The tech, media, and telecommunications (TMT) industry is on the brink of an AI revolution. As we discussed in our recent blog, “4 Deloitte Predictions for TMT & What They Mean for HR,” the rise of AI is creating both new opportunities and major workforce challenges.
Deloitte forecasts that while much of the focus remains on infrastructure, monetization, and ethical concerns, one of the biggest hurdles is the widening AI skills gap. Companies are rapidly integrating AI-powered tools, yet the workforce isn’t keeping pace. Ironically, at the same time, AI-generated resumes are making traditional hiring methods, particularly reliance on resumes, increasingly ineffective.
The reality is clear: AI is both the cause and solution to these hiring challenges.
Want to review all of Deloitte’s 2025 TMT predictions? Read our original blog post.
1. The Gen AI Resume
As Harver’s recent 2025 HR Trends Webinar predicted, AI-generated resumes are flooding the job market, making it nearly impossible for recruiters to distinguish between genuine qualifications and AI-fabricated credentials.
Resumes, once the foundation of hiring, are now a liability—they no longer reliably reflect a candidate’s actual skills or experience. If AI can generate the “perfect” resume for every applicant, how can hiring managers be sure they’re selecting the right person for the job?
To future-proof hiring in TMT, HR leaders must pivot away from traditional resume-based hiring and adopt science-backed talent assessment strategies that evaluate real-world skills, cognitive abilities, and adaptability.
2. The Need for Predictive Assessments in TMT
To circumvent dependency on resumes and close the AI skills gap, TMT organizations must integrate predictive assessments—science-backed evaluations that measure real-world skills, problem-solving abilities, and behavioral traits.
Unlike resumes, which can be easily manipulated with AI, predictive assessments provide a reliable, objective measure of a candidate’s abilities. These assessments solve critical hiring challenges in TMT including:
Addressing the AI Skills Gap
TMT roles require critical thinking, adaptability, and AI literacy—skills that are difficult to gauge from a resume alone. Predictive assessments evaluate:
- A candidate’s ability to learn and apply new technologies.
- Problem-solving and decision-making skills in AI-driven environments.
- Their capacity to work alongside AI rather than be replaced by it.
Reducing Hiring Bias & Improving Diversity
Deloitte’s report also highlights the AI gender gap in TMT, with women significantly underrepresented in AI adoption. Predictive assessments help close this gap by:
- Removing bias from hiring decisions.
- Focusing on skills and potential, not just experience or education.
- Identifying candidates with the right competencies—regardless of their background.
Identifying High-Potential Talent More Accurately
The fast-moving nature of TMT means that past experience doesn’t always predict future success. Predictive assessments provide:
- A data-driven approach to identifying candidates with the right skills.
- Insights into behavioral traits like creativity and collaboration.
- A stronger indicator of future job performance than resumes or interviews.
The Future of TMT Hiring: Automation + Human Insights
Traditional hiring processes often force companies to choose between speed and quality—but for TMT, both are essential. Delays in screening and matching candidates mean lost opportunities for top AI talent.
Smart Job Navigator bridges this gap by assessing candidates and directing them to roles they’re best qualified for—all through one seamless flow. Reduce bottlenecks without sacrificing accuracy using AI-driven intelligent automation and Harver’s predictive assessments, enabling smarter, faster decision-making at every stage of the hiring process.
By integrating Smart Job Navigator, TMT organizations can reduce time-to-hire, improve candidate quality, and eliminate inefficiencies in the hiring process.
Discover how Harver’s Smart Job Navigator can transform your hiring process.
AI Will Shape the Future of Work—Who Will Lead It?
As Deloitte’s report makes clear, TMT companies that fail to adapt their hiring strategies risk being left behind. AI will continue to reshape how we work, and who gets hired to lead the future.
Organizations that embrace predictive assessments and matching today will be the ones shaping the next generation of AI-powered workforces.
