As part of the annual VMblog video predictions series, five technology
leaders share their strategic visions for 2025, offering
unique insights on various technologies and verticals.
In episode 1, we
hear from these experts:
Ambassador‘s Director of Technology, Matt Voget, presents an optimistic
view of AI’s role in development workflows. Rather than replacing
engineers, Voget predicts AI will enhance existing development tools,
citing his work on Blackbird, an AI-powered OpenAPI spec generator, as
an example. He forecasts increased market competition among LLMs,
leading to more affordable pricing and greater integration of AI
features in both proprietary and open-source tools.
Andela‘s VP of Product and Engineering, Courtney Machi, delivers a
compelling prediction about the future of work. She anticipates a
significant expansion of the fractional workforce, particularly in
C-level and management positions. This trend, accelerated by the
pandemic and enhanced by AI productivity tools, will see companies
adapting to accommodate workers managing multiple roles simultaneously.
Machi also introduces the intriguing concept of AI co-pilots becoming
part of this fractional workforce ecosystem.
Crowdbotics‘ VP of Research and Innovation, Cory Hymel, outlines four
key predictions for AI in software development:
- AI emerging as a “first draft engineer” to accelerate project
initiation - Generative AI maturing into enterprise-grade solutions with improved
security and governance - The rise of agenic workflows combining multiple AI models for complex
tasks - A shift toward smaller, more efficient AI models optimized for edge
deployment and cost-effectiveness
Graphiant‘s CPO Ali Shaikh focuses on network infrastructure evolution,
highlighting three critical areas:
- The transformation of network infrastructure to support AI-driven
data movement and business-to-business transfers - Implementation of multicloud network solutions meeting data
sovereignty requirements - The adoption of post-quantum encryption capabilities to protect
critical data assets and AI training data
RackN‘s CEO and Co-Founder, Rob Hirschfeld, concludes with insights on
IT disruption in 2025, emphasizing two major shifts:
- The strategic implementation of LLM and AI models
- A transition from traditional virtualization to bare metal
Kubernetes, positioning it as the optimal VMware migration path for
improved AI integration
This collection of predictions from industry leaders provides a
comprehensive look at how AI, workforce dynamics, and infrastructure
will reshape technology in 2025.
