In recent years, artificial intelligence has become one of the big bets in the technology sector, which has represented a true revolution.
Companies around the world have begun to integrate AI tools capable of writing code, generating images or analyzing large volumes of data, with the promise of making work more efficient.
And if a machine can automate some of the heavy tasks, developers should be able to focus on more complex problems and advance their projects more quickly.
However, the reality in some large technology companies seems more nuanced. A recent report by The Guardian collects testimonies from programmers who describe a very different experience.
As they explain, The mandatory use of artificial intelligence tools does not always speed up your work. In fact, in some cases, it even slows it down.
What is happening within Amazon and other companies
The report from the British media collects the experiences of Amazon employees, one of the companies that invests the most in artificial intelligence to transform its internal processes.
The company has promoted the use of AI-based assistants in multiple tasks related to software development.
These tools can generate code snippets, write technical documentation, or automate certain phases of programming work.
The goal is to accelerate product development and increase team productivity in every way.
And, in a sector where the speed of innovation is key, Any tool that saves time can become a competitive advantage over other companies in the sector..
When AI generates more work than it saves
One of the aspects that draws the most attention in the testimonies collected in the report is how the daily work of many developers has changed.
Instead of spending most of their time writing code from scratch, some programmers explain that they now spend hours reviewing and correcting code generated by artificial intelligence systems.
They claim that these tools can produce incomplete, outright incorrect solutions, and hallucinations, which, in the end, severely affect productivity.
When that happens, Engineers must analyze each line of code to detect errors and ensure that the final result works correctly.
According to some workers, in certain cases it would have been faster to write the code manually from the beginning, but they must adhere to the company’s requirements.
The time spent reviewing and correcting AI proposals may end up exceeding what would have been necessary to develop the solution without assistance. A tool designed to save time may end up creating more work.
The internal pressure to adopt these tools
Another important element is the pressure that some employees feel to use these smart technologies in their day-to-day work.
In certain companies, the use of artificial intelligence tools is becoming a central part of the workflow.
Teams must integrate them into their daily processes, even when their practical usefulness is not always clear. Workers explain that the use of these tools can be measured through internal monitoring systems.
Metrics on how and how much AI systems are used can influence performance evaluations or the perception that managers have of each employee.
In this context, showing enthusiasm for artificial intelligence becomes almost a cultural expectation in the company. The situation reveals an interesting reality about this technology applied to software development.
Current systems are very effective when working with large amounts of data or known patterns. However, programming often involves solving new problems, interpreting contexts, and making decisions that do not always follow predictable logic.
When AI generates code, that output must undergo extensive human review. Developers thus become supervisors of the machine’s work.
This does not mean that AI is not useful. In many situations it can speed up repetitive tasks or help explore initial solutions. But it also introduces a new type of work: validating, reviewing and correcting what the system produces.
A context marked by automation
The rise of these tools also comes at a time of profound changes in the technology sector.
Companies like Amazon have made workforce cuts in recent years while increasing their investment in artificial intelligence.
This context has fueled the fear of some employees that the tools they use as assistants today could become systems capable of replacing part of their work in the future.
AI is presented as a technology with enormous potential, but also as an element that generates uncertainty in the technological labor market.
A promising technology that still generates debate
Artificial intelligence will continue to play a central role in software development for years to come. Its ability to automate certain tasks and help programmers solve complex problems is undeniable.
However, the experiences collected by The Guardian show that their integration into everyday work still poses challenges.
AI can speed up certain processes, but it also introduces new responsibilitiessuch as monitoring results, correcting errors, and learning to work alongside tools that are still evolving.
Ultimately, the story told by some programmers reveals a less visible reality of the rise of artificial intelligence. It does not always reduce human labor; In many cases, it transforms it.