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<category>Bitcoin News</category>
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<title><![CDATA[11 Remote Entry-Level Jobs Paying $89K+ a Year: No Experience Needed]]></title>
<link>https://www.juniorremotejobs.com/article/11-remote-entry-level-jobs-paying-89k-a-year-no-experience-needed</link>
<guid>11-remote-entry-level-jobs-paying-89k-a-year-no-experience-needed</guid>
<pubDate>Thu, 02 Jul 2026 17:01:02 GMT</pubDate>
<description><![CDATA[Working from home used to feel like a perk. Now, for many professionals, it's the goal. If you're hoping to break into a high-income career without sacrificing flexibility, remote work has made it possible to earn serious money from anywhere and still get ahead financially.
Here are **11 remote-friendly jobs that pay at least $89,000 a year** and what it takes to qualify for them.
> Salary information comes from the Bureau of Labor Statistics (BLS).
### Financial Examiner
**Median annual salary: $90,400**
Financial examiners ensure banks and financial institutions comply with laws governing monetary transactions. As a financial examiner, much of your work will involve reviewing reports, analyzing data, and documenting findings. These tasks translate well to remote environments, as you don't need to be present in the office.
Most entry-level examiners need a **bachelor's degree with coursework in accounting** and receive on-the-job training from senior staff.
### Project Manager
**Median annual salary: $100,750**
If you enjoy keeping teams organized and making sure deadlines don't slip, project management could be a strong fit. Project managers oversee budgets, schedules, staffing, and deliverables, much of which happens through digital tools that support remote collaboration.
A **bachelor's degree in business or a related field** is typical, and while certification isn't always required, it can strengthen your application.
### Web Developer
**Median annual salary: $95,380**
Web developers build and maintain websites for businesses and organizations. Since coding, testing, and updates happen online, remote work is common in this field.
Educational paths vary from a high school diploma to a bachelor's degree, and **a strong portfolio often matters as much as formal education**. The best thing about being a web developer is that you can work with multiple clients, which increases your earnings.
### Data Scientist
**Median annual salary: $112,590**
As a data scientist, you turn raw numbers into insights that help companies make smarter decisions. The role relies on programming languages, analytics tools, and cloud platforms, which makes remote work a natural fit.
Most positions require at least a **bachelor's degree in math, statistics, computer science, or a related field**, and some employers prefer a master's or doctoral degree.
### Medical and Health Services Manager
**Median annual salary: $117,960**
Medical and health services managers oversee the business operations of healthcare facilities. While some roles require on-site oversight, many administrative responsibilities, such as budgeting, compliance reporting, and coordination, can be handled remotely.
Entry into the field typically requires a **bachelor's degree and prior experience in a clinical or administrative healthcare setting**.
### Art Director
**Median annual salary: $111,040**
If you're interested in leading the creative vision behind brands or media projects, a career as an art director could be worth exploring. Art directors shape the visual style of magazines, digital campaigns, product packaging, and productions, often guiding teams remotely through online collaboration tools.
To get started, you need a **bachelor's degree in design or a related field** and experience in roles like graphic design, illustration, or photography.
### Computer Network Architect
**Median annual salary: $130,390**
This career is ideal if you enjoy designing the backbone of company networks. Computer network architects build and implement LANs, WANs, and intranets, and many planning and monitoring tasks can be done remotely using secure digital tools.
Most roles require a **bachelor's degree in a computer-related field** and prior experience in network or systems administration, giving you the foundation to manage complex networks from anywhere.
### Software Quality Assurance Analysts and Testers
**Median annual salary: $108,460**
Ever wondered who makes sure apps and software actually work? Software quality assurance analysts and testers run and document tests to catch issues before release. They track defects, maintain databases, and collaborate with developers.
This position requires a **bachelor's degree in computer science or a related field**, but hands-on experience with testing tools can be just as valuable.
