Core Automation has published fresh findings on the tasks AI still cannot handle reliably, drawing a sharp line between what automation nails and where human judgment remains non-negotiable. For Indian SMEs racing to bolt AI onto sales, support, and back-office workflows, the message is blunt: the gaps are real, and they are expensive. The research lands as Indian firms pour budgets into AI tools without auditing whether those tools actually fit the job.
⚡ Fast Takeaways:
- Core Update: Core Automation outlined concrete categories where AI underperforms, including ambiguous decision-making, novel edge cases, and context-heavy tasks that need human oversight.
- Key Metrics / Specs: The findings stress that accuracy collapses when inputs fall outside training patterns, especially in unstructured, culturally specific, or high-stakes scenarios.
- Access & Availability: The analysis is public now, and it matters most for SMEs evaluating AI pilots before committing budget.
- India Angle: With only 22% of Indian firms running formal AI governance, most SMEs lack the guardrails to catch these failures early.