A FIELD PROFILE
A Door That May Not Open
There is a kind of loss haunting workplaces around the globe today. It is silent. No layoff posted. No notices sent. No last day announced. This is the loss that AI is silently producing around the world. What happens to a person when work disappears before it begins?
A graduate in Lagos finished her degree and anticipated heading straight into the workforce shortly after graduating. She was now a software developer. She practiced her English on calls. The outsourcing sector was the way in, and it had taken her cousin into the middle class, and the recruiters used to come by every year. This year the intake was smaller. Next year there may not be one. Nobody informed her in school that her pathway to the middle class may be closing. All of a sudden the call backs simply stopped coming.
A father in Ohio is watching his daughter apply for entry-level positions she is qualified for, but she rarely if ever lands an interview. She did everything that was asked of her. The degree, the internship, the portfolio. Her father is not sure what to say or how to respond. The listings are still posted. The company is still hiring, but does not seem to be interested in entry level applicants.
The same thing is happening, six thousand miles apart.
Both portraits are composites, drawn from the research described below rather than from interviews with specific individuals.
What is happening?
AI may not be impacting mid-level jobs right now. But it is silently reducing entry level jobs at an increasing rate.
In the United States, employment among workers aged twenty-two to twenty-five in the occupations most exposed to AI has fallen by roughly thirteen percent relative to their less exposed peers. The decline came through hiring contraction rather than wage adjustment. Entry-level hiring is slowly drying up.
Outside of the West, the same force is at work but through a different door. Outsourced services such as contact centers, back offices, junior development, and data work were meant to serve buyers in London and Dallas and Frankfurt. When the buyer automates, the work disappears at the source, regardless of what technology the worker has access to. The exposure to AI displacement is imported. After ChatGPT's launch, outsourced service positions fell by an average of thirty-nine percent, and the total value of outsourcing contracts fell by forty-eight percent.
The International Labour Organization has a name for what this does over time: a white-collar bypass. The office jobs that once carried people into the middle class, and carried women into the workforce, may never fully emerge in developing economies at all.
In the West, we call work in administration, call centers, and customer service potential pathways to the middle class. Research in northern India found that when recruiters of call centers and customer service began visiting villages, families started keeping their daughters in school, closing most of the gender enrollment gap, and young women married later. These visible prospects of pathways to a better economic life changed what an entire community believed was possible.
Which tells you what may be lost when such prospects disappear.
Why does no one see it?
Maybe because there is no flashy event.
A factory closing is news. A massive layoff at a big company is news. But entry level jobs that silently go away summons no announcements, no record, and no moment at which anyone can say: this is what happened to me.
So a person might absorb this as an indictment on their value to the workplace. They may conclude that they were not good enough, that their application was lacking, that they should have done better. They may feel worthless, or that their potential contribution to an organization was not seen as necessary.
Who is responsible?
In March 2026 the International Labour Organization and the World Bank published a joint analysis warning that AI may close the white-collar pathway in developing countries before the doors fully open. This is a route by which women in particular have historically entered the workforce.
This problem is being addressed at a policy level. But the experience of each individual human that has a door of opportunity slammed in their face usually flies under the radar of policy and AI governance discussions.
Is there another way to look at this problem?
Attention Inc. begins where the policy analysis may end: with the individual human.
The Mirror asks what you already think before you ask an AI and whether you are handing over to AI too much of who you are.
The Compass is for the person whose pathway has become uncertain similar to the ways described in the two portraits above. It helps you identify your expertise and discover ways in which it might transfer as work changes with AI.
The Window gives clarity concerning the right AI for the right kind of work.
Each application is available in a Universal pathway and a Christian-integrated pathway.
The right kind of attention
A person who cannot identify or articulate what is happening to them may not be able to act. A person who can still possesses the agency to do something about their situation.
That is the objective of our work. To make sure that humans and human institutions stay wise, whole, and mission-ready in the Age of AI.
Sources
- Gmyrek, P., Viollaz, M., Winkler, H. 2026. Disruption without Dividend?: How the Digital Divide and Task Differences Split GenAI's Global Impact, ILO Working Paper 166 (Geneva, ILO).
- Brynjolfsson, E., Chandar, B., Chen, R. 2025. Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence, Stanford Digital Economy Lab.
- Betai, N., Chen, M. 2025. Automation without Borders: The Impacts of Generative AI on International Service Outsourcing.
- Jensen, R. 2012. "Do Labor Market Opportunities Affect Young Women's Education and Family Decisions? Experimental Evidence from India," Quarterly Journal of Economics 127 (2).