Visionary Digital Evolution Strategist
Rooted in Formula 1 excellence, with over 30 years in IT starting as a child in the 1980s, โฆ

Why buying hype talent backfires, and what F1 can teach us about building mastery.
Hey there, digital warriors! โ๏ธ Last weekโs episode cracked open a tough truth: AI can accelerate delivery, but it can also quietly kill engineering culture, product thinking, and mastery. If you missed that story, go check it out. Because this week, weโre taking it further into the madness.
Sean Smith started with one missing word: apprenticeship.
That sacred space where knowledge is transferred, trust is built, and mastery is earned. And yet, in 2025, most tech companies would rather burn $1M on a hype-hire than invest in a learning culture.
“If you pay an AI engineer one million to bring their brain into your company, are they a scientist or a mercenary?” - Mike, Forge of Unicorns EP66
Thatโs not fiction. Thatโs happening. Right now. Across companies who laid off thousands just to afford the mercenaries they hope will hallucinate value.
But tech per se does nothing. And behavior, once again, explains everything.
In 2025, over 510 tech workers are laid off every single day. Thatโs one person losing their job every 3 minutes. And while engineers with 10+ years of experience are refreshing LinkedIn, getting rejection after rejection, companies are paying $1M salaries to hype-fueled AI profiles.
They’re not hiring mastery. They’re buying hope.
“The average org hires hype-driven profiles from the market, providing them a lot of cash, hoping they will bring their skills to the company. Unfortunately, this toxic mercenary business model is a silent company killer.”
This is the AI mercenary model: hire brilliant individuals, drop them into collapsing companies, and expect magic. No context. No alignment. No continuity. Just compensation packages and chaos, until the next leap for a greater bonus package.
And this time, it’s burning billions. But more importantly, itโs funding a tsunami of layoffs to sustain the hallucination. Meta alone, with their Superintelligence team, is reporting investing $60B in AI. $400โ450M per year is reserved just for talent compensation. The same company laid off over 25,000 people to fuel this so-called performance-based hiring directive.
Meanwhile, the gold rush for AGI is driving costs through the roof: $80B at Microsoft, $75B at Google, $100B at Amazon. All while the old workforce is gutted, training frozen, and internal excellence ignored.
Welcome to capitalism in 2025: fire your ๐ฆตcrafters, hire your ๐ค hype.
Letโs start with the punchline from one of the latest reports:
Certified Scrum Masters now outnumber Scrum Developers 10 to 1.
Itโs not funny at all; it’s a deep sign of market dysfunction.

Weโve memed ourselves into absurdity: โTen Scrum Masters with megaphones shouting at the unique guy paddling.โ
The frameworks ate the engineers. The market erased critical thinking. Leadership? Buried under slide decks and certifications. Agileโข became Theranos in a hoodie. A subscription model for false hope. And the outcome?
Culture theater. Millions spent. Nothing delivered. Our best people burned out or gone.
So, when companies today say, โAI will transform everythingโฆโ, shall we stop for a second and ask ourselves if we learn anything from the punches in the faces organizations got from Agile, DevOps, and Scaled Agile?
What I’m showing in this deep dive isnโt just bad hiring anymore. Or lack of awareness, or worse, CXO incompetence. It’s way bigger. Itโs industrialized incompetence: marketed, monetized, and scaled.
And now weโre throwing billions at a neurological black box, pretending itโs just a matter of compute power. Sam Altman recently said:
โA significant fraction of Earthโs total electricity should go to running AI.โ
๐ณ Read that again.
Instead of decoding consciousness through science, weโre brute-forcing it with servers led by teams of computer science grads trying to simulate something neuroscience hasnโt even explained.
Letโs be real: We canโt recreate what we havenโt even defined.
We still donโt understand how trauma rewires memory. We donโt know why neuroplasticity degenerates. We havenโt decoded consciousness; let alone encoded it. Yet somehow we believe that a few billion dollars and Python scripts will do what Nobel-level neuroscience canโt?
You canโt simulate emotional logic with token prediction. You canโt code fear, desire, or rage into an LLM prompt.
What are we actually building?
