AI may be a boardroom priority, but most companies still lack the foundation to scale it: Report

Artificial intelligence (AI) has surged to the forefront of business priorities globally. However, a recent report from Tata Communications and Bloomberg Media Studios reveals that many companies lack the essential technology, systems, and skilled workforce to effectively transform their AI investments into tangible outcomes. The report, titled 'Building Durable AI Advantage,' highlights that while AI is projected to create trillions of dollars in economic value over the next decade, businesses may fall behind if they do not modernize their digital infrastructures to support extensive AI deployments. According to the report, AI is expected to redefine cost structures, speed up product development, and enhance decision-making across various sectors, generating trillions in value by 2030. Significantly, the report indicates that while 77% of surveyed enterprises view AI as a critical boardroom issue, only 35% possess the necessary infrastructure to scale AI initiatives throughout their organizations. Meanwhile, a staggering 65% still depend on outdated systems ill-suited for the data-intensive nature of contemporary AI applications. The implications of these findings are substantial. Citing estimates from Morgan Stanley, the report suggests that complete AI integration within the S&P 500 could yield approximately $920 billion in annual net benefits, potentially leading to an increase of $13 trillion to $16 trillion in market capitalization over time—equivalent to about a quarter of the S&P 500’s current market value. Despite these promising forecasts, many firms continue to struggle with moving beyond initial pilot projects. The report identifies five critical factors influencing whether AI investments lead to sustained competitive advantages: infrastructure readiness, enterprise integration, workforce skills, governance, and return on investment. Among these, infrastructure challenges stand out, as fewer than half of the enterprises surveyed reported having fully modernized network connectivity, hybrid deployment flexibility, or data architecture. Only 29% indicated their infrastructure could scale in line with changing business needs. Furthermore, integration issues pose another significant obstacle. Approximately 28% of business leaders noted difficulties in merging AI with legacy systems as a primary barrier to unlocking the full potential of their AI investments. The report emphasizes that fragmented platforms and siloed data hinder the broader deployment of AI initiatives across organizations, isolating their benefits. The skills gap presents an equally urgent challenge. Nearly one-third of executives identified the shortage of specialized AI talent as a crucial barrier to scaling AI. About 30% of companies specifically pointed to skills shortages as a leading impediment to realizing AI's value. The report underscores that addressing AI challenges extends beyond technology; it also encompasses talent management. Organizations that struggle to attract, train, and reorganize their workforce around AI may hinder their own transformational journeys.