Couverture de Today in Tech

Today in Tech

Today in Tech

De : Foundry
Écouter gratuitement

Offres de saison | 0,99 € par mois pendant les 3 premiers mois

5,99 €/mois par la suite. Des conditions s’appliquent. Annulation mensuelle possible.
À propos de ce contenu audio
Host Keith Shaw and his expert guests discuss the latest technology news and trends happening in the industry. Watch new episodes twice each week or listen to the podcast.Copyright Foundry - All rights reserved.
Épisodes
  • The Hidden Costs of AI: Are Companies Spending Too Much?
    Oct 20 2026
    Companies have spent billions racing to adopt artificial intelligence. But as AI moves from experimentation into production, are businesses discovering that the real costs are much higher than expected? In this episode of Today in Tech, host Keith Shaw talks with Erwan Menard, senior vice president of product at Crusoe, about the economics of AI, the hidden costs of AI agents, and whether the industry's massive investments in infrastructure are sustainable. The episode explores why GPU pricing and token costs tell only part of the story, how businesses should measure AI return on investment (ROI), and why inference workloads are changing the economics of enterprise AI. Keith and Erwan also discuss the growing role of open AI models, how companies can reduce costs by choosing the right model for each task, and why electricity availability may be a bigger obstacle to AI growth than GPU shortages or funding. Topics covered: * Why AI agents can dramatically increase inference costs * The hidden expenses of scaling AI from pilot projects to production * How businesses should measure AI ROI and successful task completion * Why open models and smaller language models could lower enterprise AI costs * The growing energy crisis facing AI data centers * Community backlash against data center construction and electricity demand * Whether companies are overbuilding AI infrastructure * Are we experiencing an AI bubble, or is demand just getting started? Menard argues that AI's biggest challenge isn't a lack of demand or investment. It's the ability to deliver enough power and infrastructure to support continued growth. But Keith challenges that optimism, questioning whether AI spending, circular investments and infrastructure expansion are creating an unsustainable boom. Is AI delivering enough value to justify its growing costs? And who ultimately pays for the infrastructure behind it?
    Afficher plus Afficher moins
    29 min
  • When Agents Start Talking to Each Other, What Could Go Wrong?
    Oct 6 2026
    AI agents are moving beyond simple chatbots and isolated tasks. The next step is agent-to-agent communication, where AI systems operated by different companies could negotiate, exchange information, make decisions and even conduct business with each other. But what happens when those agents misunderstand each other, hallucinate, get hijacked or make a costly decision without a human catching it? In this episode of Today in Tech, Keith Shaw talks with Swamy Kocherlakota, Chief AI Officer at Zscaler, about the promise and risks of agent-to-agent communication. They discuss how AI agents establish trust across company boundaries, why identity and access controls become critical, the danger of compounding hallucinations, where humans still need to stay in the loop, and why autonomous AI transactions will need the equivalent of “circuit breakers.” The bigger question: Is autonomous agent-to-agent business really around the corner, or are AI vendors getting ahead of their skis?
    Afficher plus Afficher moins
    31 min
  • AI Slop is Creating More Work, Not Less
    Sep 22 2026
    AI was supposed to save us time. Instead, it may be creating a new problem: AI slop (polished-looking emails, reports, presentations, research and code that someone else has to review, fact-check and fix). In this episode, Today in Tech host Keith Shaw talks with Chris Bevil of Commvault about the growing “review tax” of generative AI, why executives and employees may have very different views of AI productivity, and what happens when AI-generated information starts becoming accepted as corporate truth. They also dig into productivity theater, AI checking other AI, why people may trust AI more than it has earned, and a disturbing deepfake scam involving fake executives. Is AI actually eliminating work, or just moving the work to someone else?
    Afficher plus Afficher moins
    31 min
adbl_web_anon_alc_button_suppression_t1
Aucun commentaire pour le moment