I have spent the last twenty years of my life in the SaaS trenches. I love this industry. I love the expansion revenue, the predictable seat counts, and the way software used to solve every problem by adding more humans to a platform. I have seen the SaaS 1.0 era turn into a gold rush, and I have benefited from every bit of it.

Because I invest in what I know, a massive portion of my net worth is tied up in private and public tech. I want the party to continue. I want to believe that land and expand is a law of nature and that the desk-bound corporation is a permanent fixture of the economy.

But the last twelve months have been brutal.

I am seeing a structural fracture that no amount of optimism can paper over. The music is not just slowing down. As of March 2026, the needle is skipping across the record. We are moving from a world of software hosting work to a world of AI doing work, and that shift is a localized extinction event for the traditional per-seat license.

When you sit where I sit, you have two choices. You can double down on the last castles of the old guard, or you can recognize that the walls are thinning.

The Three-Front Attack

The market is currently sniffing out a reality that has not hit the mainstream consensus yet. The SaaS model—the foundation of the modern tech portfolio—is facing a coordinated collapse of its primary growth levers:

The Death of New Revenue: New ventures today are not hiring forty people after a Series A. They are hiring four Alphas and architecting forty agents. The new logo math for SaaS has fundamentally changed.

The Evaporation of Expansion: You cannot expand into a department that is actively being automated. The historical 120 percent net retention rates were built on the assumption of human headcount growth. That assumption is now a liability.

The Seat Churn Crisis: As companies fight to keep their revenue per employee above the 250,000 dollar uninvestable line, they are cutting the very humans that justify the software seats.

We have already seen the casualties. Atlassian is down nearly 70 percent from its highs, trading near 70 dollars. Salesforce has seen a 30 percent compression as the market realizes the manual BDR is an endangered species.

These are not just bad quarters. They are the early tremors of a total tectonic shift. And the job numbers for recent college grads support the cause for concern.

The Reorg Signal: Why Microsoft is Next

Microsoft remains the last castle because the market believes it is too big, too integrated, and too infra-heavy to fail. They think Azure will save the Office seat decay. But history teaches us that you do not reorganize a winning team.

In a move that mirrors the panic reorgs I have seen in failing startups, Microsoft just shifted Mustafa Suleyman—the high-profile lead of their AI and Copilot division—away from the product front. As of last week, he has been moved back into the research lab to focus on models and superintelligence. Jacob Andreou has been tapped to lead a unified Copilot team.

You do not reorg when a company is working. I have never been a part of a leadership shuffle of this magnitude where there was not some core issue or existential threat. Moving your AI heavyweight away from the core revenue driver is a quiet admission that the Copilot as a seat-premium strategy is hitting a massive wall of friction.

Microsoft 365 seat growth has stagnated at roughly 6 percent. Their attempt to force a 30 dollar premium on a workforce that is actively shrinking is a bet against gravity.

The End of the Desk

The consensus is that Microsoft is the safe haven. I believe it is the final domino.

The SaaS Era (2006–2024)	The Agentic Era (2026+)
Scaling = More Headcount	Scaling = More Compute
Valuation = Seat Count	Valuation = Revenue Per Employee
Success = “Hosting” Work	Success = “Doing” Work
Microsoft = The Foundation	Microsoft = The Last Bottleneck

I hate that we are here. My portfolio would be much healthier if we had another decade of the seat-count era. But the GTM Engineer and the Alpha Mind are the new architects of demand, and they do not need fifty seats of Excel to build a dynasty. They need high-leverage systems that route around the legacy bloat.

Microsoft is a bet on the bureaucratic corporation. It is a bet that the desk—the central unit of value for the last century—is still strong.

The market is still pretending the office is full, and getting fuller. At best the office stays the same size, at worst companies like Microsoft lose 50% of it’s seat licenses over the next 5 years.

Software used to be hard. We paid Alpha Engineers like professional athletes because they were the only ones who could turn a vision into a functional machine. For a decade, the legacy software engineer was the most expensive line item on the P&L.

Google famously paid Principal Engineer Zach Lloyd a retention package so lucrative he could have comfortably retired in 2013. Meta once offered a $100 million package to a single engineer just to prevent them from moving to a competitor. We did not do it because it was fair. We did it because engineering was the bottleneck.

That world is ending. We are witnessing a massive correction of a decade-long imbalance.

Former Facebook CTO Bret Taylor has noted that we are moving away from the era where writing code is the primary value driver. In the old world, a great engineer was paid five times more than a great marketer.

Today, even seasoned coders are seeing their jobs in less demand. As of March 2026, entry-level engineering roles have seen a 40 percent drop in job postings compared to 2024. As the cost of production drops toward zero, the cost of distribution and business strategy goes to infinity.

