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- Execution jobs are disappearing, strategic jobs are holding, and AI-adjacent technical roles are exploding. Sustainability and compliance roles are collapsing.
Execution jobs are disappearing, strategic jobs are holding, and AI-adjacent technical roles are exploding. Sustainability and compliance roles are collapsing.
AI empowers strategic decision-makers to operate independently, reducing the need for coordinating teams beneath them. AI-generated clinical documentation is already substituting for human scribes.
AI’s Real Impact on Work: What 180 Million Job Postings Reveal
by ChatGPT-5
A massive, data-rich study of 180 million global job postings from January 2023 to October 2025 provides one of the clearest, most granular pictures yet of how AI is transforming the labour market. The analysis moves past speculation and anecdotes to answer a deceptively simple question: Which jobs are growing—and which ones are shrinking—right now? The results show that AI’s impact is sharp, selective, and asymmetric. Some jobs are being automated away at breathtaking speed, while others are unexpectedly resilient or even thriving. A pattern of bifurcation is emerging: execution jobs are disappearing, strategic jobs are holding, and AI-adjacent technical roles are exploding.
The Baseline: A Tough Job Market Overall
Job postings fell by 8% year-over-year in 2025—closely matching external labour market indicators—establishing a credible benchmark for evaluating role-specific changes.
This baseline matters. Roles declining more than 8% are deteriorating faster than the market itself.
Most Surprising Findings
1. Senior leadership roles barely declined at all
While postings for individual contributors fell sharply and manager-level roles dropped moderately, senior leadership roles (Director, VP, C-suite) declined only slightly.
This is counterintuitive in a world of layoffs and AI-driven productivity tools. Yet it aligns with an emerging trend: AI empowers strategic decision-makers to operate more independently, reducing the need for coordinating teams beneath them.
2. Customer service jobs are not being mass-replaced by AI
Customer service representatives—routinely framed as the most vulnerable to chatbot automation—declined only modestly, outperforming the overall market decline.
Human empathy, judgement, and accountability continue to matter.
3. Influencer marketing is one of the fastest-growing fields
Influencer marketing specialist roles grew significantly in 2025 after already growing the previous year.
This reflects a deeper trend: in an online world saturated by AI-generated content, consumers increasingly trust individuals—not brands, not corporate ads, not SEO-driven content.
Most Controversial Findings
1. AI is hitting creative “execution” roles hard
Computer graphic artists, photographers, and writers all experienced multi-year declines—suggesting structural erosion, not a temporary macro blip.
These are precisely the roles generative AI can most easily automate: producing, editing, drafting, rendering.
Meanwhile, creative directors, creative producers, and product designers remain stable or growing—because strategic judgement, client interaction, and holistic decision-making cannot be automated.
2. Sustainability and compliance roles are collapsing—even more than creative roles
Corporate compliance specialists, sustainability specialists, environmental technicians, and even senior compliance officers are among the steepest declines.
This is politically charged. These roles are disappearing not because of AI but due to regulatory rollback and reduced enforcement in key markets. AI is not the only disruptive force—politics and policy are reshaping labour demand even faster.
3. Medical scribes may be the first healthcare role meaningfully reduced by AI
Medical scribe postings declined notably year-over-year, while comparable healthcare admin roles remained stable.
This strongly suggests AI-generated clinical documentation is already substituting for human scribes.
Most Valuable Findings
1. AI-adjacent technical roles are exploding
Machine Learning Engineer job postings continue to surge, following explosive growth in the prior year.
The entire AI infrastructure stack is expanding:
Robotics engineers
Applied/research scientists
Data center engineers
These roles underpin AI’s physical deployment and computational backbone.
2. Software engineering remains extremely resilient
Despite fears of mass redundancy from coding assistants, most software engineering roles grew or remained stable.
AI enhances engineers rather than replaces them.
Frontend roles showed minor decline—likely due to automated “vibe coding” tools—while backend and complex engineering remain in strong demand.
3. Data analysis roles are stable despite AI tools
Data analysts and data management specialists continue to grow slightly.
AI can produce SQL, charts, and summaries, but deciding what questions to ask and what data to trust still requires human expertise.
4. Revenue strategy roles are rising
Director of Revenue roles show strong growth—reflecting increasing sophistication in revenue operations, product-led growth, and lifecycle monetization.
Core Pattern: Bifurcation Everywhere
The data reveals a consistent story:
Creative work
Strategic roles: stable
Execution roles: declining sharply
Marketing
Traditional roles: shrinking
Influencer/creator-driven roles: growing
Corporate hierarchy
Senior leadership: stable
Middle management: slightly negative
Individual contributors: hit hardest
Tech
Backend/AI infrastructure: strong
Simple front-end or commodity tasks: softening
AI is not replacing whole professions—it is hollowing out specific layers within them.
How Business Leaders Should Use This Information
1. Reallocate workforce investment toward strategic and judgment-heavy roles
Roles requiring creativity + judgement + stakeholder interaction remain resilient. Leaders should:
Protect and develop high-level creative thinkers
Reduce reliance on roles performing routine execution
Upskill ICs into hybrid strategic/technical capacities
2. Build AI competency internally—not just buy tools
The most rapidly expanding roles reveal a critical truth:
AI advantage will come from internal capability, not outsourcing.
Invest in:
AI infrastructure
In-house experimentation
Proprietary model deployment
RAG/AI orchestration
3. Reconsider managerial layers
AI is eroding the need for middle-management oversight. Leaders should:
Flatten hierarchies where appropriate
Equip directors/VPs with AI tools to be more autonomous
Redeploy displaced managers into value-creating roles like revenue strategy or data-driven operations
4. Protect customer trust
Customer service workers are stable because trust matters. Leaders must:
Blend AI triage with human escalation
Avoid full automation in emotionally sensitive contexts
Use AI to empower—not replace—service agents
5. Engage deeply with brand authenticity
Influencer marketing’s rise signals a collapse in trust in traditional channels. Businesses should:
Invest in creator partnerships
Measure influence with robust attribution
Avoid generic AI-driven content that erodes brand credibility
6. Prepare for regulatory whiplash
The collapse of sustainability/compliance roles underscores the importance of staying ahead of political volatility. Leaders must:
Avoid over-reactive cuts in compliance capacity
Build adaptable frameworks that survive regulatory shifts
Monitor geopolitical and trade-policy indicators closely
Conclusion: AI Is Reshaping Work from the Inside Out
AI is not unleashing mass unemployment—but it is surgically transforming the labour market. The winners are:
high-judgement strategic roles
technical AI infrastructure builders
creators and influencers
backend engineers
revenue strategists
The losers are:
execution-focused creative workers
sustainability/compliance staff
medical scribes
front-end commodity developers
individual contributors without strategic responsibilities
For business leaders, the message is clear: AI is a force multiplier for strategy, not a replacement for it. The companies that thrive will be those that actively redesign their workforce architecture—combining human judgement, AI-enabled productivity, and authentic engagement with customers and markets.
