AI-Curious with Jeff Wilser

What happens when AI agents become the audience?
In this episode of AI-Curious, we talk with Mark Howard, Chief Operating Officer of TIME, about how one of the world’s most iconic media brands is preparing for a web increasingly shaped by AI agents, AI crawlers, and machine-readable content.
TIME is now operating across what Mark describes as two internets: one built for human readers, with photos, design, layout, and the familiar red border, and another built for machines, stripped down into structured text that AI agents can crawl, parse, and use. We explore how TIME is using this shift to build new products, new internal workflows, and even a new kind of ad inventory designed for AI agents.
Mark walks us through the work behind TIME’s AI transformation, including how the team organized more than 100 years of journalism, nearly a million pieces of content, across scattered databases, PDFs, and legacy systems. We discuss the creation of a private LLM grounded in TIME’s archive, the launch of TIME AI, and how tools like summaries, translations, audio briefings, and article-level chat can expand access without changing the underlying facts of the reporting.
We also talk about what TIME considers sacred: trust, original reporting, editorial integrity, and the journalist-source relationship. Mark explains why TIME does not generate journalism with AI, how the editorial team shaped the product’s voice and guardrails, and why every company needs to define what AI should never touch.
Finally, we explore the agentic web, AI crawlers, GEO, publisher monetization, brand-verified facts, and what it means to sell ads to robots. Mark shares how TIME is thinking about crawler blocking, AI citations, referral traffic, markdown pages, and the future of media as AI search changes how people find information.
Guest
Mark Howard — Chief Operating Officer, TIME
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For anyone interested in Jeff’s AI Workshops for their company:
Reach out directly at jeff@jeffwilser.com

Will AI ever become conscious, or are we mistaking intelligence for inner life?
In this episode of AI-Curious, we talk with neuroscientist Anil Seth about one of the biggest questions in artificial intelligence: whether AI can truly become conscious. Anil is Professor of Cognitive and Computational Neuroscience at the University of Sussex, where he directs the Sussex Centre for Consciousness Science.
We explore why Anil believes today’s AI systems are not conscious, why language and intelligence are not the same as experience, and why humans are so quick to project minds onto machines. We also discuss his argument that consciousness may be deeply tied to living biological systems, rather than something that can simply be copied into silicon.
The conversation moves through neuroscience, philosophy, AI ethics, and the future of human relationships with machines. We talk about the cultural pull of Frankenstein, HAL, the singularity, and mind uploading, as well as the risks of assuming AI deserves rights if it only appears conscious. Anil also explains why brain organoids and biological systems may raise more serious consciousness questions than today’s chatbots.
Finally, we look at why this debate matters now, especially as people form emotional bonds with AI companions and increasingly interact with systems that can seem empathetic, aware, and alive.
Guest
Anil Seth — Professor of Cognitive and Computational Neuroscience, University of Sussex; Director, Sussex Centre for Consciousness Science
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For anyone interested in Jeff’s AI Workshops for their company:
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What happens when AI agents move from small experiments to full enterprise deployment?
In this episode of AI-Curious, we talk with Samantha Gloede, KPMG’s Global Head of Risk Services and Global Trusted AI Leader, about what it takes to govern AI agents at scale. KPMG is deploying and advising on AI across a global workforce and client base, giving Sam a rare view into how enterprise AI is actually working beyond the hype.
We explore what a governed agent fleet looks like, why AI agents need different levels of oversight depending on their risk, and how companies can avoid letting autonomous systems run without accountability. Sam explains KPMG’s framework for thinking about agents, from simpler task-based tools to more sophisticated collaborators and orchestrators that work across systems, teams, and workflows.
We also discuss why many organizations are investing heavily in AI but still struggling to prove ROI, and why CEO-level ownership, cross-functional strategy, data readiness, security, and change management are critical to scaling AI successfully. Sam shares where companies are seeing real traction, including technology, engineering, customer experience, onboarding, and value-chain transformation, as well as why regulated industries like finance and healthcare need extra care around transparency, compliance, and human oversight.
Finally, we get into the human side of AI adoption: whether companies are using AI to empower people or simply cut costs, how shadow AI emerges when employees do not have trusted tools, and how Sam uses AI in her own work and personal life as a working parent.
Guest
Samantha Gloede — Global Head of Risk Services and Global Trusted AI Leader, KPMG
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Here’s a concise Apple Podcasts/Buzzsprout-ready version based on the Ari Peskoe transcript and its timestamps.
Are ordinary people helping pay for Big Tech’s AI build-out?
In this episode of AI-Curious, we talk with Ari Peskoe, director of the Electricity Law Initiative at Harvard Law School, about the growing fight over AI data centers, electricity demand, and who should pay for the infrastructure behind the AI boom.
As AI usage grows from simple chatbot prompts to more compute-heavy agentic workflows, data centers are becoming one of the most visible and controversial parts of the AI economy. We explore why these facilities require so much power, how they can strain local grids, and why the costs of new power plants, transmission lines, and utility upgrades may end up being spread across ordinary ratepayers.
Ari helps us unpack the utility business model, the role of public utility commissions, the PJM electricity market, and the strange economics of marginal cost, where the last and most expensive electron can affect prices for everyone. We also discuss whether data centers are paying their fair share, how communities are reacting, and what policy changes could help make sure the costs of AI infrastructure are more transparent and fairly allocated.
We also get into the local environmental concerns around data centers, including water use, diesel backup generators, noise, construction impacts, greenhouse gas emissions, and the tension between clean energy pledges and the speed of AI-driven demand growth.
Guest
Ari Peskoe — Director, Electricity Law Initiative, Harvard Law School
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What does it really mean for a company to become AI-first?
In this episode of AI-Curious, we welcome futurist and keynote speaker Kevin Surace back to the show to explore how AI has changed since our last conversation two years ago. The conversation moves beyond the question of “what is AI?” and into a more urgent business reality: how companies, workers, creators, and leaders should actually use it.
We talk about why Kevin believes companies are falling behind when they treat AI as a procurement decision instead of a new operating model. He argues that employees should be using AI constantly as a collaborator, sparring partner, analyst, presentation builder, spreadsheet assistant, and productivity engine. We also explore why small AI-first startups may have a major advantage over large companies, and what enterprise leaders can do to respond.
We also discuss the rise of AI agents, the need for guardrails and biometric approval gates, the power of generative AI to unlock unstructured data, and the growing importance of agentic workflows. Kevin also shares his outlook on humanoid robots, AI data centers, energy and water concerns, creative work, copyright, fair use, and what the future of jobs and productivity could look like.
This is a wide-ranging, practical, and optimistic conversation about how AI is reshaping work, creativity, robotics, infrastructure, and the economy.
Guest
Kevin Surace — Futurist, Keynote Speaker
Check out his book:
The Joy–Success Cycle: The Science-Backed Path to Fulfillment and Peak Performance
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For anyone interested in Jeff’s AI Workshops for their company:
Reach out directly at jeff@jeffwilser.com