The job market facing graduates in 2026 looks nothing like what many students expected when they first enrolled in post-secondary education. **Entry-level roles are disappearing** in some industries, while artificial intelligence and broader economic pressures are reshaping which jobs exist and what skills employers value most.

“This is not your older siblings’ job market by any means,” says Catherine Fisher, a career expert and vice-president of communications at LinkedIn. However, the challenge for graduates today is not just a lack of jobs, but understanding where opportunities are shifting and which skills can move with them.

LinkedIn recently published a guide for recent graduates and found many of the most in-demand jobs are **not all highly technical AI roles**. Positions such as marketing assistants, recruitment coordinators, and other business-function jobs are still seeing strong demand from employers. “It was refreshing to see that,” Ms. Fisher says. “Those jobs that we’re all very familiar with are still really in demand for people entering the job market. So it’s not like, ‘oh my gosh, if you’re not an AI engineer, you’re not going to get a job.’ That’s not the story.”

LinkedIn’s latest list of fastest-growing jobs in Canada also includes a range of roles, including power systems engineers, car sales managers, and psychotherapists.

### Three Key Strategies for Graduates

**1. Understand where hiring is actually happening.** Use platforms like LinkedIn to identify in-demand jobs and tools such as the Job Match feature to better understand how existing skills align with available roles. “Either you have the skills and you’re a great match or maybe you don’t have those skills or you don’t have them on your profile yet,” she says.

**2. Avoid blending in with AI-generated applications.** Recruiters are increasingly seeing hundreds of nearly identical resumes and cover letters, making authenticity a differentiator. “You want to be able to stand out as much as you can and standing out also means not over relying on AI,” she says.

**3. Recognize you already have a professional network.** Professors, former managers, coaches, or family connections can all become valuable career contacts if approached thoughtfully. “You want to time bound it and have specific three questions – that’s it. It’s much easier for someone to say ‘yes I will talk to you for 15 minutes and answer those three questions.’”

Ultimately, Ms. Fisher says graduates need to rethink what early career success looks like in today’s economy. Ms. Fisher, who started her career as a bank teller, says graduates should focus less on finding a perfect first role and more on **building momentum**. “It’s not about finding that perfect job, it’s about finding a job that gives you an opportunity to grow your network, skills and experience,” she says.

### Fast fact: Degree disconnect

**42 per cent** of recent grads (aged 22-27) are working in jobs that don’t require degrees at all.

### Career conversations

For new grads, well-meaning advice from parents, teachers, and mentors often adds pressure instead of relieving it. According to psychologist Alexis Redding, they can help by rethinking a few common habits:
- Instead of telling grads to “find their passion,” ask specific questions about what interests and energizes them.
- Rather than treating a first job as a permanent choice, introduce the idea of a **“squiggly career,”** where pivots are normal.
- Instead of only pointing them toward senior professionals, encourage **“mirror mentors”** – people close to them who can reflect their strengths back to them.

### Quoted: Job jolts

“Jolts are an event that knocks us out of the autopilot our work life normally takes on. They put our relationship to work under the microscope, pushing us to reconsider the various tradeoffs we have been making and shortfalls that exist. They lead us to recalculate whether the benefits of staying outweigh the costs of leaving,” writes Harvey Schachter, drawing insights from the book *Jolted* by Anthony Klotz.

### On our radar: Patchwork paycheques

While the traditional staff job isn’t disappearing entirely, the expectation of long-term career security with a single employer has eroded. **Freelance, fractional, and “portfolio career” models** are on the rise, though experts warn that independent work comes with real downsides such as unstable income, no benefits, and a loss of workplace belonging.

The job market for 2026 graduates is being reshaped by AI and economic pressures and 
LinkedIn’s Catherine Fisher has advice for new grads

Forget the Perfect Job: Why Momentum Matters More for New Grads in 2026

The tech labor market produced two numbers on Monday, June 1, 2026, that belong in the same sentence. TrueUp's workforce tracker registered **148,092 displaced workers** since January 1 — a daily rate of 981 jobs, running 46% above the 2025 average — while NACE's Job Outlook 2026 Spring Update confirmed that **demand for AI skills in entry-level jobs has nearly tripled** since fall 2025, now appearing in 35% of early-career postings. For anyone entering or trying to reenter the tech workforce, those two numbers define the same reality: the old job description has changed faster than most applicants' preparation for it.

