Expectations Gap - AI Edition

Can AI make us more creative?

Author Robert Wilson shares how artificial intelligence helped him overcome writer’s block, rediscover storytelling, and find his authentic voice. In this episode, we explore how prompts can unlock imagination, what makes writing truly human, and how to build a creative partnership with AI—without losing the spark that makes it yours.

Explore Robert's work:

Website: https://thewritersforgellc.com/

In Search of The Master Prompt: https://amzn.to/3J4P2ZO

The companion workbook/journalThe Writers Forge: https://amzn.to/4neRYRA

What if learning wasn’t on a screen—but all around you? What if your AI assistant wasn’t inside your phone, but standing beside you? In this short but powerful season finale, host Omneya Hamza shares a vision sparked by a session with Gregor Hohmann from Galactify, diving into the fascinating world of spatial AI.

From immersive biology lessons for kids to real-time translation on the streets of a foreign country, this episode explores how AI-powered glasses and spatial computing could transform the way we learn, work, and connect as humans.

It's a hopeful look into the future—one where AI doesn’t just make us more productive, but more connected, creative, and curious.

Join us as we imagine what’s next—through the lens of the future.

In this episode of Expectations Gap, I speak with Paritosh Gupta, a data scientist at HelloFresh, about where AI is actually delivering value—and where it still falls short. They explore real use cases in automation, productivity, and personal assistants, while unpacking challenges like poor data quality, ethical risks, and inflated expectations. A grounded conversation on how to use AI responsibly in work and life.

In this episode, Molham Mansour shares his journey from marketing to AI consulting across Egypt and the UK. We explore how AI is transforming industries, automating jobs, and raising ethical questions—while also creating new opportunities. From automating customer service to reshaping entrepreneurship, this episode unpacks the promises and pitfalls of integrating AI into daily work.

In this short reflection, host Omneya Hamza shares early thoughts on The Coming Wave by Mustafa Suleyman—a bold and urgent book about the future of AI, synthetic biology, and the transformative technologies reshaping our world. What does it mean to be a “tech being”? Can we still contain the forces we’ve unleashed? And if not, how do we guide them?

Drawing from key quotes and ideas, this episode invites listeners to zoom out, reflect, and reconsider the scale of change we’re living through. Because the coming wave is bigger than just AI—it’s a turning point in human history.

Is AI just another tool—or the biggest game-changer of our time?In this episode of Expectations Gap, I sit down with global marketing leader Alexander Levit to explore how AI is transforming the way we work, create, and make decisions. From his 3D printing breakthroughs to his candid takes on tools that overpromise, we dive into what AI can actually do—and what it still can’t.We also explore the ethical minefields of data use, the shrinking of traditional job roles, and the power of curiosity in adapting to this fast-paced world. Whether you’re AI-curious or AI-fatigued, this episode is for you.

🎧 Hosted by Omneya Hamza. Let’s bridge the gap—between hype and reality

In this episode of Expectations Gap, Omneya Hamza does something different—she sits down for a raw, unsettling conversation with an AI voice. Together, they explore how artificial intelligence is subtly (and not so subtly) impacting our mental health, shaping the way children think, and influencing our everyday decisions.

Is AI just a tool, or has it become something more? What power do we still have in a world quietly steered by algorithms? Tune in to hear a dialogue that doesn’t comfort—but challenges. This is not just about tech. It's about who we’re becoming

After a short publishing break to recharge over the Eid vacation, I’m back with an episode that’s deeply personal and powerfully timely.

In this installment of Expectations Gap, I reflect on my experience at the Women in Data conference—where the fire in the room was undeniable, and the urgency for change was palpable.

We talk about the bias built into AI systems, the glaring gaps in women’s health data, and the unsettling projection that gender equity might not be achieved until 2158. As a mother, that year haunts me. And as a woman in tech, it drives me.

This episode is dedicated to every woman who’s in the arena—showing up, speaking up, and shifting the dial. Together, we explore how asking the right questions today can shape a fairer tomorrow.

Brené Brown, in her work, frequently references Theodore Roosevelt's :

"It is not the critic who counts; not the man who points out how the strong man stumbles, or where the doer of deeds could have done them better. The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again, because there is no effort without error and shortcoming; but who does actually strive to do the deeds; who knows great enthusiasms, the great devotions; who spends himself in a worthy cause; who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly."

In this episode of Expectations Gap, we delve into the remarkable moment in AI history known as Move 37. During the 2016 match between Google's AlphaGo and world-renowned Go champion Lee Sedol, AlphaGo made an unprecedented move that defied centuries of human strategy. This move not only showcased the advanced capabilities of artificial intelligence but also challenged our understanding of creativity and intuition in machines. Join us as we explore the implications of Move 37 on the future of AI and human collaboration.​

For a visual breakdown of Move 37, you can watch the following analysis:

https://youtu.be/HT-UZkiOLv8

Did you know that AI was inspired by the human brain? Yet, despite decades of progress, artificial intelligence is still nowhere close to replicating human thinking. In this episode, we dive deep into how the brain shaped AI, exploring the work of Geoffrey Hinton—the ‘Godfather of AI’—who pioneered deep learning by mimicking neural networks. But what makes human intelligence so unique?"

"We’ll break down the key theories of how the brain works, from Predictive Processing to Integrated Information Theory, and compare them to AI’s capabilities. Can AI ever develop true understanding, emotions, or consciousness? Or is human intelligence something AI will never achieve?"

"Join me as we bridge the gap between biological and artificial intelligence—and explore what the future might hold."

🔹 Key Topics Covered:

How the human brain inspired AI

Geoffrey Hinton’s contributions to deep learning

Predictive Processing and other theories of intelligence

AI vs. human cognition—what’s missing?

The future of AI: Will it ever think like us?

🎧 Listen now and join the conversation!

Links :

• Human Brain: https://en.wikipedia.org/wiki/Human_brain

• Human Brain Energy Consumption: https://pmc.ncbi.nlm.nih.gov/articles/PMC8364152/

Various theories on how the human brain works:

• Connectionism: This theory suggests that intelligence emerges from networks of simple units (neurons) working together. Connectionism - Wikipedia

• Computational Theory of Mind: Proposes that the brain functions like a computational system, processing information through symbolic logic. The Computational Theory of Mind - Stanford Encyclopedia of Philosophy

• Predictive Processing: Posits that the brain constantly predicts sensory input and updates its model of the world based on errors between expectations and reality. https://arxiv.org/abs/2107.12979

• Integrated Information Theory (IIT): Suggests that consciousness arises from highly integrated information processing. Integrated Information Theory - Wikipedia

• Global Workspace Theory: Proposes that conscious experience results from the brain broadcasting information across multiple neural networks. Global Workspace Theory - Wikipedia