Is your tech salary actually competitive, or does the number only look good on paper? Tech salary trends 2026 show that pay can vary sharply by role, experience, location, and specialization, making broad industry averages less useful when judging what you should actually earn.
Robert Half projects technology and IT salaries to rise by about 1.6% in 2026, but stronger opportunities remain concentrated in specialized areas such as AI, cybersecurity, cloud, data, and advanced development. Employers are also placing greater value on production experience and measurable business impact.
This guide breaks down 2026 tech salaries by role and explains how skills, seniority, location, and total compensation shape market value. For a broader look at career paths and hiring opportunities, explore our Tech Careers & IT Jobs Guide.
Key Takeaways: Tech Salaries in 2026
- Overall U.S. technology and IT salaries are projected to rise by about 1.6% in 2026.
- Specialized skills in AI, data, cybersecurity, cloud, DevOps, and advanced development continue to support stronger compensation.
- AI/ML engineers have a reported national starting-salary midpoint of $170,750 in the salary data used in this guide.
- Salary can vary substantially based on role, seniority, location, specialization, and business impact.
- Professionals should compare total compensation, not base salary alone.
- Production experience and measurable results can provide stronger salary leverage than simply listing tools or technologies.
Tech Salary Trends 2026 at a Glance
| Trend | 2026 Signal | What It Means |
|---|---|---|
| Overall technology pay | About 1.6% projected average increase | Broad salary growth remains moderate |
| AI and data specialization | Stronger-than-average growth | Proven expertise can command premiums |
| Software development | Continued salary growth | Advanced development skills remain valuable |
| Cybersecurity | Persistent demand | Security expertise remains closely tied to business risk |
| Cloud and infrastructure | Continued importance | Modernization keeps infrastructure skills relevant |
| Entry-level hiring | More selective | Practical ability and judgment matter more |
| Total compensation | Increasingly important | Bonus, equity, benefits, and work terms affect overall value |
According to the Robert Half 2026 Technology Salary Guide, employers remain willing to pay more for specialized capabilities in areas such as AI and machine learning, cybersecurity, cloud computing, software development, and data analytics.
That does not mean every worker in these fields will receive the same premium. Experience, responsibility, location, industry, and the difficulty of replacing a particular skill set still matter.
Tech Salaries by Role in 2026
There is no single useful “average tech salary” because compensation differs substantially between occupations and experience levels.
The following figures are national starting-salary estimates from Robert Half’s 2026 salary data. They are useful as market benchmarks but should not be treated as guaranteed compensation.
| Tech Role | Low | Midpoint | High |
|---|---|---|---|
| AI/ML Engineer | $134,000 | $170,750 | $193,250 |
| Data Engineer | $127,000 | $156,250 | $180,750 |
| Data Scientist | $121,750 | $153,750 | $182,500 |
| DevOps Engineer | $118,000 | $145,750 | $173,750 |
| Cybersecurity Engineer | $118,500 | $144,000 | $190,750 |
| Software Engineer | $109,250 | $142,000 | $175,500 |
| Network/Cloud Engineer | $110,000 | $132,000 | $155,000 |
| ERP Business Analyst | $101,000 | $123,250 | $142,250 |
| IT Project Manager | $103,500 | $122,750 | $147,000 |
| Systems Administrator | $80,250 | $98,000 | $118,000 |
These ranges are especially useful when comparing offers, but they should always be adjusted for location, seniority, responsibilities, and total compensation.
AI and Machine Learning Salaries
AI and machine learning remain among the most valuable technical specialties in the 2026 market. Robert Half reports a national starting-salary midpoint of $170,750 for AI/ML engineers, with the upper end of its range reaching $193,250.
The important point is that the salary premium is not attached to the word “AI” itself. Employers generally place greater value on professionals who can move AI systems beyond experimentation and into reliable production environments.
An engineer who can connect models with data pipelines, infrastructure, product requirements, evaluation systems, security controls, cost management, and business outcomes may have considerably more leverage than someone whose experience is limited to using generative AI tools.
Professionals specifically considering this area can explore Best AI Jobs in USA for a broader comparison of AI-focused career paths and the skills associated with them.
Data Engineering and Data Science Salaries
Data engineers have a reported 2026 national starting-salary midpoint of $156,250, while data scientists have a midpoint of $153,750.
