GlobalLogic research, conducted with HFS Research, reveals a critical misalignment in industrial enterprises: while C-suite leaders acknowledge AI, sustainability, and talent transformation as top priorities, a fundamental execution gap is halting innovation. The study of over 100 executives from billion-dollar industrial firms across automotive, aerospace, chemicals, energy, and construction shows that 51% attribute failed or underperforming AI initiatives to skills shortages, compounded by legacy systems, unclear governance frameworks, and lack of integration between short-term efficiency demands and long-term strategic vision.
The Ambition-Capability Gap
Industrial enterprises face a paradox: they recognise the urgency of AI and sustainability transitions, yet lack the talent, frameworks, and integrated strategies to execute them. Nearly half of surveyed executives (49%) identify integrating new technologies with legacy systems as their greatest barrier to deploying advanced digital solutions. This technical debt is not merely an IT problem—it blocks the architectural changes required for agentic AI, edge intelligence, and connected operating models.
Simultaneously, half of organisations lack structured upskilling programmes despite acknowledging that talent gaps are a primary barrier. This suggests a disconnect between strategic acknowledgement and operational investment, where boards prioritise efficiency over capability building.
The Deepening Talent Crisis
The research exposes a sector-wide perception problem. Fifty-eight percent of executives believe talent sees limited career mobility in manufacturing; 48% cite lack of innovation perception; and 46% acknowledge underpaying compared to other sectors. These factors are driving experienced workers to retire without adequate replacements, while new talent avoids the sector entirely.
The crisis is acute: 42% of industrial firms struggle to find digital and AI talent, a shortage that becomes more severe as onshoring accelerates in the United States, creating competing demand for scarce specialised skills. Without credible career narratives and competitive compensation, industrial enterprises will continue to lose talent to tech and finance sectors.
Priority Shifts: Today vs. Tomorrow
Current executive priorities favour operational cost reduction (46% cite this in their top three), reflecting immediate margin pressure. However, the report projects a significant pivot: within two years, AI adoption and operational optimisation will displace cost reduction as the top priority.
This creates a temporal trap: organisations optimising for near-term efficiency without building AI and sustainability capabilities will be structurally unprepared for 2027 and beyond. Those that simultaneously manage cost pressure while building transformational capability will emerge as industry leaders.
Legacy Systems as Strategic Constraint
Legacy system integration ranks as the single greatest technical barrier, cited by 49% of executives. These systems create technical debt that slows innovation, limits connectivity, and prevents the data integration required for agentic systems, digital twins, and predictive maintenance.
The report argues that organisations must modernise systems to enable new operating models, rather than patching legacy infrastructure. This requires viewing modernisation not as a cost centre but as a strategic capability enabler that unlocks new revenue models through servitization, condition-based maintenance, and connected product ecosystems.
Recommendations for Industrial Transformation
The report outlines four actionable priorities:
- Build integrated plans that link short-term efficiency with long-term strategy, ensuring every cost-reduction initiative supports rather than undermines future capabilities.
- Immediately invest in talent development and human-AI frameworks, with clear messaging that the sector is part of the sustainable, technology-driven future.
- Modernise systems to enable new operating models, moving beyond patch-and-sustain approaches to legacy infrastructure.
- Establish clear metrics and career pathways demonstrating commitment to innovation, addressing perception barriers that drive talent away.
For industrial enterprises, the bottom line is clear: executives will never escape pressure to balance operational demands with strategic transformation, but those who build structures to do both simultaneously will succeed.
