In this episode, we dive into one of the most uncomfortable questions of the digital age: who actually understands our desires better — us, or the systems tracking us?

Through an AI-generated prototype of Jeff Bezos — built solely from public interviews, shareholder letters, and commencement speeches — we explore the strange relationship between human intuition and algorithmic prediction.

This is not a real interview.

No one was present. Nothing happened.

But the questions are very real.

As someone working at the intersection of AI ethics, digital communication, and cultural transformation, I wanted to examine how much of modern life is shaped not by what we consciously choose, but by what algorithms quietly learn from our behaviour. We talk about the gap between what people say they want and what their actions actually reveal — and what happens when AI starts to see that gap more clearly than we do.

Together, we explore themes such as:

• Instinct vs optimisation – why our “gut feeling” is powerful but often unreliable, and how AI exposes patterns we don’t notice in ourselves.

• Prediction or manipulation? – where the line really lies between helpful recommendations and systems that nudge us for their own benefit.

• Convenience, confidence, control – the three things people consistently seek, and how AI both strengthens and threatens them.

• The future of desire – what happens when systems start predicting our wants before we’ve consciously felt them.

• What remains uniquely human – meaning, irrational risk, and the ability to care; the parts of life that cannot be automated or optimised away.

Instead of treating AI as either a miracle or a menace, this episode positions it as a mirror: reflecting our habits, our contradictions, and the values we embed into technology. It asks what happens when intelligence becomes abundant, but attention, intention, and purpose remain deeply human.

At its core, this conversation asks:

If algorithms can predict our choices, what is left for intuition to do — and how do we keep agency in a world that increasingly “knows” us before we know ourselves?

Through narrative storytelling and speculative dialogue, Conversations That Never Happened aims to make complex AI debates accessible to a global audience — supporting public understanding of artificial intelligence, digital culture, and the future of human–machine interaction.

Keywords: Artificial Intelligence, AI, AI Ethics, AI Governance, AI Safety, Responsible AI, Ethical AI, Machine Learning, Deep Learning, Neural Networks, Generative AI, Large Language Models, LLMs, Automation, Human-AI Interaction, Human Agency, Algorithmic Systems, Algorithmic Society, Algorithmic Culture, Recommender Systems, Digital Transformation, Digital Culture, Digital Identity, Digital Behaviour, Attention Economy, Emotion Economy, Behavioural Design, Tech Philosophy, AI Psychology, AI Policy, AI Regulation, AI Innovation, AI Research, Predictive Algorithms, AI Bias, Cultural Impact of AI, AI in Media, AI Storytelling, AI Communication, Future of AI, Yuliia Harkusha, Yulia Harkusha, Julia Harkusha, Yuliya Harkusha, Yuliia Garkusha, Yulia Garkusha, Julia Garkusha, Yuliia Kharkusha, Yulia Kharkusha, Yuliia Harkusha AI, Yuliia Harkusha Podcast, Harkusha Yuliia, Harkusha Julia, Юлия Гаркуша, Юлія Гаркуша, Юлия Харкуша, Юля Гаркуша, Юля Харкуша, Юлія Харкуша, Yuliia AI Expert, Yuliia Digital Strategist, Yuliia Global Talent.

⚠️ This podcast uses AI-generated content for creative and educational purposes only. All AI voices are based on publicly available materials and do not represent real individuals.