The first rung is gone. Here is how to skip it.
In late September 2025, a venture-capital research firm called SignalFire published a number that should have ended the career-services industry as we know it. Among the largest public technology firms and maturing venture-backed startups, the firm reported, the share of new hires with less than one year of post-graduation work experience had fallen by approximately 50% over five years. SignalFire’s head of research, Asher Bantock, told CNBC the figure was an accurate representation of the hiring delta across sales, marketing, engineering, recruiting, operations, design, finance, and legal — every core business function, in unison. [1]
The math is brutal. If you are graduating in the spring of 2026, you are competing for roughly half the entry-level seats your immediate predecessors had access to.
Revelio Labs put the broader figure at -35% for U.S. entry-level postings since January 2023. [1] The UK saw graduate technology roles fall 46% in 2024 alone, with another 53% drop projected through 2026. [7] The job-search platform Indeed reports software-development postings down 53% from their late-2022 peak. [5] The National Association of Colleges and Employers’ Class of 2026 hiring forecast — the closest thing the industry has to an annual benchmark — projects a 1.6% increase over Class of 2025, a number that, adjusted for the larger graduating cohort, signals functional contraction. [7]
This is not a recession story. The S&P 500 closed 2025 at all-time highs. This is a structural story, and the structure has a name: AI substitution at the entry-level rung.
What actually changed
The clearest framing of the underlying mechanic comes from the Federal Reserve Bank of Dallas, where economist Tyler Atkinson published research in February 2026 arguing that artificial intelligence performs codified knowledge — the kind that can be written down, taught from a textbook, or extracted from documentation — well, while underperforming on tacit knowledge gained from experience. [2]
The implication is precise. Entry-level work, almost by definition, is codified work. It is the documented procedure, the standard report, the first-draft memo, the rote analysis. AI can do all of it. Experienced work is tacit. AI cannot — yet — do the negotiation, the judgment call, the read-the-room moment, the institutional context.
So firms keep their senior people, increase their senior wages (the computer-systems-design sector saw nominal wages grow 16.7% since fall 2022, more than double the 7.5% national average), and decline to hire the juniors who used to be the senior pipeline. [2] In Atkinson’s data, entry-level employment in AI-exposed industries is falling not because of layoffs but because the job-finding rate has collapsed for new workers.
The career ladder is not broken. The first rung is gone.
The contrarian opportunity nobody talks about
Here is the part that almost every viral “AI is killing your career” article leaves out.
In a Fortune report published May 1, 2026, payroll platform Gusto projected that approximately 974,000 new graduates aged 20-24 will be hired by U.S. small businesses (defined as firms with 1-49 employees) during the April-September 2026 hiring season. [4] That is roughly the population of San Jose, California, walking into mom-and-pop businesses, regional firms, and small professional shops, while large public companies cut their entry-level postings.
Gusto economist Aaron Terrazas was direct about the dynamic in his comments to Fortune: small businesses are playing offense. When big employers pull back on entry-level hiring, small businesses see an opening. [4] The Class of 2026 grew up with AI as a native tool — not an adopted skill — and small business owners, who cannot afford the change-management cost of retraining a senior workforce, see in this generation the fastest path to digital transformation.
This is the opening. It is also where most graduates do not look.
The two-tier reality
The research firm Rezi, in its January 2026 entry-level labor market report, framed the emerging landscape as a split between two cohorts. [7]
The AI-Augmented Elite are graduates who have mastered agentic AI workflows, can demonstrate functional output (not just GPA), and gain entry through competitive apprenticeships, internal residencies, or AI-native small business roles.
The Displaced Middle are graduates with generic four-year degrees, no demonstrated AI fluency, and no portfolio of project-level work. This cohort is being routed into lower-wage service work or gig data-annotation roles. The report concludes the displacement is not a temporary glitch but a structural feature of the AI-enabled economy.
The actionable insight: which cohort you land in is largely under your control, and the levers are not the ones career services were teaching five years ago.
Six moves that actually work in 2026
These come directly from the data and from what employers are now telling researchers they look for. They are tactical, not motivational.
1. Demonstrate functional AI fluency, not credentialed AI training. A Yale Chief Executive Leadership Institute (CELI) study released in late April 2026 found that only 10% of senior technology leaders considered recent graduates “sufficiently or very well prepared” for AI-enabled workplaces. Nearly a third said graduates were unprepared. [5] The fix is not another certificate. It is a portfolio that shows you have used AI to solve a real problem, and that you can articulate where it failed and why.
