions and boardroom priorities.          likelihood of the very bubbles the industry claims to fear.

        A widely cited figure suggests the majority of AI initia-  A slowdown in AI investment does not have to be destruc-
        tives fail to deliver their expected returns. That failure   tive. Managed with discipline, it can provide clarity. It can
        rate is not a technology problem. It is a problem of intent,   distinguish durable infrastructure from disposable exper-
        evaluation and discipline. When tools are adopted for vis-  imentation, and long-term systems from short-term noise.
        ibility rather than utility, disappointment is the predict-
        able outcome.                                           The AI bubble has not burst. But when momentum inevi-
                                                                tably cools, the organizations that endure will not be those
        For fintech, the risk is not that AI ceases to function. It   that chase attention. They will be those that build for lon-
        is that infrastructure-level applications become collateral   gevity, not simply for launch.
        damage from overpromising elsewhere.

        What a lull would expose                                Scott Dawson, head of sales and strategic partnerships at DECTA, is a
                                                                highly motivated and results oriented individual with 20 years of experi-
        If the market moves into a slower phase rather than a full   ence within the payments industry. Previously, he served as commercial
        crash, the consequences will still be meaningful. Capital   director at Neopay. He has also held fraud management positions at PSI
        will tighten. Procurement cycles will extend. Experimen-  Holdings and Neteller, before becoming senior fraud manager and then
        tal deployments without a clear operational rationale will   business development manager at ClickandBuy, which was acquired by
        likely be cut first. That is not catastrophe; it is recalibra-  Deutsche Telekom. DECTA provides end-to-end payment infrastructure,
        tion.                                                   from acquiring to issuing and processing, but unlike other players in
                                                                the crowded payments marketplace the company offers bespoke-as-
        The greater risk lies in allowing that recalibration to erode   standard solutions aimed at making payments accessible to everyone.
        trust in AI systems already performing essential work.   Contact Scott via LinkedIn at linkedin.com/in/scott-dawson-uk.
        Payments infrastructure depends on reliability. Risk man-
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