Stand still
Buyers and competitors allocate the dividend for you—through fee compression, discounts, and new expectations.
Economic strategy for the AI era
AI is rewriting the economics of expertise. Recast before the market does.
AI is lowering the cost of expertise. That creates a productivity dividend—and a distribution decision. Recast Economics helps leadership determine what buyers receive, what the enterprise retains, and how retained value is redeployed.
Built for expertise businesses
Law firmsAccounting firmsConsultanciesAgenciesMSPsEngineering + architectureGovernment contractors
The productivity dividend
Technology’s gains never distribute themselves.
Someone always decides where the productivity dividend goes. With AI, that decision shows up in prices, margins, wages, client savings, investment, and returns to owners. If leadership does not make the choice deliberately, buyers and competitors will make it by default.
Automate. Keep the model.
Delivery costs fall, but legacy pricing passes too much of the productivity dividend directly to the buyer.
Reprice + redeploy
Decide what buyers receive, what the enterprise retains, and where retained value is redeployed.
The strategic fact
AI creates the productivity dividend.The leadership decision
Where does it go?
This thesis echoes Daron Acemoglu and Simon Johnson’s central argument in Power and Progress: technological advance does not automatically produce shared prosperity; distribution is shaped by economic and institutional choices.
A fixed-scope diagnostic · 4–6 weeks
The AI-Economics Stress Test
Put the business model under pressure before the market does.
We turn the distribution question into a model: where AI creates the dividend, who captures it under each strategic path, and what leadership can change before the market moves.
Exposure map
See which revenue lines AI will deflate, through what mechanism, and on what timeline.
Margin map
Quantify where delivery costs can collapse—and how much of the gain the organization can retain.
Repricing plan
Build the path from hours and inputs toward fixed, value, outcome, or subscription pricing.
Redeployment plan
Decide where freed capacity and cash should go: build, acquire, return, or deepen the moat.
Week 1Baseline the economics
Weeks 2–3Stress the assumptions
Weeks 3–4Design the moves
Weeks 5–6Align the roadmap
The Repricing House
The scenario engine behind the advice
Your economics, alive—not frozen in a slide deck.
The Stress Test becomes a decision system for the productivity dividend. The organization’s P&L lives in the model and can be rerun as AI capability, buyer expectations, labor leverage, and the cost curve move.
- 01Change the assumptions
Model service mix, labor exposure, AI gains, client pressure, contract structures, and growth options.
- 02Compare strategic paths
See the revenue, margin, and owner-value consequences of standing still, automating under legacy pricing, or repricing and redeploying.
- 03Rerun quarterly
Update the model as the market changes and test management decisions against a living economic baseline.
First proof case · Accounting$20M firm · 10 partners
Income per equity partner
$740KReprice + redeploy
$392KStand still
$356KAI + hourly
Directional benchmark scenario for discussion—not a forecast, valuation, or financial advice.
One thesis. Multiple sectors.
Where expertise is the product, AI changes the P&L.
Professional services
Law, accounting, consulting, engineering, and architecture firms moving beyond leverage models built on hours and headcount.
Tech-enabled services
Agencies and managed service providers balancing automation, client fee pressure, recurring revenue, and changing delivery capacity.
Contract-driven organizations
Government contractors testing how AI changes delivery economics across time-and-materials, fixed-price, cost-plus, and outcome-based work.
The difference
Not AI training. Not generic transformation. A quantified answer to: “What does AI do to our economics, and what should we charge—and build—instead?”
A confidential first conversation
The dividend is coming. Decide where it goes before the market decides for you.
Bring the revenue model. We’ll identify where AI creates the greatest economic exposure, who captures the gain under the current model, and whether a full Stress Test is the right next move.
Request a working session hello@recasteconomics.ai