Why utility builders may well be out of date through 2030

In 1930, John Maynard Keynes predicted we’d be having 15-hour workweeks by the end of the century. But by the time it was 2013, it was clear the great economist had gotten something wrong.

Welcome to the era of bullshit jobs, as anthropologist David Graeber coined it. Since the 1930s, whole new industries have sprung up, which don’t necessarily add much value to our lives. Graeber would probably call most jobs in software development bullshit.

I don’t share Graeber’s opinion, especially when it comes to software. But he does touch an interesting point: as more and more processes are automated, most jobs are obsolete at some point. According to one estimate, 45 percent of all jobs could be automated using current technology. And over time, they probably will.

In software development, where things move pretty fast anyway, you can see this happen in real-time: as soon as software testing became a hot topic, automation tools started springing up. And this is just one of the many areas where the bullshit-parts — the parts that are iterative and time-consuming — of software has been automated away.

This begs the question, though, whether developers are making themselves obsolete by building automation tools. If more and more machines can write code for themselves, what do we need humans for?

From designing logic to designing minds

Software developers are builders at heart. They build logical links, algorithms, programs, projects, and more. The point is: they build logical stuff.

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With the rise of artificial intelligence, we’re seeing a paradigm shift though. Developers aren’t designing logical links anymore. Instead, they’re training models on the heuristic of these logical links.

Many developers have gone from building logic to building minds. To put it differently, more and more software developers are taking on the activities of data scientists.

The three levels of automation

If you’ve ever used an IDE, then you know how amazing assisted software development can be. Once you’ve gotten used to features like autocomplete or semantic code search, you don’t want to go without them again.

This is the first area of automation in software development. As machines understand what you’re trying to implement, they can help you through the process.

The second area is that of closed systems. Consider a social media app: it consists of many different pages that are linked among each other. However, it’s closed insofar as it isn’t designed to directly communicate with another service.

Although the technology for building such an app is getting more and more easy to use, we can’t speak of real automation yet. As of now, you need to be able to code if you want to create dynamic pages, use variables, apply security rules, or integrate databases.

The third and last area is that of integrated systems. The API of a bank, for example, is such a system since it is built to communicate with other services. At this point in time, however, it’s pretty impossible to automate ATM integrations, communications, world models, deep security, and complex troubleshooting issues.

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