In a bold leap forward, Perplexity has unveiled its new “Perplexity Labs” feature—an AI-driven analytical engine capable of generating in-depth financial reports, spreadsheets, and interactive dashboards with minimal human input.
In this article, we dive into two astonishing examples of what Perplexity Labs’ AI can already do—real-world tasks that were once the exclusive domain of analysts, consultants, and mid-level strategists. These aren’t hypothetical capabilities or marketing fluff. These are actual outputs generated by Perplexity in response to straightforward prompts—one for public market investment research, and another for outbound B2B business development.
We’ll explore the article in two halves. The first looks at how Perplexity mimics—and in many ways surpasses—a hedge fund analyst performing deep equity research. The second examines how it takes on the role of a tech consultant or sales strategist, building customer lists, segmenting leads, and writing personalized outreach emails to executives at scale.
What becomes clear is that this isn’t just another productivity tool. It’s a fully capable research and execution engine, one that compresses days of work into minutes and eliminates the need for layers of human coordination. As we unpack these two examples, the disruptive implications come into sharp focus—for analysts, for consultants, and especially for middle managers whose job has long been to bridge insight and execution. Perplexity doesn’t bridge—it leaps. And it might just leap right over you.
The Analyst Apocalypse, Part I: When Perplexity provides Trading Strategy
A recent example demonstrates just how far this technology has come: given a single prompt to analyze Apple’s stock performance around its annual WWDC event, Perplexity Labs produced a professional-grade strategy report that would rival the output of seasoned financial analysts or consultants.
The prompt, seemingly simple—“Recommend a momentum trading strategy for Apple stock around the 2025 WWDC event”—kicked off a sequence where the AI generated multiple trade timing options, backtested five years of stock data from Yahoo Finance, calculated returns, win rates, Sharpe ratios, and then synthesized it all into crisp tables, strategy recommendations, and even an interactive dashboard, that’s like a mini-app for that task where you can access all information regarding the topic via visualizations. In short, it did the work of a cross-functional team—quant analyst, data scientist, strategist, and data visualization expert—all in minutes.
This isn’t just impressive—it’s disruptive.
The capabilities showcased by Perplexity Labs underscore a larger truth that’s becoming harder to ignore: AI is no longer an assistant; it’s a potential replacement. Analysts and consultants who once relied on proprietary models and slide decks now face direct competition from AI that can ingest, compute, and visualize with superhuman speed and accuracy. What used to take hours or days now happens instantly—with no salary, no meetings, and no margin for human error.
Middle management, whose roles often hinge on interpreting and presenting data-driven insights, could also be at risk. If an executive can interact directly with a tool like Perplexity Labs—pose a strategic question and get a fully fleshed-out, visually digestible answer—why maintain layers of reporting?
Of course, we’re not entirely at the point of full replacement. AI still lacks judgment, context, and creativity in ambiguous scenarios. But when it comes to structured, repeatable analysis—especially in finance, operations, and consulting—AI like Perplexity Labs is not just catching up; it’s overtaking.
The future of white-collar work is being rewritten in real time. Tools like Perplexity Labs make it abundantly clear: analytical power is no longer the sole domain of humans. For many roles built on data synthesis, insight generation, and reporting, the clock is ticking.
The Analyst Apocalypse, Part II: When Perplexity Starts Prospecting
In a second demonstration of terrifying competence, Perplexity was asked to do what many junior consultants, sales teams, and business analysts spend days—if not weeks—doing: find potential customers. The prompt? “We are a tech consulting firm in the Gen AI field. Please create a potential customer list for us…” The rest was classic business development: identify B2B U.S. startups at the seed, Series A, or Series B stages in need of AI enablement; collect detailed contact information, and package it with business descriptions, funding data, and ideally, a dashboard.
The output? Flawless.
