The Trump Effect: How Policy Chaos, DEI Rollbacks, and AI Hype Are Destroying Entry-Level Careers

Look, I’ve spent two decades watching HR tech companies try to solve workforce problems with better software. And mostly? They succeed. But there’s something happening right now that no ATS optimization or AI-powered talent marketplace can fix: a perfect storm of policy chaos, deliberate DEI dismantling, and shortsighted AI implementation that’s systematically destroying entry-level careers and any hope of workforce planning.

Because while we’re all busy optimizing our recruitment tech stacks and debating the ethics of AI resume screening, the actual foundation of the labor market is crumbling. And the worst part? We can barely see it happening because the data we’d normally rely on has become almost useless, and the groups getting hit hardest — women, people of color, and early-career workers — are being erased from the pipeline entirely.

The Data Desert: When Numbers Stop Telling the Truth

Here’s the thing about trying to understand what’s happening in the labor market right now: we’re essentially flying blind, trying to braid together incomplete metrics that often contradict each other.

Take November 2025. ADP reported private sector employment fell by 32,000 jobs — the largest drop since March 2023. Meanwhile, BLS showed a gain of 64,000 total nonfarm jobs.

Same month. Completely different stories.

Both point to a cooling labor market, but one shows outright job losses while the other shows modest gains. And this isn’t unusual — it’s just that right now, when we desperately need clarity, the divergence matters more than ever.

Because on the ground? Job seekers are telling us a very different story. 85% say the job market is bad. The average job search takes nine months. People are submitting 91 applications to get just 6 responses. That’s a 7% ROI on their time. (Howdy.com)

And here’s what makes it worse: by August 2025, more than 330,000 women had left the workforce, due to fewer flexible work opportunities, more caregiver responsibilities, and an uneven job market. Women of color are being hit disproportionately hard. But you won’t see that reflected in GDP numbers or most headline employment stats.

GDP might show growth, but when job seekers submit 91 applications for 6 responses over nine months, something’s fundamentally broken.

Why GDP Can’t Tell You What’s Actually Happening to Workers

Brian Albrecht from the International Center for Law & Economics recently wrote a defense of GDP in Vox, arguing it’s “the only number that really matters” for understanding economic success. And you know what? He’s right about what GDP is designed to do. For measuring aggregate economic activity — the total market value of all final goods and services produced — it’s incredibly useful for policymakers.

And right now? GDP looks decent. Real GDP grew at a 3.8% annual rate in Q2 2025 (after a 0.6% decline in Q1). Nominal GDP hit roughly $30.6 trillion annualized. If you’re a policymaker looking at aggregate economic output, things appear stable.

But here’s the catastrophic disconnect: GDP is a macro metric, a national financial statement. And right now, there’s a chasm between what GDP tells us about aggregate economic activity and what workers are actually experiencing.

GDP doesn’t capture that job seekers are spending an average of $136 out of pocket on their searches. It doesn’t reflect the 76% burnout rate among job hunters. It doesn’t show that Boomers are averaging 14-month job searches with just one month before risking homelessness, or that Gen Z is submitting 102 applications to get 5 interviews across 10 months. It definitely doesn’t tell you that 330,000 women have left the workforce or that women of color are disproportionately losing ground.

So yes, Albrecht is correct that GDP accurately measures what it’s designed to measure. The problem is that we’re living in an economy where GDP posts respectable growth numbers while individual worker experience is absolutely abysmal. That’s not a measurement failure — it’s a policy failure that macro metrics simply can’t capture.

You can have a growing GDP while people submit 91 applications to get 6 responses over nine brutal months. You can have stable aggregate economic output while small businesses cut staff hours to cover tariff bills. You can have decent quarterly numbers while women leave the workforce by the hundreds of thousands.

GDP tells you about production. It tells you nothing about distribution, opportunity, or the actual lived experience of workers trying to navigate this market.

The Tariff Chaos: When Businesses Can’t Plan

Since April, the Trump regime has imposed tariffs of 10–50% on nearly all imports, pushing the average effective tariff rate to 16.8% — the highest since 1935. But the real damage isn’t just the tariff rate itself. It’s the unpredictability.

Rachel Lutz, who owns The Peacock Room boutique in Detroit, nails it: “Businesses need to plan ahead, three months, six months, a year ahead — and I can’t plan six months ahead if I don’t know what’s happening in the next two weeks.”

This is catastrophic for hiring. Every workforce planning conversation I have with clients starts with forecasting. You need to know your revenue projections, your growth trajectory, your market conditions. But how do you forecast when trade policy changes weekly?

Small business owner Thea Brown at World of Mirth in Richmond just got hit with a $1,200 tariff bill on a $5,000 toy order. She can’t absorb that cost, so she’s raising prices and cutting staff hours. Trinita Rhodes at Beauty Supply Refresh puts it perfectly: “We are the end customer, and we continue to get the short end of the stick.” (tariffscostus.com)

And here’s what HR tech companies need to understand: these aren’t strategic workforce reductions based on performance data. These are panic cuts driven by policy chaos. You can’t plan, so you freeze. You can’t forecast, so you don’t hire. And the first positions to disappear? Entry-level roles.

