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Employers boosting entry-level hiring after years of decline, new study shows 72%

4/25/2026, 12:21:20 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 31 faulty reasoning types, including Hasty Generalization, Confirmation Bias, and Availability Heuristic, with Optimism Bias as the most egregious example at 22.7% saturation with 204 hits. Analysis detected 2,167 faulty-reasoning hits from 899 analyzed words, generating a BS Score of 65% and a BS Rank of 72% (4,773 of 16,813 videos). This video is worse (more manipulative) than 71.60% of the video peer group.

College students crossing the graduation stage in just a few weeks may have a brighter outlook when it comes to landing their first job. 
After years of steady decline, a new survey finds employers expect to boost new graduate hires by more than 5% this spring compared to the same time last year. 
Separate research found the unemployment rate for young college grads dropped sharply in March to just over 5%. 
That's down from nearly 9% last fall. 
Let's go ahead and bring in LinkedIn career expert Katherine Fisher. Thanks for being here. 
Um, this is clearly a complex environment for new grads. 
So, help us explain what is happening right now. 
Yeah, it is really complex and part of it is that hiring overall is down. 
So, when you're hearing stories about it's a tough market, that's what people are referring to. 
But, when you look at the entire landscape, so you've got the middle, you know, manager roles, those are actually more hard hit than entry-level. 
That's why you're seeing these little sparks of joy in terms of uh, you know, new grads looking for a job. 
What industries are showing the most potential? 
You know, the industries that are really um, gearing up right now are ones that are looking to invest in technology, so technology, information, and media. 
And then also some of those industries that are really about building infrastructure, so think real estate, 
utilities, and construction. So, as you're looking for a job, you want to be open-minded in terms of where you may go, and it might not be an industry that you were thinking about. 
So, you really want to kind of approach this job market because it is complicated, um, maybe going somewhere that you wouldn't have thought of. 
I mean, I'm I'm kind of shocked at media because I feel like the media industry has been shrinking, and and certainly in this newscast and many others that we have, we talk about investment in AI companies increasing. 
We hear about other companies like Meta and Nike doing layoffs. 
What role is AI playing in all of this? 
Well, so AI is actually adding jobs for career starters. 
So, what we're seeing is that when the, you know, the top jobs that companies are looking for, AI engineer. 
So, this is exciting, but then also a lot of the roles that really kind of help companies run, so think marketing coordinator, you know, recruitment assistant, those types of roles are really popular, as well. So, that's what companies are looking to hire. 
hire. So, it's both innovation and then just, you know, running the company. 
So, if you're looking for a role knowing that it's competitive and complicated, again, look at the industries, look at the jobs that are most popular right now with those hiring companies. 
What advice What other advice do you have for grads? 
You know, I think that when you're really trying to stand out, you want to stand out with your skills. 
So, it's really easy to try to talk about your, you know, major, and okay, you looked at psychology, for example, but what you want to do is instead of talking about your psychology major, talk about what did you learn? 
Was it writing? Was it, you know, collaboration, etc. 
You also want to demonstrate doing. 
So, what we know is that companies really like that growth mindset. 
So, you might not have a ton of experience because, of course, you're you were in school, you're, you know, new to the the job market, but 
what you can show is how did you teach yourself new skills? How did you apply that in different situations? You also want to take those in-between moments. 
And what I mean here is that as you're looking for a role, an internship might come up, a contract work might show up, or freelance. Use those opportunities to build your skills because we know that companies are doing skills-based hiring. 
You're also going to want to show with AI how have you applied this in your life? 
You really want to demonstrate that growth mindset. So, how have you used AI in, you know, whether it was with a job during summer or in school work, etc., or just your personal life. 
They want to show some AI fluency. 
And you also want to lean into your network. 
And often times people, you know, who are entering the work uh, force, they think, "Well, I don't have a network." 
The answer actually is you do have a network. 
Think about your college professors, or did you babysit for a family? Those parents, that's a network. 
So, really leaning into that network, ask for help, be really specific about what you're asking help for, though, and start with the people who have the jobs or in the industries that you're interested in. 
Many industries is about who you know. 
I'm I'm still just who you know. 
I'm I'm still just baffled. 
I think it used to be like a notch against you that you were using AI. 
AI. It was like cheating, and now they want to see it. 
It's just incredible the world we're living in now. 
>> [clears throat] 
>> Katherine Fisher, thank you. 
Thank you. 
Confirmation Bias
15.9%
Anchoring Bias
3.2%
Availability Heuristic
15.2%
Representativeness Heuristic
10.8%
Hindsight Bias
1.8%
Overconfidence Bias
11%
Framing Effect
7.3%
Loss Aversion
0%
Status Quo Bias
2.8%
Sunk Cost Effect
0%
Optimism Bias
22.7%
Pessimism Bias
6.8%
Negativity Bias
6.5%
Self-Serving Bias
9.6%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
9.9%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
2.1%
Primacy Effect
1.7%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
14.1%
False Dilemma
13.8%
Slippery Slope
2.8%
Circular Reasoning
0%
Hasty Generalization
22.6%
Red Herring
0%
Bandwagon
2.9%
Appeal to Emotion
14.2%
Begging the Question
6.9%
Post Hoc (False Cause)
4%
Tu Quoque
0%
Burden of Proof
1%
Appeal to Nature
0%
Composition/Division
1.9%
Anecdotal
11.6%
No True Scotsman
2.3%
Ambiguity (Equivocation)
4.6%
Gambler’s Fallacy
0%
Middle Ground
3.6%
Personal Incredulity
0.6%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
7%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

899 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.