The bottleneck has shifted from building the platform to building the demand.

The Shift in Value

The GTM Engineer is not a traditional marketer. The traditional marketing leader was a manager of humans. They spent their days hiring, delegating, and resolving interpersonal friction. Their success was measured by the size of their headcount. They managed coordination loops where a strategy was handed to a manager, who handed it to a specialist, who eventually produced an asset. It was a slow, expensive, and fragile way to scale.

The GTM Engineer is the highest-paid marketer because they do not manage humans. They architect systems. They are responsible for the plumbing and the pipes of the organization. They build the system first. They design the logic and the data flow before they ever think about a hire.

I am seeing this shift in my conversations every day. We are currently getting the math wrong. We are used to paying a product marketer $150,000 to write blogs and build case studies that an AI agent can now do in seconds. Meanwhile, we hesitate to pay $300,000 or even $500,000 for a GTM Engineer.

When one person can replace entire roles in a week by architecting the right system, you are talking about millions in value add for a single individual. We paid engineers because they built the platform; we must pay GTM Engineers because they build the demand.

Old Bottlenecks vs. New Reality

Old Bottlenecks (Legacy Tech)	New Bottlenecks (AI Era)
Building a new platform	Pricing and packaging the platform
Hiring a website designer	Getting the first 10,000 users
Writing sales & marketing content	Solving complex attribution
Developing a new feature	Optimizing the GTM funnel

The GTM Engineer follows a rigid hierarchy of execution:

• Build AI First: They architect the solution using agentic workflows and autonomous systems. If an agent can do it, a human should not touch it.
• Try Second: They iterate on the system until it breaks or reaches its limit.
• Resort to Human Last: Only after failing multiple times to automate a process do they resort to hiring a human.

In 2026, the GTM Engineer is ten times more in demand than the traditional CMO. They solve the only problem that remains: making the product matter in a world of infinite noise. When the cost of building software is near zero, the bottleneck shifts to the market.

If you are a legacy engineer waiting for a Jira ticket, you are obsolete. If you are a marketer who cannot build an agentic workflow, you are invisible. Hire for the bottlenecks. In 2026, that is not a traditional marketer. It is the architect of demand.

The future belongs to the builders who understand that the code is just the beginning. The real work is making it win.

We were halfway to San Antonio yesterday when I realized I had not looked at a single Yelp review or scrolled through a TripAdvisor list. Usually, planning a spring break trip out of Dallas is a week of open tabs and second-guessing.

This time, I let Gemini handle the architecture. It chose a specific cabin at Rough Creek Lodge, mapped out UTV trails on the 9,000-acre ranch, and even timed our Tesla charging stops in Marble Falls at Blue Bonnet Cafe nearby. It told us to stop in Hamilton and try Woody’s Hamburgers two blocks from the Tesla charger, because of it’s “In-n-out vibes” and Dublin sodas.

LLMs don’t hand us results to sift through, it hands us a finished experience.

We are witnessing the end of “top 10” lists. The end of bronze medals for businesses that aren’t the top choice.

And yet most businesses are not #1 in their industry. By very definition 100% of your competitors can’t be #1 if you are first. That’s why it’s been “ok” up to this point to have a brand that is just about being present. Being present somewhere at events, being present on some result somewhere on Google, being present on social media. Not winning, not being #1, being “visible” online.

In 2026, curiosity has been replaced by the Answer. The leaderboard has not just shrunk; it has collapsed. We have shifted into a world that is Gold, Silver, or Invisible. If you are not the definitive #1 or #2 choice for a specific need, you effectively do not exist.

This is the end of the middle. There are no more Bronze medals.

The data from March 2026 is clear. Nearly 60% of decisions are now influenced by AI. You do not just lose market share by being third; you stop existing in the consumer’s consciousness.

This comes back to culture. It’s funny how the old things are new again? So many companies got away with Bronze medal cultures. Bronze medal teams. Bronze medal leaders. Not the best, but not the worst. They were “ok” and that was fine. No point in chasing Gold when Bronze got it done.

Today it’s different. You need a culture of chasing for the Gold. You need people who view the mission as their own skin in the game. In 2026, the complexity of agentic systems means that a part-time mind will never catch a full-time architect.

For many businesses, that likely means you need less managers, but with more commitment from each one. This also means for every agency, contractor, vendor, you better be sure of the value they provide vs. the trade of being “one of many” things they are care about.

In a “Winner-Take-All” AI economy, the only defensible moat is proprietary institutional context. Transitioning from external agencies to internal FTEs is no longer just a culture play, it is a mandatory move to capture the massive productivity margins and velocity gains that AI now offers.

A simple analysis outlines the strategic trade-offs between talent models. While agencies and contractors provide temporary elasticity, they represent a “leaky bucket” for your company’s intellectual capital and speed.

