The Vanishing Class: How JPMorgan, Goldman, and Citigroup Are Using AI to Dismantle the Junior Analyst Pipeline
By Tim Kreling, Co-Founder, OVI
JPMorgan Chase has deployed its LLM Suite across more than 200,000 employees and logged over 400 AI use cases, backed by an $18 billion technology budget for 2026. Goldman Sachs rolled out GS AI Assistant firm-wide to approximately 46,000 staff after piloting with 10,000 employees in 2025, reporting productivity gains exceeding 20 percent on coding tasks alone. These are not experiments. Wall Street has industrialized AI — and the first structural casualty is the traditional junior analyst entry point.
What AI Has Automated on the Trading Floor
The tasks that once defined the first two years of an investment banking career — the 100-hour weeks building pitch decks, running comparable-company analyses, drafting financial models, and combing through compliance documents — are now handled by AI systems at scale.
JPMorgan's LLM Suite tackles pitch-deck drafting and first-pass financial modeling across the firm's investment banking division. CEO Jamie Dimon has valued the technology at $1.5 to $2 billion annually and stated plainly in December 2025: "The technology will eliminate jobs." Goldman Sachs President John Waldron described the firm's workforce as "a human assembly line ripe for automation," while CEO David Solomon estimated that roughly 25 percent of Goldman's total work hours could be automated.
At Citigroup, CEO Jane Fraser acknowledged that some roles "will no longer be required" and unveiled an AI-powered wealth management avatar to handle client interactions previously staffed by junior team members. Barclays has used AI to summarize more than 8 million customer calls since its October 2025 rollout, eliminating hours of manual note-taking and review work that junior analysts once performed.
The pattern is consistent: routine analytical, compliance, and documentation work — the foundation of the junior analyst apprenticeship — is being absorbed by AI systems faster than banks can redesign career pathways around it.
The Recruiting Shockwave: Two-Thirds Fewer Entry-Level Hires
The automation wave is translating directly into hiring numbers. According to McKinsey QuantumBlack data from June 2026, Wall Street banks are cutting junior analyst classes by up to two-thirds — an industry-wide estimate reflecting the aggregate trend, not a single bank's announced figure.
This is not a temporary hiring freeze. It represents a structural shift in how investment banks build their talent pipelines. Where banks once recruited hundreds of analysts from target universities each year as the foundation of a promote-from-within model, they are now redirecting headcount budgets toward AI specialists, machine learning engineers, and data scientists.
JPMorgan exemplifies the pivot. The bank is hiring more AI talent while reducing traditional banking analyst slots — a rebalancing that CEO Dimon has framed as inevitable. HireVue's 2026 Global Early Careers Benchmark underscores the competitive pressure on remaining entry-level roles: in the UK, entry-level positions now attract an average of 140 applications per vacancy, while US employers report 22 percent AI adoption in their hiring processes, with 62 percent of UK employers planning adoption.
The Human-Capital Quote That Backfired
Not all executives have navigated the messaging smoothly. Standard Chartered CEO Bill Winters described the bank's workforce reduction strategy as "replacing lower-value human capital with financial capital" — a framing that drew immediate backlash. Winters subsequently apologized for the characterization, but the underlying strategy remained unchanged. The retraction highlighted the tension banks face: they are making deeply consequential workforce decisions while struggling to articulate them without dehumanizing the people affected.
The Counter-Example: Bank of America Holds the Line
Bank of America stands as a notable counter-example. The bank is maintaining approximately 4,000 entry-level positions — roughly 2,000 internships and 2,000 full-time slots — while deploying AI for operational efficiency rather than headcount reduction. The approach reflects a different strategic bet: that the apprenticeship model remains essential for building the next generation of senior bankers and client relationship managers.
Goldman Sachs' Solomon has acknowledged this tension, noting that investment banking remains fundamentally "an apprenticeship business" where client relationships and judgment cannot be automated. Senior and client-facing roles remain anchored in human expertise even as the entry-level funnel narrows.
