The leaders also foresee challenges in scaling AI while maintaining quality and compliance, managing rapid innovation ahead of regulatory guidance, ensuring smooth collaboration between human workers and AI agents, addressing AI-enhanced system attacks, fully embracing DevSecOps, updating the software user experience, and orchestrating safe, ethical enterprise-scale generative AI. The tech leaders are preparing for these challenges by investing in upskilling, adopting new technologies, implementing robust governance protocols, and fostering a culture of innovation.
Key takeaways:
- Tech leaders are preparing for challenges in 2025, with a focus on the optimal and ethical use of artificial intelligence (AI).
- Driving engineering productivity, ensuring the safety and reliability of AI systems, and dealing with funding challenges are among the specific challenges expected to be tackled.
- Other challenges include leveraging AI for compliance and reporting, building flexible architectures, turning AI into a revenue engine, and protecting an ever-expanding attack surface.
- Leaders will also need to balance rapid innovation with legacy systems management, integrate advanced AI with a containerized infrastructure, and manage transformation across departments.