Summary:
- People often publicly criticise AI while privately using it, revealing a double standard between how we judge others and how we optimise ourselves.
- AI disrupts costly signalling: when valuable work no longer looks hard to produce, our brains instinctively downgrade its worth.
- Social signalling turns AI spotting into a status play, while self-serving bias lets us label others’ AI use as laziness and our own as productivity. Ultimately, we keep using AI because we seek cognitive ease, even as we resist what it implies about human relevance.
- At its core, AI backlash reflects anxiety about human relevance, not rejection of the technology itself.
In the jungle of social media, we’re witnessing a new ritual: the hunt for machine fingerprints. The moment a piece of visual content or a narrative is detected to have patterns that are too neat or diction that’s too polite, the comment section is instantly flooded with cynicism. “This was made by AI,” a netizen writes with a triumphant tone—as if they’ve just exposed an intellectual scandal.
There’s a huge ego rush in successfully stripping a work down as a product of an algorithm. But behind the scenes, something deliciously ironic is happening. Many of those cynical commenters are actually relying on the very same technology to write reports, reply to client emails, or craft articles so they look smarter.
Why are we so harsh in judging other people’s AI output as soulless trash, while we ourselves embrace it as a crucial productivity tool?
The Paradox of Value and Ego
From a behavioural science lens, this phenomenon is rooted in the Effort Heuristic. Psychologically, humans tend to measure the value of a work based on the creator’s “suffering.” High-quality work is supposed to be born from extraordinary effort. AI brutally disrupts that value scale. When a masterpiece can emerge from a single line of prompt, our ego feels threatened. Mocking AI content becomes a self-defence mechanism—reasserting that the human role hasn’t been fully displaced.
In costly signalling theory, valuable communication is expensive communication. We value honesty because it’s risky, and we value art because it’s difficult to produce. AI turns “expensive signals” (work that takes months) into “cheap signals” (results in seconds). Our brains instinctively downgrade the value of anything that can be obtained too easily. As long as AI makes everything low-effort, the human brain will keep looking for ways to elevate whatever machines can’t easily replicate.
On top of that, there’s social signalling. Being an “AI detective” is a new status symbol. In the flood of information, the ability to distinguish what’s authentic from what’s algorithmic creates a sense of superiority. We want the world to know we still have taste and sensitivity that no matter how powerful, machines can’t copy.
The Biology Behind the Hypocrisy
So why do we keep using it anyway? The answer lies in self-serving bias. We carry a convenient double standard: when other people use AI, it’s a sign of creative laziness. When we use it, it’s “process optimization.” We feel we’re still in control of the big idea, while AI is merely a technical assistant.
Even deeper, our brains are evolutionarily cognitive misers—entities that constantly seek cognitive ease, the path with the lowest energy resistance. AI offers an escape from the pain of staring at a blank screen. Once we feel that speed, hedonic adaptation kicks in; manual work suddenly feels outdated and inefficient. We hate the end product when someone else makes it, but we need the process to stay competitive.
In the end, this cynicism may not be about hatred of technology, but about anxiety over human relevance. We’re trapped in an exhausting cognitive dissonance: wanting to appear authentic in public, while wanting to be highly efficient in private.
But maybe it’s okay to keep this hypocrisy alive for a while. Realizing that our brains are cognitive misers craving convenience—while also acting as judges hungry to ridicule other people’s (un)creative outputs—is the first step toward admitting that like it or not, want it or not, it’s fine to use AI as long as our brain remains the orchestra conductor… not just another musician playing the notes.
Why This Matters — and How Illuminate Asia Can Help
The way people talk about AI is rarely the way they actually behave. Public scepticism, private reliance, shifting perceptions of value — these contradictions don’t just shape opinions, they shape consumer decisions, brand trust, and competitive advantage.
Understanding concepts like costly signalling, social signalling, self‑serving bias, and the human drive for cognitive ease is no longer academic. These behavioural forces influence how audiences judge authenticity, effort, credibility, and innovation, often subconsciously.
At Illuminate Asia, we help organisations decode these behavioural dynamics. By combining behavioural science, cultural insight, and strategic intelligence, we help brands:
- Understand how people really think and decide — not how they claim to
- Anticipate backlash, scepticism, and trust gaps around emerging technologies
- Design strategies, narratives, and experiences that align with human psychology, not fight it
If your organisation is navigating changing perceptions of AI, authenticity, or value — or simply wants deeper insight into the behavioural forces shaping your customers — we can help. Get in touch: info@illuminateasia.com
FAQs
- Why do people criticise AI while still using it themselves? Because of a combination of self‑serving bias and social pressure. We judge others’ AI use harshly to protect our sense of skill and authenticity, while reframing our own use as efficiency or optimisation.
- What is “costly signalling” and why does AI disrupt it? Costly signalling is the idea that work is valued because it looks difficult or time consuming. AI turns traditionally “expensive” signals into low effort outputs, causing people to instinctively downgrade their perceived value.
- How does social signalling influence attitudes toward AI? Calling out AI use has become a status move. Spotting “machine fingerprints” signals taste, intelligence, and discernment — even when the critic privately relies on the same tools.
- What does “seeking cognitive ease” mean in the context of AI? Humans are wired to minimise mental effort. AI offers speed, structure, and relief from cognitive strain — which is why adoption keeps growing.
- Is backlash against AI really about the technology itself? Often, no. The resistance is less about AI’s capabilities and more about anxiety over human relevance, creativity, and the future value of human effort.
- Why does this matter for brands and organisations? These behavioural dynamics shape how consumers judge authenticity, trust, innovation, and credibility. Misreading them can lead to backlash, while understanding them creates strategic advantage