I now have comprehensive, fresh data to construct both parts of today's briefing. Let me synthesize what is genuinely new for July 9, 2026, and produce the full output. --- ## Finance Pulse | Thursday, July 9, 2026 **Bottom line: Q2 earnings begin tomorrow at the big banks, and three angles define what is genuinely new today: oil-price disinflation from the Iran ceasefire is quietly reshaping the Fed's rate hike probability toward a hold-for-the-rest-of-2026 scenario, which compresses the tightening tail risk that CFOs have been modeling all quarter; the earnings read-across for super-regionals now pivots on whether deposit-cost discipline held against accelerating C&I loan demand; and the Bain CFO Survey data on workflow debt reveals that deploying AI without redesigning jobs is the dominant failure mode in finance transformation right now -- a structural insight that should reframe every bank AI conversation from "what tool did we buy?" to "what did we change?"** --- ## Top Takeaways 1. The Iran-ceasefire oil shock reversal is now the single biggest swing factor in the near-term rate path. The U.S.-Iran war has morphed into a shaky ceasefire and oil tankers have again started transiting the Strait of Hormuz, pulling energy-driven headline inflation lower. With oil prices plunging and inflation dropping toward four point two percent, the Fed's rate calculus shifts materially. CFO planning assumptions built around a late-2026 hike must now be stress-tested against a prolonged hold scenario. 2. Q2 bank earnings commence imminently with a split story. The higher-for-longer rate environment likely offered banks an opportunity to expand NIM if they could contain rising deposit costs, with total Finance sector Q2 earnings expected to surge twelve point five percent on eight point one percent higher revenues. But analysts will be scrutinizing NIM to see if there is any evidence of compression, noting that while most banks are predicting stable deposit costs for the remainder of the year, there is a risk they could creep higher due to increased competition and a hawkish Fed. 3. The dominant AI failure mode in finance is now named and quantified. Eighty-four percent of organizations that have deployed AI without redesigning jobs have created exactly this problem: technology deployed, adoption low, impact minimal. This is the correct frame for every bank AI conversation in 2026. --- ## Three Key Themes **Theme 1 (New): The Ceasefire Disinflation Trade and the Hold Scenario** The Iran ceasefire is not just a geopolitical footnote; it is a live macro variable. The Strait of Hormuz reopened officially on June eighteenth, having been closed for most of the second quarter, which caused a spike in oil prices due to supply constraints. With energy prices now retreating, the supply-shock inflation narrative that drove Warsh's hawkish June tone is softening. It is now starting to look as if the Fed will not change rates at all this year. For bank CFOs, this is a critical scenario to model: a full-year hold at three and a half to three and three-quarters percent is different from a hike path, because it arrests any further NIM compression from rising deposit repricing costs while providing no new asset-yield uplift. The planning assumption that rates drift toward four percent -- which futures markets were pricing as recently as July second -- now has a credible challenger. **Theme 2 (Evolving): Q2 Earnings as a Live NIM and Deposit-Beta Stress Test** The Federal Reserve's assets and liabilities report reflects a smooth acceleration in loan growth during Q2 2026, with C&I loans surging at an annualized rate of fifteen point nine percent in April alone, surpassing the twelve point two percent growth in Q1, before moderating to a still-strong ten point nine percent in May. For super-regionals, this C&I surge is a double-edged signal: volume supports NII, but aggressive deposit-beta competition from peer money-center institutions like JPMorgan and Wells Fargo poses a persistent pressure point on lower-cost retail deposit retention. The question that earnings calls will answer: did Truist, Citizens, Regions, and KeyCorp absorb that loan growth while keeping funding costs flat, or did they pay up? **Theme 3 (New): Capital Markets Windfall as a Finance-Function Planning Complexity** JPMorgan's pre-earnings signaling is the clearest read-across signal of the season. JPMorgan expects markets revenues to rise eleven percent, reflecting persistent volatility and strong client demand across FICC and equities, with IB fees anticipated to increase ten percent or "a little better." Strong equity capital market activity in Q2, including high-profile IPOs from SpaceX, Cerebras Systems, and Quantinuum, served as earnings tailwinds, with those IPOs providing a "multiplier effect" triggering secondary trading and financing activity. For finance function leaders, this windfall creates a distinct planning complexity: fee income