IBM Got This One Right: Why Entry-Level Hiring Still Matters in an AI Economy
TL;DR FAQ: Is AI Really Killing Entry-Level Jobs, or Just Redesigning Them?
▼ Q: Is AI eliminating entry-level jobs in 2026?
A: AI is automating many routine entry-level tasks, especially administrative and repetitive white-collar work. Research from outlets like The Atlantic, CNBC, and Morgan Stanley shows productivity gains paired with net headcount declines in some sectors. The key shift is not total job elimination, but task automation. Roles that were built around basic execution are shrinking. Roles built around oversight, judgment, and client interaction are being redesigned.
▼ Q: Why are entry-level roles the first to be cut when companies adopt AI?
A: Entry-level positions often appear as short-term cost centers. They require ramp time, supervision, and training, which impacts margins. When boards focus on EBITDA and near-term efficiency, junior roles are easier to reduce than mid-career leadership. The risk is long-term pipeline damage if companies do not replace those roles with redesigned AI-enabled positions.
▼ Q: What is the risk of cutting entry-level hiring during AI transformation?
A: The biggest risk is breaking the talent pipeline. If companies stop hiring and developing early-career professionals, they eventually face shortages in managers, directors, and technical leads. Workforce research from Wharton and others highlights this long-term issue. Short-term margin improvement can create long-term leadership gaps.
▼ Q: Why is IBM tripling entry-level hiring despite AI automation?
A: IBM is redesigning entry-level jobs instead of eliminating them. According to recent coverage in Bloomberg, Fortune, and Axios, IBM acknowledges that AI can handle many former junior tasks. Instead of shrinking hiring, it is shifting entry-level roles toward AI oversight, customer-facing work, and problem solving. The strategy is focused on future-proofing talent and protecting its internal pipeline.
▼ Q: What do AI-enabled entry-level jobs look like today?
A: AI-enabled entry-level roles focus on supervising AI systems, validating outputs, improving workflows, and interacting with customers. Engineers spend less time on routine coding and more time on applied problem solving. HR professionals spend less time answering repetitive questions and more time optimizing chatbot systems. The shift is from task execution to AI orchestration.
▼ Q: What is a Forward Deployed Engineer and why does it matter?
A: A Forward Deployed Engineer is an embedded technical professional who works directly with business units or clients to implement AI in real workflows. Coverage from Constellation Research, Salesforce, and IT Brew shows growing demand across banking, manufacturing, healthcare, and other industries. These roles bridge technical systems and operational outcomes, making AI practical inside large organizations.
▼ Q: How should companies hire for AI-driven roles in 2026?
A: Companies should prioritize skills-based hiring, AI literacy, and learning agility over rigid degree requirements. They should redesign entry-level roles around AI oversight and workflow ownership rather than eliminate them. Firms that combine technical fluency with long-term workforce planning are better positioned to avoid both margin pressure and talent shortages as AI adoption scales.
The mood going into 2026: AI is taking jobs
Late 2025 and early 2026 has been full of warnings about AI replacing people, especially at the entry level.
On February 9, 2026, Matt Shumer published “Something Big Is Happening.” It spread quickly because it said out loud what many executives were already thinking: a large share of entry-level white collar work can now be handled by AI, and the pace is not slowing down.
The data backs up the concern. The Atlantic questioned whether America is ready for what AI will do to jobs. CNBC argued AI is not just ending entry-level roles, it is ending the career ladder. Forbes wrote about students losing job training as AI takes junior roles. Morgan Stanley reported productivity gains tied to AI adoption alongside a net decline in headcount.
It is not hard to see why entry-level seats get cut first. On a spreadsheet, junior roles often look like cost centers. They require training, they ramp slowly, and they do not immediately move revenue. When leadership is under pressure to protect margins, trimming that layer can look responsible.
That is where the thinking gets short term.
The EBITDA mindset and the pipeline problem
There is a growing push to tie AI directly to EBITDA. Consulting firms and board decks now frame AI as a way to lower costs, increase output, and improve margins. McKinsey’s research shows only a subset of companies are driving meaningful bottom-line impact from AI, and they do it by redesigning workflows. That usually includes redesigning jobs.
The temptation is obvious: if AI can handle routine junior work, reduce headcount and improve the numbers.
The issue is pipeline math. If you stop hiring entry-level talent, you are not saving money in the long run. You are deferring the cost. Wharton and Ivy Exec both raised the same concern: if entry-level jobs disappear, where do future managers and executives come from?
Companies do not run on quarters alone. They run on developed talent.
Cutting the bottom rung may boost short-term margins. It also hollows out the middle over time.
IBM’s move: rewrite the roles, do not erase them
This is why IBM’s February 2026 announcement stands out.
IBM plans to triple entry-level hiring in the US, even while acknowledging that many entry-level tasks from two or three years ago can now largely be performed by AI.
IBM’s CHRO, Nickle LaMoreaux, has said that many entry-level jobs from just a few years ago can now largely be handled by AI, which is exactly why the company is rewriting roles instead of cutting them.
That is the key point. IBM is not denying the impact of AI. It is redesigning the roles.
