Brainworks Research
Research

AI Productivity: The 143× Multiplier

How AI-Native Operations Reshape the Economics of Knowledge Work

6
Chapters
12
Exhibits
48
Pages
15+
Sources

Executive Summary

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Using Brainworks' own operations as a case study, this report quantifies the productivity multiplier of AI-native knowledge work. A 2-person team augmented by AI agents produced output equivalent to a 30-person traditional consulting firm — a 143× productivity advantage at an effective labor cost of $0.15/hour. The analysis documents specific workflows: a comprehensive healthcare industry report that would require 12 analysts working 16 weeks was produced in 36 hours. A Monte Carlo crisis simulation modeling 40+ commodities that would take a quant team 6 months was deployed in 3 days. The report examines the economic implications: what happens when the fundamental cost structure of knowledge work collapses by 99%? We model the impact on consulting ($250B market), financial advisory ($8B political risk market), and professional services broadly.

Key Exhibits

Exhibit: 143× Productivity Comparison

Exhibit: 143× Productivity Comparison

Side-by-side: traditional 30-person team vs AI-native 2-person operation

Exhibit: Cost Structure Disruption

Exhibit: Cost Structure Disruption

Traditional $2M+ annual analyst salaries vs $3-5K/month AI compute

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