
Cyber threats are rising, is your business prepared?
A sharp increase in cyberattacks is putting organizations across industries on high alert. In a recent Computer Weekly article, Jason Pyle, Managing Director of Harvey Nash USA & Canada, highlights new data from the 2025 Harvey Nash/Nash Squared Digital Leadership Report that shows 29% of global tech leaders experienced a major cyberattack in the past two years, up from 23% in 2023 and the highest level since 2019. This rise comes amid a growing and evolving threat landscape, with organized cybercrime, state-sponsored activity, and insider risks all becoming more prominent. Attacks are also becoming more sophisticated, leveraging tools like AI-driven phishing and deepfake impersonation, making detection and prevention more complex than ever. In the article, Jason outlines several ways organisations need to rethink their approach in response to the rise in cybercrime - from strengthening internal cyber capabilities to outsourcing specialized support for areas such as threat detection and incident response. He also addresses the growing talent shortages in cybersecurity, highlighting alternative hiring models that can help bridge the gap efficiently. Cybersecurity is no longer a back-office concern, it’s a business-critical issue. 👉 Read the full article on Computer Weekly
Artificial Intelligence and Agriculture: How Technology is Addressing a Growing Labor Shortage
Brett McMickell, CTO of Kubota, joins David Sage on a new episode of Tech Talks to explore purpose-driven technology that addresses the labor shortage crisis in agriculture. This young workforce siphoning itself towards urban careers makes this labor shortage worse, leaving dwindling numbers rurally. Traditional mechanization can’t solve this growing crisis since large investments aren’t practical for struggling farmers, and skilled operators are still needed to run heavy equipment. This is where Kubota’s purpose-driven solutions come into play, harnessing machine learning, IoT, and artificial intelligence. Harvey Nash can supply qualified IT talent suited for ag tech jobs to bring these innovative solutions to life, blending artificial intelligence and agriculture seamlessly. Global food security and farm sustainability are at a critical juncture today, with a labor shortage putting the agriculture industry at a unique crossroads. From the earliest civilizations, humankind has taught itself to tend the soil and coax nourishment from nature. But now, fewer workers are available to plant, leaving farmers scrambling to meet productivity needs. This immense pressure has been the catalyst for innovative, newer ways to integrate technology—and more specifically, artificial intelligence—into agriculture and farming practices. In a recent episode of Tech Talks, David Sage welcomes the CTO of Kubota, Brett McMickell, to share how Kubota is reimagining solutions through automation-based solutions. It’s crucial to understand their transformative approach to the labor crisis and the pivotal role of ag tech jobs as we navigate the future of technology-driven agriculture. A Growing Labor Shortage in Agriculture Agriculture is an industry that’s already plagued by tight deadlines, unpredictable weather conditions, and fluctuating market demands. Add to this mix a rapidly shrinking workforce, and it’s a whole new problem. But this labor gap is more than just a short-term inconvenience for farmers. Young workers are becoming a rare sight on farms, with the average age of farmers rising as the youth head towards the metaphorical neon glow of urban careers. To compound losses, the manufacturing and service industries claim what little of the rural population remains. While reliable labor is scant, the larger battle of maintaining efficiency can only be won through the integration of artificial intelligence and agriculture. Moving Past Traditional Mechanization While larger tractors and harvesters were a step forward for traditional agricultural societies, this isn’t a realistic solution for farmers who can’t make significant investments. At the end of the day, even a tractor needs a skilled operator. It’s not enough to simply scale up our existing tools, and Kubota recognized this. This is why they created smarter solutions that reduce our dependency on human labor by leveraging advanced technologies like machine learning, the Internet of Things (IoT), and artificial intelligence for agriculture. Purpose-Built Technology: The Kubota Revolution Kubota’s approach to technology solutions works because they avoid “bolting on” technology as an afterthought. Brett McMickell emphasizes how Kubota designs purpose-built solutions that are uniquely tailored to challenges in the sector. It starts with a deep understanding of farmers’ needs and how ag tech jobs can fill that gap. Only then can a successful blend of agriculture and artificial intelligence create effective technology that aligns with the end user’s reality. Kubota’s Autonomous Tractors: Reducing Human Oversight Use soil data to adjust planting patterns Optimize fuel efficiency Sensors and machine-learning algorithms make real-time decisions AI-Powered Crop Monitoring Analyze data from drones and IoT devices Deliver actionable insights on irrigation and fertilization schedules Innovations like these address the labor shortage by automating repetitive tasks. But they also enhance precision, which