4 Deloitte Predictions for TMT & What They Mean for HR

As the tech, media, and telecommunications (TMT) industry accelerates toward a future shaped by generative AI, cloud computing, and digital transformation, Deloitte predicts that 2025 will be a “gap year” in which critical divides must be bridged for the sector to fully realize its potential. While much of the focus is on technological advancements, talent acquisition and HR leaders in TMT will play a crucial role in closing these gaps.

From AI-driven hiring processes to managing the talent impact of cloud cost optimization, let’s break down how these trends will reshape workforce planning and strategy, skills development, and talent acquisition in the year ahead.

1. Generative AI Will Transform, But Talent Must Catch Up

Deloitte highlights multiple gaps related to generative AI (Gen AI)—from infrastructure investments and monetization to trust concerns and the rise of AI-powered agents. But one of the biggest challenges facing the TMT workforce is the AI skills gap.

HR & Hiring Implications:

  • Upskilling & Reskilling Programs: As AI automates more processes, companies must invest in training employees to work alongside AI, rather than be replaced by it. Demand for AI literacy, machine learning expertise, and prompt engineering will rise.
  • AI-Driven Recruitment: Organizations that integrate responsible AI-powered tools to automate hiring processes and analyze data will be better positioned to tailor strategies, identify high-potential talent, reduce bias, and improve efficiency. In fact, companies using AI in recruitment save up to 30% in hiring costs.
  • The Gen AI Gender Gap: Deloitte points out that women are still underrepresented in AI adoption, which means TMT companies will need to proactively address gender disparities in training and hiring.

2. Cloud Spending and Workforce Optimization

One of Deloitte’s key predictions is the cloud spending gap—where organizations are struggling to control decentralized and rising cloud costs. Many companies are turning to FinOps strategies to optimize cloud expenses and streamline operations.

HR & Hiring Implications:

  • Lean, Cross-Functional Cloud Teams: As businesses implement FinOps, they will need more cloud cost management specialists, cloud engineers, and financial analysts who understand both cloud infrastructure and financial impact.
  • Remote & Distributed Hiring: Cloud spending shifts may push organizations to further embrace remote-first hiring strategies, tapping into global talent pools to optimize costs. However, they also need to ensure those new remote hires have the right set up and connectivity to get the job done.
  • Restructuring of IT Roles: Expect to see consolidation of IT and cloud-related roles as companies look to streamline costs and centralize decision-making around cloud investments.

3. The Deepfake Trust Gap & Cybersecurity Hiring Boom

As AI-generated deepfakes become more convincing, Deloitte warns of a growing trust gap—with potential disruptions in media, telecommunications, and enterprise security. This raises major challenges for HR, as organizations will need stronger cybersecurity teams to mitigate risks.

HR & Hiring Implications:

  • Stronger Verification in Hiring Processes: The rise of deepfakes means HR teams will need more rigorous identity verification and fraud detection in hiring, including AI-powered screening tools and in-depth personality assessments.
  • Surge in Demand for Cybersecurity Talent: While there’s already a severe talent shortage in the cybersecurity realm, demand for AI security specialists, ethical hackers, and fraud detection analysts will continue to grow to combat AI-generated threats. Companies need a competitive value prop for prospective employees and to take steps to actively reduce turnover.

New Roles Focused on AI Trust & Ethics: Companies will increasingly hire for AI governance, compliance, and digital ethics to ensure responsible AI use. Testing all prospective hires on cybersecurity literacy via tools like situational judgment tests (SJTs) will also be critical.

4. The Telecom Talent Crunch & Industry Consolidation

Deloitte predicts faster telecom consolidation, especially in wireless markets where smaller operators face mounting financial pressure. This will have major implications for workforce restructuring.

HR & Hiring Implications:

  • Workforce Optimization & Reskilling: Consolidation will lead to job shifts and reassignments, requiring upskilling or reskilling programs for legacy telecom workers.
  • M&A Talent Strategy: As telcos merge, HR teams must manage large-scale workforce integration and retain top talent amidst restructuring.
  • Hiring for 5G & Open RAN Expertise: With the push for 5G standalone networks and Open RAN adoption, telcos will need specialized network engineers and telecom software developers.

Deloitte’s 2025 TMT predictions highlight a pivotal year for technology, media, and telecom hiring. AI, cloud optimization, cybersecurity, and telecom consolidation will all require strategic workforce planning and smarter hiring practices.

As AI transforms the workforce, TMT companies that invest in data-driven hiring strategies will gain a decisive edge—not just in filling roles but in shaping the future of the industry.

Want to optimize your TMT hiring strategy? See how Harver’s AI-driven talent solutions help leading tech, media, and telecom companies hire smarter, faster, and more efficiently.

Learn More.

Picture of Melissa Barkley
Melissa Barkley
Updated on:
February 18, 2025

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