The failure of predicted technological doomsdays—VCRs didn't kill cinemas, the internet didn't eradicate TVs, and emails didn't wipe out courier services.
Instead, they spurred innovation across multiple sectors, despite initial disruption.
Technology adoption follows the S curve—starting slow, surging, plateauing, and declining.
AI adoption currently resides in the innovators' phase, with only a fraction understanding and utilizing its potential.
Healthcare could see a massive shift with AI, improving data handling, diagnoses, and disease detection accuracy.
AI has the potential to significantly reduce drug development time and costs by automating processes and data analysis.
Financial investment in AI for drug discovery has seen tremendous growth, with success stories like Moderna's rapid COVID-19 vaccine development.
AI's precision can reduce surgical errors, as seen in NHS studies highlighting its integration in stroke detection and treatment.
While developed countries race ahead in AI healthcare, Pakistan faces limitations in resources and technology despite acknowledging AI's potential.
Various institutions in Pakistan are launching AI programs to revolutionize education and industry through technological advancements.
A comprehensive approach is needed for AI development, emphasizing collaborative policy formation and implementation at national and industrial levels.
1. Proposals suggest forming an apex AI council involving ministries, public-private partnerships, integrating tech training, and legislating mandatory AI education in medical training.