TLDR: A recent Deloitte survey indicates that smart manufacturing, heavily driven by AI, is becoming a critical factor for productivity and growth, with significant improvements in output and efficiency. Manufacturers are increasingly investing in AI and related technologies to overcome challenges like talent shortages and operational risks, transforming how products are made and attracting new talent.
Deloitte’s 2025 Smart Manufacturing and Operations Survey, based on insights from 600 executives at large U.S. manufacturing companies, reveals a profound shift towards smart manufacturing, with Artificial Intelligence (AI) at its core. The report, published on May 1, 2025, highlights that smart manufacturing is no longer an aspiration but an indispensable factor for productivity and enterprise growth.
Key Findings on AI Adoption and Impact:
The survey, conducted from August to September 2024, indicates that manufacturers are actively establishing AI foundations. Currently, 29% of respondents are utilizing AI/machine learning (AI/ML) at the facility or network level, while 24% have already deployed generative AI (GenAI) at the same scale. Furthermore, there’s significant investment in piloting these technologies, with 23% piloting AI/ML and 38% piloting GenAI. This moderate adoption signals an early but accelerating exploration of AI capabilities within the sector.
The impact of smart manufacturing initiatives, fueled by AI, is already tangible. Manufacturers reported an average net improvement of 10% to 20% in production output, 7% to 20% in employee productivity, and 10% to 15% in unlocked capacity since implementation. These operational benefits were cited as the primary value sought by 49% of respondents, with financial benefits following closely at 44%.
Strategic Investments and Future Outlook:
Confidence in smart manufacturing’s transformative power is widespread, with 92% of manufacturers believing it will be the main driver for competitiveness over the next three years—a 6-percentage-point increase from a similar Deloitte survey in 2019. An impressive 85% of respondents anticipate that their smart manufacturing initiatives will revolutionize production methods, enhance agility, and attract new talent to the industry.
Investments are heavily focused on foundational technologies. In the next 24 months, 40% of manufacturers plan to prioritize data analytics, 29% cloud computing, 29% AI, and 27% Industrial IoT (IIoT). Current adoption rates show 57% of manufacturers using cloud computing and data analytics, 46% leveraging IIoT solutions, and 42% utilizing 5G at the facility or network level. Process automation is a top investment priority for nearly half (46%) of respondents, followed by physical automation (37%), often seen as a response to skilled labor shortages.
Addressing Workforce and Risk Challenges:
Despite the technological advancements, manufacturers face significant human capital challenges. Over a third (35%) of respondents identified adapting workers to the ‘Factory of the Future’ as a top concern, including equipping them with necessary skills. The industry faces a projected need for 3.8 million net new employees by 2033, and smart manufacturing is seen as part of the solution, with 85% agreeing it will attract new talent.
Cybersecurity also remains a critical concern, with 65% of executives ranking operational risk as a primary issue related to smart manufacturing initiatives. Specific worries include unauthorized access (55%), intellectual property theft (47%), and operational disruption (46%). Manufacturers are dedicating an average of 15.74% of their IT budget to cybersecurity.
The Rise of AI Agents:
Beyond manufacturing-specific applications, Deloitte’s broader 2025 Predictions Report on Generative AI forecasts a significant rise in AI agents. It predicts that 25% of enterprises using GenAI will deploy AI agents in 2025, growing to 50% by 2027. These software solutions, designed for minimal human intervention, are expected to drive productivity for knowledge workers and enhance efficiency across various workflows. Gillian Crossan, Deloitte Global Technology Sector Leader, emphasized the need for tech companies to ‘enhance trust, reduce bias, and strive for more diverse GenAI workforces’ to ensure equitable and effective global product and service development.
Companies like Augmentir, with their ‘Augie’ Industrial Generative AI Suite, are already aligning with Deloitte’s vision, offering solutions to optimize operations, manage workforce needs, identify cost-saving opportunities, and drive strategic innovation. As Augmentir notes, ‘AI is the key to unlocking’ resilience, efficiency, and innovation in the manufacturing sector.
Also Read:
- Industrial Evolution: Key AI Trends Reshaping Enterprises in 2025
- Autonomous AI Systems: Ushering in a New Era of Efficiency and Navigating Emerging Risks
The ownership of smart manufacturing initiatives is predominantly with operations leaders (51%), followed by technology owners (38%), underscoring the collaborative effort required between IT and operations to navigate this complex transformation. The journey towards fully realized smart factories continues, with a clear focus on integrating technology, upskilling the workforce, and adapting processes to harness the full potential of AI-driven manufacturing.
