Artificial Duplicates and the Illusion of Unfettered Productivity among India's Corporate and Academic Elite

The recent proliferation of artificial‑intelligence generated doppelgängers, colloquially termed “AI twins,” has found a conspicuous foothold among senior executives of Indian conglomerates and among members of the country’s most prestigious academic institutions, where they are advertised as a means of answering queries, drafting correspondence, and even attending board meetings in place of the flesh‑and‑blood incumbents, thereby creating a veneer of superhuman efficiency that masks the underlying complexities of technological substitution and corporate disclosure.

Against a backdrop of governmental ambition to position India as a global hub for artificial intelligence research, bolstered by fiscal incentives estimated at several hundred billion rupees and by the Ministry of Electronics and Information Technology’s declaration of an “AI‑First” national strategy, the adoption of autonomous conversational agents by firms such as Reliance Industries, Tata Consultancy Services, and emerging fintech start‑ups has been lauded in official communiqués as a catalyst for productivity gains measured in percentages of time saved, yet such proclamations remain detached from rigorous empiricism and ignore the concomitant costs associated with data licensing, algorithmic maintenance, and the potential erosion of human capital.

From a corporate governance perspective, the substitution of a physical chief executive officer by a virtual proxy during strategic deliberations raises unsettling questions concerning fiduciary duty, as the board’s responsibility to act on the basis of information presented by an entity that lacks legal personhood may contravene the Companies Act of 2013, while also potentially violating securities regulations that demand transparent disclosure of material risk factors to shareholders, a principle that the Securities and Exchange Board of India has historically enforced through stringent reporting requirements yet appears ill‑equipped to scrutinise the opacity of machine‑generated decision‑making.

The labour market ramifications of this trend are equally stark, for while proponents argue that AI twins free senior personnel to concentrate on “high‑value” tasks, the displacement of mid‑level analysts, research assistants, and administrative staff may precipitate a surge in contractual employment arrangements, exacerbate the already precarious status of gig workers, and engender a skills gap that policy‑makers have struggled to address through existing vocational training schemes, thereby threatening the inclusive growth narrative that successive Indian finance ministers have championed.

Regulatory oversight, already strained by the rapid evolution of digital technologies, finds itself confronted by the twin challenges of ensuring data privacy under the Personal Data Protection Bill and safeguarding market integrity under the Securities Law, a dilemma accentuated by the fact that many AI twins operate on cloud platforms hosted abroad, rendering jurisdictional enforcement tenuous and exposing Indian enterprises to cross‑border compliance risks that the Competition Commission of India has only sporadically examined in the context of algorithmic collusion.

In light of these developments, one must inquire whether the current corporate disclosure regime possesses the requisite granularity to obligate firms to report the extent to which artificial agents participate in decision‑making, whether the Companies Act should be amended to recognise virtual proxies as a distinct class of officer subject to fiduciary standards, and whether shareholders, armed with limited technical expertise, can realistically evaluate the material impact of delegating strategic deliberations to code‑driven entities without a robust, independently verified audit framework; moreover, does the existing securities legislation provide sufficient latitude for regulators to penalise omissions that are not overt misstatements but subtle concealments of algorithmic influence, and how might the courts reconcile the principle of limited liability with the potential for AI‑generated recommendations to precipitate corporate loss?

Finally, one is compelled to consider whether the government’s aspiration to make India a pre‑eminent AI ecosystem should be tempered by a systematic appraisal of the societal costs attendant to the substitution of human judgement by artificial constructs, whether policymakers ought to institute a mandatory impact assessment that evaluates employment displacement, data sovereignty, and consumer protection before granting broad exemptions to firms deploying AI twins, and whether a coordinated inter‑agency task force, comprising the Ministry of Corporate Affairs, the SEBI, and the Data Protection Authority, could be empowered to develop transparent guidelines that balance innovation with accountability, thereby ensuring that the promise of efficiency does not eclipse the fundamental tenets of democratic economic governance.

Published: June 6, 2026