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This representational picture shows a computer chip with "AI" written on top of it. — Unsplash/File
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LAHORE: Public sector production capacity has long created challenges for governments around the world, but in Pakistan, service supply is marked due to extremely incompetent and high costs. On the contrary, developed economies, while bear the highest costs of the public sector, generally provide services more efficiently.
To enhance productivity through artificial intelligence (AI), the UK’s official leaders have emphasized the need for dealing with old technology, limited access to quality data and a reduction in digital skills. Similarly, as the United States seeks to renovate the role, scale and scope of its federal government, the public sector’s production capacity has returned to the spotlight. With $ 36 trillion swelling in US national debt, the new focus is timely.
The capacity of the productivity of the public sector is far from the straight away. The absence of a clearly described economic results makes it difficult to calculate the productivity of the total factor (TFP) that obstructs a meaningful comparison with other sectors of the economy.
Both challenges – Practical obstacles to measuring the production capacity of the public sector and improving it through the AI - are seriously relevant to Pakistan, where structural and institutional inability and even more clear.
As in the UK, Pakistan’s public sector has a clear lack of economic results, which makes it difficult to evaluate the performance using TFP or similar matrix. Many services – such as education, policing, regulation and health care – are estimated rather than input measures (budget, staff levels) rather than results (citizens’ satisfaction, case resolution hours). Without the basic line of productivity, it is almost impossible to measure benefits or justify investment in technology.
The obstacles to performance and adoption of AI are faster than the argument in Pakistan than the UK or the United States. Many government departments still rely on paper -based system or outdated, standstone software, hindering any digital or AI -powered solutions in ATT integration and scalebuability.
One of the major challenges is the poor quality and leakage of the data. Even basic citizens’ databases – ground records, taxes and health coverings – are often scattered, false or inconsistent. This creates an important obstacle to AI, which relies on clean, structural data.
Pakistan’s civil service is also suffering from a clear digital and AI literacy difference. Most government officials lack training to understand, buy or implement AI tools effectively. Unlike the private sector, the public sector is struggling to attract AI talent due to a limited salary structure and a limited development of career.
As in the UK, critical figures in Pakistan are often caught in the obsolete or blaming system – if absolutely digitized. The integration between federal, provincial and local systems is weak, which limits intelligent automation opportunities.
To enhance the production capacity of the public sector, experts say that Pakistan must develop a clear strategy, which can be set up for departments, an output -based KPI to begin to identify the productivity and potential improvement. Basic records and systems – such as NADRA, ground revenue, and health officials – should be digitized in mutual cooperation formats that support data analytics.
Investment departments in the basic digital infrastructure and cloud -based platforms must be enabled in real -time data sharing. The government should also introduce a special AI and data enclosure program for government employees, and should consider special salary scales or public private partnerships to attract AI experts. In high-impact areas, pilot projects can act as evidence of tax recovery, health diagnosis and urban grievances-the concept of the concept of the benefits of productive capabilities.
