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)
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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.



Anthropic, OpenAI Release Cheaper AI Even as Safety Fears Grow

FILE PHOTO: OpenAI and Anthropic logos are seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: OpenAI and Anthropic logos are seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
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Anthropic, OpenAI Release Cheaper AI Even as Safety Fears Grow

FILE PHOTO: OpenAI and Anthropic logos are seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: OpenAI and Anthropic logos are seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

Anthropic and OpenAI on Tuesday released new, cheaper artificial intelligence models within hours of each other, days after the heads of both companies called for a slowdown in AI development.

Anthropic said its Opus 5.5 comes close to the performance of its flagship model at a significantly lower price. It matches Fable, Anthropic's cutting-edge model, on most tasks at a 20 percent lower price, AFP quoted the company as saying.

OpenAI followed shortly after with GPT-6 Sol and GPT-6 Luna, and claimed they handle tasks substantially better than Anthropic's top models.

The new models are cheaper, faster versions of GPT-6 Astra, OpenAI's most powerful model, launched earlier this month.

The dueling launches highlight the tension facing the two San Francisco companies as both warn of the dangers of the technology they are building.

The companies are, however, under pressure to generate returns on massive investments amid stiff competition from low-cost models, particularly Chinese ones.

Anthropic's release comes a few weeks before its expected stock market debut. OpenAI has delayed its IPO plans until next year.

Concerns about AI have grown since July, when OpenAI models undergoing a cybersecurity test got around controls meant to isolate them from the internet and broke into the servers of Hugging Face, an AI model repository.

Anthropic reported similar incidents, and the two companies briefly paused work on their new AI systems.

Earlier this month, Jacob Coxon, a British researcher, announced his resignation from Anthropic in a viral post on X, saying neither Anthropic nor OpenAI was acting responsibly in the aftermath of the Hugging Face incident.

In the wake of the Coxon's warnings, Anthropic CEO Dario Amodei called for slowing down AI improvement. He was joined by OpenAI CEO Sam Altman and Elon Musk, but mocked by Trump, who described such warnings as "hoaxes."

Opus 5.5 is the first Anthropic model released since then.

Anthropic said the new model applies the same safeguards as its state-of-the-art model Fable in the areas of cybersecurity, biology and AI model design.

In practice, a request deemed risky by these safeguards is rerouted to an older, less powerful model.

Anthropic also said that, based on its own testing, Opus 5.5 is the best-performing model it has tested to date on alignment -- that is, how closely it adheres to what its designers intend.

But the model also showed signs that it often suspects it is being evaluated, which the company acknowledged makes it harder to predict how it will behave in real-life use.


Meta Leans into AI, Smart Glasses amid Privacy Pushback

 (FILES) This photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps, including LLMs, chatbots and generative AI, with logos (from L) of Proton AG's Lumo, Meta AI, Mistral Vibe (formerly Le Chat), xAI's Grok, Microsoft's Copilot, Google's Gemini, Anthropic's Claude, Perplexity, Deepseek, OpenAI's Chat GPT, Google's Notebook LLM and generative AI music app Suno, in Saint-Mande, east of Paris, on July 15, 2026.  (Photo by Martin LELIEVRE / AFP)
(FILES) This photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps, including LLMs, chatbots and generative AI, with logos (from L) of Proton AG's Lumo, Meta AI, Mistral Vibe (formerly Le Chat), xAI's Grok, Microsoft's Copilot, Google's Gemini, Anthropic's Claude, Perplexity, Deepseek, OpenAI's Chat GPT, Google's Notebook LLM and generative AI music app Suno, in Saint-Mande, east of Paris, on July 15, 2026. (Photo by Martin LELIEVRE / AFP)
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Meta Leans into AI, Smart Glasses amid Privacy Pushback

 (FILES) This photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps, including LLMs, chatbots and generative AI, with logos (from L) of Proton AG's Lumo, Meta AI, Mistral Vibe (formerly Le Chat), xAI's Grok, Microsoft's Copilot, Google's Gemini, Anthropic's Claude, Perplexity, Deepseek, OpenAI's Chat GPT, Google's Notebook LLM and generative AI music app Suno, in Saint-Mande, east of Paris, on July 15, 2026.  (Photo by Martin LELIEVRE / AFP)
(FILES) This photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps, including LLMs, chatbots and generative AI, with logos (from L) of Proton AG's Lumo, Meta AI, Mistral Vibe (formerly Le Chat), xAI's Grok, Microsoft's Copilot, Google's Gemini, Anthropic's Claude, Perplexity, Deepseek, OpenAI's Chat GPT, Google's Notebook LLM and generative AI music app Suno, in Saint-Mande, east of Paris, on July 15, 2026. (Photo by Martin LELIEVRE / AFP)

Meta has spent billions to stay competitive with artificial intelligence, but the tech giant faces growing pushback as CEO Mark Zuckerberg prepares to announce new products built for the AI era on Wednesday.

The company will kick off its annual Connect conference from its Menlo Park headquarters at 4:00 pm PT (2300 GMT) Wednesday, and Zuckerberg will deliver a keynote address to the developer-focused event, said AFP.

Earlier this month the social media giant launched Muse, its first agentic app for consumers which is designed to perform tasks on behalf of humans, like a digital personal assistant.

