The Technology Assessment
Assessing emerging technology requires distinguishing between three different questions that are routinely conflated in popular coverage: what can the technology do in controlled demonstrations? What can it do in deployed, real-world conditions? And what will it be able to do in the future as the technology matures? The answers to these three questions are typically very different, and conflating them produces assessments that are wildly optimistic about near-term deployment while underestimating long-run potential β or the reverse, depending on which question the evidence actually addresses.
The demonstrated capabilities of this technology in laboratory conditions are impressive in ways that are technically real and practically significant. The gap between laboratory performance and deployed performance is also real, driven by the usual combination of distribution shift (real-world inputs differ from training or demonstration inputs in ways that matter), reliability requirements (real deployments require much higher consistency than demonstrations), and integration complexity (deploying technology in real systems requires solving problems that do not arise in isolation).
The Adoption Curve Reality
Technology adoption curves follow patterns that are well-documented in the innovation diffusion literature but are rarely applied to specific technologies by the analysts covering them. The early adopter phase, where a technology is taken up by the organisations and individuals with the highest tolerance for unreliability and the most to gain from early access, looks from the outside like a general trend that will rapidly propagate to the mainstream. It frequently does not β the gap between early adopter conditions and mainstream conditions is often larger than the adoption rate during the early-adopter phase suggests.
The specific factors that determine whether a technology crosses the chasm from early adopter to mainstream adoption are well understood: reliability that meets mainstream tolerance thresholds, pricing that meets mainstream willingness-to-pay, complementary infrastructure that reduces the integration burden, and the availability of use cases that generate sufficient value to justify adoption cost. Where these factors are present, diffusion is rapid; where they are absent, technologies that seemed inevitable stall at surprisingly low penetration rates for surprisingly long periods.
The India Angle
India's relationship with this technology transition is shaped by conditions that are specific enough to deserve separate analysis rather than treatment as a regional variant of a global trend. The combination of a large, cost-sensitive domestic market, world-class technical talent with strong English-language capabilities, a regulatory environment that is more permissive in some dimensions and more restrictive in others than the OECD baseline, and the specific industrial and consumer use cases that are most salient in the Indian context creates a technology adoption pathway that diverges meaningfully from the US and European cases that dominate the global coverage.