Pfender Marketing Co.

06/05/2026

Volume 02 of Notes from the Workbench is up.

While everyone argues about AI token spend, 30 to 50 percent of business budgets are sitting in unused SaaS subscriptions.

The overlap tax.

The fix is not "use less software."

https://www.linkedin.com/posts/pfender-marketing-co_every-company-is-token-maxxing-on-ai-right-activity-7468804913347768322-DMeV?

Every company is token-maxxing on AI right now. Most of their actual budget is leaking through SaaS subscriptions nobody uses. That is the overlap tax. Volume 02 of Notes from the Workbench.

06/04/2026

Three companies. Three trillion-dollar listings. One summer.

-SpaceX: $1.77 trillion - debuting June 12
-Anthropic (Claude): $965 billion - S-1 filed this week
-OpenAI: $852 billion - targeting September

That is $3.6 trillion in capital betting that AI infrastructure is the defining platform of the next decade.

Here is what nobody is saying about what it means for marketers:

The moat is not gone. It just moved.

A year ago the advantage was access - who had the tools. That gap is closed.

Every marketer now has the same models, the same APIs, the same
generation capability.

The new moat is judgment. Knowing what to build, what to connect, and what to leave alone.

The trillion-dollar companies build the infrastructure. The businesses that win are the ones that deploy it correctly against a real funnel with real data.

That is the gap I work in.

If you want the operator-level breakdown of what this shift actually means for your marketing stack - not the hype, the mechanics - I write about it every month.

Join my list at the link below.

The operating system for independent businesses. CRM, pipeline, tasks, invoices, scheduling, and automation - all in one place.

06/03/2026

The conversation has shifted.

It used to be "should we use AI." Now it is "do we hire another person or grow the AI budget."

Those are not the same question, and a lot of teams are finding that out when the token bill lands.

Uber's CTO burned through their full-year AI budget by spring. Meta cut 8,000 roles to fund model investments. Average AI spend per employee hit $2,068 in 2026, up 50% year over year.

The companies getting crushed are the ones running everything on frontier models for everything.

The ones building well are routing by task - plan and architect in the most capable model, execute in the mid-tier, run mechanical work in the fast cheap model. Same output. A fraction of the cost.

I wrote a full breakdown of how the math actually works, which myths about AI pricing are costing people money, and the routing playbook I use across every project.

Link in the comments.

06/02/2026

The barrier to entry for marketing dropped to basically zero in 2026.

Anyone can spin up a website, run a campaign, write content, and build a funnel. The tools are cheap and the AI does most of the production work.
That's the problem.

When everyone can do it, the market fills up with people who look capable but aren't. The output looks right. The strategy is off. The funnel leaks. And the client has no idea why nothing is compounding.

The operators who are winning right now aren't the ones using AI. They're the ones who know what good actually looks like - and use AI to close the gap between that standard and what they can ship in a day.

I wrote about where I think the market actually stands in 2026. Link in the comments.

06/01/2026

There has never been a better time in human history to start a business.

One person with the right stack can do what used to take a team.

That window is open right now, and I am genuinely honored to be building inside it.

Pfender Marketing Co. is live.

AI-augmented full-funnel marketing and CRM installations for founder-led businesses.

The first 90 days are documented. What shipped, what it cost, and how I’m doing it.

Link in the comments.

06/01/2026

Here's the honest version of why I work the way I do.

An agency builds a team because clients expect a team. A solo operator builds leverage because the work demands it.

The difference isn't scale - it's accountability. When you work with PMC, the person who did the strategy is the person who built the site, set up the ads, and configured the CRM. There's no handoff.

There's no account pod. One person holds the whole picture.

I wrote about why that model actually produces better work for a certain type of client - and where it breaks down.

Why a single accountable operator with AI leverage now beats the agency pod model for most small and mid-size marketing work, and where an agency still wins.

06/01/2026

Marketing changed the day AI did. It didn't replace the marketer -it removed the excuse.

You can now produce more content, run more tests, and monitor more channels than any agency team could five years ago. The problem is that everyone has access to the same tools, which means the floor got higher and the ceiling stayed the same.

The operators pulling ahead aren't the ones using AI the most. They're the ones using it for the right layer of the work - and still doing the judgment calls themselves.

I wrote a full piece on what the marketing landscape actually looks like in 2026, what's working, and what the noise is covering up.

pfendermarketing.com/blog/state-of-marketing-2026

AI made marketing accessible to everyone and flooded it with average. Here is the honest 2026 picture and how to tell real capability from the imitation.

06/01/2026

52.7% of purchased SaaS licenses go unused.

The average company runs 106 applications. The average waste at companies under 200 employees is 34% of their total software budget.

Those numbers are from Zylo, BetterCloud, and Cledara -primary source research I compiled for a post on what the overlap tax actually costs, broken down by company size and vertical.

The PMC audit starts with the software stack because it's the fastest path to recoverable budget. Most engagements find $400-$1,200/month in the first 30 days without cutting a single capability.

The full data breakdown is on the blog.

pfendermarketing.com/blog/software-overlap-tax-data

52.7% of purchased SaaS licenses go unused. Here is the research behind the overlap tax - real numbers from Zylo, Gartner, BetterCloud, and Cledara on software waste by company size and vertical.

06/01/2026

In the first 90 days building PMC, I shipped a SaaS CRM, launched an iOS install campaign that beat category benchmarks, and built a four-client book while intentionally overdelivering on every engagement.

I've been sitting on the full breakdown for three weeks. Revenue, AI tooling costs, what actually compounded, and the part of this model nobody puts in the pitch deck.
It's up on the PMC blog now.

pfendermarketing.com/blog/ai-augmented-solo-operator-model-90-days

I shipped a SaaS CRM, ran an iOS install campaign at 1.8x category CTR, and built a four-client book. Here is the stack, the model, and the honest cost.