YakData
YakData Field Note 001 · AI Economics

Nobody has written down what the delay costs.

Your AI project has been running for months. Everyone knows it is late. No one has put a dollar figure on it, because the number lives in four different budgets. Here it is in one.

AI EconomicsDelivery RiskDecision Ownership
Use · no email needed

Your project

Burning right now

$33,333

every month, whether it ships or not

Annual run rate$400,000
Spent so far$300,000
Still to spend on your own estimate$200,000
Total cost at ship$500,000

If it slips one more quarter, add $100,000.

Watch · no email needed

The session

How a $13K-per-week engineer beats a $400K team.

Not because one person outworks four. Because the team is executing while the decisions are still open, and a decision nobody makes costs more than any of them.

Episode 001 livestream

If the video does not load here, open Episode 001 from the Episodes page.

01

Headcount is not the constraint

Adding people to a project with open decisions increases the number of assumptions in flight. It does not increase throughput.

02

The cost is duration, not rate

One person at a high weekly rate for six weeks is cheap against a team at a low weekly rate for eighteen months.

03

The output is a working system

You are not buying extra headcount. You are buying one accountable builder who closes the critical decisions, gets one complete version working end to end, and hands it to your team to own.

What the calculator can and cannot tell you.

Production implication

The calculator exposes delivery assumptions. It does not validate scope equivalence, quality, security, model behavior, rework, human review, or operating burden. Those have to be pressure-tested before a cost comparison is decision-grade.

A consequential AI decision in front of you?

Put the system question under scrutiny before the cost of being wrong compounds.

If the issue involves architecture, evaluation, economics, context, production readiness, operational risk, or decision ownership, YakData can pressure-test the system and determine what should happen next.

Discuss Your AI System Start With a Private Review Private Analysis Review: $2,500. Private Engagements: from $38,000.