Senior executives across finance technology, tax, infrastructure and cybersecurity predict that 2026 will see finance functions move from experimentation with Artificial Intelligence to more grounded deployment, under pressure from rising costs and escalating cyber risk. Accounting software leaders say finance teams are shifting from anxiety about Artificial Intelligence towards questions of implementation, control and responsible use, embedding automation more deeply into reporting, tax and risk workflows while boards and regulators step up oversight. They argue that customers increasingly want practical tools that remove repetitive work so teams can focus on analysis and decision making, positioning the future of finance as people led automation rather than machine led accounting, with developers expected to deliver predictable, transparent Artificial Intelligence systems that reinforce good financial practice.
Product leaders at Aqilla say finance professionals will need a new kind of technology literacy as Artificial Intelligence tools become embedded in day to day work, comparing prompt literacy to the earlier need to learn effective internet search. They highlight that large language models are now deeply woven into search, and that the convergence of search and Artificial Intelligence heightens the importance of transparency, traceability and verification of underlying data. The key divide in 2026 is expected to be between organisations that apply Artificial Intelligence thoughtfully and those that follow outputs unquestioningly, with advantage accruing to teams that embrace transparency, develop prompt literacy and maintain human judgement as they automate, rather than allowing Artificial Intelligence to run the finance function.
In tax, vendors expect agent based Artificial Intelligence systems to move into more practical, controlled deployments, with early use cases focused on low risk tasks such as data input and number crunching, before expanding into reviews that flag anomalies, highlight risks and prepare summaries for senior leaders. Economic pressures are set to intensify as UK businesses remain under cost pressure, with inflation still pushing prices higher and costs such as national insurance and employment expenses from 2025 weighing on investment and recruitment decisions, prompting firms to reassess complex processes and invest in modern tools, including Artificial Intelligence, to drive efficiency and unlock new insights. Infrastructure providers say fintech firms will continue to prioritise speed, uptime, reliability, security and scale, and will only adopt Artificial Intelligence and machine learning if they deliver real productivity advantages in trading and payments environments where data changes in milliseconds.
Cybersecurity specialists stress that finance leaders increasingly see cyber incidents as direct financial threats rather than pure technology problems, citing that in November a supply chain breach at real estate finance vendor SitusAMC forced major Wall Street banks to assess exposed mortgage and customer data, while UK Finance estimates that almost £100 million was lost to Artificial Intelligence driven investment scams in just the first half of the year. They note that the average cost of a data breach in financial services now sits at around $5.56 million per incident before litigation, regulatory fines and reputational damage, and that over the last 12 months security researchers helped firms by saving businesses a total of $128 million through finding and mitigating vulnerabilities early. As 2026 approaches, experts warn that Artificial Intelligence driven cyber activity will scale on both sides, with 41% of businesses already testing Artificial Intelligence assets as part of their work, and they argue that financial institutions must adopt a return on mitigation mindset and put offensive security testing of their Artificial Intelligence and third party attack surface on equal footing with product innovation to avoid being on the wrong side of future cyber incidents.