can have a lower environmental impact and improve yields. Something as rudimentary as spraying chemicals efficiently, when handed off to AI and precision tools, has resulted in a 20-40% reduction of chemical use. The Critical Role of IT Expertise If Kubota’s mission for transforming agriculture is the doorway to a successful integration of agriculture and artificial intelligence, then IT expertise is the keystone holding it all together. A diverse set of tech talent is essential to run any innovative program successfully. Think of this as a Swiss knife of IT specialists, where everyone, from data scientists and software engineers to cybersecurity experts, has a role to play. Recruiting IT Talent—Harvey Nash Can Help Harvey Nash plays a critical role in connecting companies like Kubota to tech talent. We understand the growing need for IT professionals specializing in artificial intelligence and agriculture. But understanding constraints is equally valuable; limited connectivity in rural areas and the need for weather-resistant hardware are just the tip of the iceberg. We can support the industry’s shift towards smarter and sustainable practices by fostering a pipeline of skilled technologists for ag tech jobs who can marry artificial intelligence and agriculture. As McMickell succinctly puts it, “People need to eat”, and AgriTech can feed our future. Get Started
Is the Hybrid Workplace Model Working for Technology Jobs?
Hybrid work is a flexible solution to maximize productivity and balance home life with work. But is it the most effective work model for tech talent? Insights from the Digital Leadership Report hint at many advantages, albeit not without some challenges. The hybrid model offers flexibility, reduces commute times, and can boost productivity for developers who get to work without distractions. Tech companies with hybrid models also hire more women and can reach beyond major tech hubs to access a bigger talent pool, remotely. But working hybridly can also create a work-life imbalance and affect chances of promotions. Tech professionals might struggle with mental wellness and be unable to collaborate effectively over remote networking tools. How tech companies address these challenges will affect the adoption of the hybrid setup across technology jobs in the future. The hybrid workplace model has been hailed as the future of work, blending remote and in-office setups to create a unique solution, particularly in the tech industry. It promises flexibility, work-life balance, and access to global talent unfettered by time and space constraints—what’s not to love? On the surface, hybrid work seems to check all the boxes, and this has tech companies embracing it left, right, and center. But is it really that effective for tech professionals? We draw on insights from our Digital Leadership Report to examine the realities of a hybrid workplace in the tech sector and break down the benefits and challenges that come with adopting the hybrid model for tech jobs. Hybrid Workplace Models: Structured Freedom The promise of hybrid models lies in the flexibility they offer. Although six in ten companies mandate at least one day in the office, this simply creates a modicum of structure and gives tech professionals the chance to collaborate in person while still retaining the autonomy to work remotely for the most part. Benefits of Hybrid Models for Technology Jobs No distractions: For tech professionals, working remotely means the freedom and space to code, design, and debug without distractions, in an environment of their choosing. Eliminating commutes: A hybrid workplace model allows developers and engineers to avoid long commutes and channel their energy into more productive workflows at home, in a coworking space, or at their favorite coffee shop. Improved diversity: According to the Digital Leadership Report, remote work has enhanced diversity for organizations. Those that limit office time to a few days a week showed 27% more female hires than other companies with typical 5-day mandates. Bigger talent pools: Hybrid models mean that companies aren’t limited by geographical bounds. This lets them tap into talent pools beyond major tech hubs, easily filling roles and getting past skill shortages. Find Hybrid and Remote Tech Jobs Challenges of Hybrid Workplace Models Despite its rosy benefits, the hybrid model comes with its fair share of pitfalls. Reduced collaboration: Collaboration is the cornerstone of innovation, but even more so in technology jobs. Hybrid setups may cause asynchronous communication among developers, causing delays or ineffectively communicated expectations. Lack of cross-functional dialogue: The spontaneous flavor of brainstorming in person can’t fully be replicated over video calls and chat tools. Mental wellness challenges: Hybrid models can cause a dip in team collaboration and inclusivity with mental wellness challenges, as highlighted in the Nash Squared report. Leadership inequity: Many companies are worried that in-office workers might be given preference for promotions simply because they’re more visible to leadership. This makes it essential to develop thorough employee recognition strategies. Burnout: Working through tools like Zoom and Teams might lead to “always-on” expectations, which blur the lines between work and home for tech workers. The Future of Hybrid Workplace Models in Tech The success of a hybrid setup for technology jobs depends on how tech companies handle the challenges of this model. A few prerequisites can make this a sustainable model: Investing in robust collaboration tools Clear protocols for communication Equitable career advancement opportunities Investment in employee wellness and mental health programmes Mandates driven by employee needs rather than policy Sadly, many tech companies lack this kind of strategic approach to hybrid work models, as revealed by the Nash Squared & Harvey Nash Digital Leadership Report. The hybrid workplace model is far from a one-size-fits-all setup, and it needs to be adapted and optimized to serve your organization and its people. Support the growth of your business