### Geoscientist
**Median annual salary: $99,240**
As a geoscientist, you study the Earth's physical structure and natural processes, turning data into insights about our planet. While some fieldwork is required, much of the analysis, modeling, and reporting can be done remotely.
Most positions require a **bachelor's degree**, and a master's is preferred for certain roles. Many states also require a professional license to practice in this field.
### Psychologist
**Median annual salary: $94,310**
Do you enjoy helping people navigate emotional and social challenges, or are you the kind of person friends turn to for advice? A career in psychology could be a great fit. Psychologists study behavior and mental processes to support individuals, and many now offer virtual sessions through telehealth platforms.
You will need an **advanced degree, such as a master's or doctorate**, along with state licensure to practice professionally.
### Construction Manager
**Median annual salary: $106,980**
Construction managers oversee projects from planning through completion, coordinating budgets, timelines, and teams. While site visits are sometimes necessary, planning, scheduling, and administrative oversight can often be handled remotely.
To become a construction manager, you must hold a **bachelor's degree** and gain management expertise through on-the-job training. Strong communication and leadership skills are also essential, as you'll be coordinating with multiple stakeholders to keep projects on track and running smoothly.
High-paying remote work is more achievable than ever. These 11 careers demonstrate that you can earn $89,000 or more while enjoying flexibility and location independence. Many of these roles are projected to grow steadily over the next decade. Focusing on the right combination of education and practical skills can help you secure a remote position that allows you to build real wealth while enjoying long-term career growth.]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>remotejobs</category>
<category>entry-level</category>
<category>highsalary</category>
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<title><![CDATA[Why Fully Remote Companies Are Ghosting Entry-Level Grads]]></title>
<link>https://www.juniorremotejobs.com/article/why-fully-remote-companies-are-ghosting-entry-level-grads</link>
<guid>why-fully-remote-companies-are-ghosting-entry-level-grads</guid>
<pubDate>Thu, 02 Jul 2026 04:00:43 GMT</pubDate>
<description><![CDATA[A recent study reveals a troubling trend: **fully remote companies are hiring fewer entry-level workers**, making it even harder for new grads to launch their careers. The lack of in-person mentorship and networking opportunities is leaving early-career employees struggling to grow.
### Key Takeaways from the WSJ Careers & Leadership Newsletter
**Remote work is making it harder for grads to find (and keep) jobs.** Early-career employees learn crucial skills from shadowing colleagues and networking, so those without an in-person office are struggling to grow. A London School of Economics study showed that entry-level hiring rates, already on the decline, are even lower at fully remote companies.
**There’s a new push to ready millions for AI career upheaval.** Policymakers, philanthropic groups and big companies across the country have joined a coalition called RAISE US. The group has raised over $500 million so far and says it aims to rethink employment policy, figure out ways to transition workers to new fields and explore corporate incentives to retain workers.
**M.B.A. pay is drifting down—and so is demand for the degree.** AI is shrinking the job market for analyst positions in finance and consulting, leaving even some top-tier M.B.A. students struggling to land jobs several months after graduating. Those with a business masters still have a leg up on their peers without one, but their job prospects and salaries are waning.
**Consultants are wrestling with a messy shift away from hourly billing.** With AI posing an existential threat to traditional consulting, firms are looking to switch to fixed or outcomes-based pricing to stay in the game—but both have drawbacks.
**How are companies managing AI token spend?** By pulling out tactics last used during the rise of cloud computing. CIOs are using dashboards that track usage, hiring outside experts for help, implementing token caps and more to reduce costs from AI agents gobbling up computing power.
**Is an AI jobs apocalypse coming?** Three economists in conversation with the Journal have very different forecasts. One doesn’t worry about job destruction, while another says it will be “very difficult for people to survive by selling their labor” at all.