Perplexity returned a curated, investment-grade list of 20 AI-forward startups—segmented by funding stage, industry focus, and growth potential. The output included executive contact info, physical addresses, funding history, valuation data, and strategic commentary. It even produced a CSV file and an interactive dashboard—tools that would normally require collaboration between an SDR (Sales Development Rep), a market researcher, and a Salesforce admin.
But it didn’t stop there.
Perplexity generated personalized cold outreach emails to each CEO at the Series A companies. These weren’t generic “Hi, we offer AI consulting…” templates. They were tailored letters, demonstrating a deep understanding of each executive’s career trajectory, each startup’s product-market position, and the unique AI problems they are solving.
Take Sierra, for example: Perplexity referenced co-founders Bret Taylor and Clay Bavor by name—highlighting Taylor’s past as Salesforce Co-CEO and current board member at OpenAI. The email acknowledged Sierra’s client roster and funding history, then offered a strategic partnership framed around enterprise AI scaling and compliance.
Or Kumo.AI: The outreach discussed graph neural networks, the company’s rapid data analysis capabilities, and CEO Vanja Josifovski’s pedigree from Airbnb, Pinterest, and Google. The pitch? Not a sales-y lead generation spam, but a peer-to-peer suggestion for collaborating on enterprise deployment models.
This level of personalization—instantly generated—is the kind of value-add that elite firms like McKinsey or Bain pride themselves on. Only now, it can be done with a single prompt. No teams. No hours. Just intelligence—on demand.
The Consultant’s Dilemma
Traditionally, firms have relied on armies of young professionals to carry out business development: from interns cold-scraping LinkedIn to associates building Excel-based ICP (Ideal Customer Profile) matrices. The game was simple: be the first to spot a high-growth startup that might need help, then swoop in before competitors do.
But Perplexity doesn’t play the game. It changes it.
A consulting firm armed with this AI no longer needs 10 analysts to comb Crunchbase, PitchBook, or SEC filings. It doesn’t need writers to craft cold outreach or marketers to build targeting dashboards. It needs a senior strategist with good prompts—and the wisdom to turn AI-generated insights into client impact.
The implications are profound:
- Business development roles will shrink. Why employ a sales research team if Perplexity can do their work better and faster?
- Consultants must upskill or vanish. If your value lies in synthesizing public data and writing email copy, AI has already beaten you.
- Firms will be judged by how well they wield AI. The winning edge isn’t having better people—it’s having better prompts and faster decision loops.
The Future of Knowledge Work Is Now
Let’s be clear: Perplexity didn’t just build a prospect list. It built a go-to-market strategy, complete with pipeline prioritization, tailored messaging, and regional segmentation. It mimicked what happens in the first six weeks of a consulting engagement—and delivered it in six minutes.
This doesn’t mean firms are obsolete. But the definition of a “firm” is about to change. Less about headcount. More about velocity, leverage, and AI fluency.
The analyst apocalypse isn’t coming. It’s here. And it writes better emails than you.
Coming Soon: Part III – When Perplexity Becomes the Client
If Perplexity can research, write, and pitch—what happens when it starts managing its own projects?
The ever-growing advanced capability of AI demands a swift upskill in the current employees, neglecting which can cost them their jobs. More than a choice, it has now become mandatory for everyone to think like AI, even before getting into the corporate, as a student. The scenario also indirectly pushes young generations to become entrepreneurs to escape the competition with AI.
It’s getting scary to anticipate what the future might unfold. If you want to get prepared with AI, read our article on the 10 best courses on AI and our suggestion of what should you do to be future-ready.
Key Takeaways
- Perplexity Labs can generate in-depth financial reports, spreadsheets, and interactive dashboards with minimal human input.
- AI is becoming a potential replacement for analysts and consultants, performing tasks with superhuman speed and accuracy.
- Perplexity can create potential customer lists, segment leads, and write personalized outreach emails to executives at scale.
- Consulting firms armed with AI need senior strategists with good prompts rather than large teams of analysts.
- The future of knowledge work emphasizes velocity, leverage, and AI fluency over headcount.
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