Talent, data hurdles primary barriers for India's AI ecosystem: Report
According to the report, which surveyed 308 stakeholders, including startups, business users, and consumers, 47.2% of respondents identified talent availability as a significant barrier to competitiveness - ranking it jointly as the top challenge alongside customer adoption.
India's artificial intelligence ecosystem is facing significant challenges, according to a recent report by policy think tank The Dialogue. The primary obstacles are the shortage of skilled talent and the lack of standardised data, rather than issues such as market concentration or exclusionary practices by major tech companies.
The survey of 308 stakeholders, including startups, business users, and consumers, revealed that 47.2% of respondents cited talent availability as a major barrier to competitiveness, ranking it jointly as the top challenge with customer adoption. Bhoomika Agarwal, Senior Programme Manager at The Dialogue, emphasized that building, training, deploying, and scaling AI systems require specialised skills beyond just a large technology workforce.
Data usability emerged as an even bigger hurdle, with 63.2% of AI developers citing a lack of data standardisation as their most significant challenge, surpassing concerns over copyright (44%) or data scarcity (42%). Only 15% of respondents felt that government-held datasets were readily accessible. The report also highlighted the pervasive use of open-source AI models and tools, with 96.2% of AI startups and developers relying on them, 62.3% of them with a high reliance.
Written by urgent.news from Economic Times Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
