The Technology Talent Market: What Hiring Leaders Need to Know

The technology talent market has changed, but more available candidates do not necessarily mean easier hiring. For employers, the challenge today is less about finding people with technology experience and more about finding the right combination of specialized expertise, business understanding, adaptability, and judgment. 

That distinction matters because the work is changing, too. AI is reshaping how technology teams operate. Technical roles are becoming more specialized. Businesses expect technology professionals to understand the outcomes behind the systems they build. At the same time, companies have more options for accessing expertise beyond the traditional full-time hire. 

For leaders, this creates an opportunity to rethink the starting point for technology hiring. Rather than beginning with a familiar title and a long list of technical requirements, begin with a simpler question:

What capability does the business actually need?

How Is the Technology Talent Market Changing? 

Technology hiring has become more selective. I have seen organizations take a more deliberate approach to where they add headcount, which capabilities need to exist internally, and what level of expertise a role truly requires. 

That selectivity, however, should not be confused with an abundance of every kind of technology talent. 

The U.S. Bureau of Labor Statistics projects employment of software developers to grow 10% from 2025 to 2035, compared with 3% across all occupations. Data scientist employment is projected to grow 35% during the same period. 

Those projections reinforce an important point for hiring leaders: broad changes in the labor market do not affect every technology discipline equally. The market is increasingly segmented by capability and specialization. 

Technical depth is becoming more important 

As technology environments become more complex, the difference between general familiarity and meaningful expertise matters. 

An organization modernizing a cloud environment may not simply need an experienced technology professional. It may need someone who understands architecture, security, migration risk, cost optimization, and how those decisions affect existing systems. A company developing an AI-enabled product may require an entirely different combination of data, software, architecture, and AI expertise. 

This is one reason a larger candidate pool does not automatically translate into an easier search. 

Why Is Technology Hiring Still Difficult When More Candidates Are Available? 

More applications can create more choice, but they do not necessarily create more qualified matches. The pool of candidates with the right combination of specialized expertise, relevant experience, business understanding, and judgment may still be limited, and some experienced professionals may not be actively applying. 

The search can become even more difficult when job descriptions combine several distinct roles or treat too many skills as essential. A more focused definition of the capabilities the business actually needs can help create a more realistic talent profile and make it easier to identify the right candidates. 

The hiring process matters, too. Slow decisions can cause employers to lose qualified candidates, while resumes and technical credentials alone may not reveal how someone solves problems, evaluates tradeoffs, or applies technical knowledge in a business context. A focused, timely process that evaluates both expertise and judgment can help leaders make better use of the talent available. 

Business context is becoming part of technical performance 

The expectations surrounding technical roles are also expanding. 

Strong technology professionals still need technical depth, but many organizations increasingly benefit from people who can understand why the work matters. They can communicate tradeoffs, ask thoughtful questions, collaborate with nontechnical stakeholders, and connect a technology decision to a business objective. 

Technology has changed considerably. Its purpose within an organization has not. It exists to help the business accomplish something. 

That makes business understanding a meaningful part of technical effectiveness. 

What Capabilities Should Employers Prioritize? 

There is no universal list of technology skills every company should hire for. Priorities depend on the systems being built, the problems being solved, and the capabilities already present within the organization. 

Software engineering, cloud, cybersecurity, data and data engineering, DevOps and platform engineering, solution architecture, and AI expertise can all be important. But creating an exhaustive technology checklist can unintentionally make a search less precise rather than more precise. 

Look for depth and breadth 

The concept of T-shaped talent is particularly useful in today’s technology environment. 

The vertical part of the T represents meaningful expertise in a particular discipline. The horizontal part represents enough breadth to understand adjacent technologies, collaborate across functions, and see how one decision affects a larger system. 

Both dimensions matter. 

Deep specialization without context can create silos. Breadth without sufficient depth can leave teams without the expertise required for complex technical decisions. 

The ideal balance varies by role. A solution architect may need considerably more breadth than a highly specialized engineer, for example. The goal is not to apply the same profile to every position. It is to understand what combination of depth and breadth the work requires. 

Evaluate how candidates think, not only what they know 

Technical knowledge is essential, but technology changes quickly enough that today’s checklist will rarely remain complete. 