Tech Recruitment Branding 101
Competitive tech hiring markets are redefining hiring processes Candidates are evaluating company culture, employee recognition, and growth potential Recruitment branding effectively showcases these elements to prospective hires Communicate employee value propositions and inspire candidates to stay with trust, patience, and a clear path for growth. With the competitiveness of the tech hiring landscape, simply putting out a job description isn’t enough anymore for companies to successfully recruit talented tech employees. Top candidates want to know what your brand stands for, how you treat your employees, and how much they can grow. Tech recruitment branding helps convey this information and attract candidates who can grow your business. Successfully Showcasing Company Culture When planning your tech employer branding strategy, highlight relatable and visible elements of your company culture. Harness Social Media Use official social media handles to showcase behind-the-scenes snippets from team meetings, company retreats, coffee breaks, coding jams, and more. Employee Success Stories Employee recognition and success stories show that you care about growth and convey genuine investment in employee advancement. Letting your current team members share their own stories also lends authenticity to your tech recruitment branding. Transparency Be transparent about your leadership style, challenges, and company values. Sharing authentic voices is more effective than overly polished marketing. Employee Value Proposition (EVP) Defining and communicating your EVP will help candidates understand what makes working at your company uniquely rewarding. Attracting talented tech hires means clarifying what you can offer beyond a lucrative salary. Your EVP could highlight features that speak to the aspirations of tech talent. Here are some features to consider communicating through your branding for tech recruitment. Growth opportunities Flexible work setups Work-life balance Wellness and mental health support Diversity and inclusion Tech stack and innovation exposure Consistently share this communication across your brand’s careers page, through job descriptions, during interviews, and on employer review platforms to reach a wide audience. Building a Strong Tech Employer Brand To take your employer branding up a notch, build long-term brand appeal with these strategies: Engage With Developer Communities Define a presence for your brand in online communities like GitHub, Stack Overflow, and Reddit where developers are likely to come across your company and engage. Host Events or Sponsor Them From tech talks to meetups and workshops, you can either host or sponsor them. This builds a positive image of your brand, associating it with forward-looking ideas and stimulating events. Accessible Website Page Make sure your website is being used wisely, with a demarcated “Work With Us” page that offers clear testimonials and visuals. Smooth Candidate Experience Even if you don’t end up hiring someone, simply ensuring that they’ve had a smooth and respectful experience goes a long way towards reinforcing your tech recruitment branding. It’s important to remember that a strong tech employer brand isn’t just about the perks—and when done right, it doesn’t just attract talent—it inspires them to stay. Build a strong employer brand to attract top tech talent today. The technology workforce consultants at Harvey Nash can help. Get Started
The Future of AI in Application Development: What IT Employers and IT Professionals Need to Know
AI coding tools have reshaped the tech industry. Developers are leveraging AI tools for enhanced productivity, smoother workflow, and accelerated development cycles. This has led to a shift in the in-demand skills among developers, with a focus on problem solving and ethical use. Tech talent can stay ahead of the curve by treating AI as a partner and not a threat. This means upskilling, joining AI developer communities, and actively showcasing their work. Employers need to encourage AI collaboration and train employees. Gone are the days when artificial intelligence was just a fictitious entity in high-action thriller movies or an obscure fixture of the future in sci-fi flicks. Today, AI has permeated nearly every strata of our lives and is reshaping our interactions with not just the internet, but softwares as well. This has left tech developers scrambling to leverage AI capabilities to gain an edge. Here’s everything you need to know about the application of AI in assisted software development and how it’s reshaping the tech market for IT professionals and tech leaders who are striving to get their