Moral Hazard, Hidden Effort
The Ghost Coworker
The Ghost Coworker is a Moral Hazard and Hidden Effort scenario. The core lesson: When output looks strong, effort becomes invisible. If results are what matter, does the method. Your remote teammate's work is consistently high quality and always on time. Then you discover that most of their output is AI-generated, they write the prompts, review the outputs, and do minimal additional work. DecisionPlay maps the players, payoffs, and equilibrium dynamics that shape how this situation typically resolves.
The situation
Your remote teammate's work is consistently high quality and always on time. Then you discover that most of their output is AI-generated, they write the prompts, review the outputs, and do minimal additional work. Productivity metrics look excellent. Your manager doesn't know.
Background
The principal-agent problem in remote work is that effort is unobservable by design. If employers genuinely care about output quality and delivery, AI-assisted work that meets standards is exactly what they asked for. If they care about effort (which compensation structures often implicitly assume), it looks like fraud. The deeper question isn't about your colleague, it's about what 'doing the job' means when the tools change faster than the job descriptions.
What this reveals
The hidden effort problem
Employment has always been a contract over effort, you give your time and attention, they give you money. AI breaks the time-to-output correlation that made that contract legible. If the same output now requires 10% of the prior effort, the employer is nominally getting the same deliverable but not the same input cost. Whether that's a windfall for the employee or a restructuring of what the role is worth depends on whether you measure employment by output or by effort. Most organizations say they measure output. Most compensation structures assume effort. The gap between those two is where this entire category of confusion lives.
How to counter it: Get explicit, on both sides. If you're using AI tools significantly, disclose it proactively and frame it as efficiency, not fraud. If you're a manager who cares about effort as well as output, establish that standard clearly before it becomes a retroactive accusation. The teams that will navigate this well are the ones that have the conversation before it's triggered by a discovery.
A question to sit with
Is work about effort, originality, or results, and does your answer change depending on whether you're the one being evaluated?
Frequently asked questions
- What game theory concept does The Ghost Coworker illustrate?
- The Ghost Coworker illustrates Moral Hazard, Hidden Effort. When output looks strong, effort becomes invisible. If results are what matter, does the method.
- What is the situation in The Ghost Coworker?
- Your remote teammate's work is consistently high quality and always on time. Then you discover that most of their output is AI-generated, they write the prompts, review the outputs, and do minimal additional work. Productivity metrics look excellent.
- What does The Ghost Coworker reveal about how people decide?
- The hidden effort problem. Employment has always been a contract over effort, you give your time and attention, they give you money. AI breaks the time-to-output correlation that made that contract legible. If the same output now requires 10% of the prior effort, the employer is nominally getting the same deliverable but not the same input cost. Whether that's a windfall for the employee or a restructuring of what the role is worth depends on whether you measure employment by output or by effort. Most organizations say they measure output. Most compensation structures assume effort. The gap between those two is where this entire category of confusion lives.
- How do you avoid the trap in The Ghost Coworker?
- Get explicit, on both sides. If you're using AI tools significantly, disclose it proactively and frame it as efficiency, not fraud. If you're a manager who cares about effort as well as output, establish that standard clearly before it becomes a retroactive accusation. The teams that will navigate this well are the ones that have the conversation before it's triggered by a discovery.
- What is the research behind The Ghost Coworker?
- The principal-agent problem in remote work is that effort is unobservable by design. If employers genuinely care about output quality and delivery, AI-assisted work that meets standards is exactly what they asked for. If they care about effort (which compensation structures often implicitly assume), it looks like fraud.
- How long does The Ghost Coworker take to play?
- About 7 min, at core difficulty, across 4 decision points. It runs in your browser with no account and no sign-in.
Keep exploring
More Future Stakes scenarios, or browse all scenarios. New to this? Start with how DecisionPlay works or the game theory glossary.
Topics: futures, AI, remote-work, moral-hazard, automation, season-3