The demand for tech talent, such as Software Engineers and Architects, AI Professionals, Cybersecurity Specialists, DevOps, Cloud Architects and Software Developers, is increasing rapidly, but the supply of qualified talent is not keeping pace.
In 2025, this gap is forcing companies to rethink their technology hiring strategies to remain competitive. Some figures highlight the urgency: according to the Manpower 2025 Report, 74% of employers struggle to find qualified tech talent, impacting innovation timelines and increasing competition for talent. It is estimated that this could have a significant effect on the economy and a company's ability to stay ahead in the frenetic technology industry.
While the demand for talent is high, so are the opportunities to attract and recruit qualified candidates. As AI transforms the tech workforce, companies that hone their hiring strategies using AI-powered search tools and skills-based approaches will be able to gain a competitive advantage. In high-growth sectors like automation, quantum computing, and Web3, hiring the right people can make the difference between leading the market or falling behind.
In this article, we want to share what we believe are the current key strategies to find and hire the best technological talent of the moment, regardless of the industry to which your company belongs.
Go for it!

7 strategies to find tech talent in the era of Artificial Intelligence
To find technological talent in 2025 it is important to consider several key elements. For example, today you should focus on AI-powered talent acquisition platforms, build a strong employer brand, prioritize diversity, equity and inclusion (DEI), and offer flexible work arrangements along with competitive salary packages.
Although each market has its particular characteristics, these are the strategies that we consider most important today:
1. Take advantage of AI-powered talent acquisition
- Screening and assessments with AI: Uses AI to identify and evaluate candidates based on their skills and experience, going beyond simple keyword matching.
- Personalized employment recommendations: AI can suggest roles aligned with candidates' skills and career goals.
- Platforms with AI: Explore tools that automate and optimize the hiring process.
2. Build a strong employer brand
- Highlight attractive reasons to join: Emphasize your company's culture, values, and growth opportunities.
- Focus on professional development: Shows opportunities for internal growth and continuous learning.
- Treat candidates like valued customers: Offers a positive and engaging experience in the selection process.
3. Prioritize diversity, equity and inclusion (DEI)
- Inclusive language: Use neutral and welcoming language in job descriptions.
- Encourage diversity in candidates: Actively seeks talent from underrepresented groups.
- DEI Practices: Integrate DEI strategies into your hiring process.
4. Offers flexible work arrangements and competitive compensation
- Remote or hybrid work: Provides remote or hybrid work options, as they are highly valued by technology professionals.
- Competitive salaries: Ensure salary packages are competitive with market rates.
- Additional benefits: Beyond salary, highlights opportunities for growth, professional development and work-life balance.
If you need help with the process of finding IT talent, at Orienteed, we connect companies with the right tech talent to drive innovation and growth in your business. I want to know more.
5. Connect with the tech community
- Attend industry events: Participate in online technology forums and industry events.
- Sponsor events and hackathons: Show your company's knowledge and values.
- Network with influencers: Connect with opinion leaders and influencers in the technology field.
- Share knowledge and experience: Publish blogs and content on social networks to strengthen your company's presence.
6. Use various platforms and channels
- LinkedIn Recruiter: Take advantage of LinkedIn's advanced search features and AI tools.
- TikTok Ads: Reaches younger generations and early-stage tech professionals.
- Perplexity: Explore using platforms like Perplexity for search ads.
- Referral programs: Optimize and automate employee referral programs.
7. Focus on skills-based hiring
- Skills Assessments: Implement tests to measure candidates' capabilities beyond the resume.
- Retraining and updating of skills: Invest in training programs to fill skills gaps.
- Continuous learning: Encourages constant development to keep employees motivated and up to date with the latest trends.
Some ethical considerations for using AI when searching for and hiring tech talent
While there are multiple benefits to using AI, its use in recruiting tech talent also raises ethical concerns related to bias, transparency, data privacy, and accountability, requiring careful consideration and mitigation strategies to ensure equity and inclusion.
These are the aspects that we suggest you consider:
1. Algorithmic Bias
Problem:
AI systems are trained on data, and if that data reflects existing biases (for example, in hiring practices or social norms), AI can perpetuate or even amplify those biases, leading to unfair outcomes for certain groups of people.
Example:
An AI could favor candidates with certain educational backgrounds or work experience, unintentionally excluding qualified candidates from underrepresented groups.
Mitigation:
Works actively to identify and reduce biases in AI systems by using diverse and representative data sets, regular audits of algorithms, and incorporating human oversight into the decision-making process.
2. Transparency and Explainability
Problem:
Many AI algorithms operate as “black boxes,” making it difficult to understand how they make decisions. This can erode trust and make it difficult to identify and correct potential biases.
Mitigation:
It is ideal for organizations to prioritize developing AI systems that are explainable and transparent, allowing candidates to understand the factors that influence hiring decisions.
3. Data Privacy
Problem:
AI-based recruiting tools often require access to personal data, such as resumes, social media profiles, and other online activities, raising concerns about data privacy and security.
Mitigation:
Companies and organizations must be transparent about the data they collect, how it is used and how long it is retained, and obtain informed consent from candidates about the use of their information. Robust cybersecurity measures to protect sensitive candidate data are also essential.
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4. Responsibility
Problem:
When AI makes decisions, it can be difficult to determine who is responsible, especially if those decisions have negative consequences for candidates.
Mitigation:
It is necessary to establish clear lines of responsibility in AI-driven decisions, ensuring human oversight and intervention in case of potential problems.
5. Human Connection and Equity
Problem:
Overuse of AI can make the hiring process more impersonal, making candidates feel like they are interacting with a machine rather than a person.
Mitigation:
It is necessary to strive to maintain human contact in the hiring process, ensuring candidates feel heard and valued. Balancing AI with human judgment is key to ensuring a fair and inclusive selection process.
Now it's your turn.
As we are seeing in the market, the search for technological talent in the age of AI is a challenge that requires innovative strategies and an approach focused on fairness, transparency and efficiency.
Adopting AI-powered tools, building an attractive employer brand, and promoting diversity and inclusion are key to attracting the best professionals. However, it is essential to balance the use of AI with a human touch, ensuring fair and personalized hiring processes.
At Orienteed, we connect companies with the ideal IT talent to drive innovation and growth. If you are looking for specialists in software, AI, cybersecurity or cloud computing, our IT Talent Solutions service helps you find the right profiles in an agile and effective way. Contact us today and discover how to transform your team with the best technological talent.
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Digital Marketing Manager at Orienteed.
I lead the planning and execution of Orienteed's digital marketing strategy with a fantastic team, making sure it aligns with our strategic goals and drives business growth. I'm really into inbound marketing, web design, and creating content that matters.
I wrote the book: "How to Create a Profitable Blog Today."
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