These roles remain important because modern analytics and AI systems depend heavily on reliable data. Organizations need professionals who can collect, structure, govern, move, analyze, and interpret information at scale.
Compensation within data roles can vary significantly depending on the work involved. A position focused primarily on reporting may not have the same market value as a role involving production data pipelines, machine learning systems, experimentation, large-scale analytics, or decisions tied directly to revenue and operational performance.
DevOps, Cloud, and Infrastructure Salaries
DevOps engineers have a reported national starting-salary midpoint of $145,750, while network and cloud engineers have a midpoint of $132,000.
Cloud adoption is no longer a new trend, but managing cloud environments efficiently remains difficult. Companies need professionals who understand deployment automation, system reliability, observability, networking, access control, security, and infrastructure cost.
This is why cloud expertise tends to become more valuable when it extends beyond familiarity with a single platform. Someone who can connect infrastructure decisions with reliability, security, developer productivity, and financial efficiency may have stronger compensation leverage.
Developers and infrastructure professionals who want to strengthen their practical workflow can also review our Developer Tools Guide, which covers the software used throughout modern development and delivery environments.
Cybersecurity Salaries Remain Competitive
Robert Half places the national 2026 starting-salary midpoint for cybersecurity engineers at $144,000, with its reported range extending as high as $190,750.
Official labor-market data also supports the broader demand for security expertise. The U.S. Bureau of Labor Statistics reports a May 2025 median annual wage of $129,180 for information security analysts and projects employment in that occupation to grow 21% between 2025 and 2035.
Those numbers should not be treated as direct equivalents. Robert Half reports starting-salary estimates for particular positions, while BLS occupational data represents wages across workers already employed in a broader occupation.
Together, however, they show why cybersecurity continues to matter. Security failures can create operational, financial, regulatory, and reputational risks, which keeps qualified professionals close to important business decisions.
Software Engineer Salaries in 2026
Robert Half reports a 2026 national starting-salary range of $109,250 to $175,500 for software engineers, with a midpoint of $142,000.
The latest available BLS data provides another useful benchmark. Its May 2025 occupational data reports a median annual wage of $135,980 for software developers.
Again, the figures measure different things. A starting-salary guide estimates what employers may offer when hiring for a position, while an occupational median describes the middle wage among people already working in that field.
Software engineering compensation also varies dramatically by specialization and responsibility. An engineer maintaining a small internal application should not automatically expect the same compensation as someone responsible for high-scale architecture, distributed systems, security-sensitive products, or major production infrastructure.
Professionals trying to move toward stronger engineering roles can use our Software Development Career Tips guide to explore the experience and professional skills that can improve long-term career progression.
Are Tech Salaries Increasing in 2026?
Yes, although the rate of increase varies significantly across roles.
Robert Half projects an average increase of roughly 1.6% across technology and IT salaries in 2026. Its research indicates stronger increases in specialized areas such as AI/ML engineering and data science, while software and application development also continue to show salary growth.
This is why broad headlines about the technology labor market can sometimes be misleading. Moderate industry-wide salary growth can exist at the same time as considerably stronger demand for particular skills.
Professionals should therefore research their specific occupation rather than applying one industry-wide percentage to every role.
Highest-Paying and Fastest-Growing Tech Roles Are Different
“Highest paying” and “fastest growing” are often treated as if they mean the same thing, but they measure different parts of the market.
A position may already offer a very high salary while experiencing only modest annual growth. Another occupation may have a lower salary today but experience faster increases because employers are struggling to recruit workers with the required expertise.
For that reason, salary research should consider current compensation, the direction of pay growth, and employer demand together.
This gives a more useful picture than simply ranking jobs by the largest headline salary.
AI Is Creating Uneven Salary Premiums
Artificial intelligence is influencing compensation beyond dedicated AI jobs. It increasingly affects software development, data engineering, cybersecurity, infrastructure, product development, analytics, and business automation.
However, simply adding AI tools to a résumé does not automatically create a salary premium.
Employers are more likely to value AI expertise when it helps solve real operational or product problems. Professionals who can evaluate model quality, integrate AI into existing systems, control costs, maintain reliable data pipelines, protect sensitive information, or monitor production performance can offer capabilities that are harder to replace.
The distinction is important because basic AI-tool familiarity is becoming increasingly common. Production-level judgment remains much scarcer.
