MARGINALIA · LinkedIn
Tokens are not yield
Alex Karp’s critique matters because it comes from inside the AI wave: tokens are not yield, usage is not value, and enterprise AI must be judged by the consequences it produces.
#leadership
Judgment, responsibility, and the work of making direction legible to others.
24 entries
ESSAY · LinkedIn · 10 MIN READ
AI Is Too Important to Be Left To Its Believers
AI is too consequential to be left to enthusiasts. The conversation needs less prophecy, more proof, and a lot more precision.
MARGINALIA · LinkedIn
The tank is already in the capital
AI does not persuade; it concludes, removing the interval in which doubt might have lived. What remains is fluency mistaken for truth, and consensus reduced to the absence of difference.
MARGINALIA · LinkedIn
Ideas are nothing. Execution is everything.
As AI makes execution cheaper, direction matters more: what to build, whom to serve, and whether the problem is worth solving.
MARGINALIA · LinkedIn
From boss is always right to the model is always right
AI models may reinforce what people are most likely to accept, strengthening existing beliefs and collective overconfidence.
MARGINALIA · LinkedIn
Markets are pricing AI on future potential
Markets are pricing AI on a future shaped by foundational model capability and rapid workflow innovation. As leaderboards continue to shift, the case for broad AI pessimism remains premature.
ESSAY · LinkedIn · 4 MIN READ
Building Teams That Perform When No One Is Watching
High-performance teams do not rely on charisma or surveillance. They run on judgment, standards, and the habits people keep when nobody is looking.
MARGINALIA · LinkedIn
If no one is carrying risk, no one is leading
MARGINALIA · LinkedIn
Responsibility doesn’t disappear
MARGINALIA · LinkedIn
Judgment isn’t elastic
MARGINALIA · LinkedIn
AI assistants create a false sense of progress for young engineers
AI can make young engineers faster without making them better.
MARGINALIA · LinkedIn
AI can execute flawlessly - faster, cheaper, tireless
AI can execute flawlessly—but it can’t care. The next era belongs to those who question the premise, slow down when speed feels wrong, and carry culture through automation.
MARGINALIA · LinkedIn
Distribution is not enough
Distribution is no longer a durable moat. The next wave will win with modular, AI-native technology, outcome-based pricing, and domain-specific units of intelligence that augment higher-value work.
MARGINALIA · LinkedIn
At the recent White House dinner, Trump sat with America’s tech titans
Data centers are the new factories, and compute is becoming a foundation of sovereignty. India must build its own AI backbone or risk renting its digital destiny from others.
MARGINALIA · LinkedIn
Code has never been cheaper
Cheaper code and faster delivery do not guarantee a useful product. Conviction grounded in customer understanding gives the work direction.
MARGINALIA · LinkedIn
Gartner’s stock has crashed nearly 50% in the past six months
AI did not erase research’s value; it removed the scapegoat. Gartner’s deeper challenge is a generation of builders acting on conviction, accepting failure, and refusing to outsource accountability.
FIELD NOTE · LinkedIn · 4 MIN READ
Why Shipping Code Faster Won’t Save You
Speed is cheap now. Differentiation is not. The winning teams are the ones who know what to build, not just how fast to ship.
ESSAY · LinkedIn · 5 MIN READ
In a World of AI Agents, Giving a Damn Is a Power Move
In an age of agents, the advantage is not pretending humans are obsolete. It is building systems that still care about judgment, ownership, and taste.
MARGINALIA · LinkedIn
The Future of Jobs Report 2025 from the World Economic Forum shows what employers claim
The future of work may favor AI, resilience, and creativity, but those skills depend on the basics: reading, writing, mathematics, reasoning, and the ability to teach others.
ESSAY · LinkedIn · 3 MIN READ
Navigating the Final Frontier: Antifragility in Building Tech CoE Teams
Great teams are not just resilient under stress. They get stronger because they are built to absorb volatility without losing direction.
ESSAY · LinkedIn · 3 MIN READ
Why should your Innovation-Team be like Star Trek's Starship Enterprise
Innovation teams fail when they become hobbies. They thrive when they operate like a disciplined crew with a mission, roles, and mutual trust.
ESSAY · LinkedIn · 2 MIN READ
"Boss Is Always Right" Right? Wrong - Here's Why
Silence feels safe until it becomes expensive. The best leaders make room for dissent before the mistake ships.
ESSAY · LinkedIn · 6 MIN READ
How to Champion Technology Disruptions in Your Organisation.
A disruptive idea does not need more noise. It needs a coalition, a narrative, and a path through the org chart.
ESSAY · LinkedIn · 5 MIN READ
What Jurassic Park Teaches About Ideas, Business-led IT & What CIOs Can Do About It?
Great ideas rarely fail on logic alone. They fail when business and IT treat innovation like a parked asset instead of a shared operating model.
