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Agentic AI is Changing the IT Market: Banks, Pharmaceutical Companies, and Tech Giants Are Massively Hiring Developers for AI Programming

The year 2026 brought a fundamental shift in the IT labor market. While last year companies were still hesitant about whether to allow developers to use AI assistants, this year the debate has moved entirely elsewhere. Large enterprises across the financial sector, pharmaceuticals, and technology are now competing for experts who can not only use AI programming tools but, more importantly, manage their deployment on an enterprise-wide scale. Data from the analytical company GlobalData show that agentic AI has ceased to be an experiment and is becoming a strategic competitive advantage.

From Pilot Projects to Enterprise-Wide Transformation

According to GlobalData Job Analytics, demand for professionals with knowledge of AI programming tools, agentic artificial intelligence, and enterprise AI governance is growing across all regulated industries. Companies are no longer debating whether developers should use AI assistants — they are addressing how to standardize their deployment, measure productivity, and ensure security across the entire software development lifecycle.

This is also confirmed by figures from Gartner: while at the beginning of 2023 less than 10% of enterprise developers used AI programming assistants, by 2028 this is expected to be 75%. Gartner also warns that the cost of AI programming could exceed the average salary of a software developer by 2028 — making AI coding one of the fastest-growing items in IT budgets.

Who is Hiring: Banks, Pharmaceuticals, and Consultants

GlobalData has identified a wave of recruitment in three key sectors:

Financial Services

Visa, BlackRock, and Citigroup are currently filling technology leadership positions focused on integrating generative and agentic AI into enterprise software engineering. These organizations are using artificial intelligence to modernize payment platforms, manage portfolios, and develop digital trading applications — all while adhering to strict financial regulations. For Czech banks and fintechs, this is a signal that competitiveness in the financial sector will increasingly depend on the ability to effectively deploy AI in development.

Pharmaceuticals

Vertex Pharmaceuticals is seeking a Director of AI Coding Platforms, whose task will be to oversee enterprise AI tools and advanced agentic workflows. The role includes evaluating new AI technologies and ensuring that developers use only safe, approved, and regulated platforms — in collaboration with legal, security, and compliance teams. The pharmaceutical industry, traditionally conservative, thus shows that even the most strictly regulated sectors are prioritizing AI programming.

Professional Services and Technology

Consulting firm Alvarez & Marsal is hiring technology leaders for software development transformation using AI-native platforms such as GitHub Copilot, Cursor, Claude Code, and Amazon Q Developer. In the technology sector, SentinelOne, Altana Technologies, and Cellebrite are integrating AI across all phases of software engineering — from build automation through testing, deployment, to artifact management and production support.

What is Really Happening with AI Programming in Companies

AI coding is no longer just about code suggestions. Companies are deploying agentic AI for automatic code review, pull request management, continuous testing, documentation generation, and workflow automation. One of the strongest use cases is modernizing legacy systems — for example, migrating from COBOL to Java with human-in-the-loop validation, refactoring SQL code, or automatically generating unit tests.

Companies are also starting to track entirely new metrics: AI token consumption, adoption rate among developers, proportion of AI-generated errors, time spent fixing AI code, and frequency of hallucinations. AI coding is becoming a standalone engineering discipline with its own governance framework.

What This Means for the Czech Market

Czech companies and developers should not underestimate this wave. Tools like GitHub Copilot (from 10 USD/month for individuals, corporate license from 19 USD/user), Cursor (20 USD/month Pro), or Claude Code from Anthropic (part of Claude Pro subscription for 20 USD/month) are fully available in the Czech Republic. Amazon Q Developer offers a free tier for individual developers.

However, the crucial factor is not the tool itself, but rather the company's ability to build processes, governance, and metrics around AI programming. Czech banks, insurance companies, and technology firms that manage this transformation first will gain a significant lead in the European market. Conversely, companies that stick to "every developer tries what they want" will pay more for AI coding in 2028 than they save on productivity.

For developers themselves, it means only one thing: the ability to work with AI agents and understand their limits is becoming as important as knowledge of a programming language.

What AI programming tools are available in Czech?

Direct Czech localization of AI programming tools is currently limited — GitHub Copilot, Cursor, and Claude Code primarily communicate in English. However, they can generate code, documentation, and comments in Czech if you instruct them to. Claude from Anthropic is among the best models for Central European languages, including Czech. For Czech developers, it is crucial that all major tools are available on the Czech market without restrictions and at standard prices.

Will AI programmers replace human developers?

GlobalData's data show the opposite — companies are actually massively hiring due to AI programming. AI automates routine tasks (writing boilerplate code, tests, documentation), freeing up developers for architecture, system design, and creative problem-solving. It's more about changing the nature of the work than its existence. However, Gartner warns that AI coding costs could exceed a developer's salary by 2028 — companies will need to find a balance between productivity and budget.

Do I need new skills for AI programming?

Yes. A key new skill is prompt engineering — the ability to precisely formulate instructions for an AI model to generate correct and secure code. Equally important is the ability to code review AI outputs (AI code is not infallible and may contain errors or security vulnerabilities) and an understanding of AI governance — that is, rules for the safe and auditable deployment of AI in an enterprise environment.

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