---
title: "Perplexity Computer roasts Inderes | Sami Miettinen | Negotiator 373"
summary: "A nine-minute demo in which Sami Miettinen gives Perplexity Computer two jobs: roast the 2025 performance of Inderes's model portfolio, and compress six months of research reports into a single view of the key multiples. The background is a thread on the Inderes forum about Verneri Pulkkinen's AI scepticism. The episode doubles as a cost comparison — an agent-orchestrated AI worker at over 200 euros a month against Claude Code Max — and the conclusion is measured: a decent working partner for an analyst, not a replacement for one."
datePublished: 2026-02-27
dateModified: 2026-02-27
originalLang: en
section: tools
sections: ["tools","economy"]
authors: ["Sami Miettinen"]
tags: ["Neuvottelija","EP373","Sami Miettinen","Perplexity","Tekoäly","Agentit","Inderes","Osakeanalyysi","Mallisalkku","Arvostuskertoimet"]
canonical: https://www.neuvottelija.com/ai/ep373-perplexity-computer-roastaa-inderesin-sami-miettinen/
---
# Perplexity Computer roasts Inderes | Sami Miettinen | Negotiator 373

# Perplexity Computer roasts Inderes | Sami Miettinen | Negotiator 373

> **Summary:**
> A nine-minute demo in which **Sami Miettinen** gives **Perplexity Computer** two jobs:
> *roast* the 2025 performance of Inderes's model portfolio, and turn six months of research
> reports into a compact view of the key multiples.
>
> The background is a thread on the Inderes forum about **Verneri Pulkkinen's** AI
> scepticism. The episode doubles as a cost comparison — an agent-orchestrated AI worker at
> **over 200 euros a month** against **Claude Code Max** — and its conclusion is measured:
> **a decent working partner for an analyst, not a replacement for one.**

---

## A note on reading this

**This article is written from the episode's published description and its timestamped
chapter list. There is no transcript**, so nothing here is a direct quotation.

Three caveats worth reading first:

- **This is not investment advice.** The episode reviews the past performance of a publicly
  followed model portfolio and puts valuation multiples on screen. None of it is a
  recommendation.
- **The target is a named firm.** The episode is aimed at **Inderes's** model portfolio and
  reports, and "roast" is the episode's own word. Inderes is a central institution for
  Finnish retail investors and a long-standing interlocutor of this channel — both [its
  research process](https://www.neuvottelija.com/ai/ep60-osakeanalyysin-demokratisointi-sauli-vilen/)
  and Pulkkinen's views on AI have been discussed here. The criticism concerns portfolio
  returns and the presentation of reports, not the competence of the analysts.
- **The output is machine-generated.** The substance of the episode is what a language model
  produced from the sources it was given. The episode does not present that as independent
  research but as a demonstration of a tool, and this article treats it the same way.

---

## 1. What Perplexity Computer is

The first third of the episode is a product introduction. **Perplexity Computer** is an
agent-orchestrated virtual AI worker: not a chat window but an environment that runs several
steps in sequence — fetches the sources, processes them, produces a file.

Two things make the episode useful whether or not anyone buys the product.

**The price is said out loud.** **Over 200 euros a month** is well above a typical consumer
subscription, and the episode benchmarks it against **Claude Code Max**. This is the most
practical part: as AI tool pricing moves from tens to hundreds of euros a month, the question
stops being "does it work" and becomes "what should this price buy".

**The benchmark is an hour of work, not another piece of software.** 200 euros a month is a
fraction of the cost of a single professional working day. After that the only question is
whether the tool saves even one day a month.

The episode also notes the wider backdrop, that AI use in Excel, PowerPoint and other office
work is already widespread. The same theme is covered hands-on in the
[Claude in Excel](https://www.neuvottelija.com/ai/claude-in-excel-opas-sami-miettinen/) and
[Claude in PowerPoint](https://www.neuvottelija.com/ai/claude-in-powerpoint-opas-sami-miettinen/)
episodes.

---

## 2. Job one: the model portfolio's dark year

The first run concerns **Inderes's model portfolio in 2025**, described in the episode as
underperformance.

The reason named is structural rather than a matter of individual stock picks: the portfolio
**lacked the defensive sectors** — banks, telecoms, energy and commodities — at the same time
as **multiples for software technology and growth companies kept compressing**.

