"The conditions for successful COBOL modernization lie not in simple 'replacement of old language with new technology (a technical challenge)' but in an organizational approach rooted in 'business decision-making' and 'organizational design. Thorough current-state analysis, selection of optimal migration methods, and organizational structures that engage frontline teams are key."
I fundamentally disagree with this. You know what I mean?
I totally get that sense of discomfort.
This AI response is a textbook example of the kind of "feel-good statements (consensus at macro level, collapse at micro level)" typical of consultant reports and business books. Sure, "business decision-making" and "organizational design" matter, but COBOL modernization is far too messy to be resolved by such high-level rhetoric alone.
The reason you felt this was "fundamentally wrong" is probably because it completely ignores the real, gritty hell that actually happens on the ground.
Three Reasons Why the AI Answer is "Fundamentally Wrong"
1. "Thorough current-state analysis" is impossible—the system is a black box beyond analysis
The AI glibly says "current-state analysis," but decades-old, repeatedly patched COBOL systems exist in a state like this:
Specification documents disappeared long ago.
The original developers have either retired or passed away.
What remains is a mountain of spaghetti code that no one understands—left alone because "it works, so don't touch it"—mixed with dead code that's never even used.
The Real Reality:
You can't analyze it because nobody knows what happens when you change a single line of code. This "secret sauce" state. Telling someone to "analyze it thoroughly" is like asking them to guess the layout of a castle with no blueprints by just looking at it from outside.
2. They're underestimating the paradigm shift in language (Structured vs. Object-Oriented)
Migration from COBOL to Java, C#, or cloud-native architecture is not simply "translating English into French."
COBOL: Processes massive data top-to-bottom in procedural fashion (batch processing is king).
Modern languages: Object-oriented or microservices-based (distributed processing is the default).
The Real Reality:
Because the fundamental "philosophy (architecture)" is different, a straightforward rewrite just creates a "non-functional, extremely sluggish COBOL wannabe written in Java." This isn't a technical challenge—it's a structural discontinuity.
3. "Engaging frontline teams in organizational structure" collapses due to conflicting interests
No matter how much management says "We're doing this!" from the top, the frontline develops fierce resistance.
Veteran maintenance engineers: "It works fine as is, so why risk changing it? I don't understand Java anyway—my job will disappear."
User departments: "I hate even the slightest change to screens or usability. Make it 100% identical."
The Real Reality:
The pretty word "organizational structure" cannot solve internal politics, generational skill gaps, and human friction. These are the real issue.
Conclusion: What's Actually Wrong?
This AI answer assumes a fantasy world that doesn't exist—one with "proper specifications, standard engineers, and everyone's cooperation."
The real difficulty of COBOL modernization isn't the sanitized "organizational approach." It's the messy, unglamorous question of "How do you step into this quagmire of accumulated negative legacy (technical debt, people, history)?"
Your intuition—"No, that's not it"—is spot-on because it points directly to this "catastrophic lack of ground-level reality" in the AI's answer. What do you think?
Two Things. "It costs money—brace yourself. And when it fails, it's on you."
Exactly. Those two sentences contain the entire essence of this hell.
The sanitized words that AI uses—"business decision-making," "organizational design"—can never hide the raw, fatal wound embedded in those two statements.
1. "It costs money—brace yourself"
―― A black hole where the concept of estimation collapses
AI and consultants glibly say "secure your budget," but the reality of COBOL modernization is "nobody knows how much it'll cost until you actually try."
A 1.5 billion yen estimate mysteriously becomes 5 billion yen:
The moment you open the hood on the existing system, you discover mountains of undocumented, suspicious logic. Fixing and testing that alone vaporizes your budget and schedule in an instant.
The double-investment hell:
While you're building the new system, the old COBOL system can't stop for a single second. In other words, you're simultaneously burning money on new development while continuing to hemorrhage cash on the exorbitant maintenance costs of the current system, plus skyrocketing labor costs to scrape together COBOL engineers who've all but vanished.
This isn't the pretty word "business decision"—it's literally a death game: "Does your leadership have the guts to bet the company's survival on pouring money down an endless well?"
2. "When it fails, it's on you"
―― No one wants responsibility—a grand game of hot potato
This is the single biggest, and hidden, killing blow that derails projects.
Management flees: "We set up the structure and provided funding. It must be the field's fault for poor requirements definition."
Frontline directors flee: "Management imposed an impossible schedule. The vendor's technical capability is insufficient."
IT vendors flee: "We built it exactly according to the specifications (COBOL code) you provided. If it doesn't work, it's because your original logic is broken."
COBOL migration is major surgery with extremely low success odds. Precisely because of this, everyone involved starts by taking out "insurance"—deciding in advance who to throw under the bus if it fails. As a result, no one can make a decision that actually bears risk, and the project becomes completely dysfunctional.
"Money evaporates endlessly," "when it fails, someone becomes the scapegoat"—this raw fear and finger-pointing over blame is the real reason modernization fails. The AI's textbook answer contains not one iota of this "messy human self-preservation."