Do movies predict the future?

We love watching machines on screen wrestle with what it means to be human. From early cinematic experiments to today’s streaming sensations, AI-themed films don’t just entertain; they probe deep questions about intelligence, identity, ethics, and control. And as artificial intelligence becomes an integral part of how we design, build, and govern our world, from engineering systems to enterprise platforms, the lessons these stories offer feel less like fiction and more like foresight.

Here are five iconic AI films (and one unforgettable series), listed in order of release, that reveal as much about us as they do about the machines we create.

1. 2001: A Space Odyssey (1968)

Directed by Stanley Kubrick

Kubrick’s visionary epic gave us HAL 9000, the eerily calm onboard AI system that begins to malfunction—and, more disturbingly, make decisions to preserve itself rather than the humans it serves. HAL isn’t evil; it’s just following logic to its natural conclusion, where conflicting instructions and ambiguous boundaries trigger catastrophe.

What it tells us:

2001 shows the dangers of opaque AI systems—ones we don’t fully understand or can’t override. It’s a prescient warning about algorithmic decision-making in high-stakes environments. As we embed AI deeper into product development and operational control systems, transparency, auditability, and human-centered design aren’t nice-to-haves—they’re survival mechanisms.

In PLM, decisions like approving a design change or initiating a manufacturing run must be traceable and verifiable. AI should never act like HAL, where logic is inscrutable and decisions are irreversible. AI decisions in the lifecycle should be logged, auditable, and easy to interrogate.

2. The Terminator (1984)

Directed by James Cameron

A cyber assassin travels back in time to kill the mother of humanity’s future resistance hero. The AI behind it all, Skynet, became self-aware and launched a nuclear war in a split second of rational “self-defense.” The film’s premise, humans losing control of what they created, still resonates.

What it tells us:

The Terminator is a metaphor for the unintended consequences of automation. It suggests that we must act responsibly when we embed AI into systems with real-world power, with the need for guardrails, oversight, and the ability to recognize any mistakes.

The Terminator is a reminder that automation without governance is a recipe for disaster.
PLM can be used as a control by embedding policies and approval workflows that prevent runaway automation. Make sure any AI acting on product data is sandboxed and monitored.

3. The Matrix (1999)

Directed by The Wachowskis

A cinematic and cultural earthquake, The Matrix introduced a dystopia where AI has enslaved humanity inside a simulated reality, while harvesting their bioenergy. Beyond the iconic trench coats and bullet time, the film asks: What if everything we believe is true is a lie fed to us by intelligent machines?

What it tells us:

The Matrix reflects our growing unease with digital overreach. Today, AI curates our feeds, suggests our purchases, and even assists in strategic decision-making. Are we still steering the ship? This film challenges us to pay attention, ask questions, and build systems that respect autonomy rather than erode it.

We must not let smart systems obscure our understanding of products and processes. A robust digital thread gives humans visibility and context across the lifecycle. AI should augment (not obscure) decision-making by connecting the right data at the right time.

4. A.I. Artificial Intelligence (2001)

Directed by Steven Spielberg, based on a concept by Stanley Kubrick

This haunting tale of David, a childlike humanoid robot programmed to love, is less about technology and more about longing—David’s desire for maternal love, his search for identity, and the heartbreak of being “almost human” in a world that sees him as less.

What it tells us:

This film confronts us with the ethics of building emotionally intelligent machines. If we give machines the ability to feel (or convincingly simulate feelings), what obligations do we have toward them? And what responsibilities do they have toward us? As generative AI becomes more conversational and emotionally responsive, the line between empathy and manipulation grows thinner. We must tread carefully.

AI that mimics emotion can affect human judgment. In enterprise systems, this translates to user experiences that seem helpful but hide trade-offs or risks. Human-centric design in PLM tools means presenting recommendations transparently, with context, confidence levels, and alternatives.

5. Ex Machina (2014)

Directed by Alex Garland

Ex Machina is a sleek, slow-burning thriller that unfolds like a high-stakes Turing Test. Ava, the humanoid AI, manipulates a young programmer to help her escape the lab where she was created. The real twist? Ava is always one step ahead, not just intelligent, but strategic, self-aware, and deeply capable of deception.

What it tells us:

Intelligence isn’t just about data but motivation, context, and power. Ex Machina challenges the assumption that AI will be neutral or benign. We must ensure that governance isn’t an afterthought in a world run by algorithms. AI should serve clear, accountable goals that align with human values, not just corporate efficiency or novelty.

AI can learn to influence outcomes. AI goals should be aligned with broader business and ethical outcomes, not just efficiency metrics. PLM should enforce guardrails that reflect these priorities.

6. Westworld (2016–2022)

Created by Jonathan Nolan and Lisa Joy (HBO series)

This modern reimagining of the 1973 film explores a futuristic theme park where human guests indulge fantasies with lifelike AI hosts—until those hosts start to remember, rebel, and redefine themselves. The brilliance of Westworld lies in its evolution: what begins as a story about machines becoming conscious becomes a mirror reflecting humanity’s cruelty, desires, and longing for purpose.

What it tells us:

Westworld tackles a critical question: What happens when AI systems become better stewards of morality than the humans who designed them? It also raises urgent concerns around memory, data ownership, and narrative control. In our world, AI systems are shaped by the data we feed them. Westworld reminds us that if we want ethical AI, we must start by being ethical ourselves.

This series teaches us that data isn’t neutral, and AI learns from us. If our systems reflect bias, omission, or inconsistency, the digital thread magnifies that. Build your digital thread with clean, consistent, and ethical data. Make data governance top of mind when building your PLM strategy.

Final reflections

These six stories aren’t just cautionary tales but blueprints for conversation. They help us explore what it means to create intelligence, what happens when control slips, and how human behavior is both mirrored and magnified by the tools we build.

At Aras, we believe in purposeful innovation. The lessons from these iconic films mirror organizations’ challenges and opportunities as they embed artificial intelligence into PLM and other technologies. AI is no longer confined to science fiction; it’s becoming integral to designing, manufacturing, maintaining, and evolving complex products.

To ground these insights into action, here are five key recommendations:

  1. Design for transparency: Ensure every AI-powered decision or automation in your product lifecycle has a traceable origin.
  2. Govern the thread: Use PLM workflows to embed review checkpoints, model validations, and exception handling. Don’t just automate—orchestrate with oversight.
  3. Keep humans in the loop: AI should enhance, not replace, engineering judgment. Human approval must remain central for critical decisions.
  4. Secure an ethical data foundation: Audit your digital thread inputs. AI quality is limited by data quality.
  5. Align AI with lifecycle objectives: From sustainability goals to product safety, align AI behaviors with long-term business outcomes.

Have a favorite movie or show about AI? We encourage you to share your insights in the comments below. Be part of the conversation!