Tag: Featured

“The real risk isn’t that AI eliminates human contribution,” says Liz Eversoll, CEO of Career Highways. “It’s that companies unintentionally erode their future talent pipeline by removing the very roles where emerging employees typically learn, stretch, and build foundational skills.”

As AI adoption accelerates, a new question is emerging for business leaders:
If entry-level roles shrink today, who becomes the senior leaders of tomorrow?

Recent research suggests this concern isn’t hypothetical. Studies show graduate hiring has declined, entry-level roles are being reduced in AI-exposed companies, and many enterprises now explore AI solutions before hiring humans. The short-term driver is clear — cost savings, speed, and scalability.

But the long-term implications may be far more significant.

The Entry-Level Squeeze

AI excels at repetitive, rules-based tasks — many of which historically formed the foundation of early-career work. As organizations deploy AI agents and automation tools, junior roles in research, analysis, operations, and support functions are increasingly compressed or redefined.

While some experts argue that hiring overall is slowing — not just junior hiring — the data shows a disproportionate impact on early-career positions. That shift could fundamentally reshape how organizations develop talent.

The concern isn’t simply about jobs disappearing. It’s about development pathways disappearing.

Why This Matters for the Future of Business

Entry-level roles have traditionally served as the training ground for future leaders. They are where employees build foundational skills, absorb company culture, develop judgment, and learn how work truly gets done.

When early-career pathways narrow, organizations may feel the consequences five to seven years later — in leadership gaps, technical depth shortages, and weakened cultural continuity.

In other words: optimizing for short-term efficiency could undermine long-term capability.

AI Is Not the Enemy — Design Is

The solution isn’t slowing AI adoption. It’s redesigning how work evolves alongside it.

Organizations that are navigating this shift successfully are using AI to augment skill development, not replace it. That requires:

• Visibility into how skills are changing
• Clear, skills-based job architecture
• Transparent pathways into higher-value roles
• Internal mobility strategies that evolve with automation

With the right skills intelligence, employers can see which skills are being automated, which are becoming more valuable, and how to deliberately guide employees into future-ready roles.

“This is a moment that calls for redesign, not retreat,” says Eversoll. “When organizations invest in skills visibility and internal mobility, AI becomes an engine for growing talent — not a barrier to entry.”

A Leadership Decision, Not Just a Technology One

A Leadership Decision, Not Just a Technology One

Read the full article to explore the research, expert perspectives, and what this means for the future workforce.

“AI is changing work faster than most organizations can redesign roles,” said Liz Eversoll, CEO of Career Highways. “Skills Intelligence gives leaders a practical way to see how work is evolving at the skill level and move quickly from insight to job architecture to career pathing—without relying on slow, manual processes.”

Career Highways has announced the launch of Skills Intelligence, a new self-serve platform that enables enterprises to assess how AI is changing work at the skill level—and turn those insights into action.

As AI adoption accelerates, organizations are discovering that traditional job architecture processes can’t keep pace. What once took years of consulting and manual effort can now be compressed into months. Skills Intelligence gives leaders a faster, more practical way to redesign roles, build career pathways, and become truly skills-based enterprises.

From Workforce Data to Actionable Insight

The platform analyzes everyday workforce inputs—including job descriptions, resumes, job postings, certifications, and training content—to extract and standardize skills into a governed taxonomy. Within minutes, organizations receive a Skills Analysis Report and an optional AI Impact Report showing where AI is augmenting, automating, or elevating work—skill by skill.

This clarity allows leaders to make deliberate decisions about:

• Role design
• Learning investment
• Workforce planning
• Internal mobility

Rather than reacting to AI disruption, organizations can proactively shape how work evolves.

Turning Insight into Job Architecture

Skills Intelligence doesn’t stop at analysis. The platform enables employers to quickly generate skilled roles, job architecture templates, and career pathways built on a living capability graph of hundreds of thousands of standardized roles, certifications, and training programs.

Protecting Human Capability in the Age of AI

Beyond efficiency, the platform addresses a deeper leadership challenge: ensuring AI enhances people rather than replacing them.

“When organizations replace humans with AI instead of enhancing those same people’s roles, they don’t just lose jobs — they lose culture, mentorship, and the next generation of leaders,” said Mark Kendall, Chief Revenue Officer at Career Highways.