The new “bootstrap” to the American dream is deep cleaning cars. Social media videos featuring entrepreneurs power washing and vacuuming car interiors have spread like wildfire, leading some young people facing a challenging job market to start their own car detailing businesses.]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>remotework</category>
<category>entry-leveljobs</category>
<category>ai</category>
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<title><![CDATA[Walmart Turns Entry-Level Jobs into High-Paying Careers: New Optician Program Pays $33.75/hr]]></title>
<link>https://www.juniorremotejobs.com/article/walmart-turns-entry-level-jobs-into-high-paying-careers-new-optician-program-pays-3375-hr</link>
<guid>walmart-turns-entry-level-jobs-into-high-paying-careers-new-optician-program-pays-3375-hr</guid>
<pubDate>Wed, 01 Jul 2026 04:00:45 GMT</pubDate>
<description><, eligible employees can pursue an associate degree in Optical Science with practical clinical training. Associates working outside Vision Centers and Sam’s Club Optical Centers can enroll, saving **more than $20,000** on education and training costs.
Licensed opticians earn an **average starting wage of nearly $33.75 per hour**, depending on licensing and local market conditions. The first group of participants has between **one and 30 years** of experience with the company, showing the program's accessibility to employees at different career stages.
Walmart highlighted Sheena Thompson, who became a licensed optician through an apprenticeship years before this program. Her journey from front-end associate to licensed healthcare professional inspired the new initiative.
## Associate to Technician Program Adds New Training Site in Atlanta
Walmart's existing career development programs include:
- **Associate to Technician**: Prepares employees for HVAC, refrigeration, and electrical careers. A new training site in Atlanta will open, and pay for General Maintenance Technicians will increase from $19–$35 per hour to **$26–$51** — an average raise of nearly 40%.
- **Associate to Driver**: Has helped over 1,000 associates get Commercial Driver's Licenses (CDLs), covering training, certifications, and lodging costs while they remain employed.
The new optician program expands Walmart's internal workforce development, giving employees more pathways to licensed, skilled professions.]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>walmart</category>
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<category>opticiantraining</category>
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<title><![CDATA[Use This 4-Word Phrase to Stand Out After a Job Interview, Says Career Coach]]></title>
<link>https://www.juniorremotejobs.com/article/use-this-4-word-phrase-to-stand-out-after-a-job-interview-says-career-coach</link>
<guid>use-this-4-word-phrase-to-stand-out-after-a-job-interview-says-career-coach</guid>
<pubDate>Wed, 01 Jul 2026 22:00:45 GMT</pubDate>
<description><![CDATA[What you do after a job interview can be just as impactful to your candidacy as what you do during the interview. Sending strong thank-you notes and follow-ups is **"a big differentiator of people who get the job versus don't get the job,"** says Beth Hendler-Grunt, founder of career coaching firm Next Great Step.
This post-interview diligence is particularly important in today's tough job market for entry-level workers. Many employers have scaled back entry-level hiring; between December 2025 and February, the average seasonally adjusted hiring rate of entry-level workers in the U.S. fell **6%** compared to the same period a year prior. In a March report from employee testing company Criteria, **53%** of job candidates reported having been ghosted by a recruiter or employer in the past year, up from 38% in 2024.
Building relationships and staying top of mind goes a long way toward getting the job, especially when there's stiff competition. It starts with a **thank-you note**. Send one within 24 hours of a job interview thanking the other person for their time, recapping one or two things you learned from your conversation, reminding them how your skill set would be a good fit, and reiterating your enthusiasm.
Many candidates stop there, but you should plan to send **additional follow-ups** after your initial thank-you note. They're a good marker of a candidate's **"tenacity and grit."** You can even mention in your thank-you note that you'll follow up again shortly; this way, the person knows to expect to hear from you again.
If a recruiter says they'll share an update in, say, two weeks, make a note to follow up if you don't hear by then. Otherwise, Hendler-Grunt recommends checking in on a **weekly cadence**.
After one or two follow-ups, especially if you haven't received a response yet, she suggests starting subsequent messages with a phrase like, **"Please pardon my persistence."** It strikes the right balance, showing that you're self-aware and respect the other person's time but also that you're diligent and interested in the position. **"It can be really powerful,"** she says.