The damage is concentrated where it lands hardest. The Stanford Institute for Human-Centered AI's 2026 AI Index found that **employment for software developers aged 22 to 25 fell nearly 20%** since 2024 — precisely the cohort that entered the workforce as generative AI tools became standard at large employers. Developers aged 30 and older at the same companies saw employment grow between 6% and 12% over the same period. AI is not eliminating software engineering as a discipline. It is **eliminating the specific tasks that junior developers were hired to perform**: boilerplate code, scripted testing, routine bug fixes.

### Tech Layoffs 2026: Scale Behind the Advice

Understanding the career-guidance picture requires understanding how large the displacement wave actually is. TrueUp's June 1 count of 148,092 represents a **46% acceleration over 2025's average pace** of 674 jobs per day, and puts the sector on course for roughly 370,000 total displaced workers by year-end.

Outplacement firm Challenger, Gray & Christmas found that **AI was the stated reason for approximately 25–26% of tech layoffs** in March and April 2026, making it the leading single cause for two consecutive months. The firm's year-to-date data also shows that market and economic conditions remain the larger cumulative driver, accounting for more than 53,000 announced cuts compared to AI's 49,135 — meaning applicants trying to understand the landscape are navigating a mix of genuine AI displacement and routine corporate restructuring dressed in AI framing.

A Goldman Sachs analysis published in April 2026 put a net figure on AI's direct contribution: roughly **16,000 U.S. jobs per month**, with AI eliminating approximately 25,000 positions monthly while augmentation creates about 9,000 new ones. The substitution falls hardest on routine, codifiable work — exactly the tasks that once defined entry-level roles.

### Two Job Markets Running in Opposite Directions

The headline job-posting numbers hide a structural split that changes depending entirely on which part of tech you target. According to Indeed Hiring Lab data, **ML engineer openings are up 59%** above the February 2020 baseline — one of the very few tech roles that has meaningfully exceeded pre-pandemic levels. **General software engineering openings remain 49% below** that same baseline. AI/ML engineer postings grew 85% year-over-year. Entry-level postings fell from 8.1% to 7.4% of the total IT job mix year-over-year, while senior-level postings climbed from 38.8% to 43.1%.

**Cybersecurity** is the other major growth category. Security engineering postings grew **124% year-over-year**, and the global talent shortage in cybersecurity remains unresolved, keeping demand strong for workers with specific certifications. Data center AI operations roles — managing GPU clusters, inference workloads, and the physical infrastructure behind large language models — have become among the most accessible entry points into the AI ecosystem for workers with cloud or IT operations backgrounds.

The important nuance: "AI/ML roles" does not mean building foundation models from scratch. Most of the growth is in **application-layer work** — integrating existing models into enterprise workflows, building retrieval-augmented generation pipelines, managing ML inference infrastructure. These roles require genuine technical depth but are accessible without a PhD.

### What AI Skills Actually Pay Right Now

The **56% wage premium** for workers with AI skills, documented in PwC's 2025 Global AI Jobs Barometer, is real but its distribution is not uniform. At the entry level the premium is modest — estimated at around 6% by some analyses — and grows sharply with seniority. What generates the premium at the entry level is not AI knowledge alone but the combination of AI tooling fluency with a genuine technical foundation.

The skills commanding the highest premiums in 2026 hiring data are **LangChain, retrieval-augmented generation, vector databases, and multi-agent orchestration frameworks**. PyTorch appears in 37.7% of all AI job postings. Cloud certifications — specifically AWS Certified Machine Learning Specialty and Google Professional Machine Learning Engineer — carry **20–25% salary premiums** over non-certified peers. Machine learning skills carry a 40% wage premium in posted role data; TensorFlow expertise adds 38%.

The salary consequence is concrete. AI/ML engineers at mainstream tech employers start at approximately **$134,000** according to the Robert Half 2026 Salary Guide, compared to general software engineer starting ranges. The more accessible near-term move for entry-level applicants is demonstrating AI tooling fluency within an existing development, security, or operations skill set — not pivoting entirely to ML research.

### Is a CS Degree Still Worth It in 2026?

The credential debate has sharpened as the job market has tightened. **CS degree graduates start at approximately $79,000 to $80,000** and achieve employment rates of 93–94% within six to twelve months, according to aggregated research. Coding bootcamp graduates start lower — approximately **$65,000 to $72,000** — with placement rates of 71–79% within six months from reporting programs. The gap is real but narrows over time as skills accumulate.

