If you are 23 and feel stuck in your IT career, AI is not your imagination. It is actually happening
Entry-level jobs in IT and AI-exposed fields have fallen by 13% to 16% in recent years. Companies are cutting junior hiring while keeping senior roles intact. Workers aged 22 to 25 are the first to feel this shift, and research is now calling them the “canaries in the coal mine” of the AI disruption era.
It is not just job anxiety. 4 specific forces are making the quarter-life crisis worse than ever
*AI is automating the exact tasks junior IT workers do, including debugging, basic coding and data entry, eliminating the traditional career entry point.
*Social media creates a comparison trap where everyone else looks like they have it figured out by 25.
*Fear that your current role will be obsolete in 2 to 3 years creates constant background anxiety.
*Fewer junior roles means fewer chances to build the foundational skills needed to grow.
You already have skills AI cannot replace. You just do not realise their market value yet
Even entry-level IT experience builds capabilities that are genuinely hard to automate. The key is reframing what you already know in terms that non-IT employers actually value. Debugging complex systems translates to structured problem-solving under pressure. Stakeholder updates and ticket management translate to client management and expectation setting.
4 roles where your IT background is a head start, not a liability.
*AI Product Manager: Guide how AI tools are built and deployed. Your technical fluency is a rare advantage here.
*Data analytics and strategy: Interpret AI-generated insights for business decisions, not just produce the data.
*Technical sales and consulting: Sell complex solutions that require human trust and deep product knowledge.
*Customer experience and success: Empathy-heavy, relationship-driven roles that AI cannot replicate.
Your resume matters less than what you can show. Here is how to build proof fast.
1.Build side projects that solve real problems, even small ones. A working prototype beats a certification.
2.Contribute to open-source projects on GitHub to create a visible, public track record.
3.Take one or two freelance projects on Upwork or Fiverr in your target field to get real-world proof.
4.Try an internal transfer first. Moving to product or strategy at your current employer is the lowest-friction switch.
5.Show you can use AI tools including prompt engineering, working with LLMs and automating workflows. This alone separates you from most candidates right now.
Stop sending cold applications. This one approach gets more callbacks than job boards.
Informational interviews on LinkedIn consistently outperform bulk applications in a tough market. Find 5 to 10 people already working in roles you want. Ask them one specific question: how do they use AI in their day-to-day work? Most people will respond. One conversation can open a referral door that no job board can.
Your LinkedIn profile needs to reflect your new direction, not your old IT job title. Update your headline, summary and skills before you start reaching out.
Feeling lost at 23 is not failure. Experts say it is actually a sign you are growing.
Research on the quarter-life crisis consistently shows that the anxiety of this phase is a signal of ambition and self-awareness, not inadequacy. The people who feel it most acutely are often the ones who want more meaning from their work. Your peers’ LinkedIn is a highlight reel. Career clarity takes years, not months. Uncertainty is part of growth. One small move beats perfect planning.
The goal is not to escape IT overnight. It is to make one strategic move toward roles where human judgment still wins over automation.