Your follow-ups shouldn't just ask if you got the job. The note should first show you've been thinking about the company's work: You can reference a podcast you listened to or an article you read, for example, that was relevant to your conversation, the business, or the role. Then, offer your thoughts or ask for theirs before finally seeking an update on your candidacy.
Similarly, former Google executive Jenny Wood told Make It in March 2025 that candidates should consider putting in their thank-you note three or four sentences on how they'd tackle the company's business problems. The same logic applies in the follow-up: The key is **"adding value along the way."**
Politely following up after a reasonable amount of time shows you're proactive. And introducing **new information** in each message "keeps the conversation active and gives the recipient a clear reason to re-engage."
If you don't hear back at first, don't be discouraged. But if you don't get a response after around **four emails**, it might be time to redirect your focus elsewhere.
When it comes to follow-ups, "a lot of young adults feel like they don't want to bother" their interviewers, Hendler-Grunt says, but often "that inbox is overflowing, and sometimes you need people to be persistent."]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
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<title><![CDATA[Gen Z's Worst Nightmare: Entry-Level Jobs Are Vanishing in 2026]]></title>
<link>https://www.juniorremotejobs.com/article/gen-zs-worst-nightmare-entry-level-jobs-are-vanishing-in-2026</link>
<guid>gen-zs-worst-nightmare-entry-level-jobs-are-vanishing-in-2026</guid>
<pubDate>Wed, 01 Jul 2026 11:00:43 GMT</pubDate>
<description><![CDATA[The entry-level job market has hit a historic low, and Gen Z is bearing the brunt. Junior roles that once served as a reliable on-ramp to professional careers are disappearing, replaced by automation and a structural shift in how companies operate. This isn't just a downturn—it's a redesign.
## The Entry-Level Floor Is Lower
Junior roles used to run on repetition: show up, handle the basics, build judgment over time. That created a reliable on-ramp into professional work. But we're not seeing that anymore. According to LinkedIn, **openings rose 18%** and applications fell **9%**, yet hires moved up just **3%**. Employers are screening harder, and the mismatch has nothing to do with candidate supply.
Previously, companies absorbed people first and trained them on the job. Now, **contribution is expected before the offer is made**. For Gen Z, there's no grandfathered version of the old system—they're entering a market that restructured before they arrived.
## AI Took the Work New Hires Used to Do
Routine cognitive tasks—drafting, scheduling, research, data entry—have moved to automation. A Fortune report citing a GMAC survey found **1 in 3 employers** have already made that switch. Tech and manufacturing led; finance and professional services are following. Fix the economy tomorrow, and you'd still face fewer junior openings than five years ago. Gen Z isn't in a cyclical dip—they're in a **structural reset**.
## Gen Z Hit the Market at the Wrong Moment
No previous generation entered careers after **AI had already absorbed the starter work**. Earlier cohorts built skills through repetition. That on-ramp is narrower now because the tasks are gone, not simply harder to access.
Stanford research shows the divide: in software, workers over 31 saw steady growth from late 2022, while workers aged 22 to 25 moved the other way. Roles built around task execution contracted first—exactly the ones that built early professional judgment. Early career years are when networks form and trajectories get set. Employers will feel the **mid-level talent shortage** in three to five years, tracing back to this moment.
## Why the Numbers Look This Bad
By July 2025, new workforce entrants made up **13.3% of total unemployment**, per BLS—a share not seen since the late 1980s. By February 2026, it had pulled back only to **10.6%**. This isn't only an American story: graduate hiring in the UK fell to its lowest rate since 2020, and hiring freezes across European tech and financial services continued through 2025. It's a coordinated pullback across economies that adopted AI tooling at similar speeds.