The more important shift is what employers are actually screening for. Approximately **72% of employers now report they view bootcamp graduates as equally prepared** for entry-level roles, provided the candidate's portfolio and demonstrated skills match what a degree holder would bring. That conditional does a lot of work: a bootcamp graduate with no AI-relevant project is in a materially different position from one who can demonstrate retrieval-augmented generation pipeline work, model evaluation, or cloud deployment.

The internship signal is equally clear: nearly **65% of CS graduates who completed an internship received job offers** before finishing their degrees, compared to just 30% of those without internship experience, per NACE data. In a market where demonstrated production experience is the primary screening signal, an internship — at any size company — functions as a credential multiplier regardless of the issuing institution.

### How to Get a Tech Job in 2026: Where Entry-Level Applicants Are Actually Getting Hired

The most underreported story in the 2026 graduate market is where the actual hiring is happening. Gusto's 2026 New Grad Hiring Report found that approximately **974,000 graduates aged 20 to 24 will be hired at small businesses** — companies with one to 49 employees — during the April-through-September hiring season, up from 962,000 last year. This is where the vast majority of entry-level hiring is occurring while large-company listings have contracted.

"Large companies are playing defense. Small businesses are playing offense," said Aaron Terrazas, chief economist at Gusto, in a Fortune analysis of the data. "When big employers pull back on entry-level hiring, small businesses see an opening." The Class of 2026 has an advantage at these employers specifically because it is the first graduating cohort to have completed its entire higher education in the generative AI era — making **AI-native fluency a genuine differentiator** at smaller firms that have not yet built dedicated AI infrastructure teams.

IBM's decision to **triple U.S. entry-level hiring in 2026**, reported by Bloomberg in February, reflects a related logic. IBM's chief human resources officer Nickle LaMoreaux stated that the company revised junior developer job descriptions to de-emphasize tasks AI now handles, shifting early-career workers toward customer engagement and problem-solving — roles where AI augments rather than replaces. "The entry-level jobs that you had two to three years ago, AI can do most of them," LaMoreaux said at Charter's Leading With AI Summit. "So, if you're going to convince your business leaders that you need to make this investment, then you need to be able to show the real value these individuals can bring now."

Salesforce separately launched its **Builder program**, specifically targeting 1,000 AI-native graduates to develop its Agentforce platform across engineering, product, and sales roles. CEO Marc Benioff framed the initiative as a direct rebuttal to the idea that AI eliminates entry-level work: "We're hiring 1,000 new grads and interns right now to ride the AI exponential."

Starting salaries for new grads at small businesses averaged **$65,734** for the Class of 2026 — a meaningful increase from $62,801 the year prior, though still approximately 6% below inflation-adjusted 2019–2022 peaks. The **Founding Engineer** title — engineers who join very early-stage startups in a founding capacity — is up 390% as a job title for new graduates, a signal that some portion of the entry-level cohort is creating roles rather than waiting for them.

### What Entry-Level Applicants Should Target Right Now

The career advice that follows from the data is specific rather than generic.

- **Target the bifurcation, not the average.** ML engineer openings and general SWE openings are moving in structurally opposite directions. An applicant positioning for AI/ML, cloud infrastructure, cybersecurity, or data center operations is competing in a very different market from one targeting traditional junior software engineering roles.
- **Demonstrate AI tooling fluency with a concrete artifact.** The gap between "AI user" and "AI operator" is creating pricing power for candidates who can show they have done the work. A GitHub repository demonstrating a retrieval-augmented generation pipeline, a model evaluation framework, or a cloud deployment carries more weight than a certification alone. The employer screening signal has shifted: what distinguishes a candidate today is evidence of judgment and system-level thinking applied to a real problem.
- **Don't overlook small and midsize employers.** The 974,000 small-business grad hires projected for 2026 represent the real employment floor for recent graduates. A small firm that has not yet deployed AI infrastructure is often more willing to hire an AI-native entry-level worker than a large firm with a dedicated team already in place.
- **Use the Gartner finding as a targeting signal.** Gartner's May 2026 research found that 80% of companies deploying AI had cut headcount, but those cuts showed zero correlation with AI return on investment. The companies generating the highest returns were those treating AI as a tool for amplifying workers, not replacing them. These are the employers worth targeting — organizations building AI-augmented teams where entry-level workers who can function as AI operators have a durable role.

