Forrester finds flaws in IT's AI narrative and claims that only 10–15% of pilots scale

Despite the ongoing buzz around artificial intelligence (AI) adoption in Indian IT services firms, most AI initiatives are failing to translate into long‑term, sustained outcomes, according to a recent report by global research firm Forrester.

Indian IT companies — including major service providers — have publicly touted rapid adoption of AI technologies across client operations and internal workflows. Investments in machine learning, generative AI, natural language processing, and other advanced tools have surged as firms aim to modernize offerings and drive productivity.

However, the Forrester report reveals a stark reality: only around 10–15% of AI pilot projects actually move into long‑term production deployment. This suggests that while enthusiasm and experimentation are high, the majority of AI projects struggle to achieve scalable results.

Why So Many Projects Stall
Forrester points to several persistent challenges that are impeding AI’s transition from concept to production:

Integration Difficulties: AI solutions often fail to integrate with existing enterprise systems and workflows, leading to fragmented deployments that are difficult to operationalize.

Data Quality Issues: Poor data hygiene, lack of structured datasets, and inadequate data infrastructure continue to hinder effective AI model training and execution.

Organizational Resistance: Without clear change management strategies and alignment with business processes, many AI pilots remain isolated experiments rather than becoming embedded into core operations.

These issues contribute to a significant breakdown between initial pilot success and sustained production use, echoing broader global trends that show many AI initiatives scrapping before realizing measurable business outcomes.

Industry Claims vs. Forrester Reality
Despite the bleak scaling statistics, many Indian IT firms continue to claim strong adoption rates and growing AI capabilities among their clients. Leadership teams often highlight generative AI deployments, enhanced service offerings, and new revenue streams tied to AI.

But according to Forrester, such claims may mask a deeper implementation gap: deployment alone isn’t enough — sustained, measurable impact is the benchmark for success, and only a minority of projects are reaching that stage.

What This Means for the Sector
Industry analysts say the findings raise important questions about how AI is being adopted and operationalized within India’s IT services ecosystem. Pilots may generate excitement and headlines, but business leaders will need to strengthen data infrastructure, integrate AI into existing systems, and focus on measurable ROI to convert experiments into strategic advantages.

Some allied research — including industry surveys — shows AI adoption continuing to grow, with many companies planning increased investment and scaled deployments in coming years. Still, the gulf between ambition and execution remains a central theme in the broader AI narrative.