workforce AI-ready. How AI Tools Are Transforming Coding Practices With AI tools like Claude and Copilot revolutionizing workflows, it’s led AI to become a collaborator in application development. While this has directly accelerated development cycles for businesses and software engineers, there are a few key ways these tools are changing key practices. Code Autocompletion & Generation Developers are relying on AI tools for assistance in writing boilerplate code, functions, and even entire modules, redefining the limits of AI assisted software development. Bug Detection & Optimization Since AI can review code, it’s often harnessed to suggest fixes and optimize performance of programs (like SonarQube AI plugins or DeepCode). Collaboration & Documentation Developers are using tools like ChatGPT to produce clear documentation or break down complex code logic in simpler terms. Natural Language to Code New developers can now even describe what they want their program to do in plain English, while AI tools turn these instructions into functional code. These transformations in application development using AI have meant lower barriers for new developers and a significant reduction in repetitive tasks. But over-reliance on these tools is a major concern due to the inconsistency of code quality. It’s crucial not to take AI-generated solutions at face value without human oversight. In-Demand Skills in an AI-Enhanced Development World This involvement of AI in application development has caused a shift in the demand for skills. AI-Augmented Programming Rather than fearing AI, developers need to learn how to work with it and harness it for better software development. Problem Solving When routine tasks are handed off to AI tools, humans are left free to think about logic, design thinking, and architecture. Basic Knowledge of AI/ML Concepts Even non-AI developers are required to understand the basics of how AI tools work. Ethical AI Use Tech talent is expected to exercise responsible use of AI tools. Fairness, security, and accountability are major concerns when using AI-generated code. How Tech Talent Can Prepare Curiosity is Rewarding Keep experimenting with different tools to code small projects or troubleshoot bugs. Continuous Upskilling As tools and tech hiring trends evolve, so should IT professionals. Take micro-courses on AI in software and application development. Portfolio Building If you’ve worked on projects with AI assisted software development, showcase your experience through a digital portfolio. Get Active in the Community Joining AI developer communities is a great way to learn from your peers and keep abreast of industry trends. How Employers Can Leverage AI to Stay Competitive This new era of collaborative coding means tech employers need to adapt to stay competitive. Streamlining Development Cycles: By adopting AI coding assistants, product delivery can be accelerated. Reskilling Teams: Bolster tech talent with internal training on AI in application development. Rethink Hiring Criteria: Work with a direct hire staffing agency to recruit candidates with AI literacy, critical thinking, and adaptability. Integration of AI into DevOps: Use AI for CI/CD optimization, predictive analytics, and automated testing. Encouragement of AI-Enhanced Collaboration: Create a space where developers can rely on AI for better communication of ideas, documentation, and cleaner code. The future of AI in application development is efficient, smart, and collaborative. And harnessing this potential of AI is crucial for developers hoping to stay ahead of the curve. Trust Harvey Nash for industry expertise and candidate sourcing. Get Tech Insights
Big Data and Recruitment: The Future Landscape
Big data drives key decisions across industries. Talent shortage exists in critical big data skills. IT recruitment agencies streamline big data talent acquisition. Outsourcing big data staffing maximizes benefits. In the era of digital transformation, one of the most valuable assets a business can harness is data. From optimizing supply chains to predicting consumer behavior, data-driven insights are reshaping entire industries worldwide. At the heart of this revolution lies big data—a series of vast and complex datasets that can only be interpreted and utilized effectively with specialized skill sets. As companies scramble to stay ahead in a data-centric world, the demand for big data specialists is soaring. Read on to unpack the nuances of outsourcing big data staffing in this shifting landscape. Why Big Data Matters Big data is the foundation of informed decision-making. With the right analysis tools and recruitment of big data specialists through agencies, businesses can uncover trends, forecast market changes, and personalize customer experiences like never before. The importance of big data spans multiple sectors. Retail From predicting purchasing patterns to efficiently managing inventory, retailers use data in myriads of ways. Big data helps retailers optimize pricing strategies and improve supply chain efficiency. This also allows them to enhance customer engagement through personalized marketing based on data patterns. Healthcare A focus on big data, and dedicated recruitment through agencies has helped healthcare providers enhance patient care through predictive analytics and devise tailored treatments. Strategic data analytics are also crucial in identifying