If you spend five minutes on LinkedIn or business news feeds, the conversation about the modern labor market feels chaotic. Every week brings another debate asking whether AI will eliminate entry-level work, which skills you need to know to avoid layoffs, or where the next high-paying career path will come from.
Most of this conversation is based on speculation, what people think could happen one day.
“There’s a lot of speculation about what AI will do to jobs in five years. But we can look at what employers are asking for right now,” says Tigran Sloyan, CEO and co-founder of CodeSignal. “Across roughly 50 million live job postings, the picture is more nuanced than the headlines suggest. AI skills matter, but employers are also looking for people who can apply their skills to real work and make sound decisions in complex situations.”
To see what this looks like today, we analyzed approximately 50 million live job postings through CodeSignal’s market intelligence tool, tracking 789 distinct job roles, 6,431 validated skills, and 1,534 tools across the world.
As AI changes the workforce, we can see a few things happening:
1. Soft skills are being narrowed down into verifiable skills. Interpersonal skills are one of the most important, yet hardest skills to verify. More specific, measurable interpersonal skills are being mentioned in 28% of job postings.
2. AI takes the lead for highest paid skills. AI and machine learning fundamentals is the highest paid skill on the market, earring a $212,000 median advertised salary.
3. The highest paid jobs are evenly split between tech and non-tech roles. Five of the 10 highest paying jobs are outside of the tech industry, and in some cases trades roles like construction manager outpay tech roles.
Here is what 50 million job postings tell us about where compensation and skills demand stand right now.
What skills companies need most right now (and why baseline soft skills aren’t enough)
What are employers actually looking for when they open a new job?
If you look at raw hiring volume, the answer seems obvious. Foundational interpersonal skills dominate the market by a wide margin. Across millions of active listings, employers consistently list collaboration, teamwork, and communication at the top of their requirement lists.
Figure 1: The highest-volume skills across 50 million worldwide job postings, tracked in CodeSignal’s market intelligence tool.
The top five skills by total market demand illustrate that baseline:
- Communication and interpersonal skills: Demanded in 16% of all job postings, roughly 366,125 postings per week.
- Working cooperatively: Appears in 16% of postings, roughly 364,218 postings per week.
- Problem solving: Found in 14% of postings, roughly 305,422 postings per week.
- Collaborating with others: Found in 14% of postings, roughly 304,786 postings per week.
- Effective communication: Required in 12% of postings roughly 269,826 postings per week.
This won’t be a shock. Every organization needs employees who can talk to customers, resolve friction, and work alongside colleagues without derailing projects. We know that these skills are needed, and we know that companies are willing to pay for them.
What is interesting is how employers are describing those requirements.
They are now looking for more specific skills they can easily evaluate and verify with practice:
• Meeting customer needs: Demanded in 12.0% of all market postings (nearly 240,000 postings per week).
• Stakeholder relationship management: Required in 4.0% of market postings.
• Negotiating: Demanded in 4.4% of market postings.
• Project planning and scheduling: Required in 3.3% of market postings.
The takeaway for candidates and talent leaders is that while foundational interpersonal skills are needed, more hiring teams are leaning on specific skills that can be easily measured and validated pre-hire.
What skills command the highest pay in 2026
When we rank all 6,431 skills in our taxonomy by their median advertised salary, the results show a clear hierarchy. The top of the pay scale is dominated by machine learning and other technical skills:
- AI and machine learning fundamentals: $212,000 median advertised salary. This is the single highest-paying skill set across our entire taxonomy.
- Technology strategy and roadmapping: $190,000 median advertised salary.
- Architecture tradeoff analysis: $189,000 median advertised salary.
- Technical product management: $186,000 median advertised salary.
- Product positioning and messaging: $183,000 median advertised salary.
- Go-to-market and scaling strategies: $182,000 median advertised salary.
- Roadmap planning and prioritization: $182,000 median advertised salary.
- Scholarly Writing and Publishing: $182,000 median advertised salary.
- Large language models (LLMs): $181,000 median advertised salary.
- Model evaluation and optimization: $181,000 median advertised salary.
