Career path in the age of AI

AI-generated summary

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In the CITCON 2023 Berlin session focused on career paths in the Age of AI, professionals discussed the increasing integration of AI tools like ChatGPT and GitHub's CoPilot in various job roles, from coding assistance to improving writing quality. While these tools boost efficiency, reduce cognitive load, and enhance content, concerns arise regarding generic outputs, context understanding, and data security, especially in sensitive sectors. Unique applications in multimedia production and content verification highlight AI's expansive reach. As the future unfolds, linguistic AI capabilities will grow in significance, possibly rendering traditional movie dubbing redundant.

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Anton Fredrick is changing jobs

What does a career path look like in the Age of AI.

Where are you in your career path now? How has it changed because of AI in the last 3 years?

Respondent 1: Lead Engineer It hasn't changed much. I use ChatGPT (paid version) to better organize my writing, but sometimes it turns out to be very generic. "I ask ChatGPT, 'How does this sound to you?'" I use it for coding. Like creating a server on Node.js Reduces my "cognitive load".

Respondent 2: QA Engineer GitHub CoPilot helps me a lot I don't have to type as much $10/month Does good naming for variables Using it for half a year As an independent contractor, it has not resulted in "raise". Algoria for sorting products on the website. More and more services out there. You have to trust the services you are paying form

Respondent 3: 12 yrs Test Automation to Engineering Manager AI hasn't changed much ChatGPT helps to improve the quality of User Stories I use a prompt and then moderate the output My team uses CoPilot All use ChatGPT for 360 Reviews, and the quality of the reviews is "different". ChatGPT generates some randomness. But the human-written reviews don't follow any "rules". It does NOT reduce the amount of time to write a "quality" review

Respondent 4: Ending Stage (Almost retired) QA Engineer, Test Automation AI suits me for getting answers that I used to get from Google. It's much faster because ChatGPT gives me the solution directly. Workflow is the same. Team doesn't use AI much. They are in the "discovery" phase.

Respondent 5: QA Engineer, Coaching the last few years CoPilot being used on the teams much more. Instead of "pairing", 1 engineer + copilot Using ChatGPT to analyze conversations. Approach difficult conversations from a different angle. Try this, try that. 8 years ago, we were talking about the "benefits of pair programming" The AI tools don't understand the "context"

Respondent 6: Team Lead on multiple teams, and programs for several clients ChatGPT to code, migrate SQL to mySQL Using it to write long-form text based off a few pointers. My teams are not using AI at all. Traditional BI teams

As an aside: Are the customers comfortable sending all that data to OpenAI servers? Some companies don't allow Financial companies without specific approval. Circumventing the rules could result in fines. How does this differ from using something like "PrettyJSON"? Anonymize the data. For example, if you could put it on StackOverflow. ChatGPT can help translating text, especially culturally appropriate. Ask ChatGPT to create a great prompt, like for Midjourney. Dall-E. Etc. ATS system scans the resume. There are tools that will create a perfect resume for you.

Respondent 7: Student Every essay is now made by ChatGPT. But ChatGPT has a function now to check to see if it produced the text. Remix tools for podcasts and videos. PremierePro can produce scripts. AdobeVoice (free) will remove room echo, to make it sound like you have a quiet room and great mic. Asks ChatGPT, "Is this good storytelling?"

Respondent 8: QA Manager Asking ChatGPT, "What are the most important DevOps metrics?" Make my text more formal. Less formal. My wife wrote a book and needed a cover, it was obvious that artists were generating artwork.

Respondent 9: Consultant, DevOps and Test Automation Some experience with CoPilot Managers are reducing team size because an engineer with CoPilot is so productive. Throwing away resumes that are AI-generated

Respondent 10: Consultant, DevOps ChatGPT to help me write technical documentation, I use it conversationally. I use it as an assistant. And BoyfriendGPT

Respondent 11: DevOps Team Lead Not allowed to use ChatGPT for public documentation Some hardware producers are building AI-specific equipment

In the Future:

• Linguistic capabilities are going to become more important
• Dubbing movies into other languages will be gone.