In the current landscape, every hour outsourced is a missed opportunity to train your internal systems and compound your organizational intelligence.

Employees vs. Contractors vs. Agencies

Feature	Full-Time Employees	Independent Contractors	Agencies
Mission Alignment	High. Owners of the “Why.” Driven by equity and long-term vision.	Low. Task-oriented. Driven by the next contract.	Zero. Profit-oriented. Driven by their own firm’s margins.
AI Integration	Seamless. Prompt engineering is applied to your proprietary data/context.	Fragmented. AI efficiencies benefit their personal workflow, not your org.	Extractive. They use AI to lower their costs while charging you the premium.
IP & Knowledge	Compounding. Stays within the “brain trust.”	Transient. Walks out the door when the project ends.	Leaky. Best practices learned on your dime are sold to your competitors.
Culture Impact	Foundational. Builds the “Tribe” and shared language.	Neutral. Often treated as “other,” creating a two-tier social class.	Disruptive. Often ignores internal norms to force their own processes.
Velocity	High (Long-term). Minimal friction in communication and hand-offs.	Medium. Restricted by specific SOW boundaries.	Low. Burdened by account management and “meeting theater.”

The move toward an FTE-heavy model is a strategic capture of the “AI Margin” that agencies currently arbitrage. As the cost of execution collapses through automation, paying an agency for labor is paying for overhead you no longer need.

By owning these roles, you ensure that your unique business context is codified within your own team, creating a compounding advantage in speed and innovation. This isn’t just about reducing headcount costs, it’s about owning the engine of growth rather than renting it from outsiders who do not share your risks or your ultimate rewards.

The companies winning right now are not hiring for roles. They are hiring for ownership. They are building tribes that refuse to lose because their identity is tied to the result.

When the AI models look for the definitive choice, they find the brands built by people who stayed in the room when it got hard. You either build a culture of owners or you prepare to be forgotten.

I have managed hundreds of people over my career. The companies I’ve worked for have had nearly 100,000 employees combined. I know corporate, I know startups, mostly, I just know people.

I know the weight of that responsibility. I know the late nights spent worrying about career paths, interpersonal friction, and the general health of a large organization. It is a role built on empathy and coordination. However, the fundamental nature of that work has shifted in a way that we can no longer ignore.

In 2025, we talked about high performers being 10 times more valuable than the average employee. By 2026, that gap has widened to 100 times. This is not hyperbole. It is a mathematical reality driven by the shift from human capital to agentic systems.

We are witnessing the end of management as a coordination layer. When I say “management” I am talking about the idea that executives exist to manage people, their emotions, their expectations, and their games.

For decades, middle management was the glue. These were the people who translated strategy into tasks. They could be “fake” and bring drama into the workplace.

They were the essential filter between the vision and the execution. Today, that filter has become a bottleneck. Data from early 2026 indicates that 70 percent of traditional coordination tasks are now handled by autonomous agents. Scheduling, status updates, and resource allocation no longer require a human translator.

Now, before you push back because legacy companies aren’t even using AI yet, I’m not talking about laggards. I’m using early adopters as a predictor of where things are going. As long as you are ok living a few years in the future, read on.

So, back to the mandate I’m seeing more and more each day. It’s about building systems not managing people.

Let me say that again, the new mandate for leadership is not to manage people. It is to architect systems. Companies like Listen Labs are already setting the standard by refusing to hire non-technical staff. It does not matter if the role is in sales or design.

Every hire must be a builder. Their BDRs are not just making calls. They are building the AI agents that automate their own lead generation and deal creation. They have moved from being supervisors to being architects.

This shift feels brutal, but it is actually about clarity. The CEO Genome Project, a ten-year study of 17,000 executives, found that high-performing leaders are twelve times more likely to succeed because they are decisive.

They do not wait for consensus. In a world of agentic workflows, consensus is often just a polite word for stagnation. If you are waiting for a technical support team to validate an idea or a designer to build a prototype, you are a passenger. In a world where agents can build and iterate in minutes, waiting for a human translator is a competitive disadvantage.

Think of the scene in Apollo 13 where the engineers dump a box of parts on a table. They have to fit a square peg in a round hole with only what is in front of them. The managers are the ones looking for a requisition form to buy a new filter. The builders are the ones grabbing the duct tape. In 2026, if you are not grabbing the tape, you are taking up oxygen.

Transitioning people out is the hardest part of the job. I have been in that seat. It feels like a failure of the culture you worked so hard to build. But keeping a passenger on a ship that requires every hand on a tool is a failure to the mission.

You cannot manage your way through an AI revolution. You have to build your way through it. If your team is waiting for technical support to start, you have already lost. The future belongs to the architects who can look at a box of parts and build a solution before the clock runs out.