CXO / IT Leadership

Enterprises Face Hurdles in Adoption of AI-Powered Computing

IT Leaders Express Uncertainty on AI Adoption Timelines
Enterprises Face Hurdles in Adoption of AI-Powered Computing
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The computing landscape, comprising PCs and mobile devices, is undergoing a profound transformation driven by the rise of generative AI. As organizations increasingly recognize AI's potential to maximize productivity, streamline operations, and enable strategic decision-making processes, major players in the PC industry are diligently constructing ecosystems and reinforcing supply chains around AI-powered PCs.

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To ensure IT leaders have the best computing platform as they implement AI solutions, industry giants, such as Lenovo, HP Inc., and Dell Technologies, and key chip suppliers, including Intel, AMD and Qualcomm, are leading the charge in creating AI-powered computing in tandem with tech titan Microsoft. This concerted effort underscores a collective acknowledgment across industries of AI's transformative potential.

At a recent Tech Summit in New Delhi, India, Lenovo emphasized its focus on developing solutions with AI capabilities across its product portfolio - from the cloud to the edge to endpoints - while working in close collaboration with open industry-standard software.

Shailendra Katyal, managing director of Lenovo India, explored the pivotal role of AI in shaping the future trajectory of computing devices. He noted a palpable anticipation among CIOs for the integration of AI into their IT infrastructure, leading to a delay in traditional asset refresh cycles.

This anticipatory sentiment resonates with market projections, as Gartner forecasts a staggering 54.5 million AI PCs to be shipped globally in 2024, more than double the 24 million units shipped in 2023. This trajectory is expected to ascend further, with AI PC shipments projected to surpass 116 million units by 2025, representing a substantial portion of total PC shipments.

Luca Rossi, senior vice president and president of the Intelligent Devices Group at Lenovo, said he envisioned a future where AI and computing converge seamlessly. This convergence not only redefines memory storage and form factors but also extends to user interaction, ushering in natural language interfaces and personalized computing experiences.

The advent of neural processing units has accelerated the demand for AI-enabled devices. These AI devices promise enhanced performance, reduced latency, and heightened productivity while fortifying security and privacy measures for users. Consequently, AI-powered PCs are primed to catalyze a wave of replacements in the years ahead, offering users personalized experiences and innovative solutions.

Challenges Ahead for CIOs

While AI presents opportunities for organizations to become more productive, efficient and secure, IT leaders express uncertainty about their AI adoption timelines due to a lack of implementation road maps, overall readiness of their existing hardware and technology stack, and concerns regarding ethical governance and bias mitigation.

Rucha Nanavati, CIO of Mahindra & Mahindra, underscored the importance of aligning AI initiatives with ethical principles and regulatory frameworks to mitigate potential risks associated with AI-led decision-making.

Jaspreet Bindra, founder of Tech Whisperer Limited, highlighted the complexity of developing unbiased AI models and stressed the need for robust governance mechanisms to ensure responsible AI deployment.

LLMs for Democratizing AI

Although utilizing AI may pose challenges, innovative approaches are emerging to simplify the process. "We are working with AI to solve problems - such as reducing customer churn or getting better value for marketing - that companies have been trying to solve for 25 years," said Ravi Jain, head of strategy at Krutrim, India's first AI language model unicorn. "Most of the use cases that we see coming forward are, in fact, something that have already been done. We're just saying 'do it better, faster and cheaper.'"

Like Krutrim, several India-bound AI startups, including Sarvam AI, SocketLabs and, are actively engaged in developing language models with a focus on Indian languages, further diversifying the AI landscape and catering to a broader user base.

Vendors and consultancies remain bullish about the prospects for generative AI in the enterprise. "Excitement about generative AI remains high, and transformative impacts are expected in the next three years," said Harnath Babu, CIO, KPMG India.

While shipments of hardware-enabled AI PCs are expected to escalate rapidly over the next few years, IDC foresees next-generation AI PCs dominating the market by 2027, with shipments doubling that of hardware-enabled counterparts. This trend is expected to be driven largely by commercial buyers, although consumers stand to benefit from advancements in PC gaming and digital content creation. Enterprise device buyers will require compelling reasons to invest, while software providers must harness the potential of on-device AI to showcase its tangible benefits including the cost of these devices and security that will need to be addressed in the future.

The integration of AI into organizational frameworks will become paramount for IT decision-makers as they are becoming increasingly concerned about the compatibility of their current PC fleets with the compute-intensive workloads of AI.

About the Author

Sandhya Michu

Sandhya Michu

Senior Assistant Editor - Editorial, ISMG

Michu is an experienced professional with over 10 years of expertise in the ICT industry. She has worked with leading media groups such as Cybermedia, 9.9 media and The Indian Express. Michu's focus areas include enterprise technology and government tech initiatives.

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