Problem-solving, communication, curiosity, adaptability, and judgment help technical professionals continue creating value as tools evolve. 

This can change the questions leaders ask during hiring. Instead of focusing entirely on whether someone has used a specific platform, language, or framework, consider how that person approaches unfamiliar problems. 

Can they explain the reasoning behind a technical decision? Can they identify tradeoffs? Can they communicate risk? Can they distinguish between what is technically possible and what is useful for the business? 

Those conversations often reveal capabilities that a list of technologies cannot. 

How Is AI Changing Technology Hiring? 

AI is important enough that it should not simply become another item on a technical skills list. 

Companies increasingly need to think about AI talent in two distinct ways: people who specialize in creating and implementing AI capabilities, and technology professionals who use AI effectively within other disciplines. 

Some organizations need deep AI expertise 

Companies building AI products, developing advanced AI capabilities, creating supporting data infrastructure, or integrating AI deeply into business systems may require specialized expertise. 

Depending on the problem, that could include machine learning, AI architecture, data science, data engineering, software engineering, or a combination of disciplines. 

The important point is to begin with the use case. Hiring an “AI expert” without first understanding what the organization expects that person to accomplish can make an already specialized search unnecessarily difficult. 

Many more technology professionals need AI fluency 

AI fluency is a broader requirement. 

A software engineer does not necessarily need to become an AI specialist. Neither does a cybersecurity professional or cloud engineer. But professionals across technology increasingly benefit from knowing how AI can support their work, where it improves productivity, how to validate its output, and where relying on it introduces risk. 

That distinction is useful because it keeps organizations from treating AI expertise as a single capability. 

When evaluating AI fluency, practical experience and judgment may reveal more than familiarity with the newest tools. Ask candidates how they have used AI to solve a real problem, how they validated the result, and when they decided AI was not the right approach. 

The most valuable skill may ultimately be knowing not just how to use AI, but when and why to use it. 

Should Technology Expertise Always Be a Full-Time Hire? 

One of the most consequential technology workforce decisions happens before a candidate ever enters the process: deciding how the organization should access the capability it needs. 

A full-time employee is one answer. It is not the only one. 

Match the talent model to the business need 

Full-time hiring generally makes sense when a capability is central to the organization’s long-term strategy, requires significant institutional knowledge, or represents an ongoing operational or leadership responsibility. 

Contract-to-hire can be useful when a long-term need is likely, while giving both sides an opportunity to evaluate the role and working relationship before making a permanent commitment. 

Staff augmentation or contract talent can help when an existing team needs temporary capacity, specialized expertise, or additional support for a defined initiative. 

An external technology partner may make more sense when an organization needs specialized expertise, project capability, or technical guidance that it does not need to build and maintain permanently. 

These options should not be viewed simply as different price points. They solve different workforce problems. 

Duration, urgency, specialization, internal capacity, institutional knowledge, and the strategic importance of the capability all belong in the decision. 

In some cases, the strongest answer will be a blended model. A company might maintain strategic technical leadership internally while using specialized external talent for a modernization initiative, for example. 

The question is not, “Which hiring model is best?” It is, “Which model best fits this need?” 

What Should Leaders Clarify Before They Start Hiring? 

Clarity at the beginning of a technology search can improve nearly every decision that follows. 

Before opening a requisition or beginning a talent search, leadership teams can work through six questions: 

1. What business problem are we solving? Define the outcome before defining the role. Align business, technology, and talent leaders around that need before interviews begin so everyone is evaluating candidates against the same objective. 

2. What capabilities does that problem require? Focus on what someone must be able to accomplish, then consider how you will evaluate those capabilities. Scenario-based questions tied to actual business problems can help reveal how candidates approach decisions, constraints, and competing priorities. 

3. Which requirements are truly essential? Separate must-have expertise from skills that can reasonably be learned or supported by others. During interviews, ask candidates to explain how they have approached similar challenges, including the tradeoffs they considered and the outcomes of their decisions. 

4. How long will we need this capability? Determine whether the need is ongoing, transitional, or project-specific. That distinction can help clarify not only the appropriate talent model, but also how much institutional knowledge and long-term ownership the role requires. 

