The AI Riff

What if your AI could tell you exactly where your company is wasting money, who's working smarter, and which processes need fixing?

Anthropic is taking a step toward that future with new Claude Enterprise features that analyze AI usage, uncover best practices, and help businesses measure productivity. But can AI really calculate its own ROI, especially when the company measuring the value is also selling you the technology?

In Episode 2.7 of The AI Riff, Mario, Rob, Kyle, and Mike explore whether AI could replace management consultants, why building software faster might actually create more waste, and how businesses can distinguish real productivity gains from simply doing more work.

If you're investing in AI, this conversation could change how you measure success, prioritize projects, and decide where to spend your next dollar. Because the companies that win with AI won't necessarily be the ones using it the most. They'll be the ones who know which work is actually worth doing.

What happens when AI becomes so productive that humans can’t keep up? And what happens when the people responsible for overseeing AI no longer understand the work it’s doing?

In this episode of The AI Riff, Kyle, Rob, Mario, and Mike tackle five emerging AI challenges that were predicted to be years away but are already becoming reality. From AI agents waiting on human approvals and overwhelming teams with output to rising AI costs, disappearing entry-level jobs, and the erosion of human expertise, the conversation raises a critical question: Are we gaining productivity at the expense of control? The team explores the growing risks of AI governance, automation, and decision fatigue—and why the biggest threat to businesses may not be AI making mistakes, but humans losing the ability to catch them.

What happens when AI makes it possible to rebuild the software you’ve been paying for—and gives customers a way out?

On this episode of The AI Rift, Kyle Meyers, Rob Katz, and Mario DiBenedetto explore how AI-powered development is challenging the traditional software business model. From Adobe’s controversial subscription practices to AI-generated alternatives to Microsoft Office, the conversation examines how quickly loyal customers can become competitors’ customers—and why open-source tools and “vibe coding” could reshape the industry. But is AI really killing software, or just the way software companies do business? The hosts dig into the critical difference between building software and maintaining it, why complex, highly regulated industries like mortgage lending may be more insulated, and how AI could finally put pressure on vendors that have taken customers for granted. Plus, a practical example of using AI to make healthcare open enrollment far less painful.

AI agents promise to take busywork off our plates—but what happens when convenience means handing over your inbox, credit cards, and personal identity?

On this episode of The AI Riff, Kyle, Rob, and Mario dig into the rise of AI agents like Meta’s Muse, ChatGPT’s Dot, and Grok’s Grokbot, exploring what these tools can actually do, where trust breaks down, and why giving AI access to your digital life could be a bigger gamble than it seems. Could your helpful AI assistant become a “corrupt butler,” steering purchases toward whoever pays the highest commission? And as AI agents reshape how people shop, search, and make decisions, what will businesses need to do to get recommended by them? The future of AI automation is here—but is it ready for your trust?

AI token costs are falling fast, but does that mean AI is actually becoming cheaper for businesses and consumers? In this episode of The AI Riff, the hosts unpack the surprising drop in AI token pricing and explore what's really driving it—from competition between OpenAI, Anthropic, DeepSeek, and open-source models to the growing pressure on AI companies to find sustainable business models.

The conversation goes beyond pricing to examine a bigger question: when technology becomes more affordable, does adoption naturally explode? The team debates AI's return on investment, the hidden costs of implementation, the challenges of organizational change management, and whether AI tokens could someday influence global economics the way commodities like oil do. Along the way, they discuss model selection, enterprise AI strategy, and why the biggest barrier to AI adoption may not be cost at all—it may be change itself.

What happens when one of the world's most AI-obsessed companies tries to replace people before it fully understands the consequences? In this episode of The AI Rift, the team unpacks Meta’s decision to pause additional AI-driven layoffs after discovering that more AI output didn’t automatically translate into more customer value. A 220% surge in code changes sounds impressive—until humans are spending even more time cleaning up the results.

The conversation explores a critical question facing every business right now: Is AI eliminating work, or simply moving the bottleneck somewhere else? From software development and marketing to physical therapy and the future of coding itself, the hosts examine where AI is creating real leverage, where leaders are getting it wrong, and why “fire first, automate later” may be the most expensive mistake companies can make. Essential listening for executives, operators, technologists, and anyone navigating AI-driven change.

A growing number of AI insiders are sounding the alarm—and this episode asks whether they’re seeing real danger or simply reacting to technology moving faster than anyone can control. The hosts unpack why leading AI companies are suddenly calling for regulation, what recent reports of AI “breakouts” actually mean, and whether fears of human extinction are distracting us from a more immediate threat: economic disruption.

From cybersecurity risks and AI-powered attacks to the disappearance of entry-level jobs, the conversation explores what happens when productivity surges faster than society can adapt. They also tackle provocative questions around AI regulation, robot taxes, AGI, and whether the race for power—not profit—is what’s truly driving the industry. For business leaders, technologists, and anyone trying to separate AI fact from fiction, this is a candid look at what may be coming next.

A German court just delivered a warning shot to every company deploying AI: if your AI gives bad information, you may be the one on the hook. In this episode, the AI Rift team unpacks the landmark ruling against Google over inaccurate AI-generated search summaries and explores what it means for lenders, technology vendors, and any business putting AI in front of customers.

The conversation dives into AI liability, governance, hallucinations, compliance risk, and the uncomfortable reality that AI can scale mistakes faster than any human team ever could. They tackle a provocative question: if you're not willing to legally stand behind every answer your AI gives, should you be using it at all? A must-listen for leaders navigating AI adoption in highly regulated industries.

What if every piece of AI-generated content carried an invisible fingerprint—and what if that fingerprint followed it long after a human edited it?

In Episode 59 of The AI Riff, the team unpacks Anthropic’s new AI watermarking approach and the broader implications of emerging EU regulations. The conversation moves beyond the technology itself into a deeper debate about transparency, accountability, privacy, and trust. Should AI-assisted content be disclosed? Where’s the line between AI-generated and human-created work? And in highly regulated industries like lending, could watermarking become a powerful audit tool—or an unnecessary intrusion into how professionals use technology? From loan officer communications and underwriting scenarios to education, copyright, and regulatory overreach, this episode explores one of the most important questions in AI right now: when does a tool become part of the work itself?

Everyone is chasing better AI models—but what if the biggest opportunity is deciding which model to use in the first place? This week, the team unpacks the rumored multi-billion-dollar push into AI routing and why companies like Stripe see it as the next critical layer of the AI economy.

From cutting AI costs by intelligently switching between models to the emergence of "router wars," the conversation explores whether AI routers will become as essential as payment processors—and whether frontier AI companies will eventually fight back. If you're building AI products, leading a business, or trying to understand where enterprise AI is headed, this episode reveals why the future may belong not to the best model, but to the smartest way of using them.