Moody’s says Pakistan’s external position under stress after inconclusive IMF talks

A broker talks on phone as he looks an index board showing the latest share prices at the Pakistan Stock Exchange in Karachi on February 10, 2023. (Photo courtesy: AFP)
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Updated 10 February 2023
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Moody’s says Pakistan’s external position under stress after inconclusive IMF talks

  • Pakistan could not finalize a deal with the IMF to unlock about $1.2 billion under a bailout program signed in 2019
  • The country’s equity market reacted negatively to the development, shedding 724 points amid growing uncertainty

KARACHI: A global credit rating agency said on Friday Pakistan’s external position was in significant stress after negotiations between the government and a visiting mission of International Monetary Fund (IMF) remained inconclusive after 10 days of interaction in Islamabad.

The IMF mission led by Nathan Porter visited Islamabad from Jan. 31 to Feb. 9 to hold discussions under the ninth review of the IMF’s $7 billion Extended Fund Facility (EFF) arrangement signed in 2019. The face-to-face dialogue ended without sealing the much-awaited deal on the stalled program, though the two sides agreed to resume their talks virtually from next week to come to a final conclusion over the release of $1.2 billion.

In a statement issued on Friday, Moody’s said the revenue-raising measures were likely be among prior actions the IMF would require from Pakistan.

“Pakistan’s government liquidity and external vulnerability risks are elevated, and there remains considerable risks around Pakistan’s ability to secure required financing to fully meet its needs for the next few years,” said the global credit rating agency’s statement quoted by Reuters.

A successful IMF deal will also unlock other crucial funding from governments and multilateral bodies. But the fiscal adjustments demanded by the deal are likely to fuel record high inflation, which hit 27.5 percent year-on-year in January 2023.

Speaking to reporters in Islamabad on Friday morning, finance minister Ishaq Dar acknowledged the government would need to levy new taxes.

“We will have to impose Rs170 billion fiscal measures,” he said while hoping these taxes would not burden the low-income segments.

Dar later led the Economic Coordination Committee’s meeting which approved an additional surcharge of Rs1 per unit of electricity to recover an estimated Rs76 billion ($282.81 million) in power sector liability.

The issue reportedly came up for discussion within the IMF talks as well, and the measure was taken to reduce the country’s circular debt which accumulates in the power sector due to subsidies and unpaid bills.

The IMF also said in a statement it welcomed Pakistan’s commitment to implement policies “needed to safeguard macroeconomic stability.”

The mission has given Pakistan the Memorandum of Economic and Financial Policies (MEFP), a key document indicating a movement toward a likely agreement with fiscal targets under the ninth review of the loan program.

Meanwhile, financial analysts said the implementation of prior actions would clear the way for the final staff-level agreement (SLA) which was important since the country’s official forex reserves had dwindled to $2.9 billion.

“Pakistan should ideally have signed the staff-level agreement with the IMF during the mission’s stay in Islamabad,” Dr. Khaqan Najeeb, former advisor to the finance ministry, told Arab News.

“However, it is hearting to see that at least some general consensus on the policies for the stabilization has been reached by the two sides,” he continued. “It is now essential that Pakistan goes through the MEFP documents and finalizes all clauses and moves ahead with prior actions mentioned to secure the SLA before the end of the current month.”

Najeeb said the actions were now well known and included changes to electricity and gas tariffs.

“If these are done in time, one may hope that a date for the IMF board approval for $1.2 billion can be set towards the end of March 2023,” he added.

Some analysts believed, however, the two sides were just trying to determine the modalities of the agreement by focusing on certain remaining areas that would be covered through virtual talks.

“I think consensus could not be reached on some of the things but it is not problematic,” Tahir Abbas, head of research at Arif Habib Limited, told Arab News.

He added that Pakistan was left with no other option and the government knew it needed to comply with the IMF conditions.

“There are certain areas where further discussions are to be held which will be virtual since the IMF mission is gone,” he continued. “However, it is expected that the Pakistani authorities and the IMF will reach a consensus on all remaining issues and the program will resume.”

Pakistan’s equity market, which posted gains on Thursday amid hopes of an agreement between the two sides, reacted negatively to the outcome of the Islamabad talks on Friday by shedding 724 points.

“Stocks fell across the board after the IMF team left without a firm agreement on the bailout program,” Ahsan Mehanti, CEO of Arif Habib Corporation, told Arab News.

He called for expedited efforts to deal with the fund amid fast depleting forex reserves while pointing out the IMF board approval was likely to take another month.


Pakistani student launches ‘Urdu ChatGPT’ AI model

Updated 18 January 2026
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Pakistani student launches ‘Urdu ChatGPT’ AI model

  • Developer says “Qalb” is largest large language model built exclusively for Urdu
  • Project highlights push to localize artificial intelligence for non-English users

ISLAMABAD: A Pakistani student studying in the United States has launched an artificial intelligence model designed exclusively for the Urdu language, a development its creator says could help bridge longstanding gaps in access to advanced digital tools for millions of speakers worldwide.

The project, called Qalb, is positioned as an Urdu-first large language model at a time when most generative AI systems are primarily trained on English and other widely used global languages. Supporters of language-specific models argue they can improve accuracy, cultural relevance and accessibility for users in education, business and public services.

Urdu is spoken by more than 230 million people globally, including in Pakistan, India and diaspora communities, but remains under-represented in advanced AI systems. Efforts to localize artificial intelligence have increasingly been seen as critical for widening participation in digital economies, particularly in developing countries.

“Qalb is now recognized as the world’s largest Large Language Model created exclusively for the Urdu language,” Taimoor Hassan, the project’s developer, was quoted this month in a report in state-run news agency APP. 

“Trained on a massive dataset of 1.97 billion tokens and benchmarked across seven-plus international evaluation frameworks, Qalb outperforms existing Urdu-focused AI models on key real-world performance indicators, setting a new standard for natural language processing in Pakistan,” Hassan said.

“This is a development model and in the next phase we would soon launch App for mobile and web so that people could use and benefit from Qalb ChatGPT.”

Hassan completed his undergraduate degree in computer science at FAAST University’s Peshawar campus and is currently studying for a master’s degree in computer science and software engineering at Auburn University in the United States. According to APP, he is a serial entrepreneur who has previously launched and exited multiple startups and has represented Pakistan at international technology forums.

“I had the opportunity to contribute in a small way to a much bigger mission for the country,” Hassan said.

“Together with my undergraduate roommates and teammates, Jawad Ahmed and Muhammad Awais, we are committed to continuously fine-tuning localized models for niche industries, which we believe can become a major breakthrough for Pakistan.”

Both collaborators are also graduates of FAAST University Peshawar Campus and are currently studying in Germany, APP reported.

The team behind Qalb said the model is intended to support local businesses, startups, educational platforms and voice-based digital services, arguing that meaningful innovation is no longer limited to large technology firms.

“Technology is no longer locked behind big budgets or big teams. With the right mindset, even a small group can build products that educate, automate, and serve millions,” Hassan told APP.