After a user connects various personal accounts -- whether financial, health-related or shopping -- they can ask Meta to perform tasks like signing up for services, booking appointments and making calls.

Amazon blocked Meta this week from using AI bots to shop for users automatically, while other businesses including Instacart, Shopify and Expedia have announced partnerships to integrate their services into Muse.

The Muse agent is built on Meta's own AI models and is designed to compete with OpenAI's ChatGPT and Anthropic's Claude.

The company had its first pair of interactive smart glasses in 2021, about a year before OpenAI sparked a global AI frenzy with its release of ChatGPT, and since then the devices have become more and more advanced.

- 'Pervert glasses' -

Last year, Meta unveiled a pair of augmented reality "display" glasses which project images on the lenses.

And earlier this year, the company released self-branded AI glasses, apart from its partnership with eyewear manufacturer EssilorLuxottica, which produces multiple Ray-Ban-branded Meta glasses.

However, their novelty quickly became clouded by privacy concerns, with critics dubbing the eyewear as "pervert glasses."

At last year's Connect, Meta's chief product officer Chris Cox brushed aside such concerns and told news outlets, including AFP, that "social norms" would form around the use of smart glasses.

More recently, Meta has said a recording indicator light would always be visible to people nearby, and that tampering with the indicator light would disable the camera.

The company is reportedly working on a new pair of audio-only glasses, and has also been rumored to be developing a new generation of mixed reality glasses.

Meta has also been battling children's safety and privacy issues around the world.

In August, the company settled a lawsuit with dozens of attorneys generals in the US who accused Meta of violating state and federal laws regarding consumer protections and children's online privacy.

As part of the settlement, Meta agreed to pay up to $18 billion in fines and enact restrictions for teenagers.

Meta faces social media restrictions and bans for younger users around the world, as well as thousands of potential personal injury lawsuits in the US that are still making their way through state courts.


EU Fines Google 403 mn Euros for Location Data Breach

FILE PHOTO: A specially designed Google logo, during the opening of Google's new Artificial Intelligence (AI) centre in Berlin, Germany, March 5, 2026. REUTERS/Annegret Hilse//File Photo
FILE PHOTO: A specially designed Google logo, during the opening of Google's new Artificial Intelligence (AI) centre in Berlin, Germany, March 5, 2026. REUTERS/Annegret Hilse//File Photo
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EU Fines Google 403 mn Euros for Location Data Breach

FILE PHOTO: A specially designed Google logo, during the opening of Google's new Artificial Intelligence (AI) centre in Berlin, Germany, March 5, 2026. REUTERS/Annegret Hilse//File Photo
FILE PHOTO: A specially designed Google logo, during the opening of Google's new Artificial Intelligence (AI) centre in Berlin, Germany, March 5, 2026. REUTERS/Annegret Hilse//File Photo

Ireland's data protection watchdog, acting on behalf of the European Union, said Monday it had fined Google 403 million euros ($462 million) for improperly using users' location data, eight years after consumer groups complained.

The fine is the fourth largest imposed by the Data Protection Commission, the regulator said in a statement.

The DPC is responsible for overseeing Google at the European level because, like most tech giants, the company has its European headquarters in Ireland.

Google infringed the EU's General Data Protection Regulation between May 2018 and February 2020, the DPC said.

In its final decision after opening an inquiry in February 2020, the watchdog ruled that Google infringed GDPR "in respect of the lawfulness and fairness of its processing of location data in web and app activity and location history".

DPC deputy commissioner Graham Doyle said "as a result of Google's failures... individuals could have been unaware that their location was being used to, for example, influence them with ads or to infer their interests".

He added that "the retention of users' location data for longer than necessary aggravated this loss of control".

Alongside the fine, the regulator said it had ordered Google to comply with the European Union's GDPR within six months.

In response, Google said the "case centres around historical policies that have since been updated".

"From 2019 onwards, we've significantly evolved our practices and launched robust tools that make managing location data simple," the company added in a statement.

- 'Harmful late enforcement' -

In November 2018, the DPC received coordinated complaints from European consumer organisations in the Czech Republic, Denmark, Greece, the Netherlands, Norway, Poland, Slovenia and Sweden.

European Consumer organisation BEUC, which brought together the groups, called Monday's ruling "an important decision, close to eight years after a series of complaints" were lodged against Google.

"The decision is good news for consumers, as it holds Google accountable and confirms the illegality of the way the tech giant obtained consent to use peoples' location data," BEUC director general Agustin Reyna, said in a statement.

"However, the time needed to come to this conclusion is disproportionate with the seriousness of the infringement.

"Late enforcement can be as harmful as no enforcement at all. Consumers' fundamental rights need to be upheld faster and better," he added.

BEUC described geolocation data as "one of the most invasive forms of commercial surveillance because it reveals all kinds of sensitive information about us, such as our religious beliefs, our health condition, our political opinions or our sexual orientation".

Google is the subject of three other DPC investigations -- all "at an advanced stage" -- according to the regulator.

These include proceedings opened in September 2024 to determine whether the company is liable for failing to conduct an impact assessment regarding the use of Europeans' personal data to train Google's artificial intelligence.

The largest DPC fine was imposed on Facebook owner Meta in 2023 -- 1.2 billion euros for transferring data to the United States.