In 1984, Dr. Robert Cialdini published Influence: The Psychology of Persuasion, outlining the six core drivers of human compliance:
Reciprocity,
Commitment & Consistency,
Social Proof,
Authority,
Liking,
Scarcity.
Decades later, psychologist Daniel Kahneman expanded our understanding of human decision-making in Thinking, Fast and Slow. He demonstrated how our fast, intuitive “System 1” brains routinely rely on these shortcuts, or as psychologists call them: heuristics, as survival mechanisms.
Both psychologists turned authors issued clear warnings: these principles could be leveraged just as easily by bad actors as by those setting out to persuade for positive outcomes.
Cialdini wrote for an analogue world of salesman, direct mail, and print advertising. He could not have foreseen the impact of the internet, social media, and generative AI.
In the analogue era, persuasion took time and human effort. Today, machine learning algorithms execute Cialdini’s drivers at micro-targeted scale. The tiny safety mechanism that were present pre digital, of time to reflect on a choice has been removed by the instantaneous speed of digital. The opportunity for rational analysis to impose itself on an immediate emotional reaction has been dramatically reduced.
Social proof is manufactured via engagement metrics; authority is mimicked by credible sounding bullshit, scarcity is simulated through algorithmic urgencies, and consistency has built its own echo chamber that hardens peoples beliefs, even in the face of clear data to the contrary.
The result is systemic fragmentation.
Households, public discourse, political systems, and social licenses are splitting into opposing, highly polarised positions.
The forces Cialdini identified have not changed, they are the result of millions of years of evolution. What has changed is that AI now automates persuasion compounding the moral gap between the ‘Persuaders’ and those targeted for persuasion.