What This Means for HR Leaders in Financial Services
The Wall Street AI deployment wave creates a bifurcated talent market. On one side, traditional entry-level finance roles are contracting rapidly. On the other, demand for AI-literate financial professionals is surging. HR leaders in financial services face three immediate challenges: redesigning career pathways that no longer start with analyst grunt work, competing for AI talent against technology companies, and managing the reputational risk of visibly shrinking entry-level opportunity.
For candidates, the message is equally stark. The path into investment banking now runs through technical competency — AI fluency, data literacy, and the ability to work alongside automated systems — rather than through the traditional analyst program alone.
Source Attributions
Fortune — "Banks lay groundwork for mass workforce cuts as AI takes hold" (2026-06-07): JPMorgan LLM Suite deployment scale, Dimon quotes on job elimination, Goldman Waldron "assembly line" quote, Citigroup Fraser quote, Standard Chartered Winters quote and retraction context. fortune.com/2026/06/07/banks-mass-workforce-cuts-ai-entry-level-jobs-junior-analysts/
Value Add VC — "AI in Financial Services 2026: What JPMorgan, Goldman and BlackRock Are Actually Doing": JPMorgan 400+ AI use cases, $18B tech budget, $1.5–2B annual value estimate; Goldman GS AI Assistant pilot and productivity gains; Goldman Solomon 25% automation estimate; Citigroup AI wealth management avatar. valueaddvc.com/blog/ai-in-financial-services-2026-what-jpmorgan-goldman-and-blackrock-are-actually-doing
BigGo Finance — "Wall Street Entry-Level Jobs Vanish as AI Cuts Junior Analyst Hiring by Two-Thirds" (June 2026): McKinsey QuantumBlack two-thirds estimate, tasks AI has automated (pitch decks, modeling, compliance), Barclays 8M+ customer calls summarized. finance.biggo.com/news/A--DpJ4BLfE1EzqPui4u
HireVue — "Global Early Careers Benchmark 2026: From Growth to Resilience": US 22% AI adoption, UK 62% planning adoption, UK 140 applications per vacancy. hirevue.com/blog/hiring/global-early-careers-benchmark-2026-from-growth-to-resilience
Metaintro — "Wall Street Hiring Flips in 2026 as JPMorgan Prioritizes AI Over Bankers": JPMorgan hiring pivot from analysts to AI talent, BofA maintaining ~4,000 entry-level slots (2,000 interns + 2,000 full-time), "apprenticeship business" framing. metaintro.com/blog/jpmorgan-dimon-hire-more-ai-fewer-bankers-2026
Which banks are cutting junior analyst hiring?
JPMorgan, Goldman Sachs, Citigroup, and Barclays are all deploying AI that reduces the need for traditional junior analyst roles. McKinsey QuantumBlack estimates that Wall Street banks are cutting entry-level classes by up to two-thirds industry-wide.
What tasks has AI replaced in investment banking?
AI now handles pitch-deck drafting, comparable-company analysis, first-draft financial modeling, document review, routine compliance checks, and customer call summarization — tasks that previously occupied junior analysts for their first one to two years.
Are any banks maintaining entry-level hiring?
Yes. Bank of America is maintaining approximately 4,000 entry-level positions (2,000 interns and 2,000 full-time) while using AI for efficiency gains rather than headcount cuts.
What roles are growing as junior analyst positions shrink?
Banks are actively hiring AI specialists, machine learning engineers, data scientists, and professionals with hybrid finance-technology skills. JPMorgan's $18 billion tech budget for 2026 reflects this reallocation.
How should junior candidates reposition themselves for Wall Street careers?
Candidates should build AI fluency, data literacy, and technical skills alongside traditional finance knowledge. The ability to work with and manage AI systems is becoming a baseline requirement rather than a differentiator.
How widespread is AI adoption in early-career hiring globally?
HireVue's 2026 Global Early Careers Benchmark reports 22 percent AI adoption among US employers, with 62 percent of UK employers planning adoption. UK entry-level roles now average 140 applications per vacancy, intensifying competition for remaining positions.