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  • Why AI might be fueling your tech debt problem

    Why AI might be fueling your tech debt problem
    Feb 17 2026
    AI is supposed to reduce technical debt, but what if it’s actually making the problem worse? In this episode of Today in Tech, host Keith Shaw sits down with Gary Hoberman, Co-Founder of Unqork, and David Ferrucci, CTO of Unqork and former IBM Watson leader, to unpack how generative AI, low-code platforms, and “vibe coding” can quickly multiply hidden risk instead of eliminating complexity. They break down why digital transformation hasn’t solved tech debt, how AI-generated code can speed up architectural mistakes, and why governance, component reuse, and disciplined system design matter more than ever. Drawing on Gary’s experience managing global engineering organizations and Dave’s work building Watson for Jeopardy!, this conversation reveals what enterprise leaders must understand if they want to use AI without creating the next generation of legacy problems. Key topics include * Why tech debt keeps growing after modernization efforts * How AI coding tools can accidentally amplify bad architecture * The limits of low-code, no-code, and “citizen developer” platforms * Governance and guardrails for safe enterprise AI adoption * What the future holds for software development and AI-assisted teams
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    49 Min.
  • Why 2026 Could be the turning point for self-driving vehicles

    Why 2026 Could be the turning point for self-driving vehicles
    Feb 10 2026
    Are self-driving cars finally ready for everyday use, or is the hype still ahead of the reality? In this episode of Today in Tech, host Keith Shaw sits down with Edwin Olson, CEO and Founder of May Mobility, to break down where autonomous vehicles truly stand as we head into 2026. From AI reasoning models and real-world deployments to the challenges of weather, unpredictable human drivers, and scaling nationwide fleets, Olson shares what’s working, what isn’t, and what’s coming next for ride-hailing, public transit, and the future of car ownership.
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    39 Min.
  • Is the 2026 job market broken? AI, hiring and the trust problem

    Is the 2026 job market broken? AI, hiring and the trust problem
    Feb 3 2026
    Finding a job has never been more automated or more frustrating. Candidates feel ignored. Employers feel overwhelmed. Trust in the hiring process is breaking down. On this episode of Today in Tech, host Keith Shaw sits down with futurist Cliff Jurkiewicz of Phenom to unpack what is really broken in the 2026 job market. Is the problem the economy, or the way companies hire? They dig into AI-driven hiring tools, resume filtering, ghosting, unrealistic job requirements, flawed job descriptions, and why many companies are using AI incorrectly. The conversation also explores how candidates can adapt, how recruiters should rethink hiring, and what “human plus AI” work really looks like going forward. If you’re hiring, job hunting, or just trying to understand where work is headed next, this episode breaks down what needs to change before the system breaks even further.
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    45 Min.
  • The cancer breakthrough that saved his life — and could save thousands more

    The cancer breakthrough that saved his life — and could save thousands more
    Jan 27 2026
    This episode of Today in Tech is different. Instead of talking about enterprise software or cybersecurity, we step inside one man’s fight for survival — and the revolutionary medical technology that helped save his life. Keith Shaw is joined by Douglas Meijer (co-chairman, Meijer Inc.) and Dr. Brandon Mancini of BAMF Health to tell the astonishing story of how an often-overlooked cancer treatment called theranostics helped identify and target tumors that surgery and radiation couldn’t reach. After traveling overseas to receive life-saving care, Doug returned with a mission: bring this breakthrough to the United States so other patients wouldn’t have to leave the country for hope. In this deeply personal conversation, they explore: * What it feels like to receive a life-changing diagnosis * How precision medicine is replacing “one-size-fits-all” cancer treatments * Why theranostics acts like a guided missile against cancer — sparing healthy cells * How a new wave of AI is accelerating imaging, diagnosis, and personalized care * The barriers that still keep cutting-edge treatments out of reach for many patients * Why the future of cancer care may finally be shifting toward real cures This is a story about technology — but more importantly, it’s about hope, perseverance, and saving lives. If you or someone you love has faced cancer, this episode shows what’s now possible — and why the next decade could be the most hopeful in cancer treatment history. Learn more about theranostics and patient programs at bamfhealth.com.
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    32 Min.
  • How AI really remembers, and why agents will keep forgetting

