What Is Vibe Working? A Guide for Finance and Deal Teams

Your managing director just used the phrase "vibe working" in a Monday morning standup. Your LinkedIn feed has been full of it for weeks. And you are not entirely sure whether it is a real shift in how work gets done or another tech buzzword that will be forgotten by Q3. Here is what you actually need to know.

The One-Sentence Version

Vibe working is the practice of delegating entire workflows to AI agents by describing the desired outcome — the intent, the constraints, the format — rather than executing each step manually.

The Slightly Longer Version

The term evolved from "vibe coding," a 2025 phenomenon where non-developers built functional software by describing what they wanted to an AI and letting it write the code. In 2026, the same principle migrated into professional workflows. Microsoft, Anthropic, and Google all adopted the framing, and it stuck.

The core idea is simple: instead of opening Excel, building a formula, formatting a cell, switching to PowerPoint, pasting a chart, and writing a summary — you describe the end state. "Analyze this quarter's revenue by segment, build a variance table against plan, and draft a one-page executive summary with the key callouts." The agent handles the intermediate steps.

This is not the same as asking ChatGPT a question. The distinction is autonomy. In a vibe working workflow, the AI agent operates across multiple files, applications, and steps without returning to you after each one. You set the direction. It does the work. You review the output.

The tools enabling this shift are the 2026 generation of desktop and enterprise agents — Claude Cowork, Microsoft Copilot Cowork, Google Gemini's Workspace Studio. These are not chatbots. They mount your file system, read your folders, produce real deliverables, and execute multi-step workflows while you do other things.

What Vibe Working Is Not

It is not "set it and forget it" automation. The output still requires review. AI agents in 2026 are significantly more capable than they were a year ago, but they still make errors — particularly on judgment-heavy tasks like assumption selection, nuanced financial terms, and firm-specific formatting conventions. The professional's role shifts from execution to quality control, not from work to no work.

It is not a replacement for domain expertise. An agent can build a three-statement model from a 10-K. It cannot tell you whether the management projections are aggressive, whether the working capital assumptions make sense for the industry, or whether the cap rate the seller is quoting is realistic for the submarket. Vibe working automates the mechanics. The judgment remains yours.

It is not prompt engineering. This is an important distinction. Prompt engineering is about crafting the perfect single query to get a good response from a chatbot. Vibe working is about managing an ongoing workflow — providing context, setting constraints, reviewing intermediate output, and redirecting when needed. It is closer to managing a junior analyst than to writing a search query.

Why It Matters for Deal Teams

The finance industry is particularly well-suited to vibe working because so much of the work is structured, repetitive, and template-driven. Consider the tasks that consume the majority of an analyst or associate's week:

Building comp sets from Capital IQ exports. Formatting sensitivity tables. Reconciling rent rolls against source leases. Populating CIM exhibits. Drafting IC memo sections from standardized inputs. Assembling lender packages. Abstracting lease terms from PDFs.

Every one of these tasks has a known structure, known inputs, and a known output format. They are execution-heavy and judgment-light. This is exactly the category of work where vibe working delivers the most value — not because the AI is smarter than the analyst, but because the analyst's time is better spent on the parts of the deal that require actual thinking.

Early 2026 data from firms adopting agent-based workflows suggests productivity gains of 40-65% on structured deliverables. The variance depends heavily on how well the firm's templates and conventions translate into prompts — which is where the learning curve lives.

What It Looks Like in Practice

A vibe working session for a CRE acquisitions analyst might look like this:

The analyst receives a new Offering Memorandum and a data room with 30 documents — leases, a T12, environmental reports, a rent roll, and a property condition assessment. Instead of opening each document individually, they drop the folder into Claude Cowork and provide the instruction:

"Read the OM and all lease documents. Build a lease abstract in Excel with the following columns: Tenant, Suite, SF, Lease Start, Lease End, Current Base Rent PSF, Annual Escalation, Renewal Options, Termination Rights. Cross-reference the rent roll against the lease abstracts and flag any discrepancies in occupied SF or base rent. Summarize the top 3 risks you identify in a one-page Word memo."

