# (Most) Programmers are losing our jobs very soon

## Are you a declarative programmer or a ‘close to the machine’ one ?

if you are on the second group you are going to lose your job very soon.

Machine learning does an excellent job on making repetitive tasks inferring properties from a dataset and solving problems (often without showing the solution path).

> Today’s state of the art does not threaten good software engineers (yet).

Any Deep Neural Network can learn Knuth’s three volumes of [the art of computer programming](https://en.wikipedia.org/wiki/The_Art_of_Computer_Programming) and accurately choose which algorithm and data structure best fits in order to achieve a goal. Nevertheless is not an easy task to mimic computational models against real world because **real world is subjective**.

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You can't pretend that nothing is happening.

Today most Algorithms are already written and well tested, all we need to do is choose a good library on GitHub and port it to our language. But business frameworks are not that mature, yet.

> _Instead of program computers we will show them our needs and they will figure out what to do._

Geoffrey Hinton discusses the future of programmers with Coursera founder Andrew Ng.

# The Rise of Mathematical Models

With the [Machine learning hype](/@manjotpahwa/is-machine-learning-still-a-hype-261a7280f9b7) several low level languages are [trending](https://towardsdatascience.com/top-10-in-demand-programming-languages-to-learn-in-2020-4462eb7d8d3e), This includes Go, Python or even C++.

Most of these languages lack declarativity (with Python as an exception) and need to be machine optimized since time and memory consumption is a concern.

The business models are not expected to change very often so coupling is not an issue.

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The race has started.  [GPT3](https://en.wikipedia.org/wiki/GPT-3) and its amazing results are on our heels.

Nevertheless once best machine learning algorithms are coded they will need to be fed by a business model. This will be our task for the next few years.

It is a long journey and we are still ahead.

![franck-v-YKW0JjP7rlU-unsplash.jpg](https://cdn.hashnode.com/res/hashnode/image/upload/v1598992069873/oIIn35aMl.jpeg)

Photo by [Franck V.](https://unsplash.com/@franckinjapan) on [Unsplash](https://unsplash.com/s/photos/robot)

# Conclusions

If you are a Computer Engineer or [Computer Scientist](https://medium.freecodecamp.org/why-do-so-few-people-major-in-computer-science-6c2c08272405) my advice is: Once you’ve read some programming books leave that stuff to AI and take care of business model design instead. There’s plenty of room for human creativity there.

* * *

Part of the objective of this series of articles is to generate spaces for debate and discussion on software design.

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We look forward to comments and suggestions on this article.