- Machine learning modeling: $180,000 median advertised salary.
- Model training and tuning: $180,000 median advertised salary.
- Scalability and performance engineering: $180,000 median advertised salary.
- Infrastructure as code (IaC): $179,000 median advertised salary.
- Clinical Medicine: $179,000 median advertised salary.
Figure 2: The highest-paying skill sets across 50M job postings, led by AI fundamentals, systems architecture, and product strategy.
What jobs command the highest pay in 2026
According to skills alone, a career in tech would lead to the highest pay. And while it’s true that it’s the highest paid sector, this doesn’t give you the full picture.
For the past two decades, career guidance for young professionals was simple: build a career in tech.
Everywhere we looked there was a success story of someone learning to code for fun, deciding to turn their people skills into a tech sales job, or using their Type A personality to become a project manager. They all had the highest paying jobs around.
The story looks a little different now with 50% of the highest paying jobs being outside of the technology sector.
Figure 3: Top-paying roles ranked by median advertised salary, showing Construction Managers ($111k) outpacing Data Engineers ($107k).
And while yes, tech as a sector takes up 50% of the board, the non-tech jobs listings account for higher pay, with a total of $714,000 median salary compared to tech’s $666,000.
The rise of the toolbelt generation: Construction managers out-earning data engineers
In 2026, the data shows that pay for construction managers and other hands-on roles is matching, and in some cases beating, many white-collar jobs.
Look at the advertised salaries across roles:
- Construction manager: Commands a median advertised salary of $111,000.
- Data engineer: Advertises a median salary of $107,000.
- Occupational therapist: Advertises a median salary of $104,000.
Construction managers are currently edging out data engineers and occupational therapists.
This trend extends even further into other types of specialized trades. HVAC technicians command an advertised median of $70,720 and commercial truck drivers advertise a median of $62,500. Both roles significantly out-earn standard entry-level corporate positions like administrative assistants ($42,022 median) and customer service representatives ($32,000 median).
This economic reality is fueling what sociologists and labor economists call Gen Z’s “toolbelt generation.” Facing escalating university tuition debt and automated entry-level desk jobs, younger workers are increasingly turning to vocational training, technical trade management, and field operations where physical presence and practical leadership can’t be outsourced or replaced by software.
What this means for your workforce strategy in 2026
Whether you are leading talent acquisition for an enterprise or evaluating your own career roadmap, these findings carry practical implications.
For hiring managers and talent leaders:
- Add specific, measurable skills to your job descriptions. Generic claims of communication and collaboration are declining in value. Shift your evaluation processes to measure if candidates can really perform on the job, whether that means managing a customer escalation, resolving a stakeholder disagreement, or architecting a cloud microservice.
- Measure the skills you’re paying for. AI and machine learning fundamentals is by far the highest paying skill, but it’s also the skill that most companies haven’t established how to measure yet. If someone has an AI fluency certification it means they understand what AI is and, hopefully, how to use it. But are they using it to increase ROI? Now more than ever it’s vital to measure how these high paying skills are impacting your organization.
For job seekers and working professionals:
- Double down on durable, verifiable competencies. List specific, measurable skills with results on your resume. And if you’re in the tech field, prioritize AI training that enables you to actually practice using the tools, not just learning about them.
- Look beyond conventional industry prestige. High compensation is no longer confined to traditional tech roles. Roles in construction, supply chain, facilities management, and more offer opportunities for higher pay.
How we analyzed the data
The insights in this report are drawn from CodeSignal’s market intelligence tool.
- Dataset scale: Approximately 50 million live job postings collected across the world during a 21-week window ending October 2026.
- Taxonomy coverage: 789 distinct job roles, 6,431 validated skill sets, and 1,534 named technologies and software tools.
- Geographic coverage: Sampled job postings from locations worldwide.
- Compensation normalization: All salary data represents advertised salary midpoints from pay-disclosing job postings in the last 12 weeks, normalized to US dollars. Values are reported as median advertised salaries alongside middle 50% bands (25th to 75th percentiles) to account for regional and organizational variation.