Meta to ‘Asharq Al-Awsat’: Messaging Apps Are Saudi Arabia’s New Digital Services Gateway

Success is measured by response speed, accurate resolutions and lower costs, not message volume alone. (Reuters)
Success is measured by response speed, accurate resolutions and lower costs, not message volume alone. (Reuters)
TT

Meta to ‘Asharq Al-Awsat’: Messaging Apps Are Saudi Arabia’s New Digital Services Gateway

Success is measured by response speed, accurate resolutions and lower costs, not message volume alone. (Reuters)
Success is measured by response speed, accurate resolutions and lower costs, not message volume alone. (Reuters)

Saudi Arabia’s vast digital base is positioning messaging apps to move beyond communication and become full-service channels.

Internet penetration in the kingdom has reached 99%, while nine in 10 Saudi adults use WhatsApp daily, according to data cited in a report prepared by BCG.

That daily use is not limited to personal chats. It gives companies and government agencies a ready platform to deliver services inside a single window, from search and inquiry to placing requests, resolving problems and following up.

In an exclusive interview with Asharq Al-Awsat, Fares Akkad, Meta’s regional director for the Middle East and Africa, said messaging is becoming central to Saudi Arabia’s next phase of digital transformation.

“It is evolving from a communication tool into a space where the full journey happens, from finding and using a service to resolving a problem, all within one conversation,” he said.

Plans show scale of shift

The BCG report says 84% of institutions in Saudi Arabia plan to invest in rich messaging technologies over the next five years, putting them ahead of traditional channels such as SMS and email.

Rich messaging moves services beyond one-way alerts. Users can ask a question, receive an answer, request a service, complete a procedure and return to the same conversation when needed, without losing the context of the exchange.

Akkad said the shift reflects a clear change in user expectations. People now expect interaction that is immediate, personal and continuous, rather than moving between call centers, websites and separate apps.

“Legacy systems that rely on one-way messages, call centers with long waiting times and separate channels where context is lost at every transition create friction felt by both sides,” he said.

The trend is not limited to Saudi Arabia. Globally, 72% of internet-connected adults prefer messaging as a primary way to communicate with companies, while 79% contact a company through messages at least once a week.

More than alerts

The core change is the move from using messaging to send notifications to using it as a main service channel.

An organization no longer simply sends a confirmation or update. It lets the user complete the action inside the same conversation.

Akkad said the change goes deeper than communication habits because it affects how services are designed and how people reach them.

“This reflects a structural change in how services are delivered and how interaction is designed across companies, ministries and national platforms,” he said.

In government services, messaging can reduce the need to learn new portals or navigate multiple systems, especially when services are delivered through an app citizens already use and understand.

Akkad said familiar channels “reduce the learning curve and lower barriers to access,” especially for users who may struggle with new portals or systems.

AI handles scale and context

Messaging provides the channel. Artificial intelligence makes it scalable.

AI allows large volumes of conversations to be managed around the clock, while helping systems understand the intent behind a question, provide an answer or escalate the case when needed.

The data shows that 80% of decision-makers believe AI agents will change how customers are engaged.

In practice, those agents can understand user intent, answer frequent questions instantly, provide information in Arabic and English, and refer more complex cases to human employees.

Akkad told Asharq Al-Awsat: “AI manages scale, from routine inquiries and multilingual responses to round-the-clock availability, while human employees remain at the center of cases that require judgment, sensitivity or personal interaction.”

That view aligns with a Digital Government Authority study that described “AI agents as partners to government.” Conversational agents can act as frontline digital employees, answering basic questions immediately and referring cases that need specialist intervention.

But the human role remains essential, Akkad said. Human expertise is still needed in complex situations, in decisions that require judgment and in interactions that cannot be reduced to an automated answer.

More than one billion conversations a day

Global figures show how quickly commercial interaction is moving into messaging apps.

Akkad said more than one million companies currently use Meta Business Agent to respond to customers around the clock.

He said “more than one billion active conversations take place daily between businesses and customers across WhatsApp, Messenger and Instagram,” a sign of growing reliance on these platforms as direct channels for interaction and service delivery.

Akkad said the trend is no longer just about directing a question to the right employee. It is about delivering a more personalized experience from the first moment.

“The vision is for every company to be able to show up for every customer as if it had an unlimited team behind it,” he said.

That scale is changing how institutions view messaging apps. Instead of treating them as an extra channel alongside phone and email, they are becoming part of the operating infrastructure that receives requests, processes them and measures results.

Saudi Post’s SPL as an example

Saudi Post’s SPL shows what messaging can achieve when used at scale.

As e-commerce grew and pressure on traditional channels increased, the organization moved to a model led by message-based interaction.

Today, 90% of customer inquiries are resolved inside the messaging channel. Call center waiting times have fallen by 50%, and operating costs have dropped by 75%.