A fragile, hallucination-prone system. Good enough to automate chores. Useful for low-stakes tasks. But still too incompetent to truly reshape how humans work at scale. And if we force it anyway? The outcome is already visible.
According to recent MIT studies, heavy dependence on AI tools leads to measurable cognitive decline, decision-making worsens, reasoning weakens, judgment erodes.
Even in traditional industry, after 40 years of robotics, weโve never reached full automation. We didnโt replace humans. We designed hybrid systems, where people still handle the most complex, mission-critical tasks.
So why should digital be different? It wonโt.
Just like Agileโข, the AI transformation bubble will burst. Because transformation isnโt technical. Itโs behavioral.
๐ค So what does work?
This is where Sean Smith dropped the hammer: Apprenticeship. Social fit. Mastery over time.
โYou donโt scale transformation by importing genius. You scale it by creating a system that builds mastery from the INSIDE.โ
Itโs not a skill gap. Itโs a leadership failure: a failure to train, to mentor, to evolve.
And it starts inside the buildingโฆ before you buy your next miracle tool.
In our conversation, Sean was brutally clear: Real ROI isnโt purchased. Itโs practiced.
Apprenticeship is the missing link in modern tech. We over-index on credentials. We underinvest in guided, in-context learning; where behavior changes, not just job titles. He shared real world examplesfrom his portfolio companies:
โThatโs how we aligned behavior. Not by buying software, but by changing how people used it… daily.โ
Small steps. Habits. Incentives. Evolution, not disruption.
And yes, we unpacked where AI actually adds value in that processโฆ as well as where it becomes a silent killer of autonomy, team trust, and long-term capability.
โAI without culture is just noise. A distraction. Sometimes worse than useless.โ Transformation wasnโt sold. It was engineered with human care and a bias for upskilling.
The real gold? Itโs already inside your walls. You donโt need a million-dollar tool to dig it out. Just empathy-driven leadership to bring it to life.
So the question isโฆ Are you extracting hype? Or unlocking your in-house human potential… like the F1 and MotoGP do?
Letโs be blunt: F1 doesnโt pay $1M for hype. They invest in mastery. Two-second pit stops arenโt magic. Theyโre the byproduct of obsession, precision, and relentless systems thinking. Every move is engineered, trained, and every failure is examined. Drivers earn their salaries through pain, repetition, and elite performance under pressure.
Now contrast that with todayโs AI hiring spree.
Coders, brilliant, maybe, but with zero background in neuroscience, behavioral science, or organizational dynamics, earning $1M not because they built anything enduring, but because they might hallucinate value faster than the next team.
Are we serious?
These arenโt scientists. Theyโre mercenaries. Trained in syntax, dropped into boardrooms, entrusted to architect the future while the very teams that built the present are being laid off to fund their salaries.
Itโs a toxic paradox:
โF1 and MotoGP performance doesnโt happen by accident. Itโs not achievable with casual leadership. It demands daily, deliberate improvement. And an operating system of human-centric, behavioral evolution.โ
Thatโs what modern software organizations have forgotten.
They cut training to zero. They outsourced thinking to frameworks and vendors. They traded sustainability for shortcuts and stunts.
And the result?
$1M AI mercenary wonโt save you. Theyโll expose your rot.
Itโs time to shift:
Evolution isnโt hype. Itโs discipline. And right now, your competitors are already evolving.
๐ก Still burning millions on tools and frameworks with zero ROI?
Thatโs not a tech problem.
Thatโs your CFO culture working against you.
Evolution doesnโt happen in Excel.
It happens through engineered programs like the Unicornsโ Ecosystem. The operating system that venture builders are opting for in their studios to build their future portfolio.
Youโve got two choices:
Itโs fast. Surgical. Brutally clarifying. And it might just save your company before the AI bubble bursts.
To stay in the loop with all our updates, be sure to subscribe to our newsletter ๐ฉ and podcast channels ๐ง:
๐ฐ LinkedIn
๐ฅ YouTube
๐ป Spotify
๐ป Apple Podcast
Visionary Digital Evolution Strategist
Rooted in Formula 1 excellence, with over 30 years in IT starting as a child in the 1980s, โฆ