I GIve Myself 1 Year Before AI Takes My Job

Summary

• AI adoption at work: About a year prior, the speaker’s company began pushing AI tools into their existing workflow. They describe how tools that once required hours or days to plan, write, and test code could now generate working code in minutes.

• A turning point at an AI conference/workshop: At a recent conference workshop (lasting ~6–7 hours), the speaker learned how AI could be integrated into daily development practices. They were especially struck by a controversial-sounding idea: end-to-end application generation, where the user doesn’t need to see or write code.

• Fear of being replaced—and a decision to exit on their own terms: The speaker connects this “code-less” approach to their job security, concluding it may be time to engineer an exit before AI “engineers them out.” They’re not just reacting with doom, but strategically considering how to adapt.

• Background and career context:

  • They are a front-end software engineer with just under 6 years of experience.
  • They entered tech during the 2020–2021 boom (when recruiting and incentives were high), learning via platforms like freeCodeCamp and Codecademy and skills like HTML/JavaScript/React.
  • Due to COVID, they moved from China to Thailand, then Malaysia, continuing to build their future-proof plan.

• Shift in the job market: Over their career, they claim to have seen opportunities steadily decline—recruiter calls dropping from frequent to rare, then stopping around 2–3 years ago. They interpret this as evidence of a changing market and acknowledge broader unemployment pressure driven by AI and automation.

• Optimistic “alternative approach”: Instead of focusing on gloom, they argue that if people can generate apps and income with little coding experience, then someone with professional experience should be able to use AI tools to build something meaningful and competitive.

• New “main quest” direction (building with AI): They tie this to their past habit of pivoting across interests (sneaker collecting, 3D printing, tufting/ring making, cooking classes). Using a gamer/side-quest metaphor, they emphasize that side quests only matter if they support the “main quest.” Their main quest now is to build apps using AI, potentially earning enough to quit their job and possibly leave the UK.

• Content as accountability: They plan to document the process publicly (“building things in public”), with an emphasis on unfiltered/unapologetic reporting and personal accountability—both to improve their own commitment and to let viewers track progress.

• Personal milestone: They mention turning 35, describing it as a time of reflection and a moment to “lock in” and build something substantial.

Presenters / Contributors

• No other presenters or named contributors are mentioned in the subtitles (only “the presenter” at the conference workshop).