[ECON] AI 진단 리포트

Oops, something went wrong TMX started 2026 with clear momentum across capital formation, markets (notably rising derivatives activity and robust equity volumes) and recurring Global Insights revenue, and its AlphaX US platform has exceeded early benchmarks while serving as a technology testing ground for broader deployment. Executives view AI as more of an opportunity than a threat—TMX plans to leverage AI to boost developer productivity and product delivery while relying on proprietary data and network effects that they say are less susceptible to commoditization. TMX sees tokenization as a way to cut payments and post‑trade friction (especially for collateral), but cautions some token models could fragment liquidity unless tied back to underlying registries, and its modernized post‑trade infrastructure and CCMS position the firm to capture related opportunities. Interested in TMX Group Limited? Here are five stocks we like better. TMX Group (TSE:X) executives said the company has started 2026 with momentum across capital formation, markets, and recurring-revenue data and analytics businesses, while positioning the organization to benefit from emerging themes such as artificial intelligence and tokenization. Speaking with National Bank Financial equity research analyst Jaeme Gloyn, David Arnold, TMX Group’s chief financial officer, and Luc Fortin, president and CEO of TMX Global Markets and Post Trade, provided updates on quarterly trends, the company’s view of AI-related disruption, post-trade modernization, and the performance of its AlphaX US platform. → Is Oracle the First of the AI Bubbles to Pop? Arnold said TMX will report first-quarter results in the first week of May and pointed to January and February statistics as encouraging. In capital formation, he cited “a really strong January and February” driven by secondary financings and some IPO activity, describing “early green shoots.” He added that activity in early March was affected by geopolitical developments, saying that “what’s going on in the Middle East… has taken a little bit off the pipeline,” while emphasizing that the IPO pipeline “remains really strong.” Arnold also said corporate solutions benefited from “a lot of corporate actions” and “some net interest income pickups.” → The Often-Missed Corner of Healthcare That Wall Street Is Loving Fortin, discussing markets, said derivatives activity was quieter in January amid uncertainty about central bank rate movements. He said that changed as volatility increased, stating, “the markets have just literally exploded,” and that the derivatives business is “doing exceptionally well.” He added that equity volumes were “similar to the levels we were seeing during the pandemic.” Arnold said the company’s Global Insights segment—described as “primarily the recurring revenue businesses”—also started strongly. He highlighted continued strength at TMX Datalinx, growth in VettaFi’s “assets under index,” and performance at Trayport, TMX’s London-based natural gas and energy trading platform. Arnold said Trayport continues to perform “really above our expectations of high single to double digits.” → Why It's Not Time to Give Up on the Gold Trade Asked about investor concerns that AI could disrupt market data and analytics, Arnold said TMX sees “more opportunity than risk.” While acknowledging that “small elements could be disintermediated,” he said TMX can “do that to ourselves to do it better, faster, cheaper.” Arnold repeatedly framed TMX’s competitive positioning around proprietary data and network effects. Using Trayport as an example, he said the platform’s value comes from “bringing together a network of brokers, traders, and exchanges,” calling the resulting data proprietary and arguing that “without the network connectivity, the software is meaningless.” He made a similar point about VettaFi’s index and benchmark operations, saying AI can assist certain functions but that key elements of active work and commercialization are “less AI disruptable.” Internally, Arnold said AI tools are being used to increase productivity, describing an emphasis on “doing more with the same” and reducing the need to scale headcount, while noting TMX is a significant software developer and is using AI tools in development workflows. On the question of whether AI increases demand for high-quality data or commoditizes it, Arnold said demand “continues to increase” while pricing models evolve, drawing a parallel to past shifts driven by algorithmic and high-frequency trading. He added that many clients want “raw data” and prefer to generate their own insights—whether using humans or AI—rather than purchasing AI-generated insights from TMX. Fortin said TMX views tokenization through two lenses. First, he highlighted tokenization’s potential to reduce friction in payments and post-trade processes, particularly for large institutions moving capital and collateral across entities. “Tokenization solves for a lot of these

1. 재무 및 펀더멘탈 분석 (Financials)

2. 기술적 지표 및 차트 분석 (Technical)

3. 🔥 향후 대응 전략 (Strategy)