disease outbreaks and improving diagnostic accuracy. Finance Financial institutions have begun relying on big data for credit scoring, algorithmic trading, and detection of fraud. Identifying and assessing risks is also possible with real-time data analysis. Technology Tech companies can use data to refine product features, improve user experiences, and manage cybersecurity threats. Data also helps drive innovation by analyzing system performance. Agencies with expertise in recruiting big data professionals are the key to hiring the right talent for your business. Through big data staffing, you can unlock the ability to harness big data effectively, leading to smarter business strategies, greater efficiency, and more innovative solutions. Find IT Talent The Talent Shortage in Big Data Despite the clear importance of big data and high recruitment demands for skilled professionals—data scientists with expertise in big data tools and methodologies are in short supply. The skills gap includes: Business Acumen Data specialists must effectively communicate their findings to stakeholders and align their insights with business goals. This requires an understanding of how data translates to actionable business strategies. Technical Proficiency Data professionals must also be well-versed in tools such as Tableau and Power BI that make data visualization more comprehensive. This also involves a mastery of programming languages like Python, R, and SQL. Tool Expertise Honing a familiarity with Hadoop, Spark, and other cloud-based data platforms is sought after in big data recruitment and training drives. There’s an increased demand for proficiency in cloud services like AWS, Google Cloud, and Azure as well. Analytical Thinking Possessing a strong grasp of statistical methods, data modeling, and machine learning is also considered essential. Recruitment agencies seeking big data professionals prioritize the ability of data strategists to derive meaningful insights from large and complex datasets. This skills gap poses a significant challenge for companies looking to build data-driven teams, making strategic recruitment more important than ever. Discover Exceptional Tech Talent Big Data Staffing Through Specialized Recruitment Agencies There is no denying the competitive landscape surrounding recruitment and the importance of big data specialists in tech roles. Working with recruitment agencies for big data hiring offers several benefits: Access to a Wider Talent PoolBig data staffing specialization offers access to established networks of qualified data analysts working with big data and a recruitment pool of pre-vetted candidates ready for placement. Industry ExpertiseIT recruiters have insight into the evolving tech job market. They understand candidate expectations and the nuances of big data roles. Streamlined Hiring ProcessesAgencies make the recruitment process efficient by managing initial screenings, technical assessments, and interview coordination. Faster TurnaroundWorking with an agency reduces time-to-hire without compromising on quality and ensures speedy placements that minimize disruptions in data-driven projects. Working with specialized recruitment agencies for big data roles not only saves businesses time but also ensures companies gain access to highly qualified professionals who can drive their data initiatives forward. Get Started
The Role of Employer Branding in IT Talent Acquisition
In today’s highly competitive job market, attracting top-tier tech talent requires more than just offering a competitive salary or an impressive list of benefits. While candidates have always worked hard to craft a strong personal brand, companies must now do the same. Skilled IT professionals have choices, and they want to work for organizations that align with their values, aspirations, and career goals. This is where employer branding plays a pivotal role in recruitment for IT jobs, allowing your business to attract specialized tech talent in alignment with your company values and goals What is Employer Branding? Your employer brand is an amalgamation of your reputation and perception as an employer. It encompasses everything from leadership style and workplace culture, to growth opportunities and work-life balance. Essentially, it answers the question: Why should IT professionals want to work here? A strong employer brand showcases the company as a desirable place to work. Harvey Nash helps leverage employer brands, making it easier for companies to attract and retain top talent in the IT industry, where demand for skilled professionals often exceeds supply. Importance of Employer Branding During Recruitment for IT Jobs Attract Top IT Talent A high demand for IT professionals comes with the luxury of choosing from multiple job offers. Establishing a well-defined employer brand helps your business stand out from the rest, making it more appealing to top candidates. Companies with a strong reputation for innovation, inclusivity, and employee development naturally draw greater interest from high-caliber professionals. Reduce Time-to-Hire A positive employer brand creates a pipeline of engaged candidates who are already interested in working for the company. When job openings arise, engaged candidates are likely to apply quickly, reducing the time and effort expended to fill positions. Enhancing Employee Retention IT professionals seek out workplaces