## This Isn’t a Downturn. It’s a Redesign.
Most companies aren't planning to rebuild junior teams once conditions improve. They're restructuring around leaner models where the entry layer has been compressed or cut. Mid-level and senior roles have held steady; junior roles have contracted. Once workflows rebuild around smaller automated teams, there's little incentive to recreate that volume. Industries cutting junior headcount now will face a **thinner mid-level pipeline** in five to ten years.
## How Gen Z Actually Breaks Through
**Proof of output** carries more weight than credentials now. Portfolios, freelance work, and internships demonstrate real problem-solving in ways a degree alone no longer does. **AI fluency** has shifted from differentiator to baseline filter—candidates who show active, contextual use move through early screens faster. Role flexibility is key: applying across functions rather than holding out for one title opens more doors. Many graduates are entering through contract work or lower-paid adjacent roles. Getting in through any credible route still builds the track record that matters when companies start competing for mid-level talent.]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>genz</category>
<category>entry-leveljobs</category>
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<title><![CDATA[The Hidden Cost of Commuting: How New Grads Are Losing $8,158 a Year]]></title>
<link>https://www.juniorremotejobs.com/article/the-hidden-cost-of-commuting-how-new-grads-are-losing-8-158-a-year</link>
<guid>the-hidden-cost-of-commuting-how-new-grads-are-losing-8-158-a-year</guid>
<pubDate>Tue, 30 Jun 2026 17:01:03 GMT</pubDate>
<description><, we break down how early-career professionals can strategically navigate this shift. We discuss how to **evaluate your entire compensation package** beyond just your base salary, including asking potential employers about **commuter stipends, parking reimbursement, and hybrid flexibility**. We also dive into the importance of making your workplace impact highly visible. By **tracking your measurable outcomes** and documenting performance feedback, you can accelerate your growth and build the leverage needed to negotiate raises and offset these hidden commuting costs. **Treat your salary growth as a strategic priority** by researching industry standards and having open conversations about pay with your network.
This episode is based on an insightful article, “[The invisible pay cut facing new graduates – and how to navigate it](https://www.collegerecruiter.com/blog/2026/06/22/the-invisible-pay-cut-no-one-warns-you-about-before-your-first-job)”, by career expert Jasmine Escalera and published on College Recruiter job search site, which believes every student and recent graduate deserves a great career. Now that you are aware of the invisible pay cut, you can use that awareness to make smarter career moves that prioritize your long-term growth!
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<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
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<title><![CDATA[AI Is Devouring Entry-Level Jobs—And This Economist Has the Data to Prove It]]></title>
<link>https://www.juniorremotejobs.com/article/ai-is-devouring-entry-level-jobsand-this-economist-has-the-data-to-prove-it</link>
<guid>ai-is-devouring-entry-level-jobsand-this-economist-has-the-data-to-prove-it</guid>
<pubDate>Sat, 27 Jun 2026 22:00:46 GMT</pubDate>
<description><, boosted by a “large-scale, high-frequency administrative dataset from ADP,” the largest payroll software provider in the United States.
The findings were stark: a **significant relative decline in employment for workers ages 22 to 25** in the most AI-exposed occupations since the widespread adoption of generative AI — even after controlling for other economic shocks. Critics pushed back immediately. Google economists said it was interest rates, while others blamed tech-sector overhiring, remote work distortions, pandemic noise. Earlier this month, Apollo Global Management’s Torsten Slok continued to argue that entry-level hiring woes are a feature of the low-hire, low-fire job market, asking “where is the AI jobs crisis?”
Not only did Brynjolfsson keep updating the data, but he partnered with **ADP Research**, the economics arm of the private payroll data provider, which serves roughly one in six American workers. The effect hasn’t faded after a closer look.
“Whatever it is,” Brynjolfsson told *Fortune*, “it’s not going away.”
