Why we are asking

Two surveys. One goes to the people who run New Jersey companies and asks what their AI investment actually changed. The other goes to the people who work in those companies and asks about the towns they live in.

They look like separate studies. They are the same study.

A company is not a closed system. Its most important input is people, and those people arrive every morning from somewhere.

The system does not stop at the property line

A company is usually measured as though it were a closed system — inputs, process, outputs, margin. It is not closed. Its most important input is people, and those people arrive every morning from somewhere.

The employee who could not find childcare is the same employee handling a customer at eleven o'clock. The town without a youth programme is the town a company will recruit from in a decade. The commute, the school, the clinic, the field — none of these appear on a balance sheet and all of them are in the product.

Measuring the company without measuring the community is not a moral oversight. It is a measurement error. And it produces a specific kind of decision: the one that improves a number while quietly depleting the system that number depends on.

What each of us cannot see

Leaders can see their own operations in extraordinary detail and cannot see what their workforce actually needs. Most have never asked — which is itself one of the things this survey measures.

Employees can see their communities with real precision and have almost no visibility into why the decisions above them get made, or what they were meant to achieve.

The state can see aggregate economic activity and struggles to see either the texture of employer demand or the lived condition of the workforce that meets it.

Each holds a piece the others need. There is no mechanism that puts the pieces beside each other. That is what this is.

Why now

New Jersey has spent two years investing in artificial intelligence, and almost nobody can say plainly what it produced. The question is not whether the technology works — it does, at the things it was built for. The question is which of those things showed up where it mattered, and whether anyone was measuring the part that did.

That is a question about systems, not software. A tool applied to one node of a system will improve that node. Whether it improves the system depends on something nobody instrumented: whether the people inside it understood what changed, and why.

What we think can be learned

That a system improves when its parts can see one another.

Employers learn what their people need — which is a retention and performance input they currently guess at. Employees learn that someone asked, which is not nothing. The state learns employer demand and workforce readiness from the same set of companies, which as far as we can tell nobody has assembled before.

And all three see the distance between what leadership believes it communicated and what the workforce experienced. That distance is where most organisational failure actually lives, and it is almost never measured because measuring it requires asking two populations the same question at the same time.

None of this works if only one side answers.

Who we are, and what we get

First Principle Global Management is funding and conducting this research. We build measurement instruments for language — how organisations communicate, and whether what they meant to say is what arrived.

We are doing this because the answer interests us and because we think it should exist. We also expect it to earn us the right to a conversation with some of the companies who take part. We would rather say that plainly than have you wonder.

The data belongs to the state as much as to us. Individual responses are never published, never attributed, and never shown to an employer. Findings are released in aggregate, publicly, to everyone who contributed.

What we do with your details

We ask for your name and email at the end of both surveys so we can send you the findings. Your responses are confidential, not anonymous: we know who answered, and we protect it. Employers, partners and the state receive aggregate results only. The full detail is on our privacy page.