This same shift is also creating opportunities outside traditional software roles. Our guide to RPA Business Automation Careers examines careers centered on automation, workflow design, and technology-driven process improvement.
What 2026 Salary Trends Mean for Entry-Level Workers
Entry-level technology hiring is changing as AI tools become capable of performing some routine coding, drafting, testing, research, and analytical work.
That does not mean junior roles are disappearing. It does mean employers can expect more from early-career candidates.
A portfolio that contains only tutorial projects or AI-generated code may be less convincing than one that demonstrates how a candidate identified a problem, selected an approach, built the solution, tested it, corrected failures, documented the process, and explained the reasoning behind important decisions.
The ability to validate AI output is becoming particularly important. Employers still need people who can recognize when generated code is insecure, inefficient, inaccurate, or inappropriate for the system in which it will be used.
For students and career changers deciding what to learn next, Tech Education Trends 2026 provides additional context on how technology education and employer expectations are evolving.
Experience Level Has a Major Effect on Salary
The wide ranges seen in technology salary data are partly explained by differences in responsibility.
Two people may both have “Software Engineer” in their job title while performing very different work. One may contribute to a small application under close supervision, while another may design critical systems, lead migrations, mentor engineers, make architectural decisions, and take responsibility for production reliability.
Employers are generally more willing to pay for proven responsibility than for a long list of tools.
Production experience, system ownership, architecture work, security responsibility, technical leadership, cost optimization, and measurable business outcomes can all affect where a candidate falls within a salary range.
Certifications can also strengthen a candidate’s profile in certain infrastructure, cloud, networking, cybersecurity, and IT roles, although their value depends heavily on the position. Professionals evaluating credentials can review our IT Certification Guide to understand where certifications may support a technology career.
Location Still Shapes Tech Pay
Remote work has not created one national salary for U.S. technology workers.
Some employers use national compensation bands, while others adjust salaries according to an employee’s location or regional labor market. Large technology markets such as the San Francisco Bay Area, Seattle, and New York can therefore have compensation patterns that differ from lower-cost markets.
Remote workers should also look beyond the advertised number. Geographic salary adjustments, state taxes, hybrid requirements, commuting costs, relocation expectations, and local purchasing power can materially change the practical value of an offer.
Candidates specifically looking for location-flexible opportunities can also explore our Remote IT Jobs USA Guide for more information about remote technology roles and the U.S. hiring market.
Base Salary vs Total Compensation
Base salary is important, but it should not be evaluated in isolation.
| Compensation Component | What to Check |
|---|---|
| Base salary | Guaranteed amount and review schedule |
| Annual bonus | Target-based, discretionary, or guaranteed |
| Equity | Type, vesting period, valuation, and liquidity |
| Signing bonus | Payment terms and possible repayment requirements |
| Retirement benefits | Employer contributions and matching |
| Health benefits | Premiums, deductibles, and coverage |
| Paid leave | Vacation, sick leave, and parental leave |
| Learning benefits | Training, certifications, and conference budgets |
| Work terms | Remote, hybrid, travel, and on-call expectations |
A higher base salary does not automatically mean a better compensation package. Compare guaranteed cash, variable compensation, equity, benefits, and work requirements separately before evaluating the overall value of an offer.
Consider two hypothetical offers. One provides a $155,000 base salary with a $10,000 target bonus. Another offers a $145,000 base salary, a $20,000 target bonus, equity, and stronger retirement contributions.
The first offer has the higher base salary, but that alone does not establish which package provides greater value.
Equity requires particular caution because it is not equivalent to guaranteed cash. Vesting requirements, dilution, company valuation, business performance, and liquidity can all affect its eventual value.
Skills That Improve Salary Leverage
Technical specialization remains important, but employers increasingly look for evidence that a candidate can use those skills effectively.
AI, cybersecurity, cloud architecture, data engineering, DevOps, software development, automation, and systems architecture can all create salary leverage when they solve difficult or expensive problems.
The strongest professionals often combine this technical depth with communication, project ownership, business understanding, security awareness, and cost awareness.
For example, saying that you know a cloud platform communicates less value than explaining how your architecture reduced infrastructure costs, improved reliability, shortened deployment time, or prevented recurring incidents.
Measurable impact makes technical expertise easier for an employer to value.
How to Research a Fair Tech Salary
A reliable salary target should be built from several comparable sources instead of one online estimate.
