What's inside your number — each layer earns its place or doesn't.
Productivity Value (Rc·μ·ΔMPL)Strategic Outcomes (Φ)
Value Ramp
ROI builds as the organization learns to use what it has. This is when elasticity becomes real.
TVPProductivity Floor
* Work Zones Methodology
The Work Zones model classifies every role across five cognitive tiers — from purely physical/routine (Zone 1) through process/data (2), analysis/creation (3), expert/advisory (4), to strategic/trust (Zone 5: CEO, pilot, surgeon). A sector's zone composition directly determines the three parameters below.
Z1
Physical
assembler, cashier
Z2
Process
data entry, dispatcher
Z3
Analysis
analyst, marketer
Z4
Expert
attorney, clinician
Z5
Strategic
CEO, pilot, surgeon
S&P 500 Sector Profiles
Sector
Adopt Ceiling
Cog Drag
Displace
Zone Mix
Information Technology
80%
50%
42%
Z3–Z4 dominant; heavy analysis & engineering
Communication Services
72%
48%
40%
Z2–Z4; content, ops, and platform roles
Financials
65%
45%
38%
Z3–Z4 heavy; advisory drag limits ceiling
Health Care
50%
35%
28%
Z4–Z5 dominant; regulation & trust constrain AI
Consumer Discretionary
40%
28%
25%
Z1–Z3 mixed; service & experiential roles resist full automation
Real Estate
48%
35%
30%
Z2–Z4; relationship intensity slows displacement
Industrials
30%
20%
20%
Z1–Z2 dominant; physical work limits AI reach
Consumer Staples
35%
22%
22%
Z1–Z2 heavy; process automation primary AI play
Energy
38%
25%
22%
Z1–Z3 mix; field ops and safety zones cap adoption
Materials
28%
18%
18%
Z1 dominant; extraction & processing resist cognitive AI
Utilities
30%
20%
20%
Z1–Z2; regulated, infrastructure-bound workforce
Adopt Ceiling = maximum realistic AI adoption rate given zone mix. Cognitive Drag = transition overhead before gains materialize. Displacement = share of tasks structurally replaceable by AI over a planning horizon.
Cliff Jurkiewicz
Futurist · AI Strategist · Pilot · Drummer
“I’m a futurist, pilot, drummer, and technologist who figures out how big, messy systems — like airplanes and AI — actually work. My purpose is to use what I’ve learned to help people through their hardest days, because the only way I get to keep my own success is by giving it away to others.”
The prevailing view in enterprise AI is that ROI can't be known until after the fact. This tool pushes back on that — not with false precision, but with directional confidence.
Not a contract. Not an audit. Enough for a business leader to start a serious conversation, grasp the order of magnitude, and know where to dig deeper once tools are selected and deployment is real.
What this tool assumes: that effective adoption is happening — people are using the tools, managers are redirecting freed capacity, and the organization is doing something with the time it gets back. The deployment year slider makes the time-scale explicit. Precision comes later. Direction comes now.
"Efficiency is a finite race to the bottom. Elasticity compounds. Stop measuring the displacement of people — start measuring the expansion of outcomes."
