Changing the Math Between Wages and the Cost of Living
Hawaiʻi has spent decades trying to grow its economy.
Most of those efforts run into the same wall.
We are far from global markets. Land is scarce. Everything from energy to labor is expensive.
These realities limit what kinds of industries can actually drive Hawaiʻi’s future economy — and they don’t change no matter how hard kamaʻāina work.
If Hawaiʻi wants a different future, it has to choose industries that work within its physical limits.
Any serious plan for Hawaiʻi’s future economy has to start with the question:
What kinds of industries can scale incomes without needing more land, cheaper energy, or physical proximity to markets?
Hawaiʻi's Physical Limits
Hawaiʻi’s distance from resources and markets makes many industries unworkable.
Shipping in raw materials, paying high labor costs, and shipping finished goods back out makes competing at scale impossible.
Land is also limited and expensive. Industries that require large amounts of space, energy, or physical infrastructure become financial non-starters.
The Core Problem
Hawaiʻi’s cost of living keeps rising. Wages cannot keep up.
The two lines on the graph — cost of living and wages — are moving in different directions.
In Hawaiʻi, the cost of living has risen several times faster than wages — pushing families further behind each year.
This is the core problem. Even when kamaʻāina work harder or get more education, income growth cannot keep pace with rising costs.
These two lines continue to pull apart. The gap between them is unaffordability — and it widens every year.
If it feels impossible now, imagine what it will look like when your keiki try to buy a home.
Our Current Industries Can Support — But Cannot Scale
Our current industries can sustain the economy we have, but they cannot scale to the economy we need.
Hawaiʻi’s pillar industries bring in a lot of money, but they cannot expand at scale.
Take tourism. It brings in $20 billion per year. To double the income from tourism, Hawaiʻi would have to either double the number of visitors or charge every visitor twice as much.
Both are non-starters.
The same problem exists across our other pillar industries. They generate significant revenue, but they cannot scale large enough to meaningfully raise incomes across the entire economy.
Hawaiʻi does have smaller industries that can scale — but they are too small to move the needle.
Both types of industries are mathematical dead ends.
The result is an economy that maintains the status quo without changing the math.
We don’t just need better jobs.
We need industries that bend the slope.
Why AI Fits Hawaiʻi's Constraints
If Hawaiʻi wants to meaningfully grow incomes, the industry has to fit our reality.
- It must grow without needing large amounts of land, energy, factories, or shipping.
- It must bring new money into the economy without sending the profits back out.
- It must drive income to the people doing the work, not just to asset owners or outside firms.
Most industries don’t meet these conditions.
The artificial intelligence industry does.
AI is not confined to technology firms. It can be integrated into nearly any field.
The Five Layers of the AI Industry
The AI industry has five main parts:
- Energy — the electricity to power the hardware
- Infrastructure — data centers and global network connections
- Chips — the microprocessors that run AI systems
- Models — the neural network software itself
- Applications — the software that connects AI to people and businesses
Each part has different requirements.
The last two fit Hawaiʻi’s limits.
Why the First Three Donʻt Work in Hawaiʻi
Energy
Large AI data centers use massive amounts of power. Hawaiʻi cannot produce energy cheaply or in large enough quantities, much less deliver it at the scale required.
Infrastructure
Data centers require land, materials, labor, and energy. Hawaiʻi’s land constraints and high construction costs make this layer unworkable at scale.
Chips
Computer chips are made in highly specialized factories with long supply chains. Hawaiʻi will never be a competitive manufacturing hub.
The good news is Hawaiʻi does not need to compete in these layers.
Where AI Breaks the Pattern
AI model and application design works under different rules.
- Creators do not need to be near data centers.
- They do not need sprawling factories or large buildings.
- They do not need more land or power than a normal office.
They mainly require skill, computers, and an internet connection.
That changes what is possible.
Why Models and Apps Scale
AI models and applications scale by serving more users, not by using more land.
Once a model or application is built, the cost of serving the next user is very low. Value can grow rapidly without new buildings, factories, or shipping.
Because the value comes from skill and knowledge, not physical expansion, higher revenue can translate into higher wages for the people doing the work — engineers, designers, analysts, and technical operators working directly on the product.
These are the front-line workers of the AI economy: people whose labor creates the product or service itself, not people whose work depends on bringing in more visitors, moving more goods, or expanding physical infrastructure.
This allows local incomes to rise without increasing Hawaiʻi’s physical footprint or requiring resources we don’t have.
The Scale of Capitol Flowing Into AI
The amount of money flowing into the AI industry is unlike anything seen before.
The largest technology companies in the world are spending tens of billions of dollars each year on AI systems, infrastructure, and talent. Governments are doing the same, treating AI as core economic and national infrastructure.
This is real operating money being spent to build systems that are already being deployed.
AI investment is different from past tech booms because it cuts across nearly every industry — healthcare, finance, logistics, defense, education, and energy. Demand does not depend on a single market or trend.
As AI systems spread, value concentrates in the layers where models are built, adapted, and applied. That is where wages are highest and where geography matters least.
For places like Hawaiʻi, the question is not whether money will flow into AI.
The question is whether Hawaiʻi positions its people to capture any of it — or whether that value is built elsewhere and imported back at a higher cost.
What This Means for Hawaiʻi
If Hawaiʻi wants to move beyond the economy we have today, it must focus on industries that scale through skill, not physical resources, and are not limited by distance.
AI models and applications meet that requirement.
They are not a magic fix — they are a realistic fit.
Hawaiʻi’s problem is not a lack of jobs. It is a lack of jobs that can raise wages faster than the cost of living.
Most high-employment industries in Hawaiʻi cap wages because growth depends on physical limits — land, visitors, throughput, and infrastructure. Once those limits are reached, income flattens.
AI works differently.
Modeling and application work concentrates value in skill-based roles that scale globally. Because the work is not tied to place, higher revenue can translate into higher wages.
AI products also do not exist in isolation. They require designers, analysts, product managers, technical operators, and trainers and educators.
As local expertise grows, these roles expand outward.
The goal is not to replace Hawaiʻi’s existing workforce.
It is to add higher-wage, scalable work alongside it.
How Hawaiʻi Can Lead
The main constraint is no longer land, energy, or distance.
It is knowledge and training.
AI models and applications are created through technical skill. Places that develop that skill capture the work, the wages, and the long-term economic value.
AI work does not require abandoning your field of interest. It allows technical skill to be leveraged within education, business, farming, government, entertainment, construction, tourism, and conservation.
By helping kamaʻāina — especially keiki — gain strong, practical skills in AI models and applications, Hawaiʻi can create high-wage jobs, income, and value at home.
Conclusion
Hawaiʻi needs a way to turn two diverging economic lines into converging ones.
The limiting factor is not whether AI creates enough jobs.
It is whether Hawaiʻi develops enough people with the skills to fill them.
Without local education and training, AI value flows out of Hawaiʻi.
With it, income stays local.
In the AI era, economic self-determination comes from technical competence.
By building deep local expertise in the systems shaping the future, we can create a Hawaiʻi where kamaʻāina can stay, thrive, and pass on place and culture.