Akkad said the gains did not come from adding a new channel to an old system. They came from redesigning the entire customer journey.

“The SPL experience shows what can be achieved at national scale, not inside a limited pilot project, but in live, high-usage operations serving the Saudi public,” he told Asharq Al-Awsat.

The figures also show that lower costs and better service do not have to move in opposite directions. In this case, operational pressure fell while answers became faster, information more accurate and the experience simpler for users.

Value lies in outcomes

The success of messaging cannot be measured only by the number of conversations or the speed of the first response. Institutions need to connect the channel to clear operational and business outcomes.

Akkad proposed measuring performance across three levels.

The first is user experience, including response speed, accuracy of resolution and satisfaction levels. The second is operational performance, such as lower costs and the share of inquiries fully resolved inside the channel. The third is commercial or institutional performance.

BCG data shows that institutions using multiple messaging use cases generate 2.1 times higher customer lifetime value and 1.5 times better customer acquisition efficiency.

Akkad said “the most important measurement is the one that links messaging directly to outcomes rather than activity.”

That means asking whether the channel reduces calls, shortens the steps needed to complete a service, improves customer retention and lowers the cost of each transaction or inquiry.

Five capabilities for successful scaling

The BCG report identified five capabilities institutions need to move from limited use cases to integrated service delivery through messaging.

The first is treating messaging as a core service channel and choosing use cases that deliver direct value.

The second is data and technology readiness. An AI agent cannot give accurate answers if information is outdated or scattered across systems that do not connect.

The third is an operating model that allows technology, customer service, marketing and operations teams to work together.

The fourth is partnerships between technology providers, platforms and service operators.

The fifth is a clear measurement framework that links messaging performance to satisfaction, efficiency and growth.

Akkad said these capabilities “will determine which public and private institutions lead the next phase of digital transformation.”

The risk of unready data

AI-backed messaging projects can fail when they are treated as a more advanced version of SMS.

Akkad said using the channel for one-way alerts is not a full strategy. The main value lies in continuous two-way dialogue and in keeping the user in one context from the start of the journey to the end.

The second risk is deploying AI tools before preparing the data they rely on.

If the system cannot access accurate and updated information, it will give weak or incorrect answers, damaging trust.

“If the system cannot show accurate and updated information, the experience is damaged, and this affects trust in ways that are difficult to recover from,” he said.

The third mistake is underestimating partnerships. Delivering conversational service at scale requires coordination between the platform, solution providers and the service provider, as well as the teams managing data, operations and experience.

The Saudi market is moving from having the channel available to redesigning services around it. The success of that shift will depend on how well institutions connect conversations to data, operations and measurement, rather than simply adding another window for communication.



Under Fire over AI, Effective Altruism Wants to Tell Its Own Story

Anthropic chief executive Dario Amodei is considered a key figure in effective altruism’s early days, although he now denies any link. ANDREJ IVANOV / AFP
Anthropic chief executive Dario Amodei is considered a key figure in effective altruism’s early days, although he now denies any link. ANDREJ IVANOV / AFP
TT

Under Fire over AI, Effective Altruism Wants to Tell Its Own Story

Anthropic chief executive Dario Amodei is considered a key figure in effective altruism’s early days, although he now denies any link. ANDREJ IVANOV / AFP
Anthropic chief executive Dario Amodei is considered a key figure in effective altruism’s early days, although he now denies any link. ANDREJ IVANOV / AFP

The effective altruism movement, which has close ties to the AI community and the companies leading the artificial intelligence boom, has drawn mainstream attention and accusations of cult-like behavior and alarmism.

The hard-to-define movement is still growing, and wants to better explain its values amid bitter criticism from the Trump administration and some powerful voices in Silicon Valley.

Its founding principle is to give money or time to major causes as effectively as possible, an intentionally dispassionate approach has at times been called out of touch, said AFP.

The New York Post called it a "wacky cult," the conservative Daily Caller dubbed it "The AI Doomsday Cartel," and a White House memo accused it of preferring the saving of "shrimp over families."

Once little known outside the tech world and some academic and political circles, effective altruism (EA) has been in the spotlight in recent weeks after a series of warnings about AI risks.

Those warnings were linked to EA. David Sacks, a venture capitalist and adviser to President Donald Trump, argued that organizations tied to EA are part of a "Doomer Industrial Complex" pushing for tougher AI regulation.

- 'Strange' ideas -

EA is deeply rooted in Silicon Valley and counts controlling AI's dangers among its priorities.

Anthropic chief executive Dario Amodei is considered a key figure in EA's early days, although he now distances himself from the movement.

Anthropic president Daniela Amodei, Dario's sister, is married to Holden Karnofsky, an Anthropic employee and a leading EA proponent.