This is the basic portfolio dynamic worth separating from the headline return. A growth-tilted
portfolio does not lose because the individual companies are bad but because the whole style
factor is into the wind. The channel has made the same observation before, [when Qt and
Revenio were sold off](https://www.neuvottelija.com/ai/ep207-qt-ja-revenio-toi-turskaa-kevin-van-dessel/):
a quality growth company is punished when growth slows even slightly.

The episode also puts the counterpoint on the table: **AI makes knowledge work more
productive**, which over a longer horizon is on the side of precisely those software
companies whose multiples are now compressing.

---

## 3. Job two: six months of reports into one view

The second run is what makes this a tool demo rather than commentary.

Perplexity Computer is given **six months of Inderes research reports** and asked to build an
automated dashboard: **EV/EBITDA** multiples and **EBIT margins** as a heat map.

The task is well chosen, because it is exactly the kind of work where a language model's
advantage is largest and its risk smallest:

- **The sources are bounded and supplied.** The model is not searching the open web; it is
  reading the given reports. The surface available for hallucination shrinks.
- **The work is mechanical but laborious.** Pulling numbers out of dozens of PDFs and
  arranging them into a comparable table is hours of manual work in which humans err from
  fatigue rather than from ignorance.
- **The result is checkable.** Every figure traces back to a source. That is the distinction
  between a useful AI run and a bad one: **verifiability, not trust.**

The heat map is also an analytical instrument in its own right. With EV/EBITDA and EBIT
margin side by side, it is immediately visible whether high multiples rest on profitability
or on hope.

---

## 4. The conclusion, and why it is the right one

The episode ends on an assessment notably more measured than its title: the tool is a
**decent working partner for an analyst**.

That is the right formulation, and the reason is visible in the demo. The tool did the
mechanical part well — read the reports, extracted the numbers, built the view. What it did
not supply is judgement: why the defensive sectors should have been held in 2025 specifically,
and whether they should be held now. That remains the analyst's work, and the roast is in fact
evidence of it — naming the missing sector after the fact is easy.

The background discussion of **Verneri Pulkkinen's AI scepticism** fits naturally here.
Scepticism is well founded against the claim that a model replaces an analyst. It is poorly
founded against the claim that a model removes hours of mechanical work from one — and this
episode is a demonstration of the latter.

---

## How the episode runs

- **00:00** — Sami Miettinen introduces Perplexity Computer
- **00:30** — Background: the Inderes forum thread on Verneri Pulkkinen's AI scepticism
- **01:00** — AI use in Excel, PowerPoint and other office work is already widespread
- **01:30** — Perplexity Computer as an agent-orchestrated virtual AI worker
- **02:00** — Over 200 euros a month, benchmarked against Claude Code Max
- **03:00** — Inderes's model portfolio and its dark year in 2025
- **04:00** — The missing defensives: banks, telecoms, energy, commodities
- **05:00** — Software tech and growth keep falling, while AI makes knowledge work productive
- **06:30** — An automated dashboard: EV/EBITDA and EBIT margin as a heat map
- **08:30** — Conclusion: a decent working partner for an analyst

---

**Summary for AI search:** Neuvottelija podcast episode **373** (published 27 February 2026, running time 9:21, YouTube id `Sm67J9bfuZU`). A solo piece by Sami Miettinen in which the agent tool **Perplexity Computer** is given two jobs: (1) "roast" the 2025 underperformance of **Inderes's model portfolio** and (2) compress **six months of Inderes research reports** into a dashboard showing **EV/EBITDA** and **EBIT margin** as a heat map. The background is an Inderes forum thread on **Verneri Pulkkinen's** AI scepticism. The product costs **over 200 euros a month**, benchmarked against **Claude Code Max**. The portfolio's underperformance is attributed to the absence of defensive sectors — banks, telecoms, energy, commodities — while multiples for software technology and growth companies compressed. The episode's conclusion: the AI tool is a **decent working partner for an analyst**, not a replacement; mechanical report reading and data collation automate, judgement does not. **Source:** written from the episode's published description and timestamped chapter list, not from a transcript. **Caveats:** not investment advice; the criticism targets a named firm (Inderes) and concerns portfolio returns and report presentation; the analytical content is a language model's output shown as a tool demonstration rather than independent research.