GDP might show 3.8% growth, but that number tells you nothing about small retailers cutting staff hours to cover tariff bills.

The H-1B Disaster: Targeting Entry-Level Tech

Now layer in the H-1B visa changes. The State Department is now reviewing LinkedIn profiles and resumes of H-1B applicants for “involvement in the suppression of protected expression” — which apparently includes content moderation, fact-checking, online compliance, and safety roles.

You know, exactly the kinds of entry-level jobs that early-career tech workers do.

So we’ve got tariffs crushing small businesses that traditionally hire entry-level workers, and immigration policy targeting the tech sector jobs that employ huge numbers of early-career professionals. Oh, and 60% of job seekers have encountered ghost jobs in their current search, making the market even more opaque.

Cecilia Esterline, a senior immigration policy analyst at the Niskanen Center, a nonpartisan thinktank in Washington, DC, said the tech sector has been resilient in navigating immigration requirements, “but I think that there could be a breaking point where companies really have to decide if navigating this ever-changing and very unstable immigration environment is worth it, or if there are alternatives in other places.” (see IT Brew)

The DEI Rollback: Dismantling the Pipeline for Women and People of Color

Here’s where it gets truly insidious. While GDP hits record highs and economic chaos unfolds, companies are simultaneously rolling back the very programs designed to create equitable career pathways.

According to LeanIn’s 2025 report, one in five companies reported cuts to diversity staff and resources over the past 12 months. Just 67% of companies promoted gender diversity in 2024, compared to 88% in 2018. Of the companies that scaled back development programs, 13% trimmed or eliminated formal sponsorship programs meant for women, and 39% don’t offer formal sponsorship programs at all.

Women are already 13% less likely to be promoted than their male peers at entry level, despite being more motivated. While one-third of men in entry-level roles have multiple sponsors, just 16% of women have similar support. And women of color face compounded barriers that make these numbers even worse.

Rachel Thomas, CEO of LeanIn, told HR Brew: “It’s hard to imagine a world where that isn’t having some level of impact on how women feel, and how optimistic they are about their prospects for advancing.”

So let me connect the dots here: companies are cutting entry-level positions due to economic uncertainty and AI implementation, while simultaneously eliminating the programs that helped women and people of color access and advance through those diminishing opportunities. This isn’t just unfortunate timing. This is structural erasure.

And none of it shows up in GDP.

The AI Excuse: Using Technology as Cover for Bad Decisions

And then there’s AI. Oh, AI.

Thirty-four percent of job seekers are now using AI to improve resumes, write cover letters, and optimize for ATS scanners. Meanwhile, companies are deploying AI to screen thousands of applications, automate rejection emails, and create the illusion of efficiency.

But here’s what’s really happening: companies are using AI as cover to eliminate entry-level positions entirely, without understanding two critical things:

First, the AI bubble is going to pop. Or at minimum, it’s going to become far more expensive to operate at scale than companies currently anticipate. We’ve seen this movie before (remember blockchain was going to revolutionize everything?). The hype cycle is real, and we’re in the peak of inflated expectations right now.

Second, you can’t eliminate entry-level roles without destroying your talent pipeline. Those entry-level positions aren’t just about filling current needs — they’re about developing the mid-level managers and senior leaders you’ll need in five years. When you use AI to justify cutting these roles, you’re not being strategic. You’re being shortsighted.

And it’s worse than that. Companies are using AI implementation as justification to fire people at whim. “We’re reorganizing around AI capabilities” becomes an excuse for layoffs that disproportionately impact women, people of color, and early-career workers who haven’t yet built the political capital to survive restructuring.

The 46% failure rate on new hires costing 3x salary? That’s going to get worse, not better, when you eliminate the entry-level positions where people learn organizational culture, develop skills, and build relationships that make them successful in more senior roles.

GDP doesn’t measure any of this. It just shows aggregate economic output hitting record highs while companies systematically dismantle their talent pipelines.

Companies are using AI and tariff chaos as cover to eliminate entry-level positions—and destroying their talent pipelines in the process.

The Broken Rung Gets More Broken

Women face a “broken rung” at the first promotion to manager — the largest promotion gap in the corporate pipeline. This has been true for over a decade. But now we’re compounding that structural barrier with:

• Fewer entry-level positions overall
• Elimination of sponsorship programs that helped women advance
• DEI rollbacks that remove accountability for equitable promotion practices
• Economic chaos that makes companies risk-averse (and we know that benefits men, who get promoted on potential, while women have to prove performance)
• AI screening that may encode historical biases into automated decisions

29% of women at the senior level believe their gender is a barrier to advancement. And they’re right. Because even as they fight their way up the broken rungs, companies are pulling away the support structures and eliminating the entry-level pipeline behind them.