Tech-sector unemployment stood at **5.8%** in early 2026 — the highest since the dot-com bust of 2001–2002 — and the median re-employment time for a displaced tech worker stretched from 3.2 months in 2024 to 4.7 months in 2026. Neither figure is disqualifying for an applicant who enters with the right positioning. Both are important signals about how much room there is for error in role and employer selection.

### Frequently Asked Questions

**Are there still entry-level tech jobs in 2026?**

Yes, but concentrated in different roles than before. ML engineer openings are up 59% above pre-pandemic levels, AI/ML engineer postings grew 85% year-over-year, and cybersecurity postings grew 124%. General software engineering openings remain 49% below the pre-pandemic baseline. Entry-level workers who can demonstrate AI tooling fluency, cloud skills, or security certifications are competing in a growing market; those targeting traditional junior software development roles face a market that has structurally contracted.

**What AI skills should I learn for a job in 2026?**

The skills commanding the highest premiums in hiring data are LangChain, retrieval-augmented generation, vector databases, and multi-agent orchestration frameworks. PyTorch appears in 37.7% of all AI job postings. Cloud certifications — AWS Certified Machine Learning Specialty and Google Professional Machine Learning Engineer — carry 20–25% salary premiums over non-certified peers. Beyond specific tools, hiring managers are screening for demonstrated AI workflow integration: candidates who can show a concrete project deploying AI in a real system, not just theoretical knowledge of the tools.

**Is a CS degree still worth it in 2026?**

CS degree graduates start at approximately $79,000 to $80,000 and achieve employment rates of 93–94% within six to twelve months, compared to bootcamp graduates who start at $65,000 to $72,000 with placement rates of 71–79%. The gap narrows over time, and approximately 72% of employers now view bootcamp graduates as equally prepared for entry-level roles, provided their portfolio demonstrates equivalent skills. The most reliable differentiator in either path is internship experience: CS graduates with an internship received job offers at twice the rate of those without.

**How many tech workers have been laid off in 2026?**

TrueUp's layoff tracker, updated June 1, 2026, shows 148,092 tech workers displaced across 354 events since January 1 — a daily rate of 981 jobs, running 46% above the 2025 average of 674 per day. Challenger, Gray & Christmas data shows AI was the leading stated reason for tech layoffs in both March and April 2026, though market and economic conditions remain the largest cumulative cause of all U.S. job cuts year-to-date.

Entry-level tech jobs in 2026 are not gone — they have moved. As 148,092 tech workers are displaced at 981 per day, ML engineer openings are up 59% while general software postings sit 49% below

Tech Layoffs 2026: 148K Cuts Reveal the Only Skills That Still Get You Hired

A recent surge in public statements and announcements about the impact of AI on work and the labour market is raising uncertainty for entry-level jobs in Ireland. Ireland's economy is heavily reliant on technology companies, and a survey by recruitment platform **IrishJobs** found that **nearly half** of Irish employers have reduced entry and graduate-level roles this year.

Recent graduates interviewed by RTE reported that job hunting has become harder, with fewer opportunities and growing concern about automation. A UCD graduate noted that they don't know anyone in their year who has gotten a job, while another graduate said automation feels like a threat to entry-level work.

### What happened
RTE reports a recent proliferation of announcements and public statements about the future of work and the impact of **AI** on the labour force. RTE notes **Ireland**'s economy is highly exposed to technology companies. RTE cites a survey by recruitment platform **IrishJobs** showing **nearly half** of Irish employers have reduced entry and graduate-level roles available this year. RTE's Primetime coverage includes interviews with graduates, including a UCD graduate who said they do not know anyone in their year who has gotten a job, and a graduate quoted as saying automation feels like a threat to entry-level work.

### Editorial analysis - technical context
Companies integrating automation and AI into operational roles commonly first reduce or reconfigure entry-level and repetitive tasks, which can steepen competition for junior hires. For practitioners, that pattern raises emphasis on **measurable, differentiated entry-level skills** and on tooling that demonstrates applied domain competency rather than generic qualifications.

### Industry context
This is an industry-wide pattern rather than a claim about any single employer's internal plans.

### What to watch
Track follow-up surveys from **IrishJobs**, public hiring data from major tech employers in Ireland, and government labour reports for shifts in graduate intake. Observers should also monitor skills-demand signals in job postings for early-career roles to see which tasks are being automated or upskilled.