where employee recognition is prioritized, and where they feel valued, challenged, and supported. When a company’s employer branding aligns with the actual employee experience, it fosters loyalty and reduces turnover, ultimately reducing costs associated with frequent hiring and training exercises. Strengthening Workplace Culture Employer branding isn’t just about attracting talent with an updated resume—it’s about creating an environment where employees want to stay and grow. A company known for fostering innovation, collaboration, and continuous learning will naturally build a culture that retains and empowers its workforce. Improving Candidate Experience Poor recruitment processes can damage a company’s reputation among prospective candidates. Strong employer branding includes a positive and transparent hiring experience, ensuring that even unsuccessful candidates leave with a good impression. Leverage Your Employer Brand With Harvey Nash Here are a few ways we help you leverage your employer brand to boost company recognition during recruitment for IT jobs. Showcasing Company CultureHighlighting team dynamics, career development programs, and employee success stories on social media and career pages goes a long way in showcasing company culture. Investing in Employee ExperienceYour company’s support for professional growth and work-life balance, and an inclusive workplace can be showcased. Engage in Thought LeadershipWe help you participate in industry events, publish blogs, and contribute to open-source projects to establish credibility. Optimize the Hiring ProcessOur team ensures clear descriptions for jobs, efficient communication with employees, and respectful candidate interactions. Begin your employer branding journey with Harvey Nash to boost recruitment and attract top tech talent. Support The Growth Of Your Business
Technology and Sustainability: The AI Energy Crisis
There's no denying that AI has quickly become an unstoppable force driving innovation, from analyzing big data to creating art and curating playlists, to maybe one day making our morning coffee. But there’s a less glamorous side to the AI tech revolution that’s become a growing concern we can’t ignore: its massive energy appetite. It is this energy crisis that is explored in the film "Data's Untold Story: The AI Energy Crisis" from Tech Flix. As AI capabilities and data centers grow, the demand for computational power is skyrocketing at the cost of our environment. While we race toward an AI-powered future, the AI energy crisis raises one urgent question: can we balance technological advancements in artificial intelligence and sustainability, or are we coding our way into an ecological disaster? Data Hoarding and Its Implications You’ve heard of single-use plastic. The same principle applies to single-use data—a very real, and very dangerous digital commodity that’s become a crucial cause of the widening chasm between technology and sustainability. Single-use data is the cause of massive amounts of AI power usage and emissions. Moreover, storing this data comes at an even higher cost for the environment. This has spurred a growing need for data to be managed rather than accumulated, with sustainability and artificial intelligence going hand-in-hand. The Role of Data Centers In contrast to traditional cloud storage mechanisms, AI-driven data infrastructure is more energy-intensive with greater demands for power. This raises concerns about sustainability and advancements in technology which have become parallel lines competing to place first. The higher energy consumption combined with the massive emissions caused by data hoarding makes data centers a big contributor to the ongoing energy crisis. The Tech Flix film “Data's Untold Story: The AI Energy Crisis" addresses this phenomenon of increased AI power usage, urging leaders to take responsibility for redressing these globally pertinent problems rather than focusing on innovation alone. The Next Move: Policymakers and Tech Leaders Balancing progress in technology and fostering sustainability is a mission that now falls to digital and tech leaders of the world. The film highlights the need to shift from mere promises to actionable strategies with real-world implementation. Simply setting bold goals is not enough without clear plans for how to get there. Rather than setting distant objectives, it’s important for leadership to follow measurable strategies, starting now. Sustainable Tech for The Future As we increasingly rely on AI for human tasks, the balance between sustainability and technology is being scrutinized more closely than ever. Customers and companies are prioritizing the adoption of green policies with the formation of actionable plans for sustainability are turning into prerequisites. Tech leaders must recognize that working toward carbon-neutral AI is crucial. There’s also a pressing need for regulations on energy usage and an assessment of environmental impact in any future AI development. Exploring Artificial Intelligence and Sustainability The journey towards greener AI invokes questions of balance between technology and sustainability. Through the development of more efficient algorithms requiring less computational energy and AI power usage, a shift can be made towards more sustainable practices. Tech leaders can also explore shifting to renewable energy sources for data centers while encouraging innovations like model compression and distillation to reduce energy usage overall. Doubtless, this film by Tech Flix raises important questions about sustainability in tech and AI with a bearing on the future of our environment. Get Tech News & Insights
