Briefing Room: May 2026

May delivered two structural arguments at the same time, from different directions, pointing at the same problem.

The first: at companies actively integrating generative AI, entry-level hiring has fallen roughly 80% per quarter since 2023. That number, from a Harvard working paper analyzing 66 million workers across 280,000 US companies, describes something more specific than “AI is taking jobs.” It describes the dismantling of the mechanism by which junior workers became senior workers. The apprenticeship layer is disappearing.

The second: the supply of workers available to fill the resulting senior-level gaps is itself contracting. Foreign job seeker interest in US roles has dropped to a six-year low. Net international migration is on track to fall nearly 90% from its 2024 peak. Baby Boomer retirements will remove 5.9 million workers from the labor force by 2032.

That is May’s signal: the bottom of the career ladder is being automated away while the top is running short of supply. The professionals in the middle face both at once.

Best Articles

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Why Entry-Level Hiring Is Down 80% At Companies Adopting AI Forbes — May 29, 2026

The number that defines May. Harvard economists Seyed Hosseini and Guy Lichtinger analyzed résumé and job posting data for 66 million workers across more than 280,000 US companies. Their finding: at AI-adopting firms, entry-level employment fell roughly 9% within six quarters of adoption relative to firms that did not adopt AI — and entry-level hiring declined by approximately 80% per quarter since 2023 at those firms. Senior employment at the same firms continued to grow throughout the same period. The researchers call it “seniority-biased technological change.” The mechanism is precise: AI is best at the codified, checkable work that defines early-career roles — debugging code, reviewing legal documents, drafting communications, entering data. These tasks are what junior workers have always learned on. A Stanford analysis of ADP payroll data corroborates the directional finding, showing a 16% relative decline in early-career employment in the most AI-exposed occupations since late 2022. The implications for talent pipelines are the part companies haven’t yet fully priced: 88% of chief human resources officers say AI is making early-career talent role-ready faster — but companies aren’t bringing those workers in to develop them.

The Great Mismatch: How a Shrinking Workforce, AI, and Labor Reallocation Will Define the Next 15 Years Indeed Hiring Lab — May 14, 2026

The most important single piece of labor market research published this month. The US labor force is projected to shrink by approximately 5.9 million workers by 2032, driven primarily by Baby Boomer retirements as the youngest of the cohort turn 68. In an AI-replacing scenario — where AI substitutes for existing work rather than creating new work — information sector unemployment rises to 21.2% by 2032, financial services to 11.8%, professional and business services to 10.7%. The sectors facing the worst structural labor shortages are healthcare, construction, and government — precisely the sectors where AI offers the least relief, because the work requires physical presence or clinical judgment that cannot yet be automated. The “reallocation problem” is the crux: even if workers wanted to move from information services to healthcare, the credentialing, wage expectations, and geographic constraints make that transition extremely difficult. Demographics are doing most of the work in both the surplus and the shortage; AI is amplifying the surplus side while doing nothing for the shortage side. This piece is the map for the next decade.

A Shifting Pipeline: What Indeed’s Data Reveals About Immigrants’ Role in the US Labor Force Indeed Hiring Lab — May 21, 2026

Foreign job seeker interest in US roles fell to 1.4% as of April 2026 — a six-year low, down from a peak of approximately 2.5% in August 2023. Net international migration is projected to fall from 2.7 million in 2024 to 321,000 by mid-2026, a 90% decline in two years. Software development is the sector where the collapse is most acute: foreign interest fell from 14.3% in Q1 2025 to 12.5% in Q1 2026, the largest absolute decline of any sector. Employers have been responding in the opposite direction — employer visa and green card sponsorship in job postings has tripled since the pandemic. The mismatch between employer demand for international talent and the actual pipeline of workers willing to come is now structural, not cyclical. Immigrants account for approximately 20% of the US labor force, found nearly half of Fortune 500 companies, and generate 42% more jobs per company than native-founded firms. The supply-side implications of this collapse run longer than any current quarter’s hiring data will reflect.

How People Actually Get to the C-Suite in S&P 500 Companies Harvard Business Review — May 2026

The counter-signal worth holding alongside the structural compression. Drawing on S&P 500 leadership data, HBR finds that approximately 60% of C-suite functional leaders were promoted internally — and up to 80% for certain roles — with internal appointments trending upward since 2020. After a CEO transition, most companies replace their CFO within four years, and more than 40% of chief technology officers and more than a third of chief legal officers transition out within the same window. The researchers identify four characteristics that distinguish executives who rise: enterprise thinking, collaboration, adaptability, and people leadership. What this means practically: in a market where the external talent pipeline is compressing and AI is reducing the junior rungs, the internal mobility channel is becoming proportionally more important, not less. Senior professionals who understand how internal advancement actually works — and build accordingly — are playing a different game than the one most career advice addresses.

Connecticut’s AI Law Signals A New Phase Of Employment AI Regulation Forbes — May 29, 2026

Connecticut has enacted one of the broadest employment AI transparency laws in the US: the Connecticut Artificial Intelligence Responsibility and Transparency Act. The law creates requirements around “automated employment-related decision technology” — covering AI-powered screening, evaluation, and employment decision systems. The regulatory framing matters: this is no longer a debate about whether employers may use AI in hiring. The question has shifted to whether employers can explain and defend what those systems actually do. For job seekers, this creates new disclosure rights worth understanding. For professionals in HR, legal, and compliance roles, this represents a structural expansion of liability and accountability that will generate demand across sectors. Several other states have similar legislation in motion. The regulatory arc now runs toward transparency and accountability, not prohibition — which means the compliance skill set, not the opposition skill set, is the one worth building.

