Mike, Chris Blask, Kate Scarcella, and Dan O’Brien (Futurum Group) unpack what IT leaders should focus on amid tariff chaos. Then, they dive into CoreWeave’s $9B buyout of Core Scientific—and what it means for the AI infrastructure race.

Plus, how the U.S. Treasury is turning up the heat on cybercriminals.

Alan, Mike, JP Morgenthal and Stephen Foskett, president of the Techstrong Field Day arm of Futurum Group, dive into an advance made by Apple that promises to make artificial intelligence (AI) coding tools more efficient before delving into how an AI advance from Microsoft might improve healthcare by more accurately diagnosing symptoms sooner.

Then the gang takes a look at some recent clean energy advancements that are being made at a time when the U.S. is preparing to roll back investment credits.

Alan, Mike, Jon, Ira Winkler, Chhaya Gunawat, and Lisa Martin (CMO Advisor, The Futurum Group) explore how open source—with help from Microsoft—is bringing needed transparency to AI tools that generate code.

They also break down the risks of AI search results being poisoned, and what it means for trust in generative systems.

Alan, Mike, Jon, and Garima Bajpai reflect on how artificial intelligence is reshaping our understanding of inalienable rights—just in time for Independence Day. They then unpack the DOJ’s massive $14.6 billion healthcare fraud case and ask: who should be held accountable?

Finally, the gang breaks down GitOps: what it is, why it’s catching on, and where it’s headed in the modern DevOps ecosystem.

Alan, Mike, Mitch, Chris Blask, Kate Scarcella, and Futurum Group analyst Guy Currier dive into the ethical and legal issues surrounding ICE’s use of facial recognition software to identify undocumented individuals. They then explore new deepfake legislation from Denmark and Ireland that bans AI-generated likenesses without consent.

Finally, the team tackles a big question in open source: Who should pay for the infrastructure that keeps it all running?

Alan, Mike, Mitch, Bonnie, JP Morgethal, Futurum Group president Dan O’Brien and Stephen Foskett, president of the Tech Field Day arm of The Futurum Group, dive into the terms of a settlement between the U.S. Department of Justice (DoJ) and Hewlett-Packard Enterprise (HPE) that will allow a $14 billion acquisition of Juniper Networks to proceed.

Then the gang takes a look at how much energy is being consumed by open source OpenTelemetry agent software that is being used to instrument applications before diving into a study from Microsoft that finds we’re all working too hard.

A new trade deal between the U.S. and China is making waves—especially for its impact on rare earth minerals. With America’s heavy reliance on China for these critical resources, this agreement raises big questions: Is this a step toward long-term stability or just a short-term fix? We break down the deal, its effect on U.S. dependency, and why developing domestic production and processing is more important than ever.

A recent court ruling permits AI companies to utilize legally purchased books for training, igniting debates on copyright law and ethics. The need for regulatory measures in AI development is emphasized to prevent potential misuse. Additionally, AI agents are being incorporated into CRM systems at no extra cost, disrupting traditional market practices. Concerns regarding social engineering risks in AI models highlight the necessity for governance and security protocols.

Alan, Mike, Jon, and Teri Robinson unpack HPE’s evolving role in AI, spotlighting its work with Nvidia and the rapid emergence of AI factories transforming development workflows.

AI is enhancing how developers code—boosting speed, precision, and efficiency. But alongside progress, the risks are rising. The team discusses the growing wave of AI-driven cyber threats, the misuse of tools by malicious actors, and the urgent need for stronger AI guardrails.

As the AI landscape evolves, HPE calls for proactive strategies to secure innovation at scale.

In this episode, Alan, Mike , Mitch and Chris Blask explore three key tech topics shaping the future of AI and autonomy.

The conversation kicks off with Google’s donation of the Agent-to-Agent (A2A) protocol to the Linux Foundation and a deeper look at how it compares to the Model Context Protocol. While A2A promotes interoperability between AI agents, concerns are raised around Google’s influence and the need for true open standards.

The gang also unpacks the competitive race in autonomous vehicles, delves into ethical challenges in human-machine interaction, and questions how AI systems can become more human-like without compromising trust or transparency.considerations, and the importance of human-like interaction with machines.