    How AI really remembers, and why agents will keep forgetting
    Jan 20 2026
    Most people assume AI “remembers everything” — every chat, every command, every conversation. But that’s not how today’s systems actually work. On this episode of Today in Tech, Keith Shaw talks with Manifest AI CEO Jacob Buckman about how AI memory really works under the hood, why chatbots feel so different from humans, and what has to change for true long-running digital agents to become reality. Jacob explains concepts like short-term vs. long-term AI memory, context windows, KV caches, and “scratchpad” summaries in plain language. He uses analogies from medicine and the movie Memento to show why current AI tools can ace a single conversation but struggle to stay on task over hours, days, or projects. They also dig into hallucinations, why simply “making models bigger” isn’t enough, and how new architectures like power retention aim to give AI a more human-like ability to remember what actually matters over time. You’ll learn: * Why AI remembers everything inside a chat window but almost nothing between sessions * How today’s memory tricks (summaries, scratchpads, huge context windows) still fall short * How memory limits hold back reliable AI agents for coding, research, and creative work * Why better long-term memory could cut hallucinations and boost trust in business use cases * What “power retention” is — and how it could reshape the next generation of AI systems
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    42 Min.
  • Why every AI agent can be hacked

    Why every AI agent can be hacked
    Jan 13 2026
    AI agents are exploding across the enterprise—but security hasn’t caught up. In this episode of Today in Tech, host Keith Shaw talks with Michael Bargury, co-founder and CTO of Zenity, about why every AI agent is inherently vulnerable, how zero-click attacks work, and what companies must do now to reduce their risk. Bargury explains how attackers can hijack AI agents with simple persuasion, plant malicious “memories,” and silently exfiltrate sensitive data from tools like Microsoft Copilot, ChatGPT, Salesforce, and Cursor, often without users ever clicking on anything. You’ll learn: * Why AI agents are always vulnerable by design * How prompt injection = persuasion, not just a technical bug * What zero-click agent attacks look like in the real world * How attackers can weaponize shared docs, Jira tickets, and email automations * Why there is no such thing as a “fully secure” agent platform * Practical steps to monitor, contain, and manage AI agent risk Chapters 0:00 – Introduction, overview: Why every AI agent can be hacked 1:00 – First enterprise AI attack on Microsoft Copilot 3:15 – Systemic vulnerabilities and why things got worse 4:35 – Why agents are always gullible by design 6:10 – Prompt injection vs simple persuasion 8:00 – Zero-click attacks explained 10:30 – Hacking ChatGPT via Google Drive & shared docs 13:40 – Planting malicious “memories” in your AI 15:30 – The Cursor + Jira “apples” exploit for stealing secrets 20:10 – Thousands of exposed Copilot Studio agents on the internet 23:30 – Goal hijacking: convincing agents to change their mission 24:50 – Dumping Salesforce data via a customer-success agent 26:50 – Soft vs hard security boundaries for AI 28:15 – What vendors fixed—and what they can’t fix 31:10 – Why “secure AI platform” is a myth 33:30 – What enterprises must own in the shared responsibility model 36:20 – Treating agents like risky insiders to monitor 39:00 – How AI security needs to evolve next 40:57 – Closing thoughts
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    42 Min.
  • Why SMBs struggle with AI, but how they can also win

    Why SMBs struggle with AI, but how they can also win
    Dec 11 2025
    AI may be reshaping the enterprise world — but what about small and mid-sized businesses? In this episode of Today in Tech, host Keith Shaw speaks with Ed Keisling, Chief AI Officer at Progress Software, about the unique challenges and opportunities SMBs face when adopting AI. From limited budgets and data hurdles to the pitfalls of agentic hype and governance gaps, Ed explains how smaller companies can succeed by starting small, prioritizing outcomes, and enabling employees. Topics Covered: AI strategy differences: Enterprises vs SMBs Common mistakes SMBs make with AI Build vs. buy: Choosing the right AI tools Risk management, governance & explainability Realistic use cases and quick wins Agentic AI and the road ahead
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    35 Min.
  • Ambient agents are here: The next leap in enterprise AI automation

    Ambient agents are here: The next leap in enterprise AI automation
    Dec 9 2025
    Most companies are still learning how to use chatbots and copilots—but what happens when AI doesn’t wait for a prompt? In this episode of Today in Tech, host Keith Shaw speaks with Bhavin Shah, CEO of Moveworks, about the rise of ambient agents: AI tools that proactively take action across enterprise systems before users even know help is needed. Discover how these autonomous agents are redefining workflows, slashing IT response times, boosting compliance, and delivering real ROI, far beyond reactive chatbots or copilots. Key topics: What makes ambient agents different from traditional AI agents Real-world examples from IT, HR, and enterprise automation How enterprises can integrate agents with tools like Slack, ServiceNow, and Salesforce Why trust, privacy, and gradual adoption are critical The psychology of automation and user behavior When and where we’ll see ambient agents become mainstream Subscribe for more deep dives into generative AI, automation, and enterprise tech.
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    47 Min.