

India Inc says the biggest barriers to scaling artificial intelligence are no longer awareness or ambition, but infrastructure gaps, governance concerns, fragmented systems and pressure to deliver measurable outcomes. After years of excitement around generative AI, companies are now facing the reality that large scale deployment is far more complex than pilot projects.
Industry leaders say infrastructure limitations, latency issues, cybersecurity risks and fragmented networks are becoming major challenges. Many organisations are now treating AI as core operational infrastructure rather than an experimental technology, requiring consistent performance in real world conditions.
Experts from companies like Wipro, PeopleStrong and others highlight growing concerns around governance, explainability and human accountability. As AI systems become more autonomous, firms are stressing the need for human oversight, built-in safeguards and responsible deployment frameworks.
Leaders also point out that India’s long-term AI progress depends on deeper investments in semiconductors, data systems and regional innovation ecosystems. While AI adoption is expanding across HR, logistics, mobility and other sectors, companies say the focus is shifting from experimentation to execution, reliability and measurable business value.














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