Publication: TimesTech
By Mr. Virendra Sharma, Practice Director at Advaiya Solutions
Most business leaders these days are stuck in a cycle of algorithmic copying where AI initiatives are employed largely to copy what their industry peers or their rivals are doing. This type of benchmarking is grounded on the belief that if anyone is successful with their AI use then simply duplicating it will yield similar results. This is true only occasionally and leads to misaligned models, underutilized infrastructure, and ethics when the borrowed solution fails to conform to the governance framework or operating environment of the business.
One must realize that the deployment of AI is never a one-size-fits-all solution. Each firm is unique, defined by its proprietary data infrastructure, business processes, customer experience, and strategic initiatives. Blind adoption of what others are doing can cause inefficiencies within capital investment, swelling technical debt, and even non-compliance. Rather than framing the question of what others are doing?, leaders should focus their energy on their very firm-specific goals and thoughtfully consider where and how AI-based solutions can responsibly and ethically meet them. This mindset transforms AI from trend-driven investment to customized strategic asset based on actual business needs.