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Press Release - TCS study reveals Physical AI is now mainstream as manufacturers scale AI implementation
Tata Consultancy Services Ltd · 532540
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Tata Consultancy Services Ltd has released a study on physical AI adoption in manufacturing, revealing that 77% of manufacturers expect significant transformation in warehouse operations, and 75% in assembly and manufacturing operations.
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Tata Consultancy Services Ltd - 532540 - Press Release - TCS Study Reveals Physical AI Is Now Mainstream As Manufacturers Scale AI Implementation
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TCS/PR/SE/22/2026-27
July 22, 2026
National Stock Exchange of India Limited BSE Limited
Exchange Plaza, C-1, Block G, P. J. Towers,
Bandra Kurla Complex, Bandra (East) Dalal Street,
Mumbai - 400051 Mumbai - 400001
Symbol - TCS Scrip Code No. - 532540
Dear Sirs,
Sub: Press Release
We are sending herewith copy of the Press Release titled “TCS study reveals Physical AI
is now mainstream as manufacturers scale AI implementation” which will be
disseminated shortly.
The Press release is self-explanatory.
Thanking you,
Yours faithfully,
For Tata Consultancy Services Limited
Yashaswin Sheth
Company Secretary
ACS 15388
Encl: as above
9th Floor Nirmal Building Nariman Point Mumbai 400 021
Tel 91 22 6778 9595 Fax 91 22 6630 3672 e-mail corporate.office@tcs.com website www.tcs.com
Registered Office 9th Floor Nirmal Building Nariman Point Mumbai 400 021
Corporate Identity No. (CIN): L22210MH1995PLC084781
TCS study reveals Physical AI is now mainstream as
manufacturers scale AI implementation
77% expect significant transformation in warehouse operations, followed by assembly and
manufacturing operations at 75%
Manufacturers commit to long-term physical AI investment as enterprise-wide deployment ramps
FARNBOROUGH, UK | MUMBAI, July 22, 2026: Tata Consultancy Services (TCS) (BSE: 532540, NSE:
TCS), a global leader in IT services, consulting, and business solutions, today announced the findings
of the Future-Ready Manufacturing: TCS Physical AI Readiness Report 2026.
The report reveals that as manufacturers increase their AI investments, the focus is shifting from
standalone automation projects to larger physical AI ecosystems. It highlights that companies see
physical AI as a people-first transformation. Instead of replacing the workforce, manufacturers are
using intelligent systems to help employees work more safely, efficiently, and productively while
supporting workforce redeployment where needed in a Human + AI Operating model.
The report also highlights how enterprises are preparing to scale physical AI across factories,
warehouses, logistics networks, maintenance operations, and quality management environments.
It provides insights into the strategies, challenges, and opportunities involved in adopting physical
AI at scale. The study builds on TCS’ partnership with Google Cloud, following the March 2026 launch
of the TCS Physical AI Gemini Experience Center in Troy, Michigan. The center helps manufacturers
explore, test, and scale physical AI use cases for safety, quality, and operational efficiency with
intelligence at the core.
The study surveyed CXOs and vice presidents from 300 manufacturing companies across North
America and Europe between March and April 2026. Respondents represented sectors such as
automotive, electronics and high-tech manufacturing, industrial equipment and machinery, process
industries, and aerospace and defense.
Key findings from the study include:
• Manufacturers are committing to long-term investment: No surveyed organization plans to
reduce Physical AI investment, while 26% plan to increase spending. Manufacturers are
preparing for longer value-realization timelines, underscoring sustained transformation over
short-term pilots.
• High impact expected in warehouse operations: 77% anticipate significant or
transformational impact, followed by assembly and manufacturing operations at 75% and
logistics and material movement at 72%.
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• Human-centric transformation is taking shape: 42% of manufacturers expect significant
workforce augmentation through Physical AI by improving safety and supporting workers in
complex, hazardous, or repetitive industrial environments.
• Early-stage adoption, clear roadmap to scale: 68% of manufacturers remain in non-
deployment or experimental stages, with legacy system integration, data infrastructure, and
workforce skills identified as the primary paths to enterprise-scale deployment.
• Governance is the next frontier: 44% report unclear or no formal accountability structure
for Physical AI failures, and 40% are unprepared for emerging regulatory requirements,
signaling where manufacturers should focus as deployment accelerates.
Anupam Singhal, President, Manufacturing, TCS, said, “Physical AI is taking intelligence beyond the
screen and onto the shop floor, where machines sense, adapt and act in real time. The manufacturers
that scale it successfully will define the next era of manufacturing. TCS’ ‘infrastructure to intelligence’
approach positions them to lead that transformation. With all the manufacturers in our study
planning to either maintain or increase the investment, the direction is clear: towards more resilient,
adaptive, and future-ready manufacturing enterprises.”
Kevin Ichhpurani, President, Global Partner Ecosystem, Google Cloud, said, “Physical AI is moving
manufacturing from digital insight to autonomous real-world action. Through our partnership with
TCS, we are bringing Gemini’s multimodal reasoning to the factory floor, enabling robots and
systems to operate safely and intelligently in complex industrial environments.”
TCS is helping global manufacturers move from pilots to enterprise-scale physical AI adoption by
bridging the gap between digital ambition and physical deployment. This is enabled through the TCS
Physical AI Gemini Experience Center, in Troy, Michigan. Similarly, the TCS Physical AI Blueprint
offers an end-to-end framework that integrates AI-powered quadruped and humanoid robotics with
advanced sensing, edge intelligence, and secure cloud orchestration to deliver real-time operational
insight and autonomous decision support.
These capabilities, combined with TCS’ deep manufacturing domain expertise, help enterprises
build scalable, governed, and future-ready Physical AI ecosystems.
About Tata Consultancy Services Ltd (TCS)
Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-
leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards
of innovation, engineering excellence and customer service.
It has set an aspiration to become the world's largest AI-led technology services company and is
enabling its clients to transform themselves across the full AI stack, from infrastructure to
intelligence.
Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients,
its investors, its employees, and the community at large. With a highly skilled workforce spread
across 56 countries and 194 service delivery centers across the world, the company has been
recognized as a top employer in six continents. With the ability to rapidly apply and scale new
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technologies, the company has built long term partnerships with its clients. Many of these
relationships have endured into decades and navigated every technology cycle, from mainframes in
the 1970s to artificial intelligence today.
TCS sponsors 14 of the world’s most prestigious marathons and endurance events, including the TCS
New York City Marathon, TCS London Marathon, Tata Mumbai Marathon, and TCS Sydney Marathon
with a focus on promoting health, sustainability, and community empowerment.
TCS generated consolidated revenues of over US $30 billion in the fiscal year ended March 31, 2026.
For more information, visit www.tcs.com
Follow TCS on LinkedIn | Instagram | YouTube | X
TCS media contacts:
Corporate Communications E mail: corporate.communications@tcs.com
India
Email: santosh.castelino@tcs.com| Phone: +91 22 6778 9999
Email: rhea.mistry@tcs.com
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