The new numbers come from the **[Canaries Dashboard](https://digitaleconomy.stanford.edu/project/indicators/canaries-dashboard/)**, the centerpiece of an expanded partnership between Brynjolfsson’s Stanford Digital Economy Lab and ADP Research, building on that bombshell paper last summer. It draws on information about **4.6 million workers** across more than 730 occupations, and the Digital Economy Lab considers this to be its highest-profile dashboard among the several freely accessible, continuously updated AI economic indicators that it maintains to track AI’s effects on the labor market in near-real time.
For Brynjolfsson, it is a partial answer to every critic who said his original finding was a blip. “We are flying blind into one of the most consequential periods in world history,” Brynjolfsson said at the platform’s launch. “We need timely, trusted evidence to understand where AI is creating value and where it is disrupting work.”
The dashboard processes payroll data covering roughly one in six American workers. What it shows, broken down by age and AI exposure level, is a **widening fault line**.
### The aggregate picture is deceptive
Across all workers, the numbers remain muted. The most AI-exposed occupations contracted just **0.2% year over year** as of April 2026, compared to 0.1% growth for the least-exposed roles. Since ChatGPT’s introduction in late 2022, annual employment growth across AI-exposed occupations has actually *increased* by 1.1%, compared to 2% for the least-exposed. At the headline level, the sky hasn’t fallen.
Cut the data by career stage, and the story changes.
For **workers ages 22 to 25**, employment in highly AI-exposed occupations is now **shrinking at 3.8% per year** and the early-career decline sharpened after year one — 2.8% decrease to April 2024, growing to a more than 4% decline per year since. The average decline on a month-to-month basis averages about −0.3% but Brynjolfsson notes that trend is noisy, compared to the year-over-year deceleration.
The least-exposed jobs in that same age group are growing at **2% annually**. Mid-career workers ages 31 to 34 are also contracting, down 1.7% year-over-year. Workers ages 35 to 40, by contrast, are growing at 2%. **The technology isn’t eliminating work across the board. It’s eliminating the on-ramp** — and it’s doing so with increasing precision as the data accumulates.
### Why young workers bear the brunt
The mechanism isn’t mysterious. **AI absorbs tasks before it absorbs jobs**, and the tasks it reaches first are the ones that don’t require years of experience: retrieving, summarizing, scheduling, formatting, the mechanical assembly of information. These are disproportionately the tasks handed to people at the beginning of their careers. Senior workers have accumulated the hard-to-codify, job-specific skills that still buffer against displacement. Junior workers haven’t yet.
ADP chief economist **Nela Richardson** — Brynjolfsson’s partner on the research — has argued the distinction between **automation and augmentation** is the key variable. Occupations where AI augments human work show more enduring employment growth; those where AI automates tasks outright show contraction. Early-career workers, concentrated in the most automatable layer of any occupation, sit squarely in the second category.
“In the aggregate, AI’s impact on jobs remains modest,” Richardson stressed in a [June 16 blog post](https://www.adpresearch.com/main-street-macro/taking-the-guesswork-out-of-ai-prognostications) on the first batch of dashboard data. But when AI’s impact is measured by career stage, she continued, “dramatic differences emerge.”
To Richardson, much of the debate around AI and jobs comes down to “guesswork,” given all of the variables involved and the huge range of uncertainties. Her conclusion, as she [recently told *Fortune*](https://fortune.com/2026/05/29/nela-richardson-interview-white-collar-knowledge-worker-3-predictions-ai-unbundling/), is that the reality is more “nuanced,” with AI disrupting tasks from the bottom up, not jobs from the top down. “In occupations and career stages where AI amplifies human abilities and potential,” she wrote, “we see employment growth.”
Brynjolfsson has now stress-tested the finding against every major counter-argument. The interest rate hypothesis points the wrong direction — the most rate-sensitive occupations, like construction, have the lowest AI exposure. He removed the entire tech sector. He isolated remote-work effects. **The pattern held every time**. “If you take out the entire tech industry, or take out all tech-related occupations, or you slice it different ways, you still get this effect,” he said.
