Reports
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INTRODUCTION
Based on insights from 250 C-level semiconductor executives. The findings indicate that most semiconductor organizations have yet to achieve enterprise-scale AI integration, with deployments concentrated in specific use cases or pilot programs. Leadership misalignment at the execution level, together with integration challenges across EDA toolchains, manufacturing execution systems, skills gaps, and IP-sensitive environments, is constraining enterprise-wide AI scale. Our experience with semiconductor clients at HTEC reflects these findings. Organizations are actively applying AI to accelerate R&D, improve yield, enable digital twins, and differentiate through software and architecture. The next hurdle is converting these targeted wins into sustained, enterprise-level performance improvements.
PREVIOUS PIECES
Point of View
Firsthand perspectives on leadership, strategy, and the decisions shaping what comes next — straight from our executive leadership.
Enterprise Software – Existential Risk & Opportunity
HTEC’s Chief Strategy Officer, Lawrence Whittle, reflects on the evolution of enterprise software—from on-premise client-server systems to SaaS and AI-driven innovation. As challenges in legacy delivery models and valuations emerge, engineering excellence, fast SDLC cycles, and an IP-aligned approach, combined with deep experience in ML and AI, are what can make or break the next generation of enterprise and SaaS solutions.

Lawrence Whittle
Chief Strategy
Officer
From Conviction to Compounding Value
HTEC’s Chief AI Transformation Officer, Ronny Fehling, argues that private equity often struggles not for ideas but for turning conviction into production-grade AI value that moves EBITDA and compounds over the hold period. True value emerges only when initiatives survive execution reality, reach production, and continuously deliver—beyond pilots or demos. With disciplined economic lenses and outcome-focused decisioning, AI becomes an enduring driver of value rather than just noise.

Ronny Fehling
Chief AI Transformation
Officer
The Risk of Ignoring Workforce AI Literacy
HTEC’s Chief Marketing Officer, Alex Rumble, argues that organizations risk falling behind when workforce AI literacy is treated as optional rather than foundational. The real challenge isn’t access to AI tools, but building the capabilities and cultural alignment required to translate experimentation into measurable business impact. True value emerges when employees at every level understand how to apply AI responsibly and effectively in their roles. With structured upskilling and leadership commitment, AI becomes a scalable advantage—not isolated innovation or stalled potential.

Alex Rumble
Chief Marketing
Officer
Unlocking AI ROI: 4 Ways to Shift From Pilots to Enterprise-wide Value Creation
HTEC’s Chief AI Officer, Tim Sears, shares a pragmatic view on how enterprises can move beyond AI experimentation to measurable business value. The focus shifts from pilots to outcomes—aligning AI initiatives with clear ROI, organizational readiness, and business priorities. When AI is treated as a strategic capability rather than a standalone technology effort, it becomes a scalable driver of enterprise-wide impact.

Tim Sears
Chief AI
Officer
From Storefronts to Agentic Shopping: Will AI Redefine Online Shopping?
HTEC’s expert Joe Serrano shares his point of view on how agentic AI is redefining online shopping—from discovery to checkout—inside conversational interfaces. As AI agents become the new front door to commerce, success will depend on how well retailers adapt their data, visibility, and experiences for an AI-first buying journey.

Joe Serrano
Senior Retail
Consultant
Events
From insight to shared perspective.
Some conversations are better experienced together.
Events bring people, ideas, and disciplines into the same room, physically or digitally, to explore what’s next in real time. This is where analysis turns into dialogue.



Digital Twin Technology in Healthcare & Life Sciences: Why Precision Can’t Wait – A Pragmatic Roadmap to Adoption
AI has reshaped industries at an unprecedented pace, yet adoption of Digital Twin technology in healthcare, life sciences, and medical devices remains slow and fragmented. Why, in an era of precision medicine and data abundance, are so few organizations realizing their full potential?
ON DEMAND – Duration: 59 mins

Alfred Olivares
Global Managing
Partner – HLS, HTEC

Dr. Nemanja Kovacev
Head of Healthcare &
Life Sciences Practice, HTEC

Sava Marinkovich
AI Senior Principal, HLS, HTEC
ON DEMAND SESSIONS
AI and future for telecommunication
Duration: 50 mins
AI Adoption in Enterprise: Critical success factors
Duration: 32 mins
Duration: 50 mins
White papers
Depth over noise
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