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The Agents Of Tech Podcast

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by WebsEdge

5.0(7 reviews)

55 episodes

Updated Bi-weekly

Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Authority

Beta

FairBased on show quality, social media presence, reviews, charts, and more

Quality48

Social0

YouTube93

Engagement60

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Podcast Overview

*Where big questions meet bold ideas* Agents of Tech is a video podcast exploring the biggest questions of our time—featuring bold thinkers and transformative ideas driving change. Perfect for the curious, the thoughtful and anyone invested in what’s next for our planet. Hosted by Stephen Horn, former BBC producer turned entrepreneur and CEO, Autria Godfrey, Emmy Award-winning journalist and Laila Rizvi, neuroscience and tech researcher, the show features conversations with trailblazers reshaping the scientific frontier.

Language

🇺🇲

Publishing Since

4/26/2023

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🇺🇸 Charts #3

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Spotify 827

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Podcast Authority

Beta

FairBased on show quality, social media presence, reviews, charts, and more

Quality48

Social0

YouTube93

Engagement60

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excellent

Episode Length

33 minutes

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36 episodes over 2.4 years

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Every 24 days

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Recent Episodes

August 13, 2026

Are We Investing Too Much Money on AI? Oxford Economist Weighs In

Trillions of dollars are being poured into the AI promise of a global economic transformation. We're being sold a productivity revolution, faster output, greater growth, and unprecedented prosperity. But when? Real, tangible gains are barely showing up in the data. So is the return on investment actually going to be smaller and slower than promised? And could these billion-dollar bets bankrupt the companies making them and take the global economy down with it? This week, hosts Stephen Horn and Laila Rizvi are talking to globally renowned economist and Director of the Oxford Internet Institute, University of Oxford, Professor Carl Benedikt Frey, co-author of the famous “Future of Employment” study which garnered headlines about robots taking over our jobs and, more recently, his book "The Technology Trap," which showed that revolutionary technologies can take generations to pay off.Laila kicks off the interview by asking Professor Frey if he thinks that the trillions of dollars being invested in AI will pay off in the next five years. The more interesting question, he says, is whether it’s going to pay off for society and the economy. His answer to that one: probably not! He also questions how many of the firms investing enormous resources in the AI race will come out profitable on the other side.Next, Stephen and Carl compare the AI Revolution to the Industrial Revolution. Professor Frey points out that the first Industrial Revolution caused disruption, job loss and decline of wages at the lower end of income distribution, but that the second Industrial Revolution brought us broad-based improvements in standard of living and income. “I think a key question going forward is whether AI will mainly take the form of automation, and more closely mirror the First Industrial Revolution, or whether we will see it develop new products, new industries that create new jobs and activities, that create more broader shared abundance like the Second Industrial Revolution.”So where will innovation come from? Professor Frey points out the decline in breakthrough innovation and breakthrough patents since the computer revolution, which he attributes to an increase of projects, but at a lower quality. Laila asks whether access to AI is leading to more “AI slop” in academic papers, work and essays, while Stephen wonders how companies are actually going to innovate by putting AI at the heart of process.Laila asks Professor Frey what happens to society if AI doesn’t deliver productivity growth soon? Has AI done more harm than good? “Well, AI is clearly a tremendously unpopular technology… It's hard to think of any other technology where the developers of that technology are saying, "Well, best case, this will take your job, but worst case, it's going to kill you." Plus, he says, there’s plenty of hype because the stakes are so high.Stephen turns to the role of governments in the development of AI, and Professor Frey describes approaches that make sense for Europe, China and the USA. When will AI boost productivity and how significant will it be? Professor Frey thinks the answer “depends to what degree we'll see new firms coming in, building new products and new industries around AI” rather than AI merely being used as a productivity tool by individuals, and that “institutional change is going to be needed for these productivity gains to be realized.”As always, we end with our Rapid Fire segment.Laila asks Professor Frey for something that's universally accepted in his field that he strongly disagrees with: “It's seen as almost universally true that the best predictor for the future of work is what machine capabilities are. What's missing in there is that we need to consider more what humans actually want.”Finally, Stephen asks Carl what he’s optimistic about: “I'm really quite optimistic about the potential for AI in medical discovery. I think we do have an extraordinary opportunity for curing many diseases, including, hopefully, cancer.”

August 6, 2026

The Man Who Ran America's $9B Science Agency: "AI Isn't a Private-Sector Miracle"

