AI, Sustainability, and Talent Integration Unlock Significant Growth for Industrial
GlobalLogic Inc., a Hitachi Group Company and leader in
digital engineering, today released a new report, in partnership with HFS Research,
that highlights insights into how industrial enterprises are managing AI
adoption, sustainability transitions, and workforce transformation. The
research reveals that despite executive ambitions, 51% of organizations cite
skills gaps as the primary reason AI and advanced technology initiatives fail
or underperform.
The research, which surveyed more than 100 C-level
and senior executives from $1 billion+ industrial firms across automotive,
aerospace, chemicals, energy and utilities, and construction, highlights a
clear challenge: while leaders acknowledge the urgency of AI, sustainability,
and talent transformations, a fundamental misalignment between present
priorities and future expectations is halting innovation.
“We undertook this research to understand why
industrial leaders see AI, sustainability, and talent as top priorities yet
struggle to turn them into measurable results,” said Srini Shankar, President
and CEO at GlobalLogic. “We found many are trying to deploy advanced
technologies without the talent, the clear AI governance frameworks, and
without transition plans that link today’s efficiency pressures to tomorrow’s
strategic goals. As onshoring accelerates in the United States, leaders face
rising domestic demand but scarce and costly specialized talent.
At GlobalLogic, we’re moving beyond experimentation
to deliver AI-driven industrial ecosystems that create measurable value today.
By combining our deep heritage in embedded systems, Edge AI, IT-OT convergence,
OT cybersecurity, Industrial IoT, and next-generation connectivity, such as
5G/6G, GlobalLogic delivers the core capabilities industrial clients need to
advance their Physical AI journeys. When combined with Hitachi’s proven OT and
product excellence, we are empowering organizations to modernize faster,
operate smarter, and accelerate their transformation across sustainability,
productivity, and talent. Together with our industrial clients, we are
advancing next-generation capabilities in servitization, digital twins,
industrial automation, predictive maintenance, and frontline worker
productivity and safety—helping them unlock new revenue models while driving
meaningful gains in operational efficiency and performance.”
Key Findings from the Report:
The study reveals that industrial enterprises are trapped
between ambition and capability, lacking the talent, frameworks, and
integration strategies to execute on generational transitions:
· Upskilling Becomes the New
Imperative: While
51% of companies say skills gaps hinder AI and advanced technology initiatives,
half lack structured upskilling programs, and 42% struggle to find digital and
AI talent. As seasoned workers retire and fewer new candidates enter
traditional roles, industrial leaders are turning to agentic AI and
sustainability-driven innovation to bridge the divide.
· Legacy Systems Create Technical Debt & Block Progress: Legacy systems create technical debt and are a clear sign of limited
readiness to support the new, ‘intelligent,’ connected operating models
required for technologies like agentic AI. Nearly half (49%) identify
integrating new technologies with legacy systems as their greatest barrier to
deploying advanced digital technologies.
· Priorities Shift to AI: Nearly half (46%) of executives
currently prioritize reducing operational costs in their top three priorities,
but research shows that in 2 years, AI adoption and operational optimization
will take top spot in priorities.
· Industry Seen as Career
Dead-End: 58%
believe talent sees limited career mobility in the manufacturing sector, 48%
cite lack of innovation perception, and 46% acknowledge underpaying compared to
other sectors—fueling a deepening talent crisis.
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