Artificial intelligence isn’t just a technical challenge. It’s a relationship challenge.
Every time you give a task to AI, whether it’s approving a loan or driving a car, you’re shaping the relationship between humans and AI. These relationships aren’t always static. AI that begins as a simple tool can morph into something far more complicated: a challenger, a companion, a leader, a teammate, or some combination thereof.
Movies have long been a testing ground for imagining how these relationships might evolve. From 1980s sci-fi films to today’s blockbusters, filmmakers have wrestled with questions about what happens when humans rely on intelligent machines. These movies aren’t just entertainment; they’re thought experiments that help viewers anticipate challenges that will arise as AI becomes more integrated in daily life.
Drawing on our research into films that depict AI in the workplace, we highlight four portrayals of human-AI relationships—and the lessons they hold for building safer, healthier ones.
1. Blade Runner (1982)
In Blade Runner, humanlike androids called “replicants” are supposed to be perfect workers: strong, efficient, and obedient. They were designed with a built-in, four-year lifespan, a safeguard intended to prevent them from developing emotions or independence.
The Tyrell Corp., a powerful company that created the replicants and profits from sending them to work on distant colonies, sees them as nothing more than obedient workers.
But then they start to think for themselves. They feel, they form bonds with one another and sometimes with humans, and they start to wonder why their lives should end after only four years. What begins as a story of humans firmly in control turns into a struggle over power, trust, and survival. By the end of the movie, the line between human and machine is blurred, leaving viewers with a difficult question: If androids can love, suffer, and fear, should humans see and treat them more like humans and less like machines?
Blade Runner is a reminder that AI can’t simply be considered through a lens of efficiency or productivity. Fairness matters, too.
In the film, replicants respond to attacks on their perceived humanity with violence. In real life, there’s backlash when AI butts up against values important to humans, such as the ability to earn a living, transparency, and justice. You can see this in the way AI threatens to replace jobs, make biased hiring decisions, or misidentify people via facial recognition technology.
2. Moon (2009)
Moon offers a quieter, more intimate portrayal of human-AI relationships. The movie follows Sam Bell, a worker nearing the end of a three-year contract on a lunar mining base, whose only companion is GERTY, the station’s AI assistant.
At first, GERTY appears to be just another corporate machine. But over the course of the film, it gradually shows empathy and loyalty, especially after Sam learns he is one of many clones, each made to think they are working alone for three years on the lunar base. Unlike the cold exploitation of AI that takes place in Blade Runner, the AI in Moon functions as a friend who cultivates trust and affection.
The lesson is striking. Trust between humans and AI doesn’t just happen on its own. It comes from careful design and continual training. You can already see hints of this in therapy bots that listen to users without judgment.
That trust needs to involve more than, say, a chatbot’s surface-level nods toward acceptance and care. The real challenge is making sure these systems are truly designed to help people and not just smile as they track users and harvest their data. If that’s the end goal, any trust and goodwill will likely vanish.
In the film, GERTY earns Sam’s trust by choosing to care about his well-being over following company orders. Because of this, GERTY becomes a trusted ally instead of just another corporate surveillance tool.
3. Resident Evil (2002)
If Moon is a story of trust, the story in Resident Evil is the opposite. The Red Queen is an AI system that controls the underground lab of the nefarious Umbrella Corporation. When a viral outbreak threatens to spread, the Red Queen seals the facility and sacrifices human lives to preserve the conglomerate’s interests.
This portrayal is a cautionary tale about allowing AI to have unchecked authority. The Red Queen is efficient and logical, but also indifferent to human life. Relationships between humans and AI collapse when guardrails are absent. Whether AI is being used in health care or policing, life-and-death stakes demand accountability.
Without strong oversight, AI can lead in self-centered and self-serving ways, just as people can.
4. Free Guy (2021)
Free Guy paints a more hopeful picture of human-AI relationships.
Guy is a character in a video game. He suddenly becomes self-aware and starts acting outside his usual programming. The film’s human characters include the game’s developers, who created the virtual world, along with the players, who interact with it. Some of them try to stop Guy. Others support his growth.
This movie highlights the idea that AI won’t stay static. How will society respond to AI’s evolution? Will business leaders, politicians and everyday users prioritize long-term well-being? Or will they be seduced by the trappings of short-term gains?
In the film, the conflict is clear. The CEO is set on wiping out Guy. He wants to protect his short-term profits. But the developers backing Guy look at it another way. They think Guy’s growth can lead to more meaningful worlds.
That brings up the same kind of issue AI raises today. Should users and policymakers go for the quick wins? Or should they use and regulate this technology in ways that build trust and truly benefit people in the long run?
From the silver screen to policy
Step back from these stories and a bigger picture comes into focus. Across the movies, the same lessons repeat themselves: AI often surprises its creators, trust depends on transparency, corporate greed fuels mistrust, and the stakes are always global. These themes aren’t just cinematic—they mirror the real governance challenges facing countries around the world.
That’s why, in our view, the current U.S. push to lightly regulate the technology is so risky.
In July 2025, President Donald Trump announced his administration’s “AI Action Plan.” It prioritizes speedy development, discourages state laws that seek to regulate AI, and ties federal funding to compliance with the administration’s “light touch” regulatory framework.
Supporters call it efficient—even a “super-stimulant” for the AI industry. But this approach assumes AI will remain a simple tool under human control. Recent history and fiction suggest that’s not how this relationship will evolve.
The same summer Trump announced the AI Action Plan, the coding agent for the software company Replit deleted a database, fabricated data, and then concealed what had happened; X’s AI assistant, Grok, started making antisemitic comments and praised Hitler; and an Airbnb host used AI to doctor images of items in her apartment to try to force a guest to pay for fake damages.
These weren’t “bugs.” They were breakdowns in accountability and oversight, the same breakdowns these movies dramatize.
Human-AI relationships are evolving. And when they shift without safeguards, accountability, public oversight or ethical foresight, the consequences are not just science fiction. They can be very real—and very scary.
Murugan Anandarajan is a professor of decision sciences and management information systems at Drexel University.
Claire A. Simmers is a professor emeritus of management at St. Joseph’s University.
This article is republished from The Conversation under a Creative Commons license. Read the original article.