The original paper covered data through August 2025. The new dashboard extends that to **April 2026** — nearly four years of post-ChatGPT labor market data. The effect hasn’t mean-reverted. It’s grown by roughly half a percentage point per month, consistently, month after month.
### Friendly fights at the top of the field
**Daron Acemoglu**, the MIT economist and Nobel laureate, has become the most prominent voice of AI skepticism within the field — and the two have been publicly sparring for months. Acemoglu’s models produce far lower productivity estimates than Brynjolfsson’s, a gap that frustrates Brynjolfsson even as he maintains deep respect for his former MIT colleague.
Brynjolfsson said that in fact he had just been “going back and forth” with Acemoglu on the morning of our interview. “We’re trying to find some common ground.”
There is some. Both agree that AI should be deployed to complement human workers rather than replace them — and both have been “trying to beat that drum,” as Brynjolfsson put it. But on the productivity question, the distance between them remains wide. Acemoglu has argued that if AI is used correctly, it could still deliver significant gains — a position Brynjolfsson finds somewhat contradictory. “I don’t get how he has such low productivity numbers,” he said. “I tell him that. But time will tell. Pretty soon we’re going to see who’s right.”
Acemoglu, for his part, hasn’t softened his public skepticism. He recently told *Fortune* that much of the AI productivity discourse is “[brainless](https://fortune.com/2026/06/21/nobel-laureate-daron-acemoglu-ai-productivity-capitalism-democracy/)” — speculative to the point of fiction, he clarified, not stupid per se.
What’s notable is that the argument is no longer about whether AI is transformative. It’s about the magnitude and the timeline. That, in itself, is a shift. A year ago, Brynjolfsson was still convincing mainstream economists to take the question seriously. Now the debate has moved to his turf, and the data he’s building is designed to settle it.
### The stakes
Brynjolfsson is careful about scale. He positions himself between Silicon Valley catastrophists and mainstream economists who see AI adding fractions of a percent to productivity. But the middle ground he occupies is still historically large. His comparison for this disruption isn’t the internet. It isn’t even globalization.
Alluding to the comparison he made in his 2016 *New York Times* bestseller *The Second Machine Age*, this is like **the Industrial Revolution** — the last time humanity built machines that changed work and productivity completely. “That one automated, augmented our muscles, and now we’re doing it for our minds. How can that not be as big or bigger?” he said. “I think it’s going to be bigger and 10 times faster.”
But early-career workers in AI-exposed occupations are, right now, bearing a cost that doesn’t yet appear in the headline numbers. The Canaries Dashboard takes its name from that logic: canaries in coal mines didn’t stop the danger. They just told you the clock was running.
Brynjolfsson shared that he has a friendly wager with Northwestern economist **Bob Gordon** — a 10-year bet on longbets.com that productivity will be significantly higher by the end of the decade.
“I’m already ahead,” he said. “And I always figured it was backloaded because of my J-curve theory. So barring war or catastrophe — the AI part should be positive.”]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>ai</category>
<category>entry-leveljobs</category>
<category>careerdevelopment</category>
<category>labormarket</category>
<category>automation</category>
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<title><![CDATA[AI Isn't Killing Entry-Level Cybersecurity Jobs—It's Making Them Smarter]]></title>
<link>https://www.juniorremotejobs.com/article/ai-isnt-killing-entry-level-cybersecurity-jobsits-making-them-smarter</link>
<guid>ai-isnt-killing-entry-level-cybersecurity-jobsits-making-them-smarter</guid>
<pubDate>Fri, 26 Jun 2026 22:01:07 GMT</pubDate>
<description><, 44% of respondents said their organizations are reconsidering roles and skill needs in response to AI security tool adoption, while the [2025 ISC2 Cybersecurity Workforce Study](https://url.us.m.mimecastprotect.com/s/l-dBCn5YzpcxJvK9ziJhBcJilum?domain=isc2.org) found that AI skills represented the most pressing skills need, cited by 41% of participants who reported at least one skills need on their security teams. What's more, 31% think adoption of AI security tools could create new entry-level roles or increase demand for entry-level roles.