If public money helped build the foundations of AI, but now private companies control much of its future, who should be reaping the benefits? Is there a role for the government? Who should be in charge of shaping what comes next? In this episode of Agents of Tech, our hosts Autria Godfrey, Stephen Horn, and Laila Rizvi are talking AI, publicly funded science, and the future of innovation with former National Science Foundation Director, Dr. Sethuraman Panchanathan, aka Panch, the Professor of Technology and Innovation at Arizona State University.Our guest, Dr. Sethuraman Panchanathan ran the National Science Foundation in the United States, one of the most important and powerful public science agencies in the world. The NSF was investing in AI long before names like Anthropic or OpenAI even existed. According to Panch, over the last six decades, the NSF has funded 80% of non-defense compute research – even, as Laila says, during “AI winters.”We start off by asking, how can anyone make the argument that AI and the current AI structure that we know and use today did not come from the public? And what role should the government play in AI research, or in passing legislation that will put AI safeguards in place?Dr. Panchanathan tells us about the 27 AI institutes the NSF launched while he was there that permeate all aspects of AI. He talks about the exciting opportunity that the co-evolution of AI and humans represents. Stephen asks how we can make sure AI is for everybody and it doesn’t lead to greater inequality, given the trillion dollars hyperscalers are pumping into AI? Panch describes the importance of the democratization of AI access, and the role of the federal government in these efforts. He explains how the NSF built the National AI Research Resource (NAIRR), not only as a federal government project, but as a hyper-partnership approach that also leveraged all of the assets and infrastructure of the private sector.Laila points out that it goes further than just having access – it’s reaping the benefits of those tools. Panch agrees, and likens the situation to the “digital divide” we talked about with broadband access. “We have had these kinds of challenges in the past,” Dr. Panchanathan says, and the answer is “democratized access in the form of education, training, awareness.” He talks about how the NSF’s Regional Innovation Engine program brought stakeholders together in a synchronized manner.After the break, Autria asks Dr. Panchanathan whether the government has enough in-house technical expertise to try to evaluate frontier AI systems properly and keep up with the speed at which things are progressing. Yes, says Panch, but expertise isn’t enough. “You want to be partnering with the people who are in the frontier...they are the people in the industry. And I can tell you, I've had many conversations with leaders in industry. They are only too happy to partner with the government in helping shape all of this future together in an unselfish way.”As always, we end our interview with our Rapid Fire segment, where our hosts ask our guests a series of three questions. Autria asks Panch where people will draw the line when it comes to allowing AI in their personal lives; his answer: compromising their privacy.Laila asks him for something that's universally accepted in his field that he strongly disagrees with; Dr. Panchanathan talks about the future of learning and why he doesn’t agree “that somehow learning happens in the campuses and four walls by the faculty that are going to be training you.”Finally, Stephen asks him what he’s optimistic about. “I am very, very optimistic about what technology and the human can do to unleash the latent potential of humans. We have not seen anything yet, my dear friends.”What about you? Would you like to see private industry continue to captain the ship, or should government and federal research institutions regain a bigger role? Weigh in by dropping your comments below.

July 23, 2026

Is the AI Backlash Overhyped or Justified?

AI was supposed to make us better: faster searches, more productivity, wider knowledge, but it hasn't, and public sentiment is starting to shift. People are inundated with fake images and voices, AI-generated slop, unreliable answers, phony influencers, and a growing wave of content that looks real, but it may not be. At the same time, young people just entering the job market are asking whether AI will not only just take their jobs, but alter their ability to have a career altogether. Is the conversation around AI contributing to this ever-growing crisis of distrust and misinformation? As the tide turns on AI, could public backlash against Big Tech be reaching a breaking point? In this episode of Agents of Tech, our hosts Stephen Horn, Autria Godfrey, and Laila Rizvi explore whether AI is still a productivity tool ready to revolutionize the world for the better, or if it’s creating a crisis of distrust and leading to a wave of anti-AI backlash? In this lively discussion episode, our hosts grapple with the important debate about whether the public is turning against AI or maybe just against the companies deploying it. Or, to put it another way, “Are we heading toward Big Tech's big tobacco moment?” We start off with Stephen describing the CEO’s perspective into the agentic AI revolution, comparing the benefits of AI adoption with the negatives and the narrative around it. Autria and Laila debate Hollywood studio’s response to using AI. Is it a tool to be used for augmentation. Will it replace workers? Or is it reflective of a flawed communication strategy by the studios? Stephen compares the AI revolution to the Industrial Revolution and the lag between the actual change and the perception of that change - even bringing up the original Luddites. You’ll hear from previous guests on our show, like Emily Bender, who talks about AI’s impact on early jobs in a clip from our episode, “What AI Is — and Isn't: A Conversation with Emily Bender.” According to Laila, this is another example of Silicon Valley’s messaging problem, and she cites statistics that show that the AI trust gap is different in the U.S. than it is in China. Stephen pushes back on Emily’s concern that replacing entry level jobs with AI will create problems up the corporate ladder in the future. But when Autria asks him if he’s predicting the end of the C-suite, he says that AI will lead to a fundamental restructuring of the workplace. We also explore the impact of AI on politics, citing our previous guest Gary Marcus. Will anti-AI sentiment be an important element in our upcoming political discourse? Next up, we share a clip with Wikipedia founder Jimmy Wales from our episode, “Wikipedia, Media Bias and AI with Jimmy Wales.” We discuss the relationship between AI and human knowledge, and whether LLMs would be completely lost without humans. In our final thoughts, Autria, Laila and Stephen debate the concept of “AI for good” and the role of public perception of AI. Stephen concludes that because the fundamental change created by AI will affect all aspects of society, it’s society, however you define it, that will have to grapple with it. And Laila brings in the importance of capital markets and their strategy of selling fear as opposed to highlighting the value-add. What do you think? Tell us in the comments below.

55 total episodes available

Recent guests on The Agents Of Tech Podcast

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José Penadés

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Lindsey Raymond

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Auroop Ganguly

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Professor Erica Carlson

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What is The Agents Of Tech Podcast?: Where big questions meet bold ideas

Agents of Tech is a video podcast exploring the biggest questions of our time—featuring bold thinkers and transformative ideas driving change. Perfect for the curious, the thoughtful and anyone invested in what’s next for our planet.

Hosted by Stephen Horn, former BBC producer turned entrepreneur and CEO, Autria Godfrey, Emmy Award-winning journalist and Laila Rizvi, neuroscience and tech researcher, the show features conversations with trailblazers reshaping the scientific frontier.
How often does this podcast release new episodes?: This podcast updates bi-weekly.
Where can I listen to this podcast?: This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Information about guest appearances is not available.

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