2. Apply to small businesses first, not last. This inverts conventional career-services advice. The hiring math now favors firms with 1-49 employees — those are where the 974,000 hires are happening. [4] They want the AI-native generation specifically because their senior workforce did not grow up in it.
3. Quantify everything. A 2025 SHRM survey found resumes containing measurable achievements (“reduced reporting time 40%”) receive significantly higher recruiter callbacks than vague responsibility statements. In an AI-screening environment, hard numbers are also one of the few signals that algorithms cannot dismiss as boilerplate.
4. Apply to industries where AI is augmenting, not substituting. Stanford’s Digital Economy Lab released findings in early 2026 indicating that occupations where AI augments worker capability (rather than replaces tasks) are showing less early-career employment dip. [3] Healthcare, regulated financial services, advanced manufacturing, and skilled trades all fit this pattern. Healthcare entry-level postings, per the CELI report, rose 13 percentage points against the broader trend.
5. Pursue an AI residency or apprenticeship if your sector has one. Several major firms — including Anthropic and OpenAI — are striking deals with universities to create structured AI apprenticeship programs that more closely resemble medical residencies than internships. [1] These are formal “paid residency” pathways replacing the traditional entry-level role for the relevant industries. They are competitive, but they are increasingly the cleanest path for AI-Augmented Elite candidates.
6. Write your resume to be parsed by an AI before it is read by a human. This is no longer optional. Approximately 97.8% of Fortune 500 companies use Applicant Tracking Systems, and 83% now use AI-augmented screening as part of the pipeline. Industry estimates from Harvard Business School’s “Hidden Workers” research and corroborated by independent vendor data place the automated rejection rate at 70-75% before any human sees the resume. [8]
Tools like CapCore’s ATS Optimizer and Resume Review are designed for this gating mechanism. The point is not to “trick” a system; it is to ensure your real qualifications are recognized by the algorithm well enough to reach a human reviewer.
The mindset shift that matters most
Heather Doshay, a partner at SignalFire and co-author of the firm’s research, told CNBC something that does not appear in most coverage of the entry-level crisis: the loss of clear entry points does not just shrink opportunities for new graduates — it reshapes how organizations grow talent from within. [1]
She is describing the second-order problem. Companies that cut their junior pipeline now will, within five to seven years, have no senior pipeline. Some firms understand this. Cognizant, despite enterprise-wide AI deployment, hired 25,000 fresh graduates in 2025 and projected exceeding that number in 2026. [6] Their stated reason: digital natives ramp faster on AI tooling than the existing workforce, and the absence of a junior cohort threatens succession.
The firms that get this — and they are mostly small to mid-sized firms today, with a few thoughtful large-cap exceptions — are the firms hiring. Find them. Apply. Show your AI work.
The career ladder is broken. You do not need to fix it. You need to climb a different wall.
Tools that help
- SmartHire pillar — full toolkit for AI-era job search
- ATS Optimizer — pass the 70-75% automated rejection gate
- Resume Review — human + AI review for the AI-screening era
- LinkedIn Optimization — be findable to small-business recruiters
- Career Coaching — 1-on-1 strategy for the AI-disrupted market
Sources
- CNBC, AI is not just ending entry-level jobs. It’s the end of the career ladder as we know it. (September 2025) — SignalFire research.
- Federal Reserve Bank of Dallas, AI is simultaneously aiding and replacing workers, wage data suggest. (February 2026)
- IEEE Spectrum, AI Shifts Expectations for Entry Level Jobs. (February 2026) — NACE Job Outlook 2026 data; Stanford Digital Economy Lab findings.
- Fortune, Forget Big Tech: Small businesses will hire nearly 1 million grads in 2026. (May 1, 2026) — Gusto data; Aaron Terrazas commentary.
- Fortune, AI won’t kill your job — it will kill the path to your first one. (April 29, 2026) — Yale CELI research.
- World Economic Forum, How AI is changing the nature of entry level work. (March 2026)
- Rezi, The Crisis of Entry-Level Labor in the Age of AI 2024-2026. (January 2026)
- Harvard Business School Project on Managing the Future of Work, Hidden Workers: Untapped Talent. Industry-corroborated ATS rejection-rate estimates from 2024-2026 vendor data.
All statistics cited as of May 5, 2026.
About this article
This article was prepared by the CapCore Editorial team for educational and informational purposes. It does not constitute career, financial, legal, or psychological advice and does not guarantee any employment, hiring, salary, or career outcome. Individual results vary significantly based on factors outside the scope of this article. Readers should make career decisions based on their own circumstances and, where appropriate, consult qualified professionals. CapCore Systems LLC is not responsible or liable for any decisions, actions, or outcomes resulting from the use of this content.
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