volatility at this scale makes forward revenue modeling materially harder, and FP&A teams without rolling scenario architectures will have struggled to keep pace with the intra-quarter signal. --- ## Banking Finance-Function Metrics The universals are setting the earnings floor. JPMorgan guided NII ex-Markets of approximately ninety-five billion dollars for full-year 2026, with total NII of approximately one hundred and three billion, and Markets NII expected to decrease to approximately eight billion, predominantly due to rates. Bank of America reports July fourteenth, and in Q1 2026 the firm generated net revenue of thirty point three billion dollars, net income of eight point six billion, and a Return on Tangible Common Equity of sixteen percent, driven by stabilized NIM, rigorous expense control, and expansion in wealth management fee income. For super-regionals, the comparable read-across on ROTCE and efficiency ratio will be the benchmarking baseline for finance transformation conversations: if the universals are running sixteen percent ROTCE with improving efficiency, the implicit question for a PNC or a Truist CFO is what the structural cost gap looks like. On credit, the forecast for the broader consumer credit landscape is one of controlled risk, with TransUnion projecting credit card delinquency rates to remain virtually flat, the ninety-plus days past due rate forecast to rise by just one basis point to two point five seven percent in 2026. --- ## Regulatory Radar Basel III finalization is in the processing phase with no material new signal today. The comment window closed June eighteenth. What is worth noting is the operational burden already accumulating: the Basel III Proposal increases risk sensitivity, sets higher expectations for data and technology, and requires banks to review capital allocation, business strategy, and profitability across the organization, with banks needing to upgrade risk data, technology, and governance to meet stricter regulatory standards. This is not just a regulatory story; it is a finance-data modernization mandate. The capital package lowers capital requirements overall and reduces duplication across the framework, but it creates new strategic and operational questions for treasury, risk, finance, reporting, and data teams. The UK angle provides a timeline benchmark: on January twentieth, 2026, the Prudential Regulation Authority published its final policy statement confirming a general start date of January first, 2027 for Basel three point one. U.S. CFOs watching their UK counterparts are seeing the data and reporting build-out now entering execution mode, which is the clearest forward indicator of what the U.S. implementation sprint will look like. --- ## AI in Finance The headline insight from the Bain CFO Survey 2026 deserves sharp treatment here because it reframes the whole AI-in-finance conversation. Roughly twelve percent of finance organizations have deployed machine learning in FP&A forecasting at full scale, yet in many cases the underlying process has not changed, with finance teams running AI-generated forecasts alongside existing bottom-up planning cycles: two processes running in parallel, neither fully trusted, with cycle-time, headcount, and accuracy benefits largely unrealized. Bain calls this "workflow debt." If workflow debt is not addressed, AI and automation can multiply complexity instead of productivity; the organizations getting the most from AI use it as a forcing function to ask which steps, handoffs, and approvals are necessary. On where finance AI budgets are actually going: results to date are strongest in transactional finance, especially invoice-to-cash and procure-to-pay, even as near-term investment attention shifts toward FP&A and financial reporting; the pragmatic path is to first industrialize value streams where the economics are proven, then expand with a mature scaling engine. More than half of CFOs are increasing AI investment by over fifteen percent this year, Bain research shows. On adoption data: the State of AI in Finance 2026 report finds that fifty-six percent of finance leaders now use AI, double the adoption rate seen in 2023, yet finance still ranks last among all business functions in AI deployment. Forty-five percent of finance teams remain in limited pilot mode; only seventeen percent are using AI in core workflows. The vendor landscape is converging on embedded AI as the delivery model: the biggest finance technology trend in 2026 is AI moving from standalone features into the daily workflow of ERP, FP&A, payroll, AP, and spend management platforms. For Deloitte, Finance Trends 2026 research shows most finance departments piloting AI use cases, with sixty-three percent actively using AI solutions. CFO agenda connection: the workflow-debt problem maps directly to the bank finance function. When a bank's FP&A team runs an AI forecast in parallel with a manual bottom-up cycle, the cost of two paral