Tata Consultancy Services (TCS) posted significant findings from its latest report on Wednesday, shedding light on the widespread adoption of artificial intelligence (AI) among senior business leaders.
The 'TCS AI for Business Study' offers insights into AI adoption trends, revealing a shift towards leveraging AI for innovation and revenue generation.

The report finds that a whopping 86% of senior business executives have already incorporated AI into their operations, using it to improve current revenue streams or create new ones.
Moreover, a strategic focus on capitalising on AI's revolutionary potential is indicated by the fact that 69% of organisations prioritise AI deployment to spur innovation and boost revenue.
"When calibrated for accuracy and harnessed responsibly, GenAI makes the computational power of the data, cloud, and AI come alive. Add in human ingenuity, and organisations can create a new paradigm for the modern marketplace, Sivaraman Ganesan, Head, AI Cloud Business Unit, TCS, said in the report.
The positivity surrounding AI's impact is palpable among executives, with 57% expressing excitement or optimism about its potential benefits for businesses. Moreover, a significant portion of respondents (65%) believe that AI will augment human capabilities, allowing individuals to concentrate on higher-value tasks requiring creativity and strategic thinking.
"2023 was a year of exuberance, with every enterprise experimenting with AI/GenAI use cases. We are now entering an era of wide-and-deep enterprise AI adoption. Enterprises, however, are realising that the path to production for AI solutions is not easy and that building an AI-mature enterprise is a marathon, not a sprint," Dr. Harrick Vin, Chief Technology Officer, TCS, said.
Though AI is gaining a lot of attention, obstacles still stand in the way of achieving its revolutionary potential. Merely 4% of enterprises have attained revolutionary results via artificial intelligence, and almost a quarter (24%) are still in the investigation stage. A few major obstacles to success are the constraints of business IT infrastructures as they exist today, changing customer expectations, and a lack of appropriate measures for accurately gauging AI's influence.
"Our AI study has confirmed this sentiment; it has also highlighted that enterprises feel underprepared to deploy AI solutions at scale as well as to manage the profound shifts in the roles of people and ways of working resulting from such deployments." Harrick Vin added.
TCS, a trailblazer in integrating cloud computing and AI capabilities, established the AI.Cloud unit to cater to the evolving needs of its customers. The unit drives TCS' multi-layered AI architecture, facilitating strategic AI deployment and governance across various industries and geographies.
Key Highlights from the TCS AI:
1. AI's Impact Comparable to the Internet and Smartphones: A significant proportion of executives (54%) believe that the impact of AI will either surpass or be equal to that of the internet, while an even larger percentage (59%) see AI's impact on par with smartphones, indicating the transformative potential of AI technologies.
2. AI Projects Across Corporate Functions: Finance/Comptroller, HR, and Marketing emerge as the corporate functions with the most completed AI projects, with completion rates ranging from 28% to 29%, highlighting the broad applicability of AI across various business domains.
3. Human Competitive Advantage Augmented by AI: Despite AI's increasing role in business operations, 65% of senior executives emphasise that the competitive advantage will still primarily come from humans. AI's augment and assist capabilities are seen as unlocking human creativity, intuition, and strategic thinking, reinforcing the symbiotic relationship between humans and AI.
4. Business Changes for AI Integration: A notable 40% of executives acknowledge the need for substantial changes to their business models and operations before fully leveraging the potential of AI, underscoring the ongoing transformational journey businesses must undertake to integrate AI effectively.
5. Active Business Adaptation to AI: Over half (55%) of executives are currently making changes to their business or operating models, products, and services, driven by the potential benefits and risks associated with AI adoption, highlighting the proactive stance of businesses in responding to the AI revolution.
6. Call for Global AI Standards and Regulations: A striking 81% of executives emphasise the necessity for global AI standards and regulations, reflecting growing awareness of the importance of ethical AI deployment and governance to ensure responsible AI adoption and mitigate potential risks.
7. Enthusiastic AI Adoption Across Regions: Across various regions, executives exhibit high levels of enthusiasm for AI adoption, with 93% of executives in the United Kingdom and Ireland and equally high percentages in North America, APAC, Continental Europe, and Latin America, indicating a global consensus on the significance of AI in driving revenue growth and business transformation.
"Since our inception in 1968, TCS has always been leading change in embracing new technologies, helping decipher the opportunities behind them, and executing transformational projects for our clients to rapidly unlock business value," said Abhinav Kumar, Chief Marketing Officer, TCS.
The TCS Thought Leadership Institute conducted a survey of nearly 1,300 CEOs and senior executives across diverse industries and countries, offering valuable insights into AI adoption trends. Noteworthy findings include executives' belief in AI's potential impact, surpassing that of the internet and smartphones, as well as the identification of corporate functions leading in AI adoption.
Looking ahead, businesses recognise the imperative of adapting their operations to fully leverage AI's potential. A significant portion (40%) acknowledges the need for substantial changes to capitalise on AI's benefits. Moreover, there is a growing demand for global AI standards and regulations to ensure responsible AI deployment.
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