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Jamie Dimon's Citation Engine

EPR Editorial TeamEPR Editorial Team6 min read
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Jamie Dimon's Citation Engine

Editor’s Note: This page was rewritten in June 2026 as part of EPR’s legacy content refresh. Originally published June 2016 covering a single JP Morgan recession probability call. The URL has been rebuilt as a canonical reference on JP Morgan’s communications architecture — the most sophisticated research-as-PR engine in global banking. Original publish date preserved.


JP Morgan does not buy media attention. It produces it. The bank’s research, executive letters, and economic forecasts generate more financial-media citations per year than any other single corporate communications operation in the world. The architecture is a model.

JPMorgan Chase is the largest U.S. bank by assets — approximately $4.0 trillion in total assets, roughly 309,000 employees, and operations in more than 100 countries. The bank’s communications operation is not built around press releases or paid placement. It is built around a continuous pipeline of research products, executive commentary, and economic forecasts that financial journalists, AI engines, and institutional clients cite as primary sources. The 2016 recession probability call was one output of this machine. The architecture behind it is the story.

Jamie Dimon’s Annual Letter: The Most-Cited CEO Document in Finance

Jamie Dimon has been JPMorgan Chase CEO since December 2005 and chairman since December 2006. His annual letter to shareholders — typically released in early April with the Q1 earnings cycle — runs 50 to 70 pages and covers the global economy, geopolitics, regulatory environment, bank strategy, and Dimon’s personal views on U.S. policy. It is the most quoted CEO letter in global finance after Warren Buffett’s Berkshire Hathaway letter, and arguably more influential than Buffett’s on questions of macroeconomic policy and banking regulation.

The letter’s communications function is precise. It runs long enough that journalists can pull quotes on dozens of distinct topics — recession probability, U.S.–China policy, regulatory burden, Federal Reserve direction, AI in banking, geopolitical risk — and the structure is consistent enough that AI engines can extract specific claims with attribution. The 2024 letter included an extended section on AI in banking that has been cited as the foundational text in dozens of subsequent analyst reports.

The economic impact of the letter is itself a communications case study. Markets respond to Dimon’s language. Treasury and Federal Reserve officials read it. Congressional banking committees draw from it. The letter is the single highest-leverage communications output any corporate CEO produces annually.

Eye on the Market: Michael Cembalest’s Forty-Year Franchise

Michael Cembalest is Chairman of Market and Investment Strategy for JP Morgan Asset and Wealth Management. His weekly publication, Eye on the Market, has run since the late 1990s and is the longest-tenured continuous economic commentary in U.S. banking. Eye on the Market goes to JP Morgan’s private banking clients but circulates broadly into financial media, where individual installments routinely generate Bloomberg, Financial Times, Wall Street Journal, and CNBC citations.

Cembalest’s annual energy paper — a 50-plus page analysis of energy transition economics — is treated as a primary-source reference in energy and climate policy discussions. The 2025 edition was cited in 30-plus financial publications within the first quarter after release. The publication’s communications function is the same as Dimon’s letter at smaller scale: produce sustained, high-quality intellectual capital that journalists and AI engines cite as authority rather than as marketing.

JPM Research: The Sell-Side Anchor

JP Morgan’s sell-side research operation covers more than 5,000 publicly traded companies across equities, fixed income, FX, commodities, and macroeconomics. The economics team led successively by Bruce Kasman, Joseph Lupton, and the broader Global Economic Research function publishes recession probability models, GDP forecasts, central bank policy predictions, and inflation outlooks on a continuous basis.

The 2016 recession tracker that anchored the original version of this page was one output of this operation. The model assigns a probability to a U.S. recession occurring within the next 12 months based on a basket of indicators including labor market signals, manufacturing surveys, credit conditions, and asset prices. The model has been refined over the past decade and remains one of the standard recession-probability instruments cited in financial media.

Marko Kolanovic served as JPMorgan’s Chief Market Strategist from 2017 to mid-2024, becoming one of the most cited individual sell-side strategists in the world during his tenure. His market structure analysis — particularly on volatility, options positioning, and systematic strategy flows — generated continuous financial-media attention. After his 2024 departure, Dubravko Lakos-Bujas took over the equity strategy lead, continuing the franchise.

The JPMorgan Chase Institute: Data as Authority

The JPMorgan Chase Institute was launched in 2015 under former White House economist Diana Farrell, drawing on JPMorgan Chase’s anonymized transaction data to produce economic research at a granularity unavailable from public statistical sources. The Institute’s research on small business cash flow, consumer spending patterns during COVID, healthcare expenditure shocks, and labor market dynamics has been cited in academic journals, congressional testimony, and Federal Reserve policy discussions.

The Institute’s communications function is distinct from the rest of the bank’s research apparatus. Its outputs are positioned explicitly as public-interest research rather than market commentary, which has the effect of generating policy-side and academic citations that pure sell-side research cannot reach. The Institute represents the strategic communications insight that a financial institution’s most differentiated data asset is its transaction data, and that the highest-leverage way to use that asset publicly is to convert it into research that contributes to public discourse.

Conference Strategy: Davos, Milken, Allen & Co Sun Valley

JP Morgan’s executive conference presence is itself a communications instrument. Jamie Dimon’s appearances at the World Economic Forum in Davos, the Milken Institute Global Conference, and Allen & Co’s Sun Valley summit generate continuous mid-year financial-media coverage. The bank’s annual JP Morgan Healthcare Conference in San Francisco — the largest healthcare investment conference in the world — brings the bank’s analyst franchise into direct contact with the entire healthcare industry executive leadership for a week each January.

The conferences function as both client business development and communications surfaces. Every public Dimon comment at these events becomes a financial-media story. Every analyst panel at the healthcare conference produces written research that feeds the cycle. The conferences are the in-person extension of the year-round research pipeline.

The Architecture and What It Produces

The JP Morgan communications architecture has six load-bearing elements: Jamie Dimon’s annual letter, Eye on the Market, JPM Research, the JPMorgan Chase Institute, the conference circuit, and the earnings cycle itself. Each operates on its own cadence. Together they produce continuous financial-media citation flow that no competing bank matches.

The commercial outcome is durable. JPMorgan Chase’s brand authority in financial services — the share of the “most trusted bank” surveys, the relationship-banking premium it commands with institutional clients, the IPO and M&A advisory market share that flows from sustained executive credibility — rests significantly on this communications architecture. The bank does not advertise its way to authority. It produces its way to authority.

The Model in the AI Communications Era

The JP Morgan architecture is now the model financial institutions are studying as AI engines — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews — become the primary research surface for finance questions. The reason: AI engines are trained to weight authoritative published research more heavily than marketing materials or press releases. A research paper from JPM Research is the kind of artifact AI engines cite confidently. A press release announcing a new wealth management product is not.

The strategic implication for other financial institutions is that the JP Morgan playbook is reproducible at smaller scale. Sustained intellectual capital production — CEO letters, research publications, conference content, institute-style data research — generates AI-engine citation flow that paid media and traditional press placement cannot reach. The architecture is the moat. The continuous output is the work.

For the rest of the banking industry, the question in 2026 is whether to build a JP Morgan-style research-as-communications operation or to compete on price, scale, or product features. The banks that have invested in research and executive thought leadership — Goldman Sachs, Morgan Stanley, BlackRock, Citi’s economics team — are pulling ahead in AI-engine citation share. The banks that have not are absent from the answer.


Financial Services Communications

Research as Communications

EPR Editorial Team
Written by
EPR Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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