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You Own Your Data. Your Vendors Own the Keys.
How business leaders should think about the ‘transition’ architecture from their current tech landscape to an AI native future state
52 mins ago
•
Anand Krishnan
"We Can Build That" - How business leaders should think about building vs buying software
Vibe coding made the first version of almost any software nearly free to produce, which is not the same thing as making the software cheap to own.
Jun 22
•
Anand Krishnan
How business leaders should think about AI coding tools and what to expect from their engineering teams.
You don't need to understand AI coding tools. You need to understand what to demand from the people who use them and what you are spending for
Jun 19
•
Anand Krishnan
You Didn't Use AI. AI Used Your Afternoon.
The Rabbit Hole Has No Bottom. Why AI makes everyone a better researcher and a worse finisher and how to avoid it.
Jun 12
•
Anand Krishnan
Sixty Percent of Your ERP Budget Is Spent Making It Fit
How business leaders should think about ERP in the modern context.
Jun 4
•
Anand Krishnan
You Are Not an Expert Because AI Agrees With You
The most dangerous person in any high-stakes room is the one who asked AI all the questions and mistook confident answers for real ones.
Jun 2
•
Anand Krishnan
May 2026
Systems thinking to 'translation' and back to systems thinking. How AI is shaping the software development profession.
Software engineering became translation job for fifty years. That job is over. What replaces it is harder, rarer, and more valuable and most of the…
May 28
•
Anand Krishnan
The Rising Skill Premium
Why vibe coding made software engineering harder, not easier
May 22
•
Anand Krishnan
2
Not considering the cost of 'thinking' when paying for AI
Why the trivialization of AI work produces worse projects rather than cheaper ones, and how to buy AI help w
May 14
•
Anand Krishnan
How business leaders should think about 'Vibe coding'. Code Was Never the Bottleneck
I keep hearing the same complaint, in two different decades.
May 8
•
Anand Krishnan
March 2026
Why most AI deployments are attempting to solve the wrong problems?
The technology is probabilistic. The business is not. Until leaders internalise this mismatch, the 95% failure rate is not a bug — it is a structural…
Mar 26
•
Anand Krishnan
1
The Copilot Question: Generic Convenience or Architectural Precision?
How business leaders should think about off the shelf copilots (chatgpt, microsoft copilot, Claude etc) vs. business specific AI that has the context of…
Mar 24
•
Anand Krishnan
1
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