Podcast artwork thumbnail for Machines Like Us

Machines Like Us

Taylor Owen

Booking Overview

This is an interview-focused technology show about artificial intelligence, robotics, technology policy, and the social implications of emerging technologies, typically featuring prominent journalists, scholars, policymakers, and technology experts. Credible pitches include AI and robotics researchers, technology policy leaders, authors, investigative journalists, and experts on digital ethics or technology's societal impact; booking is likely high difficulty because recent guests include senior government officials, established authors, and notable academics.

Metrics

Episodes: 55

Frequency: Every two weeks

Rating: 4.8/5.0

Estimated listeners: 1,000 - 10,000

Listener location: Canada

YouTube: 263.0k subscribers

Instagram: 252.0k followers

Contact Information

Publicly listed emails

wcox@globeandmail.com

rzamon@globeandmail.com

milo@globeandmail.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Taylor Owen - Canadian academic and researcher specializing in media, technology, and international affairs. He is a professor at McGill University and works on the democratic and societal implications of emergi...

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Established journalists and authors, university researchers, senior technology practitioners, prominent policy experts, and government officials with direct expertise in artificial intelligence, robotics, digital regulation, or the social effects of emerging technologies.
Required Achievements:  
Published books or significant journalism on technology and artificial intelligence, Senior government or policymaking roles, University research or academic leadership in robotics, technology, or artificial intelligence, Leadership or first-hand experience in developing major emerging technologies

Recent Guest Discussions

Taylor Lorenz - AI Marketing, Undisclosed Influencer Deals, Coordinated Online Campaigns, And The Use Of Money To Shape Public Debate About Artificial Intelligence.

Greg Epstein - Artificial Intelligence, Human Meaning, Uncertainty, Religion, And The Philosophical Questions Raised By Increasingly Capable Machines.

Sebastian Mallaby - Deepmind, Demis Hassabis, The Development Of Modern AI, And The Scientific And Commercial Forces Shaping The AI Race.

Angelica Lim - Humanoid Robots, Empathy In Robotics, Trust, And The Social Implications Of Robots Living And Working Alongside People.

Marc Miller - Canada's Safe Social Media Act, Age Restrictions, AI Chatbot Regulation, Platform Accountability, And Online Safety For Minors.

Recent Topics

Technology, Artificial Intelligence, Robotics, Technology Policy, Digital Ethics

Episodes

Here's the recent few episodes on
Machines Like Us
:

Taylor Lorenz on the dark money buying your social feed

September 15, 2026

In early August, OpenAI hosted dozens of lifestyle creators at an upstate New York resort for a weekend they called Summer Club. There was beekeeping. There were farm-to-table dinners. And in between, there were sessions on how to use ChatGPT. The ensuing backlash was swift, especially against the female influencers.But the money pouring into AI marketing goes far beyond a luxury brand trip. Tech billionaires and super PACs are spending millions to quietly flood your social media feeds. Some ...

Why does AI sound so much like religion?

September 01, 2026

For years, the debate about AI was mostly about what it could do, whether it could write, make convincing art, or beat us at our own games. The questions now are older and harder. What makes us human? How do we find meaning? If a machine can do more of the things we thought made humans special, where does that leave us? These aren’t new questions, but rapid advances in AI have made them feel a lot more urgent. Even Pope Leo XIV chose artificial intelligence as the subject of his first encycli...

Demis Hassabis wanted to solve intelligence. Then came ChatGPT.

August 18, 2026

When Demis Hassabis co-founded DeepMind in 2010, his mission was simple: solve intelligence, then use it to solve everything else. What began as a scientific quest would eventually become a fierce global AI race.  Today, DeepMind is owned by Google and is one of the world’s leading AI labs. Journalist and author Sebastian Mallaby spent years interviewing Hassabis, his collaborators, rivals and critics for his new book, The Infinity Machine. It tells the story of the remarkably small group of ...

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Frequently asked questions

Here's some frequently asked questions for
Machines Like Us
:

How do I get in touch with Machines Like Us?

Machines Like Us is hosted by Taylor Owen. Its publicly listed emails are wcox@globeandmail.com, rzamon@globeandmail.com, and milo@globeandmail.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Machines Like Us?

The publicly listed emails for Machines Like Us: wcox@globeandmail.com, rzamon@globeandmail.com, and milo@globeandmail.com.

How many listeners does Machines Like Us have?

Podseeker estimates Machines Like Us reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Machines Like Us?

Machines Like Us typically books well-known public figures. Typical guest background: Established journalists and authors, university researchers, senior technology practitioners, prominent policy experts, and government officials with direct expertise in artificial intelligence, robotics, digital regulation, or the social effects of emerging technologies. Common among recent guests: Published books or significant journalism on technology and artificial intelligence; Senior government or policymaking roles; University research or academic leadership in robotics, technology, or artificial intelligence. Recent guests include Taylor Lorenz, Greg Epstein, and Sebastian Mallaby.

How hard is it to get booked on Machines Like Us?

High. It mostly books established leaders in its field.

What topics does Machines Like Us cover?

Recent episodes cover Technology, Artificial Intelligence, Robotics, Technology Policy, and Digital Ethics. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

wcox@globeandmail.com

rzamon@globeandmail.com

milo@globeandmail.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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