RTE reports a recent surge in public statements and announcements about the impact of **AI** on work and the labour market. RTE notes that **Ireland**'s economy is heavily reliant on technology companies and that a survey by recruitment platform **IrishJobs**, cited by RTE, found **nearly half** of Irish employers have reduced entry and graduate-level roles this year. RTE interviewed recent graduates who said job hunting has become harder; the programme quoted a UCD graduate and others describing fewer opportunities and concern about automation. Editorial analysis: Industry observers and practitioners should read the combination of hiring pullbacks and public debate as an early indicator of how automation pressures can concentrate on entry-level hiring and graduate pipelines.

AI Threatens Entry-Level Jobs in Ireland: Nearly Half of Employers Cut Graduate Roles

Summer is the ultimate season of opportunity. For **job seekers** (students and recent grads), it's the perfect window to gain invaluable experience, build a resume, or make some serious cash. For **employers**, it's a high-stakes race to lock in top-tier talent to scale operations or source future full-time hires.

But navigating the crowded landscape of job boards can feel like searching for a needle in a digital haystack. To save you time, we've rounded up the top 10 job search sites for summer employment, seasonal roles, and internships—tailored to give both candidates and hiring managers the competitive edge.

### 1. College Recruiter
College Recruiter believes that every student and recent grad deserves a great career…and that it should be easy for employers to hire them. Their customers are primarily Fortune 1,000 companies, government agencies, and other employers who hire at scale. They advertise part-time, seasonal, internship, and other early career job opportunities. They sit at the intersection of global (in dozens of countries), early careers (0-5 years of experience), programmatic, and performance-based pricing.

### 2. Handshake
- **For Job Seekers:** Connects millions of students directly with university-vetted internships and early-career roles.
- **For Employers:** Offers a streamlined portal to recruit from thousands of colleges simultaneously, making it a powerhouse for building a university talent pipeline.

### 3. CoolWorks
- **For Job Seekers:** The go-to spot for "Jobs in Great Places," featuring summer roles at national parks, ski resorts, camps, and ranches.
- **For Employers:** Perfect for hospitality and outdoor recreation employers looking for adventurous, enthusiastic staff willing to relocate for the season.

### 4. Snagajob (owned by JobGet)
- **For Job Seekers:** Specialized in hourly work, allowing you to instantly find and apply to local, flexible summer gigs in retail and food service.
- **For Employers:** Built for high-volume, rapid hiring, helping managers quickly fill seasonal shifts with local talent.

### 5. WayUp (owned by Yello)
- **For Job Seekers:** Helps students and recent grads discover internship opportunities while providing personalized profile tools to stand out to top brands.
- **For Employers:** Provides robust data and sourcing tools to help companies reach diverse, qualified candidates for their specialized summer internship tracks.

### 6. Indeed
- **For Job Seekers:** As the world's largest job site, its massive database lets you filter explicitly for "summer" or "seasonal" keywords in any industry.
- **For Employers:** Gives brands unmatched candidate reach and flexible pay-per-performance posting options to scale seasonal hiring quickly.

### 7. LinkedIn
- **For Job Seekers:** Ideal for securing high-caliber corporate internships while simultaneously expanding your professional network and showcasing your skills.
- **For Employers:** Allows companies to leverage targeted advertising and direct sourcing to find motivated, top-tier students who align with their company culture.

### 8. Chegg Internships
- **For Job Seekers:** A highly focused hub packed with internship listings, career guides, and resume-building resources designed specifically for students.
- **For Employers:** Gives direct, uncluttered access to a deeply engaged audience of college students actively looking to build academic credit and career experience.

### 9. SummerJobs.com
- **For Job Seekers:** Delivers exactly what it says on the tin—focusing heavily on camp counselor positions, resort staff, and amusement park gigs.
- **For Employers:** A niche job board that eliminates the noise, connecting seasonal, youth-focused organizations with eager applicants.

### 10. ZipRecruiter
- **For Job Seekers:** Uses powerful AI matching technology to send your profile directly to employers, allowing you to apply to summer jobs with a single click.
- **For Employers:** Instantly scans millions of resumes to pitch your seasonal openings to qualified candidates, dramatically shortening the hiring cycle.

Summer is the ultimate season of opportunity. For job seekers (students and recent grads), it’s the perfect window to gain invaluable experience, build a resume, or make some serious cash. For employers, it’s a high-stakes race to lock in top-tier talent to scale operations or source future full-time hires. But navigating the crowded landscape of […]
