AI in Tech Industry: Increased Workload and Changing Expectations for Developers

In November 2023, Microsoft co-founder Bill Gates suggested a future where artificial intelligence could reduce the workweek to three days. Gates said that if machines can handle essential tasks, people may not need to work as much. This idea has been widely promoted in the tech industry, especially with the rise of advanced AI tools. Companies and AI advocates have promised that developers and engineers would spend less time on repetitive tasks, freeing them for creative or higher-level work.

Key Highlights

• Developers report increased workload and pressure despite AI tools in the tech industry.
• Managers expect faster results with AI, but token usage limits create new challenges.
• AI speeds up tasks but often requires manual corrections and additional training.

AI's Impact on Workload

However, many software developers report that AI has not reduced their workload. Instead, it has often increased pressure and hours. Shubham, an employee at a FAANG company, explains that while AI enables faster work, the overall workload remains the same. "We are able to work quickly but the work has increased. So at the end we're working for the same amount of time," he says.

Ankita, a senior software developer in Bengaluru, shares a similar experience. She notes that while AI tools can reduce the time needed for tasks, management expects employees to complete more work in less time. "Their expectation is if there is AI, a task will be done in half time. Or it will be done in 30 per cent time. So the workload is increasing compared to the time," Ankita explains.

Rajat, another senior developer, believes that expectations of reduced work were unrealistic. He points out that employees are still required to work their full hours, regardless of AI efficiency. "It's not like if 10 hours of work is done in 4 hours, then in the remaining 6 hours, let's do something else. It's not like people are sitting idle because of AI," he says.

Ankita adds that her working hours have increased, sometimes reaching 15-16 hours per day. She also highlights the need to stay updated with AI developments, attend training sessions, and manage additional responsibilities.

Challenges with AI Adoption

AI tools are now common in the tech industry and are spreading to other fields. However, they do not always reduce workload. Diya Jana, a graphic designer at Oddly Studios, says AI speeds up processes but often requires manual corrections and refinements. "AI doesn’t directly reduce my workload, but it does make the process faster," she says.

Managers and leadership teams encourage the use of AI tools, sometimes expecting entire projects to be completed with minimal human intervention. Shubham notes that some projects are expected to be finished solely by AI, with engineers providing only prompts. Despite this, usage of AI tools is often limited by token caps. Ankita's company, for example, provides $250 worth of AI tokens per month. She explains that these tokens can run out halfway through the month, leading to increased pressure from management to complete tasks without additional resources.

Not all tasks can be fully automated. Kaushiki, a system tester at TCS, says that manual testing remains essential for her projects. An Amazon Logistics Germany employee reports that AI systems for scanning packages sometimes make errors, requiring manual intervention and causing delays in delivery processes.

Future Outlook for AI and Work

Some believe that AI can reduce workload if used effectively. Rajat suggests that those who use AI smartly can benefit, but relying entirely on AI may increase workload. OpenAI CEO Sam Altman recently commented that people may actually become busier in a world with advanced AI, as expectations continue to rise. Instead of shorter workweeks, employees may face more demands as technology evolves.