5. How should we access the talent? Consider full-time, contract-to-hire, staff augmentation, contract talent, or an external partner. For roles where AI is relevant, also define what level of AI capability the work actually requires and evaluate practical usage, validation, security awareness, and judgment accordingly. 

6. What will success look like? Define what should be different six or twelve months after the person or team begins the work. Turn those expectations into a consistent evaluation framework so interviewers know what they are assessing and candidates are not measured against shifting criteria. 

Once those questions are answered, keep the interview and approval process focused and timely. Decide who needs to participate, what each conversation should evaluate, and who has authority to move the candidate forward. A larger candidate pool does not make unnecessary interview stages or slow decisions less consequential. 

This process may sound simple, but it changes the hiring conversation in an important way. 

Instead of beginning with “Who should we hire?” leaders begin with “What are we trying to accomplish?” 

That clarity can lead to a more realistic job profile, a more focused search, and a workforce model better aligned with the business. 

Technology Hiring Is Becoming a Capability Decision 

Technology will continue to change. AI capabilities will mature, new specialties will emerge, and today’s most familiar tools will eventually give way to others. 

What organizations need from their technology talent is more enduring. 

They need people with enough expertise to solve difficult problems, enough curiosity to keep learning, enough judgment to make thoughtful decisions, and enough business understanding to know why those decisions matter. 

For hiring leaders, that makes the current market an opportunity to become more precise. Successful technology hiring does not begin with filling a familiar title. It begins with understanding the capability the organization needs, deciding how that capability should fit into the workforce, and then finding the right people to deliver it. 

At SOLTECH, we help organizations access technology talent in the way that best fits the work, including direct hire, contract-to-hire, staff augmentation, and specialized technical expertise. As the talent market evolves, having more ways to access the right capabilities can give leaders greater flexibility in building the teams their businesses need next. 

FAQs 

How can hiring leaders assess whether technology talent will adapt as tools change? 

Look for evidence of how candidates have learned and adapted in previous roles, not simply how many current technologies they can list. Ask about a time they had to learn an unfamiliar technology, adjust their approach, or solve a problem without an obvious answer. Curiosity, learning agility, and sound judgment can help indicate whether someone will continue creating value as the technology environment evolves. 

How should the strengths of an existing technology team influence the next hire? 

Consider what the team already does well before deciding what the next person needs to bring. Mapping existing strengths can reveal gaps in technical depth, leadership, business knowledge, or cross-functional capabilities that may be more valuable than adding another person with a similar profile. This approach also encourages leaders to think about the capabilities of the team collectively rather than expecting every individual hire to cover everything. 

How can business and technology leaders stay aligned during the hiring process? 

Agree on the purpose of the role and what success will look like before interviews begin, then use those expectations as a shared evaluation framework. Technology leaders can assess technical depth and problem-solving, while business and talent leaders can bring additional perspective on communication, collaboration, and organizational needs. Alignment early in the process helps prevent different interviewers from evaluating candidates against entirely different definitions of the role. 

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Veanne Smith

CEO & Co-Founder

Veanne Smith serves as the CEO and co-founder of SOLTECH – Atlanta’s premier software development, technology consulting and IT staffing firm.

Prior to founding SOLTECH, Veanne spent more than 10 years in the technology industry, where she leveraged her software development and project management skills to attain executive leadership responsibilities for a growing national technology consulting firm. She is passionate about building mutually beneficial long-term relationships, growing businesses, and helping people achieve their personal life goals via rewarding employment opportunities.

Outside of SOLTECH, Veanne is considered a thought leader in Atlanta’s IT community. Currently, she serves on the Advisory Board for The College of Computing and Software Engineering at Kennesaw State University. In addition, Veanne helped launch the AxIO Advisory Council, has been a member of Vistage for 20 years, and created Atlanta Business Impact Radio – a podcast that showcases some of Atlanta’s most innovative businesses and technology professionals.

As an influential figure in the technology and IT staffing industry, Veanne consistently produces insightful articles that address both the opportunities and challenges in IT staffing. Through her writing, she offers valuable tips and advice to businesses seeking to hire technical talent, as well as individuals searching for new opportunities.

She holds a degree in Computer Science from Illinois State University.