Introduction
The Bureau of Labor Statistics (BLS) recently broadened its AI‑exposure list to include public‑relations (PR) specialists, web developers, and hotel workers. While headlines focus on job loss fears, the BLS emphasizes that AI exposure is a risk indicator, not a death sentence. Understanding the data behind the list, the projected employment trends, and actionable career strategies is essential for anyone in these fields.- --
How the BLS Determines AI Exposure
The BLS combined five external data sources to create a four‑category classification of relative AI exposure for every occupation in its projections:
1. Three theoretical measures that score an occupation’s potential exposure based on task similarity to AI capabilities.
2. Two observed‑usage measures that map real‑world AI tools to occupational tasks.
The process involved:
- Calculating median percentile ranks for each occupation across the five sources.
- Applying a clustering algorithm to group occupations into four exposure categories (low, moderate, high, and very high).
“Potential AI impacts on occupations are highly uncertain, but they are an important component of career planning.” – BLS Employment Projections (2025‑35)¹.
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New Occupations on the List
| Occupation | AI Exposure Category* | 2024 Median Pay | 2023 Employment | 2033 Projected Employment | % Change 2023‑33 |
|------------|-----------------------|----------------|----------------|---------------------------|------------------|
| Public Relations Specialists | High | $62,800 | 276,400 | 308,500 | 11.6% |
| Web Developers | High | $77,200 | 1,692,100 | 1,995,700 | 17.9% |
| Hotel Workers (incl. Hosts, Hostesses, Counter Clerks) | Moderate | $31,500 | 8,300,000† | 8,600,000† | 3.6% |
*Software developers and related occupations are used as a proxy for web developers where BLS data is aggregated.
†Combined estimate from multiple hotel‑related occupations listed in the BLS AI‑risk expansion.
These roles join a broader set of occupations—such as proofreaders, editors, translators, and data scientists—that scored high on AI applicability in the 2025 BLS report.
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Wage and Employment Outlook
The BLS reports a median annual wage of $49,500 for all workers in May 2024. Compared to the national median, the new AI‑exposed occupations show varied pay scales:
- Web developers earn well above the median, reflecting strong demand despite AI competition.
- PR specialists sit modestly above the median, but the rapid adoption of AI‑generated content tools could compress wages.
- Hotel workers earn below the median, making them especially vulnerable to cost‑cutting automation.
Growth Rates for Selected High‑Exposure Occupations
| Occupation | Projected Growth 2023‑33 |
|------------|--------------------------|
| Software Developers | 17.9% |
| Personal Financial Advisors | 17.1% |
| Computer Occupations (overall) | 11.7% |
| Database Architects | 10.8% |
| Electrical Engineers | 9.1% |
| Business & Financial Operations | 6.9% |
These figures illustrate that high AI exposure does not always correlate with low growth; many tech‑heavy roles continue to expand, suggesting a shift toward AI‑augmented work rather than outright replacement.
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How This Compares to Other AI‑Risk Lists
- Microsoft’s 40‑job list highlighted historians, translators, and sales reps as the most exposed, echoing the BLS’s findings on language‑heavy occupations.
- Fortune’s coverage noted that high applicability scores do not guarantee job loss, but they do prompt employers to pause hiring or restructure roles.
- The AI Career Index similarly ranks jobs by exposure, reinforcing the consensus that creative‑and‑communication‑focused roles are front‑line candidates for AI augmentation.
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Practical Strategies for Affected Professionals
1. Upskill in AI‑augmented tools – PR specialists can master AI‑driven media monitoring and content‑generation platforms (e.g., ChatGPT, Jasper). Web developers should become proficient in AI‑assisted design tools like GitHub Copilot and Webflow AI.
2. Emphasize uniquely human skills – storytelling, strategic thinking, relationship building, and emotional intelligence remain difficult for AI to replicate.
3. Pursue interdisciplinary credentials – Combining hospitality experience with data analytics or AI ethics can open niche roles in AI‑enhanced guest services.
4. Leverage certifications – BLS notes that on‑the‑job training and post‑employment education are critical. Certifications in digital marketing analytics, UX design, or AI ethics can differentiate candidates.
5. Stay informed on policy – The BLS cautions that AI’s employment impact is uncertain; monitoring legislative developments (e.g., AI‑related labor standards) can help anticipate industry shifts.
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Conclusion
The BLS’s decision to add PR, web design, and hotel occupations to its AI‑exposure list underscores a broader trend: AI is moving from back‑office automation to front‑line creative and service roles. While the data signals risk, it also highlights opportunities for workers who adapt, upskill, and integrate AI as a collaborative tool. By understanding the methodology behind the rankings, monitoring wage and growth trends, and proactively expanding skill sets, professionals can navigate the evolving AI economy with confidence.
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References
1. BLS, AI Impacts in BLS Employment Projections (2025) – https://www.bls.gov/opub/ted/2025/ai-impacts-in-bls-employment-projections.htm
2. BLS, Artificial Intelligence (AI) Exposure Categories – https://www.bls.gov/emp/publications/ai-exposure-categories.htm
3. BLS, Web Developers and Digital Designers – https://www.bls.gov/ooh/computer-and-information-technology/web-developers.htm
4. Startup Fortune, BLS Widens Its AI Job Risk List to Include PR, Web Design and Hotel Work – https://startupfortune.com/bls-widens-its-ai-job-risk-list-to-include-pr-web-design-and-hotel-work
5. Fortune, Microsoft researchers have revealed the 40 jobs most exposed to AI – https://fortune.com/article/what-are-the-jobs-most-exposed-to-ai-microsoft-researchers-list
6. AI Career Index – https://aicareerindex.com/rankings/most-exposed