Look past the data for a moment. Simply perusing entry-level cybersecurity job descriptions reveals this change playing out. One could argue that the cybersecurity profession is simply experiencing a natural drift related to changing technology. The point here is that cybersecurity roles have always evolved alongside the technology of the day. The difference the profession is facing today, though, is that AI has kicked in an acceleration of the cycle of shifting skills needs.
## AI as Evolutionary Pressure on Entry-level Cybersecurity Roles
Many may express the fear of AI taking over the world. It is best to counter fear-based narratives with a more grounded, systems-level view. Quite simply, **AI will not eliminate entry-level positions wholesale**. Instead, AI is placing an evolutionary pressure on such roles to reduce some laborious, repetitive tasks that machines can do faster, such as log review and triage.
On the flipside, AI inevitably will create other necessary, entry-level tasks, allowing practitioners to spend more valuable time reviewing outputs, validating system recommendations, interpreting results, applying judgment and making risk-based calls.
Rather than asking an analyst to go pick apart a log file, for example, the ask in the AI age sounds more like this: "Can you gather the trends from the referenced disparate log files look for potential malicious or abnormal patterns and cross correlate such against the known indicators of compromise database." Accordingly, **AI is elevating the need for strategic, nontechnical skills** among early-career cybersecurity professionals.
While the tools can suggest, and even act, the responsibility still belongs firmly to humans. That is one major reason why **nontechnical (aka human) skills now matter more than ever**. There are a few things that remain constant throughout this technological transformation: the skills and tasks that humans do really well that machines do badly. **Critical thinking with little context, logical reasoning and systems thinking** remain core to every cybersecurity position.
## More Opportunity from AI Than Threat
Across the Cybersecurity Workforce Study data, respondents viewed AI far more often as an opportunity than a threat. Instead of reducing cybersecurity functions, participants indicated that AI will create the need for new types of roles. Specifically, **73% said AI will create more specialized cybersecurity skills**, and **72% said that AI would create a need for more strategic cybersecurity mindsets**.
With an eye on such opportunities ahead, more than half (57%) of participants indicated they are staying current by continually building their overall cybersecurity knowledge. Some (37%) were also trying to gain strategic skills to build upon their tactical skills. Against this backdrop, you could look very positively and actually acknowledge that this story is a growth one instead of a destruction story. That's optimism.
This emerges only if people are supported along the way. It is crucial to ensure entry-level professionals have a mentor (typically a senior colleague) whom they can ask, "Why do you think that happened?" As guesses become increasingly machine‑assisted, **the human layer of judgment, coaching, and sense‑checking becomes critical**.
## What's Next for Early-Career Cybersecurity Professionals in the Age of AI?
If AI automates traditional tasks, how can early-career professionals and the organizations that hire them prepare? As expectations evolve, building career resilience means learning how security decisions are formed, communicated, and defended in the face of uncertainty. Early‑career preparation, therefore, must focus on:
- **Strengthening skills such as critical thinking, understanding contextual awareness, judgment and decision making**
- **Prioritizing structured training pathways** (such as apprenticeships, mentorship and skills-based hiring) so early-career and non-traditional talent can still gain real experience even as routine tasks are automated
Clearly, **AI is not dismantling entry-level cybersecurity roles so much as redefining their purpose and potential**. For early-career professionals, success now depends less on building expertise on any single tool and more on learning how to question, interpret and responsibly apply AI-driven insights. With the right mentorship and intentional skill development, the next generation of cybersecurity talent is well-positioned to grow alongside AI instead of being displaced by it.]]></description>
<author>contact@juniorremotejobs.com (JuniorRemoteJobs.com)</author>
<category>ai</category>
<category>cybersecurity</category>
<category>entry-leveljobs</category>
<category>careerdevelopment</category>
<category>humanskills</category>
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