AI Is Reshaping Entry-Level Jobs — Are You Ready to Compete?

Landing your first job — or moving to a better one — has never been more competitive. Even computer science graduates and skilled professionals are finding it harder to break into the market as artificial intelligence transforms how companies hire and operate.

What’s happening

The job market for new computer science grads is shifting fast. What used to be a relatively sure path—finish a CS degree, land an entry-level developer role—is no longer as stable. According to the article, some firms report that AI systems are already writing as much as 20 % of their code. That level of automation means fewer traditional “graduate” or junior roles in software companies, especially ones focused on routine coding tasks. The ripple effects: fewer job offers for newcomers, increased competition, and higher expectations from employers for experience or special skills.

Another way to look at it: the “entry-level” job ladder is being redefined. What employers once treated as a role for fresh grads might now require skills that go beyond what many standard university CS programs delivered. The article notes new grads feeling discouraged when they realize their degree doesn’t guarantee the job they expected.

What this means for you

As a digital project manager and founder of a consulting practice (SevenUp Career Consulting), the implications are worth unpacking for both you and your audience (clients, mentees, new grads, etc.).

For new grads / early-career tech professionals:

• You can’t assume that a CS degree alone will automatically open doors to a junior developer role.

• You’ll likely need to show either hands-on project experience (internships, open-source contributions, personal projects) and some familiarity with AI/automation tools, or skills that go beyond writing basic code.

• Consider emphasising adaptability: ability to integrate AI tools, collaborate with hybrid human-AI workflows, and perhaps shift toward roles like “AI-augmented developer”, “tool integrator”, “automation engineer”.

• Networking, continuous learning (micro-certifications, bootcamps, etc), and showcasing a portfolio may become more important than ever.

For hiring organisations / consulting clients you might advise:

• If your clients hire junior tech talent, they may need to rethink what “junior” means. The role may need to be designed with more mentorship and more defined scope for learning.

• They may find that the talent pipeline is thinner than before—so investing in training, or partnering with universities/bootcamps, could be a differentiator.

• Project managers need to be aware that team composition may shift: fewer purely “fresh coder” roles, more hybrid roles combining human + tool + AI. That means your consulting work needs to account for changing workflows, upskilling, and perhaps even role redesign.

For your consulting business (SevenUp Career Consulting):

• This trend presents both a challenge and an opportunity. On the challenge side: your clients (graduates or organisations) will need more tailored guidance and support because the standard career path is disrupted.

• On the opportunity side: you can position your practice as helping clients navigate this new landscape—how to build a resilient early-career strategy, how to project-manage a career when the definition of “entry-level” is changing, how to help organisations redesign roles and onboarding in the AI-era.

• Consider creating content, workshops or tools focused on “AI-aware early-career trajectories” or “career resilience for CS grads in an automated world”.

  
  

Why this matters (bigger picture)

• Talent pipeline risks: If fewer entry-level roles are available, there’s a risk of a gap in the tech talent pipeline—fewer people getting their first job and gaining on-the-job experience. That’s a long-term problem for firms and the industry.

• Changing value of education: The article suggests the degree no longer guarantees the same job certainty as before. That shifts the focus from “I got a CS degree, I’ll get a job” to “What else do I bring to the table?”

• Impact on diversity & opportunity: If firms demand more from new grads (experience, special skills, AI familiarity), then there’s a risk that those from less-privileged backgrounds (who may have had fewer opportunities to build side projects or internships) are disproportionately affected.

• Role of project managers: As workflows change (with AI writing code, or performing routine tasks), project managers will need to adapt: managing human+AI teams, redefining tasks, aligning skill development, and overseeing learning and adaptation rather than just execution.

• Strategic shift for organisations: Companies may shift hiring practices, emphasise more senior/junior mix, invest in retraining, or change the kinds of tasks that they assign to juniors. This is not just a candidate problem – it’s a business model problem.

What you can do right now

• Encourage early-career clients to build projects: side coding projects, contributions to open-source, internships, or freelancing—even if small scale—to show doing rather than just degree.

• Help clients develop AI literacy: understanding of tools, prompt-engineering basics, how to work with AI/automation in a technical environment.

• For organisations: design “junior” roles with mentorship baked in, clear progression paths, and roles that complement, rather than compete with, AI tools.

• Incorporate the human-plus-AI narrative into consulting materials: show clients how workflows are evolving and where the value lies (creativity, domain understanding, teamwork, system design) rather than rote coding.

• Monitor and advise on skill-based hiring trends: more firms are focusing on skills more than just degrees. A 2023 academic paper showed the rise of skill-based hiring in AI roles.

• Keep an eye on how job postings are evolving: what skills are being required, what roles are disappearing, what new roles are emerging (prompt engineering, AI tool integration, human-AI teaming).

Looking ahead: what to watch

• Will the reduction in entry-level roles be temporary (due to economic conditions) or structural (due to AI permanently changing how junior tasks are handled)?

• Will educational institutions (universities, bootcamps) pivot quickly to align curricula with hybrid human-AI workflows?

• How will compensation and expectations for early-career tech professionals change? Will there be wider gaps in experience, or new “junior+” roles?

• How will organisations maintain their talent pipelines if fewer grads are entering via the conventional route? Will we see more apprenticeship or internal-trainee programs?

• How will the narrative of “entry-level job = starting block” change for the next generation of talent?

In summary: The tech hiring environment is shifting under your feet. For early-career professionals and those you support through your consulting business, the message is: don’t rely solely on the degree; be proactive about real experience, adaptability, and familiarity with AI/automation tools. For project managers, hiring organisations, and your consulting clients, the challenge is to rethink how roles are structured, how talent is onboarded, and how to build resilience into the talent strategy.

Reference:

“Computer science graduates face shifting job market as AI disrupts entry-level roles”, CTV News (Oct. 19 2025). https://www.ctvnews.ca/canada/article/computer-science-graduates-face-shifting-job-market-as-ai-disrupts-entry-level-roles/