The agent works through the documents, builds the Excel file, performs the cross-reference, and drafts the memo. The analyst reviews the output, corrects any misread lease terms (amendment stacking is still a common failure mode), adjusts the risk summary based on their market knowledge, and moves to the next deal.

The total time from "folder received" to "deliverables ready for review" drops from a full day to two hours. The analyst's time shifts from reading and data entry to reviewing and applying judgment.

Where It Still Struggles

Vibe working is not a solved problem. There are specific failure modes that deal teams encounter regularly in 2026, and acknowledging them is important for setting realistic expectations.

Complex formatting conventions. Every firm has its own way of formatting sensitivity tables, its own IC memo structure, its own color-coding conventions in Excel. General agents do not know these conventions. The first time you vibe-work a deliverable, you spend almost as much time correcting the format as you would have spent building it manually. The payoff comes on the second, third, and tenth time — but the first pass is often frustrating.

Multi-amendment lease interpretation. A lease with four amendments that each modify overlapping terms is genuinely hard for AI. The agent may extract the original lease terms without recognizing that Amendment 3 superseded the base rent schedule. This is a known limitation across every general agent in the market.

Assumption selection. An agent can build a DCF model. It cannot tell you what discount rate to use. It will often default to textbook assumptions (10% WACC, 5x terminal multiple) that are technically defensible but not calibrated to the specific deal, market, or firm convention. The professional still owns the assumptions.

Confidentiality boundaries. Cloud-based agents like ChatGPT, Gemini, and Manus process files on remote servers. For deal teams handling pre-announcement M&A data or confidential lender information, this creates a real compliance risk. Local-first tools like Claude Cowork avoid this, but they come with their own setup complexity. Most firms in 2026 are still working out which workflows can go to the cloud and which must stay local.

How to Start

If your team has not adopted vibe working yet, the practical path is straightforward:

Start with extraction, not production. Lease abstraction, rent roll reconciliation, data room summarization — these are high-volume, low-judgment tasks where the AI's error rate is lowest and the time savings are highest. Do not start by asking the agent to build your IC memo. Start by asking it to read 40 leases and give you a structured summary.

Standardize your templates. The firms getting the most out of vibe working are the ones that have standardized their deliverable formats. If your sensitivity table always uses the same layout, your agent can learn it once and replicate it. If every analyst formats differently, the agent has nothing consistent to target.

Audit the first three outputs carefully. Vibe working builds trust through verification. Review the first few deliverables line by line. You will find the agent's consistent failure modes — the specific lease clause it misreads, the formatting convention it ignores, the assumption it defaults to. Once you know the failure modes, you can add constraints to your instructions that prevent them going forward.

Pick the right tool for the confidentiality level. If the data is pre-announcement, use a local-first agent. If the data is public or semi-public, cloud agents are fine and often faster. Do not apply a blanket policy — match the tool to the sensitivity of the specific workflow.

The Bigger Picture

Vibe working is not a fad. It is the natural consequence of AI agents becoming capable enough to handle multi-step execution. The underlying shift — from manual execution to intent-based delegation — is permanent, and it will accelerate as agents improve.

But for deal teams, there is a practical ceiling to what vibe working with general-purpose agents can deliver. You can describe the outcome you want, but you still have to describe it every time. You still have to specify the columns, the thresholds, the format, the firm conventions. The agent is powerful, but it is not opinionated about your industry.

Purpose-built AI coworkers — like those from Lumetric — remove that ceiling. They already understand rent roll structures, sensitivity table conventions, and IC memo formats for specific industries. Instead of describing the deliverable from scratch every time, you delegate to a coworker that already knows the job. That is the difference between vibe working with a generalist and vibe working with a specialist — and for deal teams producing institutional-quality deliverables, the difference matters.