By making AI’s impact visible at the skill level, Skills Intelligence helps enterprises preserve on-the-job learning pathways, strengthen leadership pipelines, and ensure automation builds long-term capability—not just short-term cost savings.

Read the full announcement to learn how Skills Intelligence helps organizations design transparent, skills-based career pathways at enterprise scale.

Introducing Skills Intelligence: A Clear Way for CHROs to Quantify AI’s Impact on Work

If you’re a CHRO right now, you’re likely being asked:

• Which roles are most exposed to AI?
• Where will productivity actually increase?
• What skills should we reskill, redeploy, or hire for?
• How do we update job architecture without launching a two-year overhaul?

Most companies are experimenting with AI tools. Very few can clearly quantify what AI is doing to their workforce at the skill level.

That’s the gap we built Skills Intelligence to address.

AI Impacts Skills Before It Impacts Jobs

AI doesn’t eliminate entire jobs in one move. It shifts the skills inside them. Some tasks compress. Some expand. Some become more valuable.

If you only look at job titles, the change feels abstract. When you analyze work at the skill level, the signal becomes clear.

Skills Intelligence allows you to see which skills are automated, which are augmented, and which remain human-advantage. It also estimates productivity impact at the role level, so you can move beyond speculation and into measurable workforce planning.

This gives you something concrete to work with — not a narrative about AI, but structured insight you can defend in front of your board and your executive team.

Turning Insight Into Job Architecture

Insight alone is not useful unless it translates into action.

Once you understand how AI is shifting skills, you need to redesign roles and update career pathways to reflect that reality. Skills Intelligence connects AI exposure directly to job architecture. You can ingest roles, normalize skill data, quantify impact, and generate updated role structures aligned to future-state work.

What used to require a long, manual, consulting-heavy effort can now be structured and accelerated.

The work becomes governed and repeatable instead of reactive.

Why This Matters Now

Boards are asking about AI productivity. Leaders want ROI. Employees want clarity about how their roles will evolve.

Static job descriptions cannot answer those questions.

You need skill-level visibility that connects AI impact to workforce design. When you can see the shifts clearly, you can make deliberate decisions — where to invest, where to reskill, and how to evolve your architecture responsibly.

That is the difference between experimenting with AI and strategically leading through it.

Try It

Skills Intelligence is live and self-serve.

If you want to understand how AI is reshaping your roles — at the skill level — you can run the analysis directly.

In a national conversation about broken hiring systems, AI-driven screening, and growing frustration among job seekers, Liz Eversoll, CEO of Career Highways, points to a critical gap between policy intent and real-world execution. As governments signal support for skills-based hiring, employers still lack the infrastructure to operationalize those ideas at scale—leaving workers stuck in opaque, automated systems that fail to recognize real capability.

“Government can encourage skills-first practices, but employers need modern tools to put those policies into action. The future of work will be shaped by organizations that make skills transparent, pathways visible, and upskilling accessible to everyone.”
— Liz Eversoll, CEO, Career Highways

Making the Job Market Human Again in the Age of AI
As unemployment climbs to its highest level in four years, the realities of today’s job market are becoming harder to ignore. In this Washington Examiner analysis, job seekers describe a hiring environment that feels increasingly impersonal, opaque, and unforgiving — especially for white-collar workers navigating AI-driven recruiting systems. While automation and AI promise efficiency, the article argues they have also amplified dysfunction, filtering out qualified candidates and overwhelming employers with volume rather than clarity. The core challenge, experts suggest, is not simply job creation, but restoring human judgment, transparency, and connection to a system that has drifted too far toward automation. This piece explores why re-centering people — not just technology — is critical to rebuilding trust and effectiveness in the modern labor market.

A recent Washington Examiner analysis underscores how rising unemployment is exposing deeper structural problems in today’s AI-driven hiring economy. As competition intensifies — particularly for white-collar roles — job seekers describe a labor market that feels increasingly automated, opaque, and disconnected from human judgment. While employers continue to invest in AI and efficiency tools, the article argues that hiring systems have become less effective at identifying real talent and more punishing for workers navigating them. The result is a growing call to rebalance technology with transparency, accountability, and human decision-making.

👉 Read the full article: “Making the Jobs Market More Human Again” on the Washington Examiner — Download the PDF