Tech Hiring Trends for 2025
The landscape of tech hiring is evolving faster than ever, shaped by advancements in AI, shifting workforce priorities and demands, as well as an increasingly global talent pool informed by flexible working models. As talent and companies navigate these shifting hiring trends in technology in 2025, the criteria for recruitment has shifted past the parameter of skills alone. While adaptability and innovation are sought-after qualities in top-tier talent, recruiters must also cultivate strategic hiring practices. Here’s what to expect in tech hiring this year based on the 2024 Tech Talent & Salary Report in collaboration with LinkedIn. This report on IT jobs offers dynamic data, revealing some interesting information about tech hiring trends to look out for. 7 Trends in Tech Hiring to Look Out for in 2025 1. All Paths Lead to Tech Gone are the days when the path into tech was a narrow one, going strictly from point A to B. Now, these routes into IT are more diverse, with several ways to embark on a career in tech beyond starting with a field-specific degree. In fact, tech hiring trends show that 47% of technology hires did not pursue a traditional route or a tech degree.4 in every 10 have transitioned into tech from an alternate career. This bodes well for those aspiring for a career in technology, as hiring trends indicate greater opportunities, regardless of having a tech-related academic background. 2. Evolving Expectations of Tech Talent As roles and expectations shift, so do demands from employers. Records show that tech talent is now looking for higher paying jobs with better healthcare benefits, flexibility, and a positive workplace culture with empathetic leadership. Career progression is another factor that’s being prioritized as workers search for IT jobs that meet their needs. 3. Flexible Working Models As tech hiring trends evolve, more and more tech companies are embracing hybrid work models that offer flexible schedules to workers. Although data indicates an increase in workload reported by 86% of technologists, 80% of respondents felt that their organizations are attentive to employee well-being, both physically and mentally. 4. Globally In-Demand Tech Jobs Rising cyber threats have created a growing demand for specialists to navigate cybersecurity priorities. There has also been a surge of investment towards internal cybersecurity training and talent development in tech companies. Knowing which IT jobs are in demand globally is valuable information for those looking to switch fields as technologists or explore new in-demand areas of work. 5. Rise of Contract and Gig Work One of the trends in tech hiring is how businesses are now leveraging freelance tech talent for most specialized projects. This has resulted in the growth of contract-based hiring, especially in software development and AI/ML roles. 6. AI & Effective Automation The majority of the workforce has lowered its guard toward AI and machine learning, accepting the possibilities of the huge opportunities it offers in the world of technology. However, the primary challenge now lies in harnessing the necessary resources for an effective implementation of AI strategies. Image as a Hiring Priority To stay ahead of competitors, companies must showcase strong employer branding. It’s not just about telling good stories, but actually offering enhanced candidate experiences – from the application processes to onboarding – to attract top-tier talent. Why Staying Ahead of Tech Hiring Trends Matters Hiring trends in technology are a constantly shifting aspect of the industry. However, both recruiters and professionals will find that understanding the latest tech hiring trends isn’t only useful—it’s essential in order to maintain a competitive edge in 2025’s fast-paced job market. For Recruiters: The demand for top tech professionals continues to outpace supply from existing talent pools, making it crucial to adopt innovative hiring strategies. This means leveraging AI-driven recruitment, focusing on skills over degrees, and enhancing employer branding to attract and retain the right candidates in a competitive landscape. For Tech Professionals: Staying informed about hiring trends is critical to be aware of how work models are evolving, and which skills and qualities employers are prioritizing in candidates. Whether it’s upskilling in cybersecurity, embracing flexible work structures, or leveraging contract-based opportunities, being proactive about these shifts can lead to more career opportunities. Decoding the trends that inform tech hiring will certainly help recruiters and tech talent navigate the evolving job market with confidence and clarity. Get Ahead with Harvey Nash Harvey Nash offers decades of experience helping organizations find, recruit, and manage talent in the technology and digital sectors. As a global professional consulting firm specializing in technology recruitment, we keep on top of the changing needs of employers and employees to achieve the best outcomes for our clients. Contact us today to share your hiring needs. Contact Us
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