The movement has also influenced researchers and staff at other AI companies, including ChatGPT-maker OpenAI, particularly those working on AI safety.

The movement, which took shape about 15 years ago, is used to criticism.

Wealthy EA donors have often been accused of self-importance and of believing they alone know how best to give.

"Our ideas are just strange enough that people genuinely misinterpret them sometimes, and we can do a better job explaining how effective altruism approaches hard questions and tradeoffs," said Zachary Robinson, head of the Centre for Effective Altruism.

Robinson, whose organization supports the movement without directing it, sees the scrutiny since the summer as an opportunity to open up rather than retreat, because "people are curious to learn about us now."

After growing steadily until 2022, EA was badly damaged by the collapse of cryptocurrency platform FTX and its founder Sam Bankman-Fried, once the face of EA and later convicted of fraud.

After several difficult years, "We're on an up right now," Robinson said, pointing to attendance at the EA Global conference in New York in mid-October.

Like many at EA Global, Shanil Wijesinghe who works at a Canadian non-profit rejected the image of EA as monolithic. "It is a values-based movement and not an identity-based movement," he said.

"We're all trying to do the most good, with the resources we have," he said. Those values "can be interpreted differently, and I think we have to embrace those differences."

- No leader -

EA has no leader or spokesperson. Sjir Hoeijmakers, head of the charity platform Giving What We Can, said that is a good thing, even if it means "sometimes the story doesn't get told."

Still, "effective altruism is now a movement large enough that it's actually really influencing the world, and that's getting noticed," he said.

"I think the work that they're doing has been quite valuable," said Nadav Brandes, a genetics researcher also at EA Global, referring to AI safety.

"Without those pioneers... nobody would still today take this issue very seriously," he added.

Brandes said he was initially skeptical when AI became a major EA cause, joining climate change and animal welfare.

"It was even a little bit off-putting to me," he recalled. "I was totally wrong about it."

Robinson stressed, however, that EA is about more than AI.

"The cause that gets the most emphasis right now is AI safety, but I think it would be false to say EA is AI safety," he said.

"If you look at the money side of things, actually, it's been the case for many years that global health and development gets much more money than AI," he said.


Tech Firms Claw Back Some Losses after Midterms Rout, Eyes on Nvidia

Nvidia said it was launching an investigation into whether boss Jensen Huang had been targeted in a foreign espionage plot. Brendan SMIALOWSKI / AFP/File
Nvidia said it was launching an investigation into whether boss Jensen Huang had been targeted in a foreign espionage plot. Brendan SMIALOWSKI / AFP/File
TT

Tech Firms Claw Back Some Losses after Midterms Rout, Eyes on Nvidia

Nvidia said it was launching an investigation into whether boss Jensen Huang had been targeted in a foreign espionage plot. Brendan SMIALOWSKI / AFP/File
Nvidia said it was launching an investigation into whether boss Jensen Huang had been targeted in a foreign espionage plot. Brendan SMIALOWSKI / AFP/File

Tech firms rose Monday to claw back some of last week's painful losses fueled by AI regulation worries, though traders were keeping a wary eye on a probe into Nvidia boss Jensen Huang amid claims of an affair with a Chinese spy.

Chipmakers and other companies linked to the artificial intelligence boom took a hammering in the days after Tuesday's US midterms saw Democrats sweep both houses of Congress in a rebuke to Donald Trump and his Republican party.

The results suggested voters were angry at the president's Iran war and tariffs, which have sent prices soaring, as well as a sharp kickback against the huge data center buildout that has taken place across the country in recent years.

That has led to speculation the new Congress will seek to wind in tech firms' construction drive, which could put thousands of jobs at risk.

The uncertainty comes with traders already nervous about when the hundreds of billions of dollars pumped into the sector would actually see a profit.

After taking a lashing on Thursday, Wall Street enjoyed a little stability at the end of last week, and Asia -- which had suffered a hammering itself on Friday -- largely followed suit to start this week.

Tokyo, Seoul and Taipei -- which are heavily weighted with AI-linked tech giants -- led the advances.

The Japanese Nikkei 225 piled on more than three percent thanks to rallies in Kioxia, Tokyo Electron and Advantest, while SK hynix and Samsung piled on around three percent to push the South Korean Kospi sharply higher.

Taiwan's TSMC rocketed nearly six percent to drag the Taiex five percent higher.

There were also healthy gains in Hong Kong and Shanghai, though Sydney, Wellington and Manila edged down.

"Investors will be watching carefully this week to get a sense as to whether these gains are just short-covering, bargain hunting or the beginning of something more sustainable in nature," said Sally Auld at National Australia Bank.

"Fears around AI regulation, the outlook for (capital expenditure) and free cash flow have been the driver of risk reduction in recent weeks and these issues are not likely to be resolved with any conviction in the near term.

"Nonetheless, the valuation of many tech stocks now looks less expensive."

