What is COBOL, the high-level programming language that is behind biggest-ever fall in IBM stock value
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What is COBOL?
COBOL stands for Common Business-Oriented Language and was created in 1959. It was partly drawn on the work of computing pioneer Grace Hopper and was built for a single purpose: processing business data. Payroll, transactions, administrative records. Sixty-six years later – in the AI age – it is still doing exactly that.Reports suggest that an estimated 95% of ATM transactions in the United States still rely on COBOL and it supports 80% of in-person credit card swipes. The Open Mainframe Project estimated in 2021 that roughly 250 billion lines of COBOL remain in active use at businesses worldwide, powering systems at banks, airlines and government agencies, and most of this code runs on IBM mainframes.
Why banks and other critical entities are still using ‘old tech’
Even after so many years, COBOL works extremely well for what it was designed to do – so well that replacing it has proved far more difficult and expensive than most organisations anticipated. Most computer science graduates are being trained on Python, Java, and cloud-native architectures. This is because maintaining COBOL systems is widely seen as problem as the pool of developers who understand the language has been shrinking for years. During the COVID-19 pandemic, several US states scrambled for COBOL programmers when unemployment systems buckled under sudden demand.Banks have attempted multi-year migration projects to move off COBOL, and some of those efforts ended in widespread service disruptions and regulatory fines. The US Internal Revenue Service only recently began a transition from COBOL to Java.
What Anthropic actually claimed
In a blog post on February 23, Anthropic said its Claude Code tool can map dependencies across thousands of lines of COBOL – essentially meaning that the shrinking developers who understand the language can be addressed. This includes document workflows, flag risks, extract business logic, and generate translations to modern languages like Java or Python can be done all within weeks rather than the years such projects have traditionally required.Anthropic's central argument is that the real expense in COBOL modernisation has always been comprehension, not rewriting. If AI can make the analysis fast and cheap, it fundamentally changes the economics of the entire exercise.
Why IBM stock crashed
IBM owns COBOL’s mainframe platform the language runs on and it earns recurring revenue from mainframe hardware, software licences and services tied to COBOL workloads. The company has working to modernise its strategy around COBOL rather than replace it, connecting legacy systems to cloud applications and offering COBOL programs as APIs. So, if an external AI tool can handle what developers have traditionally been paid to do, it threatens a core pillar of IBM's business model. The market reacted accordingly.Here is IBM’s technical explanation on how COBOL works
COBOL: Common business-oriented language (COBOL) is a high-level, English-like, compiled programming language that is developed specifically for business data processing needs.COBOL was designed with optimal versatility in mind; its verbosity enables programmers to use a readable, easily maintainable programming language that can function across mainframe computers and operating systems. In fact, it was one of the first programming languages that the American National Standards Institute (ANSI) and International Organization for Standardization (ISO) standardized.One of COBOL’s biggest strengths is its strong support for large-precision fixed-point decimal calculations, a feature not necessarily native to many traditional programming languages. This capability helped set COBOL apart and drive its adoption by many large financial institutions.In some cases, COBOL modernization can involve translating COBOL code into a newer programming language. But an exclusive focus on language translation ignores the platform component: what the application runs on and integrates with. A comprehensive COBOL modernization strategy must include systems-level engineering that solves for data architecture redesign, runtime replacement and transaction processing integrity, in addition to other platform considerations.History of COBOLCOBOL was developed by a consortium of government and business organizations called the Conference on Data Systems Languages (CODASYL), which formed in 1959. Partly derived from FLOW-MATIC, a language created by computer science pioneer Dr. Grace Hopper, COBOL was created as part of a US Department of Defense initiative pushing for a programming language that could work across operating systems (Linux®, Windows, Unix, z/OS®, etc.) and hardware environments.
COBOL was developed by a consortium of government and business organizations called the Conference on Data Systems Languages (CODASYL), which formed in 1959. Partly derived from FLOW-MATIC, a language created by computer science pioneer Dr. Grace Hopper, COBOL was created as part of a US Department of Defense initiative pushing for a programming language that could work across operating systems (Linux®, Windows, Unix, z/OS®, etc.) and hardware environments.
Unsurprisingly, the configuration section provides information about the system configuration, including the computer and compiler features it’s using. However, due to advancements in compiler tools, configuration sections have become somewhat obsolete in modern COBOL systems, which can typically infer and automatically adapt to their environment.The input-output section specifies the files and associated devices that the program can interact with. It includes the FILE-CONTROL paragraph—which maps file names within the program to external files—and the I-O-CONTROL paragraph that typically contains optimization or sequencing information for input-output operations.
COBOL 'massacre': IBM not alone
IBM isn't alone-AI disruption fears are wrecking havoc on the entire software industry as cybersecurity heavyweights like CrowdStrike and Datadog slumped after Anthropic unveiled a separate security scanning feature in Claude Code. A major software ETF has now shed 27% this year-its steepest quarterly decline since the 2008 financial crisis.Whether Anthropic's COBOL claims hold up at enterprise scale-where decades of undocumented business logic, regulatory requirements and organisational inertia complicate every migration-remains an open question. But Wall Street isn't waiting to find out. The market has decided that the era of expensive, multi-year legacy modernisation projects is ending. The only debate left is how fast.
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