Start by matching the exact job level and responsibilities. Software Engineer, Senior Software Engineer, Staff Engineer, and Engineering Manager represent different compensation markets even when they work with similar technology.
Then match the location. A national figure can provide context, but it should not automatically become the salary expectation for every U.S. city or remote position.
Government data such as the Bureau of Labor Statistics can provide a broad occupational baseline, while current employer job postings show what companies are actually advertising for similar positions. Recruiting salary guides and reputable compensation platforms can add additional context.
The final step is to separate base salary from total compensation and establish a realistic range rather than one exact number. A candidate can think in terms of a minimum acceptable package, a market-supported target, and a stronger outcome that would still be defensible for an excellent match.
This method produces a more realistic salary expectation than selecting the highest figure found online.
How to Negotiate a Tech Offer
Salary negotiation is more effective when it is based on evidence.
Before negotiating, clarify the position’s level, responsibilities, and compensation band. Compare the offer with jobs requiring similar experience, location, and technical responsibility, then explain how your own experience relates to the value expected from the role.
Measurable results can make that discussion stronger. Examples might include reducing infrastructure costs, improving application performance, preventing security incidents, increasing system reliability, leading a difficult migration, or delivering a product that generated meaningful business results.
When the employer has limited flexibility on base salary, other parts of the package may still matter. A signing bonus, annual bonus, equity, earlier compensation review, additional leave, learning budget, title adjustment, or improved remote-work terms can materially change the overall offer.
How We Evaluated 2026 Tech Salaries
This guide deliberately uses more than one type of salary information.
Robert Half’s 2026 data provides national starting-salary ranges for technology positions. These figures can help candidates evaluate the hiring market but vary based on experience, qualifications, employer, and location.
The Bureau of Labor Statistics provides occupational wage and employment data. At the time of this guide, May 2025 wage estimates are the latest available for occupations such as software developers and information security analysts.
A starting-salary range and an occupational median wage measure different things, so they should not be combined into one artificial average.
Using both types of data instead provides context: salary guides help show current hiring-market expectations, while government data offers a broader benchmark across an occupation.
Read the Market, Not the Headline
The U.S. technology salary market in 2026 continues to reward specialization and proven impact, but compensation remains uneven.
AI, data, cybersecurity, cloud, software development, infrastructure, and automation skills can command strong salaries when they are connected to important business outcomes. At the same time, job level, location, employer, experience, and total compensation can create substantial differences between two apparently similar positions.
A defensible salary expectation should therefore be based on comparable work rather than the highest number attached to a broad technology label.
Compare the role, responsibilities, experience level, and location. Separate guaranteed salary from bonus and equity. Use several current sources and consider the entire compensation package before deciding what an opportunity is actually worth.
Frequently Asked Questions
There is no single meaningful average salary for the entire U.S. technology industry. Compensation varies significantly according to occupation, seniority, location, company, industry, specialization, and compensation structure. Role-specific salary data provides a more useful benchmark.
Yes, but growth is uneven. Robert Half projects average technology and IT salaries to increase by approximately 1.6% in 2026, while some specialized AI, data, and development roles are seeing stronger growth.
Robert Half reports a 2026 U.S. national starting-salary range of $109,250 to $175,500 for software engineers, with a midpoint of $142,000. Separately, BLS reports a May 2025 median annual wage of $135,980 for software developers. The figures use different methodologies and should not be treated as identical measurements.
AI and machine learning, cybersecurity, data engineering, cloud architecture, DevOps, software development, infrastructure, and automation can support higher compensation. The strongest salary leverage usually comes when technical expertise is combined with production experience and measurable results.
They can, but not every type of AI experience carries the same value. Professionals who can build, integrate, evaluate, secure, optimize, or govern AI systems are generally positioned differently from candidates who only have basic familiarity with AI tools.
No. Some employers use national salary bands, while others adjust compensation according to an employee’s location or local labor market. Remote candidates should confirm how geographic compensation is calculated.
Equity can be an important part of total compensation, but it should be evaluated separately from guaranteed base salary. Vesting, dilution, valuation changes, company performance, and liquidity can affect its eventual value.
Compare the offer with current job postings, government wage data, reputable salary guides, and compensation platforms for similar roles, seniority levels, and locations. Base salary, bonus, equity, benefits, and work requirements should all be evaluated separately before comparing total packages.
