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Technology
12 November 2024

India Takes Charge As Leader In AI Adoption

New report highlights India's AI adoption at 30%, surpassing global average of 26%

India is rapidly establishing itself as a leader in artificial intelligence (AI) adoption, with recent statistics indicating a notable 30% of Indian companies are leveraging this advanced technology to drive maximum value. This impressive figure, derived from research conducted by the Boston Consulting Group (BCG), eclipses the global average of 26%, illustrating India's proactive approach toward integrating AI across various sectors.

The BCG report titled "Where's the Value in AI?" is based on responses from over 1,000 Chief Experience Officers and senior executives across 20 different sectors worldwide, covering regions such as Asia, Europe, and North America. Notably, sectors like fintech, software development, and banking are at the forefront of this AI revolution, utilizing these innovative tools to increase operational efficiency.

This surge toward AI adoption doesn't just reflect advancements within tech-centric industries. The BCG highlights how traditional sectors are beginning to understand the potential of AI, with CEOs increasingly seeking substantial returns on their investments. Despite the promising direction, the report emphasizes the struggle many companies face: only 26% have established the capabilities necessary to transition from experimentations to effective value generation.

Addressing the challenges, Saibal Chakraborty, the India Leader for BCG's Technology and Digital Advantage Practice, pointed out, "India's swift adoption of AI is redefining its competitive edge globally...100% of companies are actively experimenting with AI, showcasing India's readiness to utilize this technology effectively." Chakraborty’s insights reflect not just the current state of AI integration but also the potential growth trajectories. He believes the Indian market is poised to not only lead in the adoption of AI but also to generate measurable value from it.

While it's encouraging to see such commitment to technology, the report does reveal some sobering statistics about global performance. The figures show only 4% of businesses worldwide are able to produce consistent value through AI. Just under 22% have implemented strategies to use AI effectively, leaving 74% of companies yet to realize tangible outcomes. This indicates room for improvement, not just for Indian businesses but also for their global counterparts.

Despite these hurdles, India's growing focus on AI offers bright prospects not only for the technology sector but also for the economy as a whole. The BCG emphasizes the broad-based maturity among Indian AI leaders, which spans both digital landscapes and traditional industries, signaling diverse avenues for advancement. Chakraborty expressed optimism about these developments, noting, "India is poised to lead not only in AI adoption but also to innovate beyond conventional tech-driven business models.”

Supporting this business outlook is the continuous investment from various fronts, including academic institutions and private sectors, pushing the boundaries of what's achievable with AI. Companies are pouring resources, hiring skilled talent, and testing pilots to capitalize on AI’s vast potential.

Adding to this narrative, U.S.-based industrial AI startup Avathon, formerly known as SparkCognition, is making strides by not just rebranding but also doubling down on its commitment to India. The company, which already has significant backing from influential investors such as Temasek Holdings and Boeing, announced plans to triple its workforce in India from approximately 140 to 400 employees within the next two years. Avathon aims to make India its largest R&D hub, showcasing confidence in the country's talent pool and innovative capabilities.

Pervinder Johar, the newly appointed CEO of Avathon, stated, "India is at the heart of Avathon’s roadmap, with AI projected to contribute over 50% of the Asia-Pacific region’s growth in traditional industries by 2028." This statement reflects the company's strategic vision of enhancing operational efficiency and developing AI solutions for legacy systems across sectors like aerospace, defense, and oil and gas.

Johar added, "We see India as pivotal for our expansion, serving as both engineering and research and development headquarters." This emphasis on India aligns with the broader trend of multinationals recognizing India’s vast market potential and the sophistication of its workforce, encouraging growth and innovation.

The flourishing environment for AI is not limited to startups like Avathon. Texas Instruments has also recently introduced new microcontroller units (MCUs) equipped with integrated edge AI technology. These innovations offer solutions for real-time control applications across automotive and industrial sectors, promising enhanced safety and efficiency.

Reflecting on engineers' current needs, Amichai Ron, Senior Vice President at Texas Instruments, highlighted the urgent demand for smarter, energy-efficient systems capable of making rapid decisions. He noted the introduction of the latest series of MCUs would empower engineers to tackle complex challenges more effectively, enhancing system reliability and operational sustainability.

India's leadership in AI adoption seems to be not just about numbers but also about vision and aspirations. With companies actively capitalizing on AI, there is great potential for groundbreaking innovations and economic growth. The significant interest and adaptation also symbolize how Indian businesses are increasingly seeing technology as not just a tool for efficiency but as a core component of future business strategies.

Overall, as reported by BCG and supported by developments from industry players, such as Avathon and Texas Instruments, the AI narrative coming out of India is one of optimism and forward-thinking strategy. With the baseline of 30% adoption, coupled with continuous investment and a workforce eager to innovate, India is clearly charting its course to lead the global stage in AI.

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