Coverage from Bloomberg, Fortune, Axios, and others highlights the shift:
- AI handles repetitive and administrative tasks.
- Entry-level employees focus more on customer engagement and problem solving.
- Humans oversee, validate, and improve AI systems.
Software engineers are expected to spend less time on routine coding and more time working with clients and shaping solutions. HR teams spend less time answering basic questions and more time improving and supervising chatbots and workflows.
That is a practical response. AI handles scale. Humans own judgment and accountability.
Skills over pedigree
IBM is also leaning into skills-based hiring. Its apprenticeship and New Collar programs emphasize capability over four-year degrees. Degree requirements have been removed for many roles.
This widens the funnel without lowering the bar. The focus shifts to learning agility, AI literacy, and the ability to adapt as tools change.
That approach future-proofs the workforce. It avoids a scenario where the company cuts juniors today and overpays for mid-career hires five years from now because it failed to grow its own bench.
What enterprise leaders should be building now
Large enterprises shape the market. SMBs tend to follow what works at scale.
There are a few clear moves companies can start modeling now:
1) Redesign entry-level roles around AI
If AI handles drafting, summarizing, routing, and tier-one responses, entry-level roles need to shift toward:
- customer interaction
- workflow ownership
- quality control and escalation
- AI monitoring and improvement
Do not hire juniors for yesterday’s task list. Hire them to operate tomorrow’s systems.
2) Build a new AI-enabled career ladder
Stanford Social Innovation Review has written about the need for a new AI career ladder. That can look like:
AI-assisted contributor -> AI workflow owner -> AI team lead -> functional leader
The ladder changes, but it still exists. Without it, organizations become top heavy and brittle.
3) Embed AI implementers inside the business
The rise of the Forward Deployed Engineer is one example. These are embedded roles that sit close to the business and make AI work in real workflows. Coverage from Constellation Research, IT Brew, Salesforce, and others shows this is not limited to tech vendors. Banks, industrial firms, and shared services organizations are building similar roles.
AI does not implement itself. Someone has to own it.
Where STEM Search Group Fits
If you are redesigning roles around AI, hiring is not something to wing.
We have been recruiting niche technical and individual contributor roles since 2005. That is our foundation. Now layer in the fact that we build and deploy our own AI agents, and we have a doctoral-level research scientist on the team.
How many firms can say that?
When you are hiring Forward Deployed Engineers, applied AI scientists, or AI-enabled operators inside business units, you need more than keyword matching. You need technical fluency and real experience placing high-level talent.
If you are building AI solutions or reshaping your workforce around them, work with a firm that understands both the technology and the talent market.
Sources
- Matt Shumer, “Something Big Is Happening” (Feb 9, 2026) https://shumer.dev/something-big-is-happening
- The Atlantic, “America Isn’t Ready for What AI Will Do to Jobs” (online Feb 10, 2026; March 2026 issue)
- CNBC, “AI isn’t just ending entry-level jobs. It’s ending the career ladder” (Sept 7, 2025)
- Forbes, “Students Lose Job Training as AI Takes Entry-Level Roles” (Jan 30, 2026)
- Morgan Stanley, “AI’s Impact Accelerates” (Feb 4, 2026)
- McKinsey, “The State of AI: Global Survey 2025” (Nov 4, 2025)
- Forbes Business Council, “Putting The AI In EBITDA: Considerations For Using AI Effectively” (Dec 11, 2025)
- AlixPartners, “Unlocking real EBITDA value with generative AI” (Jan 11, 2024)
- KMS Technology, “Maximize EBITDA with an Effective AI Roadmap” (Nov 6, 2025)
- Wharton (Knowledge@Wharton), “Is AI Pushing Us to Break the Talent Pipeline?” (Aug 11, 2025)
- Ivy Exec, “If Entry-Level Jobs Are Vanishing, Where Will the Future Executives Come From?” (Aug 11, 2025)
- Stanford Social Innovation Review, “A New AI Career Ladder” (Oct 29, 2025)
- Bloomberg, “IBM to Triple Entry-Level US Hiring With Roles Recast for AI Era” (Feb 12, 2026)
- Axios, “IBM plans to triple entry-level hiring this year because of AI” (Feb 13, 2026)
- Fortune, “IBM is tripling the number of Gen Z entry-level jobs…” (Feb 12, 2026)
- LinkedIn News, “IBM triples entry-level hiring amid tech sector squeeze” (Feb 11 to Feb 12, 2026)
- TechCrunch, “IBM will hire your entry-level talent in the age of AI” (Feb 11, 2026)
- TechRadar Pro, “IBM will actually start hiring entry-level human workers, rather than AI” (Feb 12, 2026)
- Constellation Research, “Forward deployed engineers: The promise, peril in AI deployments” (Jan 31, 2026)
- Rocketlane, “Forward Deployed Engineer (FDE): The Essential 2026 Guide” (Dec 9, 2025)
- IT Brew, “Will 2026 be the year of the forward-deployed engineer?” (Dec 18, 2025)
- Salesforce, “Today’s Hottest Role: Forward Deployed Engineer” (Nov 18, 2025)
- SSON, “Forward Deployed Engineer: Turning AI Promise into Progress?” (Sept 9, 2025)