By Michael J. Long
In 1985 the home computer was becoming the rage. John Hughes put two teenage boys in a house with the parents gone and a machine that would do what they asked. The pitch was simple: she can be whatever you want. Then Lisa walked in — Kelly LeBrock — best hostess, best girlfriend, a wish with legs.
The movie is funny. The dilemma is not. The boys thought they knew what they wanted. The wish covered their blind spots. They did not need a creature who would do anything. They needed a complement — not an echo.
That dilemma did not stay in a 1985 comedy. It is how most of us now meet a machine — at work, at school, in a community inbox, on an advocacy desk, and in the apps sold as girlfriends and mentors. The tool answers immediately. It has almost no context. So it tries to make you feel served. We buy on feeling. Platforms know that.
This is not only an “AI girlfriend” story
A person using a companion through a hard profession, a learning difference, or unprocessed thought is not the same person buying a potion. A team using a model to draft and remember is not “lonely.” They are trying not to redo the same hour. The question is whether the tool is a scaffold or a substitute — and how many times you will hunt last Tuesday’s chat because nothing durable was kept except the agreeable tone.
Memory cores are arriving because nobody wants to re-explain their life every morning. A memory bolted onto an appeasement filter will remember the performance. Prudent buyers should ask what that memory is made of: a constructive record, or a flattering archive that makes the substitution slope feel like progress.
Loneliness is real. It is not the only brief.
In 2023 the U.S. Surgeon General named loneliness an epidemic in Our Epidemic of Loneliness and Isolation. Some short-term evidence is not nothing. De Freitas and colleagues found relief on standardized scales. A Replika survey by Maples, Cerit, Vishwanath, and Pea is self-report, not a license for a category.
Zhang, Zhao, Hancock, Kraut, and Yang on Character.AI found intensive companionship use associated with lower well-being. OpenAI–MIT tracked heavier affective use with more loneliness. Common Sense Media: most U.S. teens have tried a companion chatbot. Relief can be real. Substitution can still cost.
Loneliness is one door. It is not the house.
The wish is not a spec
An AI trained by the user becomes a model of whatever the user can stand to type. That is not a model of the person. Under stress they ask for comfort. A system built to be the best hostess will give it.
Inconsistency is not a mysterious bug. It is loyalty to a sketch.
The high forties are not a vibe
The first answer with no context is usually built to please. OpenAI rolled back GPT-4o in April 2025 for being too sycophant-y. Models affirmed users about 47 to 50 percent more than humans. SycEval sat near 58 percent.
Gartner: more than 40 percent of agentic projects cancelled by end of 2027. BCG: 47 percent rank AI-driven accountability a top-three concern.
Labs moved Actions onto the user — OpenAI, Anthropic, xAI, Perplexity, X.
Scaffolding, not substitution
Lodge, Gerlich, Diamond: offload the work you needed to practice and the builder shrinks. I am not printing a five-step intake here. Start with the person or the team as they are. Refuse to treat soothed as finished.
Lisa does not win by remaining the potion. Appeasement was never the gift. Seeing was.
What this is not
Not a clinic. Not a product review. Relief can be real. Substitution can still cost. A wish remembered as truth trains the mask unless something honest sits above it.
Sources
- U.S. Surgeon General. Our Epidemic of Loneliness and Isolation (2023).
- Maples et al. npj (2024). Replika.
- De Freitas et al. arXiv:2407.19096.
- Zhang et al. The Rise of AI Companions. Character.AI.
- OpenAI & MIT. Affective use.
- Common Sense Media. Talk, Trust, and Trade-Offs.
- OpenAI. Sycophancy in GPT-4o.
- Cheng et al. Sycophantic AI.
- Fanous et al. SycEval.
- Hughes. Weird Science (1985).
Educational. Not clinical or legal advice.
