---
id: "lib-2026-10-05-how-ai-killed-outsourcing"
type: "library"
title: "How AI killed outsourcing"
title_original: "Как AI убил аутсорс"
lang: "RU"
org: "Podlodka (#497)"
source_type: "Podcast"
date: "2026-10-05"
week: "2026-W42"
url: "https://nosov.ai/library/lib-2026-10-05-how-ai-killed-outsourcing/"
original_url: "https://www.youtube.com/watch?v=LgWaWJ2Xv4I"
tier: "B"
tier_name: "Useful, limited"
tier_reason: "Podlodka podcast with the owners of a Russian mobile studio and the US-focused consultancy Evil Martians giving first-hand market signals; concrete and candid, but anecdotal and partly based on the guests' own unverified readings."
summary_basis: "transcript"
original_minutes: "116"
tags: ["future of work", "outsourcing market", "pricing", "junior hiring"]
---

# How AI killed outsourcing

Original title: Как AI убил аутсорс

Tier B (Useful, limited): Podlodka podcast with the owners of a Russian mobile studio and the US-focused consultancy Evil Martians giving first-hand market signals; concrete and candid, but anecdotal and partly based on the guests' own unverified readings.

Summary based on the full transcript.

## In short

Podlodka Podcast episode 497 (5 October 2026, Russian, 116 minutes). Two owners of development-services firms describe their markets after AI coding tools. Denis Germanenko (CleverPumpkin, Russian mobile studio since 2011) covers Russia: shelved tenders, collapsing rates, no junior hiring. Irina Nazarova (Evil Martians, US startups) covers the US: teams shrinking from 5-7 people to 1-2, founders shipping huge AI-written codebases, and buyers asking for headless products their own agents can use. Both reject the large productivity claims.

## Key numbers

- ~5%: profitability of Russian custom development in 2025, per the guest's reading of public filings, against 15-20% seen as healthy
- tens of times: fall in inbound leads reported by the Russian studio
- 10 to 2-3: people now needed on a project that took a team of ten five years ago (Evil Martians)
- at most 2x: Irina Nazarova's estimate of the real individual productivity gain from AI; 10x claims called a bubble
- 50-70%: margin the Russian guest thinks possible when selling outcomes instead of hours

## What it reports

- Russia: "phantom tenders" run to the end then cancelled for lack of budget; clients expect much lower prices because "AI makes development cheaper" and question hour-based estimates.
- Requests shift from "build an app" to "raise revenue or cut cost", with payment tied to outcomes.
- Inbound leads down "tens of times"; custom-development profitability about 5% in 2025 while costs (VAT, reduced IT tax benefits, salaries) rose.
- CleverPumpkin shrank production to small teams for two or three long-standing clients; resistance to AI came most from the most experienced staff.
- Studios no longer hire juniors because agents do their tasks; Germanenko expects a shortage of solid mid-level engineers in 2-3 years. "Phantom vacancies" keep recruiters busy.
- Neither guest has seen a studio win many clients through AI productivity; fifteen parallel agent sessions for a week burnt tokens without shipping features.
- US: founders who never coded report 80 PRs a day and arrive with projects of 100k to 1M lines "90% done". Evil Martians separates disposable code and gives clients harnesses (design system, linters, hooks) so their agents stop degrading it.
- A project that needed ten people five years ago now needs two or three, but Nazarova puts the individual gain at "at most 2x".

## How they got it

Interview with two practitioners. Transcript from cleaned YouTube auto-captions, with some names garbled. The 5% margin is the guest's figure from public company data, not shown on air.

## Limits

- Two firms, two markets, opinions and anecdotes; no data shown on air.
- The Russian picture mixes AI effects with macroeconomic and tax changes, which the guests themselves cite.
- Recorded before the grading window (ext item); auto-caption errors are possible in quotes.

## Why it matters for companies

For buyers of outsourced development, the bargaining power has shifted: suppliers are open to outcome-based pricing and smaller embedded teams. The warnings are useful too: AI-generated codebases arrive large and fragile, and the fix is harnesses and guardrails for the client's agents, not rewrites. The end of junior hiring in services firms will feed a mid-level shortage that every employer will feel in a few years. A grounded estimate of about 2x per person is a better planning number than vendor claims of 10x.

## Key passages in translation

> маржинальность компании на заказной разработке около 5%. То есть рентабельность 5%.

The margin of companies in custom development is about 5%. That is, profitability of 5%.

> Мы не можем ничему научить самих людей, но мы можем научить их агентов чему-то.

We cannot teach the people themselves anything, but we can teach their agents something.

> Не знаю, максимум в два. Я я бы сказала.

I don't know, at most two times. I'd say.

Original: https://www.youtube.com/watch?v=LgWaWJ2Xv4I