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# Is The Claude Computer Use the End of The Digital Gig Economy?
- URL: https://airabbit.blog/is-the-new-claude-ai-the-end-of-the-digital-gig-ecnomony/
- Published: 2024-11-14T19:12:03.000Z
- Updated: 2025-03-21T15:47:24.000Z
- Description: Anthropic's new Claude Sonnet 3.5 model introduces a groundbreaking "Computer Use" feature, poised to transform the digital gig economy. By tackling tasks like testing web apps autonomously, Claude showcases a new level of efficiency and autonomy. As AI evolves, it's essential to embrace these ch...
- Author: AiRabbit
- Tags: AI Tools, Development, Productivity, Automation, Knowledge Management

Anthropic has recently introduced a new model (**New Claude Sonnet 3.5**) along with a new feature called **Computer Use**, which I have reported on in [previous blog posts](https://medium.com/codex/has-anthropic-claude-just-wiped-out-an-entire-industry-fc1ada7a8d91?ref=airabbit.blog). Those of us who have had the chance to try out this new technology may have already realised that we are talking about a whole new level of autonomy that I believe will reshuffle many **parts of the economy**.

The technology is so fundamental that Claude himself refused to analyse articles on the subject because of the “danger” involved. You can try it yourself.

> Here is a non-technical[summary](https://medium.com/@airabbitX/the-economic-impact-of-claude-3-5s-computer-use-feature-in-depth-research-00aaab8bf536?ref=airabbit.blog)of computer use.  
>  
> And if you are interested in the technical details of Claude API, I suggest you have a look at Claude’s official documentation:  
> [https://docs.anthropic.com/en/docs/build-with-claude/computer-use](https://docs.anthropic.com/en/docs/build-with-claude/computer-use?ref=airabbit.blog)  
>  
> And if you want to try it out, you can also read my[previous blog post](https://medium.com/@airabbitX/has-anthropic-claude-just-wiped-out-an-entire-industry-part-3-3-fe58001dc33c?ref=airabbit.blog)on the same topic.

# About the Digital Gig Economy

One of the tasks that Claude Computer Use is probably designed for is the typical tasks that we might associate with the **digital gig economy** that people do with their computers on a daily basis, mostly involving **click-and-point** tasks, **fill-in-the-blank** and similar activities that are offered on Fiverr, Mechanical Turk and so on and that are well defined and specified.

In this blog post, I want to talk about the impact of computer use on this industry and see how far the new Claude can get given a typical task on Fiverr to test a web application.

That said, **let’s dive in.**

# Here is the task:

> **Given an app that generates Google Forms using natural language, test it by generating a sample form and share your thoughts on the usability of the app.**

Note that I have deliberately kept the prompt super short and imprecise to see how Claude interprets it and what assumptions and actions he will take.

> *Side note on the architecture of the *experiment:* The whole experiment runs in a Docker container, which you could scale to distribute the load across different subtasks.*

Here is the original screenshot of the dialogue:

![](https://miro.medium.com/v2/resize:fit:1400/0*Q3m3LvI76lPJuQMa.png)

> *It opens the application in the browser:*

![](https://miro.medium.com/v2/resize:fit:1400/0*YqjIk4YjnsCqDVnC.png)

> *It tries to log in, but finds that it needs the credentials, so it asks me to log in or provide the username/password.*

![](https://miro.medium.com/v2/resize:fit:1300/0*84BQbwAP5YzAdlee.png)

> *I decided to log in and let it continue from there (don’t really want to share my credentials).*

![](https://miro.medium.com/v2/resize:fit:1400/0*WIpHScqTTkT5Ng-j.png)

> *Starts the test all by himself:*

![](https://miro.medium.com/v2/resize:fit:1400/0*LR2J-n73QFZ2UCI2.png)

> *Made some observations during the test:*

![](https://miro.medium.com/v2/resize:fit:1400/0*URDYac83tjVfXKAM.png)

> *And created a prompt to generate the Google Forms — again, *no input from me*:*

![](https://miro.medium.com/v2/resize:fit:1400/0*q00-kCOt80OkJyGC.png)

> *Then it waited patiently for the results:*

![](https://miro.medium.com/v2/resize:fit:1400/0*Gwo50Lpn0oF3nzjt.png)

> *And finally observed and evaluated the results:*

![](https://miro.medium.com/v2/resize:fit:1400/0*r7gB4-IZS66912hX.png)

> *With questions, comments and suggestions for improvement:*

![](https://miro.medium.com/v2/resize:fit:1400/0*e10NleQj3NBs_O_n.png)

**Mission accomplished**.

I was once again **blown away** by the level of autonomy and professionalism. The task, which was so unspecific, was completed and the result achieved in a matter of minutes while I was on a coffee break.

And the cost? Less than **1$**

# Evaluation

As you may have noticed, this was an **open task** that **most agents I have seen over the years have failed**. And as explained in previous articles, the core enabler is a whole new level of reasoning and vision **capabilities** in Claude Sonnet 3.5.

There are many scientific articles about this technology, but what really matters for business is simple:

> **What can this technology do now and at what cost.**

# What other tasks can Computer Use Execute Today?

The simple answer is: **(almost) anything a human can do with a computer and a mouse**. Of course, the data (and knowledge) must be available.

Fill out surveys, perform click and point tasks such as testing, data entry, etc. and much more.

Note, however, that Claude’s **motor** skills are still limited and slow. **Tasks** such as dragging and dropping, scrolling, etc., which skilled humans can do, will be far **less effectively performed** by a human robot like Claude than by a human.

But again, I don’t think Anthropic (and other followers) will stop here.

# Where do we go from here?

As with any technology, there are many caveats and limitations that need to be considered before this technology can be implemented in production-ready solutions, even internally.

But it is only a matter of time.

Just to give you an idea of how fast we are moving, as a simple example, **context length** (the maximum amount of text you can feed an LLM Chat Window in a conversation) was around 4.000 tokens less than 2 years ago.

Now we are talking about 1 million (Gemini) and soon even **10 million Tokens**.

# What should the gig economy do?

I think GenAI in general is going to affect every single one of us sooner or later.

But I don’t like to talk about threats;

I prefer to see every disruption as an **opportunity** to evolve.

And it’s the same with GenAI.

And here is what I personally am doing to face this disruption:

**Understand it**

**Learn it** and

**Use it** in my domain and beyond.

It is an opportunity for us to become better at what we do, and to move on to levels that AI still cannot.