Best Tools

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Perplexity AI Career research and market intelligence with cited, current sources. In a market where the structural conditions are changing quarterly and the advice lag runs six to eighteen months behind reality, having a research tool that surfaces primary sources rather than synthesizing outdated consensus matters. Use it to investigate which skills are actually in demand in a specific role, what a company’s actual AI adoption trajectory looks like, or what regulatory changes are affecting a target industry. Free tier available.

LinkedIn Skills Explorer Built from actual job postings rather than surveyed opinions. The WEF projects that 39% of core skills will change by 2030; LinkedIn’s real-time mapping of skills demand by role and geography is the closest thing to ground truth on which direction that change is moving. Free with a basic account; the data is more useful than most paid career research tools.

McKinsey Forward Free online learning program focused on adaptability, digital fluency, and professional problem-solving — the category of skills that compound over time and cannot be acquired through credentialing alone. Particularly relevant in a market that is pulling back on entry-level hiring: if the traditional on-ramp is contracting, the alternative development path runs through visible, demonstrable skill-building.

Best Opportunities

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WEF Future of Jobs Report 2025 Not a course — the most data-dense baseline currently available for understanding which skills are growing and which are declining across industries through 2030. Built from employer surveys and LinkedIn data across 22 industries and 55 economies. Essential calibration before making any significant career move or upskilling investment. Free download.

Google Career Certificates Free or near-free pathways into IT support, data analytics, cybersecurity, UX design, and project management — sectors where AI is augmenting worker productivity rather than eliminating entry points. For professionals navigating the contraction of traditional white-collar entry-level roles, these certificates represent an alternative on-ramp into sectors with structural labor demand. Certificates complete in three to six months; several are directly stackable toward an accredited degree.

JFF AI-Ready Workforce Toolkit Free frameworks and readiness blueprints from Jobs for the Future, designed for professionals and organizations assessing AI’s specific impact on their roles. Less hype-driven than most AI upskilling resources; the career readiness angle is built into the structure. Useful for professionals trying to assess whether their role sits in the surplus zone or the shortage zone of the 15-year mismatch projection.

Best Ideas

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The apprenticeship layer is how people became senior workers. Entry-level jobs were never primarily about output. They were about formation — the mechanism through which junior professionals encountered real problems, made recoverable mistakes, and built judgment that accumulated into expertise. AI is doing the routine work that defined those roles. The consequence isn’t just fewer entry-level jobs today; it’s a thinner pipeline of senior workers in five years. Organizations that recognize this and deliberately redesign entry-level roles around AI collaboration rather than eliminating them are making a different bet than the ones cutting headcount now. For individuals: if you’re in the early stages of a career, the task isn’t to compete with AI for the same tasks — it’s to identify the judgment-requiring layer just above the tasks AI is absorbing, and move toward it as fast as possible.

The 15-year map has two very different risk profiles. The Indeed Hiring Lab projection makes a structural distinction that most career advice glosses over: the sectors facing severe labor shortages (healthcare, construction, government, education) are not the same sectors facing surplus and AI-driven unemployment (information services, financial activities, professional business services). Neither is a comfortable position, but they’re fundamentally different problems. Surplus sectors require competitive differentiation at a level most professionals aren’t currently investing in. Shortage sectors require sector-crossing — credentials, geography, wage recalibration — that most professionals underestimate the difficulty of. Knowing which side of the wall you’re on right now is the first analytical move. Most professionals haven’t made it.

References

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• Castrillon, Caroline. (May 29, 2026). “Why Entry-Level Hiring Is Down 80% At Companies Adopting AI.” Forbes. https://www.forbes.com/sites/carolinecastrillon/2026/05/29/why-entry-level-hiring-is-down-80-at-companies-adopting-ai/ (Accessed May 29, 2026)
• Indeed Hiring Lab. (May 14, 2026). “The Great Mismatch: How a Shrinking Workforce, AI, and Labor Reallocation Will Define the Next 15 Years.” https://www.hiringlab.org/2026/05/14/how-a-shrinking-workforce-ai-and-labor-reallocation-will-define-the-next-15-years/ (Accessed May 29, 2026)
• Indeed Hiring Lab. (May 21, 2026). “A Shifting Pipeline: What Indeed’s Data Reveals About Immigrants’ Role in the US Labor Force.” https://www.hiringlab.org/2026/05/21/immigrants-role-in-the-us-labor-force/ (Accessed May 29, 2026)
• Stietz, Juliet, and Rainer Strack. (May 2026). “How People Actually Get to the C-Suite in S&P 500 Companies.” Harvard Business Review. https://hbr.org/2026/05/how-people-actually-get-to-the-c-suite-in-sp-500-companies (Accessed May 29, 2026)
• Martinez, Alonzo. (May 29, 2026). “Connecticut’s AI Law Signals A New Phase Of Employment AI Regulation.” Forbes. https://www.forbes.com/sites/alonzomartinez/2026/05/29/connecticuts-ai-law-signals-a-new-phase-of-employment-ai-regulation/ (Accessed May 29, 2026)
• World Economic Forum. (2025). “The Future of Jobs Report 2025.” https://www.weforum.org/publications/the-future-of-jobs-report-2025/ (Accessed May 29, 2026)