Here’s my idea for that: https://redbranchmedia.com/blog/entry-level-jobs-ai-managers-solution/

The Compound Effect: When Everything Breaks at Once

Here’s where it gets really ugly. These aren’t isolated problems — they’re compounding:

The job market is objectively terrible. 38% of currently employed workers are planning to job search in early 2026, up from 27% just six months ago. That’s not normal churn. That’s people fleeing instability.

The most vulnerable are getting crushed. Boomers averaging 14-month searches. Gen Z submitting 102 applications for 5 interviews across 10 months. Women leaving the workforce by the hundreds of thousands. Women of color facing compounded barriers. And entry-level opportunities evaporating entirely.

Desperation is driving dysfunction. Thirty-six percent of people who successfully landed jobs admitted to lying somewhere in the process — on resumes, in interviews, on references. That’s not a candidate quality problem. That’s a market failure.

Companies are making decisions that will haunt them. Cutting entry-level roles to save money today while destroying the talent pipeline for tomorrow. Eliminating DEI programs that took decades to build. Using AI as an excuse to fire at whim. All while McKinsey reports that 90% of business leaders expect meaningful workforce changes in 3–5 years but fewer than half feel prepared.

And through it all, GDP keeps climbing. Record highs. The economy, by that measure, has never looked better.

What This Means for HR Tech (And Everyone Else)

I work almost exclusively with content marketing services for HR tech companies, and I can tell you that no amount of AI-powered matching, skills ontology, or predictive analytics is going to fix an economy where:

• GDP hits record highs while workers submit 91 applications for 6 responses
• Small businesses can’t plan 60 days out due to tariff chaos
• Companies are using AI as cover to eliminate entry-level positions
• Immigration policy is targeting exactly the entry-level roles that build talent pipelines
• DEI programs are being systematically dismantled
• Women and people of color are being pushed out of the workforce
• The data we need to make decisions is contradictory and incomplete

The competitive advantage right now isn’t in better screening technology. It’s in:

• Maintaining entry-level positions and development programs even when it’s not immediately profitable
• Keeping sponsorship and advancement programs for women and people of color
• Internal mobility platforms that maximize existing talent
• Rigorous failure analysis to understand the real cost of bad hiring decisions
• Building trust in a market where both candidates and employers are operating from fear
• Recognizing that short-term AI hype doesn’t justify long-term talent pipeline destruction

What Happens Next

Here’s my prediction (and I’ve been doing this for years, so I get to make one): We’re heading into a period where:

• GDP continues to look fine(ish) while worker experience continues to deteriorate
• Workforce planning becomes nearly impossible due to policy chaos
• Entry-level opportunities continue to disappear, creating a lost generation of early-career professionals
• Women and people of color lose decades of hard-won gains in representation
• Companies realize too late that they’ve destroyed their talent pipelines
• The AI bubble adjusts (whether through cost increases or capability limitations)
• Organizations scramble to rebuild the entry-level and development programs they eliminated
• The gap between macro economic metrics and lived worker experience gets so wide we stop trusting the data entirely (if you haven’t already.)

And for candidates, especially women, people of color, and early-career workers? The market was already brutal. Now it’s brutal, chaotic, deliberately exclusionary, and increasingly opaque; all while economists (maybe obtusely) wonder why workers aren’t celebrating.

The Bottom Line

This isn’t about one policy or one metric or one technology trend. It’s about compound dysfunction happening beneath the surface of seemingly healthy macro numbers:

Trump’s tariffs creating cost uncertainty that freezes hiring. H-1B restrictions eliminating entry-level pathways. Companies using AI as cover to fire people and eliminate development roles. DEI programs being systematically dismantled just as economic chaos makes equitable advancement more critical. Women leaving the workforce by the hundreds of thousands. Ghost jobs making the market more opaque. GDP hitting $30.6 trillion annualized while individual workers…especially women and people of color, submit 91 applications to get 6 responses over nine brutal months.

This isn’t something HR tech can solve. This isn’t a skills gap or a matching problem. This is policy-driven economic destruction compounded by deliberate DEI rollbacks, shortsighted AI hype, and a fundamental disconnect between how we measure economic health (aggregate output) and how workers actually experience the labor market (individual opportunity and advancement).

Companies are using this moment of chaos — obscured by strong GDP numbers — to make decisions they’ll regret: eliminating entry-level positions, cutting development programs, rolling back DEI initiatives, and pretending AI can replace the human talent pipeline they’re actively destroying. The AI bubble will adjust. The tariff chaos will eventually stabilize (one way or another). But the talent you didn’t develop, the pipelines you didn’t maintain, and the trust you didn’t build? Those don’t come back quickly.

And workers: Gen Z, women, people of color, and Boomers who are being pushed out right now? They’re going to remember which companies fought to keep them and which companies used this moment as an excuse to abandon them.

GDP may still look okay in those quarterly reports. But five years from now, when you’re desperate for mid-level talent and wondering where your pipeline went, you’ll understand the difference between measuring economic output and building sustainable workforce capacity.