The Complete Feed

A family vacation in the Dominican Republic becomes a reflection on technology, careers, and the hidden cost of familiarity. Mike Vicenzino explores why our favorite tools, habits, and workflows shouldn’t simply be inherited—they should continually earn their place. In a world changing faster than ever, comfort may be a floor, but it should never become a ceiling.

AI won't just eliminate managers—it will collapse entire categories of work. As AI absorbs research, analysis, coding, design, and coordination tasks, the value of specialization declines while the value of judgment rises. The winners won't be the people who know the most, but those who can combine experience, context, and AI into unprecedented leverage. The real challenge isn't replacing workers—it's figuring out how the next generation gains the experience needed to become

As AI leaders envision a future of abundance powered by “machines of loving grace,” an older warning feels newly relevant. Drawing on E.M. Forster’s The Machine Stops, this essay explores a question that receives surprisingly little attention: What happens when humans outsource not just labor, but memory, judgment, creativity, and thinking itself? The most important question about AI may not be what machines become—but what humans become in response.

The MarTech Stack was built for a world where humans operated software manually. But AI agents don’t navigate dashboards, workflows, and software categories the way people do — they orchestrate systems. As AI collapses the boundaries between Martech, AdTech, data infrastructure, and workflow automation, the industry is shifting away from disconnected stacks of tools and toward integrated Marketing Operating Systems built around context, orchestration, identity, and intelligen

As AI-driven advertising shifts from cookies and IDs to embeddings and vectors, many in AdTech are treating abstraction as a privacy loophole. In this Signal & Noise Executive Voices piece, Evgeny Popov argues that embeddings do not eliminate GDPR risk — they simply move it into a more opaque layer of the system. The architecture changed. The regulatory reality did not.

Advertising is coming to AI, but it may not reshape the industry in the way many expect. In this article, Rio Longacre examines the fierce debate between skeptics, optimists, and purists, arguing that ads will become a significant revenue stream for AI platforms like OpenAI, Anthropic, and Gemini. The key insight: unlike Google Search, these companies already generate extraordinary subscription and enterprise revenue, making advertising highly valuable—but ultimately incremen

The content supply chain is entering its AI moment—but most organizations aren’t ready. This piece breaks down how agentic systems are transforming content creation, orchestration, and activation, shifting from manual workflows to intelligent, end-to-end pipelines. The winners won’t just use AI—they’ll redesign how content flows from idea to impact.

Connected TV is increasingly being sold as though it should perform like Google and Meta. But television was never designed to capture intent in the moment. Its power lies in building familiarity, emotional resonance, and mental availability over time. In this essay, David Nyurenberg argues that forcing CTV into performance marketing frameworks misunderstands what makes television uniquely valuable—and risks undermining the very qualities that make it effective.

What happens when AI stops being a tool and starts redefining work? In this Signal & Noise episode, Brett House and Rio Longacre speak with Jennifer Borchardt on how AI is reshaping jobs, careers, and identity. They explore the decline of specialization, the rise of “hyphenate” workers, and the risks of inequality as AI transforms the labor economy and challenges the future of purpose.

We’re entering a post-labor economy where value shifts from human effort to compute ownership. As AI becomes the operating environment—not just a tool—the real work moves from creation to verification. Specialists give way to “hyphenate” orchestrators who audit, guide, and stress-test intelligent systems. In this world, resilience—not productivity—is the metric that defines winners.

Recorded live at POSSIBLE 2026 in Miami, this Signal & Noise episode features top leaders in advertising, media, data, and AI. Through rapid interviews, experts explore AI monetization, CTV, ad quality, creator ecosystems, and brand trust. Key takeaway: innovation isn’t the problem—execution is. Watch full interviews on YouTube.

After years of digital overload and AI-generated noise, B2B is snapping back to what actually builds trust: real human interaction. This piece explores the rise of the “IRL Era,” where influence flows through communities, practitioners, and in-person experiences—not funnels, forms, or automation—and why companies that show up will win.

Who wins and who loses when media buying goes agentic? AdCP isn’t just a new protocol—it’s a shift in where media decisions happen. As allocation moves upstream from auctions to agent-driven negotiation, DSPs, SSPs, publishers, and agencies all face structural disruption. This isn’t about better automation. It’s about control—and a fundamental reshaping of how the market operates.

Mike Vincenzino shares the story behind building Kindora, a family operating system inspired by caring for his mother with dementia. This piece reframes caregiving as a systems problem—and argues that while we’ve built powerful tools for companies, families are still left managing chaos with fragmented, inadequate tech.

The old martech stack is not just messy. It is starting to get in the way. In this GTM Slop piece, Brett House breaks down Scott Brinker’s new report on the AI-era martech stack and explains why the shift from rigid stacks to composable systems matters for speed, integration, data, and growth. The real advantage will not come from buying more tools. It will come from building a growth system that moves faster, decides better, and executes with less friction.

UX isn’t being redesigned—it’s being replaced. As AI shifts systems from navigation to action, interfaces fade and design moves upstream. This piece explores the collapse of traditional UX, the rise of agentic systems, and why the future of design is about orchestrating outcomes—not building screens.

What if your next biggest competitor is not another vendor, but Claude Code deciding your category does not need to be bought at all? This piece looks at how coding agents are starting to shape technical vendor selection, why that changes GTM, and what B2B software and AI companies need to do now to avoid getting bypassed before a salesperson ever gets involved.

The agency model is splitting. Some holdcos are evolving into integrated operating companies built on data, platforms, and AI. Others remain loosely connected portfolios of services. As media becomes automated and margins compress, the winners will be those who own the infrastructure behind marketing — not just the execution in front of it.

The Shift: The most valuable skill in 2026 isn’t writing code — it’s describing what you want clearly enough that AI can build it for you. The Proof: MIT named “generative coding” one of its 10 Breakthrough Technologies of 2026. AI now writes 30% of Microsoft’s code and over 25% of Google’s. The Catch: The “just vibe it” takes are dangerously incomplete. The real skill behind AI-assisted building is something nobody’s talking about — and it’s something you can learn.

Part 2 of this series. If you haven’t watched Part 1, start there for the core framework on aligning GTM and CX as one operating system. In this episode, we look at real-world examples of companies that either connect—or fracture—GTM and customer experience. We reference operator-driven clarity at DoubleVerify, premium ecosystem consistency at Apple, channel fragmentation in Auto, mature orchestration at Flywheel, and competitive GTM tempo from OpenAI. We also touch on Servic