Resilient
Last Update: 8/30/2026
AI Resilience Score for Managers, All Other:
68.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forManagers, All Other
$141,900 median salary•100,900 annual openings•SOC Code: 11-9199.00
Managers, All Other are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled "Resilient" because the most important parts of a manager's job, like making judgment calls, leading people through tough situations, hiring, and coaching teams, are things AI simply cannot replicate. AI tools are stepping in to handle data-heavy tasks (like threat analysis or tracking project progress), but that actually frees managers up to focus more on the human side of leadership, which is becoming even more valuable.
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This career is labeled "Resilient" because the most important parts of a manager's job, like making judgment calls, leading people through tough situations, hiring, and coaching teams, are things AI simply cannot replicate. AI tools are stepping in to handle data-heavy tasks (like threat analysis or tracking project progress), but that actually frees managers up to focus more on the human side of leadership, which is becoming even more valuable.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Managers, All Other
Updated Quarterly
How is AI changing Managers, All Other jobs?
For managers whose day-to-day looks a lot like the security tasks listed here (threat analysis, reviewing reports, running response drills), AI is showing up as an assistant rather than a replacement. On the security side, 2026 is bringing much wider adoption of AI-based security validation, including always-on penetration testing, continuous vulnerability assessments, and autonomous attack surface management running across enterprise infrastructure, meaning the data-crunching parts of threat and vulnerability analysis are increasingly handled by software. For broader project and program managers, PMI just published the world's first global standard for applying AI in project work [1], and it is built around human-in-the-loop oversight at every stage — a clear signal that AI is augmenting managers, not swapping them out.
Harvard Business School researchers who interviewed partners, managers, and junior consultants [2] found that middle managers are now spending real time validating AI outputs, catching errors, and coaching teams on AI skills. Leadership tasks like hiring, disciplining, and responding to emergencies remain firmly human.
How fast is AI adoption growing for Managers, All Other?
Adoption is moving quickly because the tools are commercially available and cheap compared with manager salaries — the U.S. Bureau of Labor Statistics projects [3] that AI-adjacent roles like data scientists and information security analysts will grow 28–33% through 2034, showing employers are investing heavily in these systems. But adoption is also being slowed by a training gap: The Conference Board reported [4] that while 55% of nearly 1,300 workers surveyed said they regularly use AI, only 1 in 3 said they had participated in employer-provided AI training in the past six months, and managers say they feel underequipped to lead an AI-fluent workforce. Legal and ethical pressure — like the EU AI Act — also pushes companies toward slower, human-supervised rollouts.
The takeaway for young people: judgment, empathy, and calm leadership under pressure are exactly the skills AI can't copy, and they're becoming more valuable, not less.
Sources
Will AI replace Managers, All Other?
No. We don't think AI will replace Managers, All Other, but we do expect the role to shift in meaningful ways.
Our scorecard gives this career a 68.7% AI Resilience Score, which puts it in stronger shape than most occupations. The data-heavy parts of the job, like threat analysis, report review, and vulnerability assessments, are increasingly handled by software. But that frees managers to focus on what AI genuinely cannot do: hiring, coaching, making judgment calls under pressure, and keeping teams steady when things go wrong. Harvard Business School researchers found that managers are already spending real time validating AI outputs and catching errors [2], which is a skill in itself, not a sign of being replaced.
Demand also looks healthy. PMI published a global standard for applying AI in project work that is built around human oversight at every stage [1], signaling that employers see managers as essential to responsible AI adoption, not optional. One real challenge is the training gap: only 1 in 3 workers reported participating in employer-provided AI training in the past six months [4]. Managers who close that gap themselves will be far better positioned than those who wait.
The bottom line: AI is becoming a tool managers use, not a force that replaces them.
Sources
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Latest AI news for Managers, All Other
These articles highlight the evolving role of middle managers in a world increasingly influenced by AI. For instance, Jack Dorsey suggests that AI could take over coordination and decision-making tasks, potentially reshaping managerial responsibilities. Additionally, the KPMG piece emphasizes that AI will become vital for organizational resilience, urging managers to adapt and leverage AI to enhance their teams' effectiveness. Embracing AI as a supportive tool, rather than a replacement, can lead to a more resilient and innovative management approach in the future.
‘AI-resilient’ job doesn’t mean AI-free, say workers
www.straitstimes.com • 7/20/2026
Discover how workers in AI-resilient sectors are using artificial intelligence to complement their physical and human-centric roles.
AI Adoption Is Overloading Your Middle Managers
hbr.org • 7/20/2026
Most organizations treat AI adoption as a technology challenge—a software rollout to be managed by IT and celebrated by the C-suite.
Managing the AI impact on organizational resilience
kpmg.com • 5/5/2026
2026 is shaping up to be the year Artificial Intelligence (AI) takes its place as a critical component of business infrastructure, marking a significant...
Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs
www.coindesk.com • 4/1/2026
Dorsey's plan strips out middle management, with AI handling coordination, product decisions, and internal alignment.
HR in 2026 will be Defined by the Impact of AI Innovation on Work
mediacenter.adp.com • 11/17/2025
From skills-based job design to agentic AI, ADP experts provide insights on the trends and developments that will define work in 2026.
More Career Info
Career: Managers, All Other
They oversee various projects or teams, making sure everything runs smoothly by planning, directing, and coordinating different activities.
Parent Careers
Employment & Wage Data
Median Wage
$141,900
Jobs (2025)
1,338,800
Growth (2025-35)
+4.9%
Annual Openings
100,900
Education
Bachelor's degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Respond to medical emergencies, bomb threats, fire alarms, or intrusion alarms, following emergency response procedures.
2
Supervise or provide leadership to subordinate security professionals, performing activities, such as hiring, background investigation, training, assigning work, evaluating performance, or disciplinin...
3
Coordinate security operations or activities with public law enforcement, fire and other agencies.
4
Develop, arrange for, perform, or assess executive protection activities to reduce security risks.
5
Attend meetings, professional seminars, or conferences to keep abreast of changes in executive legislative directives or new technologies impacting security operations.
6
Plan, direct, or coordinate security activities to safeguard company assets, employees, guests, or others on company property.
7
Monitor and ensure a sound, ethical environment.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