- Nvidia probe -

However, a little more uncertainty was injected into markets with news that Nvidia's board was launching an investigation into whether Huang had been targeted in a foreign espionage plot following his admission that he was unfaithful to his wife.

The New York Times reported last month that US intelligence officials concluded a Chinese executive linked to a Singapore-based data center company called Megaspeed had been funneling information to Beijing.

The executive, Alice Huang -- also known as Huang Le, and no relation to 63-year-old Taiwanese-born Jensen -- developed a close relationship with the Nvidia boss, the Times said.

Nvidia is a global leader in producing chips used to train and run AI models and one of the world's most valuable companies, and last year became the first to reach a market capitalization of $5 trillion.

Jensen Huang is a huge figure in the AI revolution and a close informal adviser to Trump, and the Times said the Nvidia boss's extra-marital relationship could have revealed insights into Trump's thinking around AI.

Technology analyst Dan Ives, at investment bank Yorkville Ives, said the crisis will at the very least spark multiple congressional inquiries and "create an overhang on the stock for a myriad of reasons".

"This will add risk to the stock as he is so important to the Nvidia story and strategy globally," Ives added. "This will also increase major scrutiny regarding selling chips to China, which remains a key battleground issue in DC."

Investors will be keeping tabs this week on the release of fresh US inflation data, after figures Friday showed the economy created far more jobs than expected in October.

The figures will key for the Federal Reserve in determining whether or not to hike interest rates when it meets next in December, with markets saying there is an 80 percent chance of a lift.


Pakistan-Built Robots Serve Taste of Future to Karachi Diners

This photograph taken on October 2, 2026 shows Robia (R) and Jojo (2R), humanoid robot waitresses serving customers at the Sicilian restaurant in Karachi. (AFP)
This photograph taken on October 2, 2026 shows Robia (R) and Jojo (2R), humanoid robot waitresses serving customers at the Sicilian restaurant in Karachi. (AFP)
TT

Pakistan-Built Robots Serve Taste of Future to Karachi Diners

This photograph taken on October 2, 2026 shows Robia (R) and Jojo (2R), humanoid robot waitresses serving customers at the Sicilian restaurant in Karachi. (AFP)
This photograph taken on October 2, 2026 shows Robia (R) and Jojo (2R), humanoid robot waitresses serving customers at the Sicilian restaurant in Karachi. (AFP)

Wheeling its way between dining booths at a neon-lit restaurant in Pakistan's Karachi megacity, a robot waitress drops off a fresh pizza to an awaiting family.

While global buzz is growing around agile humanoids made in the United States, China and elsewhere, robotic staff are a rare sight in the South Asian country.

"Welcome to Sicilian. My name is Robia," the waitress says in an electronic voice, looking down at diners through blinking red LED eyes.

Robia and her colleague Jojo are the DIY creations of Pakistani engineer Syed Osama Aziz, who is bringing a sci-fi reboot to Karachi's storied dining scene.

They have spherical white heads and dark visors, similar to a motorcycle helmet, and sport black shawls around their neck in the style of a dupatta worn by women in the region.

Aziz, who also established The Sicilian restaurant, developed the machines using mostly locally manufactured parts, designing their circuit boards and programming them in his own lab.

"The equipment, the things needed to make robots, are not so easily available here, so we had to arrange them," he told AFP.

The duo were developed through his robotics company, Cobot, with help from friends and some electronic components imported from abroad.

In China and other East Asian countries especially, robots are an increasingly common sight, shuttling food to customers in chain restaurants and taking on other jobs from cleaning to greeting hotel guests.

But they remain a novelty in Pakistan, where Aziz's home-grown creations are attracting curious diners.

When they arrive at a table, the customers must either take the food off their serving tray themselves or wait for a human member of staff to assist them.

- Excited customers -

Aziz, whose workshop manufacturing the robots is located in Multan in Pakistan's central Punjab province, hopes to make his creations more sophisticated in the future.

"Our plans are to add camera-based processing and image-processing features," he said.

"That means the robot will also recognize you by looking at you, and it will remember what you ordered last time, and accordingly it will be able to give you better suggestions."

For now, the robots are proving a hit with families, who flock to the restaurant to watch the machines in action.

"The best thing about it is that it introduces itself," excited customer Ahmer Zameer told AFP, explaining the robot also "tells you what things you can order".

Children reach out to touch the robots while their parents snap photographs and selfies.

Young customer Sonia Dilosker said she was impressed by the androids' appearance and preferred their approach to serving customers, "because it is a machine and without any emotions".

Restaurant staff say the novelty has brought a surge in customers -- some travelling from across the sprawling port city to meet the robots.

"Our business has grown. People are coming from far away for this. They have seen a robot for the first time here," staff member Hellen told AFP.

"People are excited to see this."