Kholoud Hussein 

In today’s hyper-competitive global economy, building a billion-dollar company—known as a unicorn—once required decades of persistence, massive capital, and a fair share of luck. But the rise of Artificial Intelligence (AI) has completely changed the rules. Startups that leverage AI effectively can cut years off their growth trajectory, scale at unprecedented speed, and attract investor attention like never before.

This blog explores how AI is transforming early-stage startups into unicorns in record time, highlighting key strategies, valuable tips, and key pitfalls to watch out for.

1. Automate to Accelerate

One of the greatest advantages AI gives startups is the ability to automate repetitive, costly, or time-consuming processes. Customer support chatbots, AI-driven marketing campaigns, predictive analytics for inventory—these are no longer optional extras but core competitive tools.

Tip: Identify your biggest operational bottlenecks and deploy AI tools to remove them. Every task AI takes over frees up human capital for innovation and growth.

2. Build Products That Learn

Unlike traditional software, AI-powered products improve with time and data. This self-improving nature makes them far more attractive to investors, who see compounding value. Think of Grammarly, which learns from billions of writing corrections, or fintech apps that continuously refine fraud detection.

Tip: Design your product around feedback loops. The more data your users generate, the smarter—and stickier—your solution becomes.

3. Attract Venture Capital Like a Magnet

Investors are pouring billions into AI startups. According to PitchBook, global VC investment in AI surpassed $80 billion in 2023, with valuations often skyrocketing based on market potential rather than revenue. If your startup positions itself at the intersection of AI and a high-growth industry (healthcare, logistics, cybersecurity), you’re automatically more appealing to capital.

Tip: Frame your pitch not only around what your product does, but also how AI makes it exponentially better than any competitor.

4. Global Scalability, Faster

AI removes geographical limits. A SaaS startup that integrates AI recommendations can serve millions of users globally without requiring a massive investment in human resources. Generative AI platforms like OpenAI and Stability AI scaled internationally in record time, driven by viral adoption and global demand.

Tip: From day one, build with international users in mind. AI allows you to customize experiences for different markets (languages, cultural nuances) at scale.

5. Data Is Your Goldmine

Every unicorn today—from TikTok to Stripe—relies on data. But AI turns raw data into real-time insights and predictions. Startups that harness data effectively can forecast demand, personalize customer experiences, and optimize pricing strategies instantly.

Tip: Don’t wait until you have millions of users to build your data strategy. Start early, collect clean data, and make it central to your growth engine.

6. Lower Costs, Higher Margins

AI allows startups to operate with leaner teams and lower overhead. An AI-driven customer acquisition funnel can replace expensive marketing agencies. AI-enabled product development accelerates time-to-market, allowing startups to outpace incumbents.

Tip: Reinvest cost savings into R&D and growth. Lean operations are not just efficient—they’re a signal to investors that your business can scale profitably.

7. Beware the Hype Trap

While AI is powerful, not every startup that sprinkles AI jargon becomes a unicorn. Many crash due to overpromising or underdelivering. Founders must balance vision with execution.

Tip: Be transparent with what your AI can actually deliver. Investors and customers will forgive limitations, but they won’t forgive false claims.

Finally, AI is no longer just a technology—it’s a growth accelerant. By automating operations, scaling globally, unlocking data value, and attracting investor capital, AI gives startups an unfair advantage in reaching unicorn status faster than ever.

For founders, the message is clear: AI isn’t just part of the strategy—it should be the strategy. Those who master it will not only join the unicorn club but may rewrite the very definition of speed and scale in entrepreneurship.

Shaimaa Ibrahim 

As Saudi Arabia’s food technology sector continues to evolve at a rapid pace, Calo has emerged as a leading success story. The company has effectively combined innovation with nutrition, redefining the way personalized, ready-to-eat meals are delivered and consumed.

Calo was founded with a clear mission: to make healthy living simpler. By leveraging artificial intelligence and advanced supply chain systems, the company offers daily, customized meals tailored to individual needs. What started as a bold idea in the Kingdom has grown into a fast-scaling regional player, now expanding into major European markets.

The company recently secured $64 million in a significant funding round, marking a key milestone in its growth. This was followed by the acquisition of two well-known UK-based health food brands, highlighting Calo’s global ambitions. With plans to list on the Saudi stock exchange, the company is well positioned to accelerate its international expansion.

In this exclusive interview, Sharikat Mubasher speaks with Ahmed Al Rawi, Co-founder and CEO of Calo, about the company’s origin, the challenges it has faced, and its long-term vision. He also offers insights into the current state of the food tech sector in Saudi Arabia and the key opportunities shaping innovation and entrepreneurship in this dynamic industry.

Can you tell us about the inception of Calo in the Saudi market and the founding vision that has driven the company’s journey since its launch?

Calo was born out of a simple observation: people want to eat healthy and personalized meals, but most don’t have the time or energy to prepare them daily. Our founding vision was clear — to make healthy easy. We launched in Saudi Arabia because we believed the Kingdom would be an ideal environment to grow this model, given the increasing awareness around health and fitness. From day one, our focus has been on personalization powered by technology and building a vertically integrated model that delivers a world-class experience starting from Riyadh.

Following your successful $64 million funding round, how does Calo plan to deploy this capital to diversify its product portfolio and accelerate its growth trajectory?

We are humbled by the strong investor interest in our Series B extension. This capital will be deployed across three main levers:

• Product expansion: introducing new segments such as athlete-focused macro personalization, premium “Chef’s Picks,” and a healthy CPG line.
• Geographic scaling: expanding both within Saudi Arabia and internationally, including our recent entry into the UK and Oman.
• Innovation and AI: investing in personalization technology and AI-driven customer experiences to ensure that the customer remains at the heart of everything we do.

What are the key markets in which you operate, and what is the current size of Calo’s customer base? How is this customer base distributed geographically?

Calo currently operates in Saudi Arabia, the UAE, Bahrain, Kuwait, Qatar, and the UK, with a recent launch in Oman where over 10,000 customers are already on the waiting list. Across these markets, we now serve hundreds of thousands of customers, with Saudi Arabia remaining our largest market.

How many retail outlets does Calo currently operate, and what are your near-term plans for opening new locations?

We now operate over 10 retail outlets across the GCC, including hospital-based locations, and we are committed to opening new sites every quarter. Our strategy is to complement our digital subscription model with physical locations that increase accessibility, enhance brand visibility, and allow for new customer touchpoints.

Calo reported over 50% year-on-year growth in the first half of 2025. What were the primary drivers behind this impressive performance, and how do you intend to sustain this momentum for the rest of the year?

Our growth has been driven by three main factors:

1. Segment diversification — expanding our offerings to athletes, lifestyle-focused customers, and clean-eating enthusiasts.
2. Localization — appointing General Managers in each market, giving us deeper customer understanding and stronger execution.
3. Brand strength — our positioning as the go-to personalized meal subscription in the region continues to build trust and loyalty.

Looking ahead, we will continue to double down on customer experience, expand our footprint, and embed personalization even more deeply into every interaction.

You recently acquired leading UK food brands such as Fresh Fitness Food and Detox Kitchen. What strategic goals do these acquisitions aim to achieve, and how will they strengthen Calo’s presence in the UK market?

Our acquisitions of Fresh Fitness Food and Detox Kitchen were strategic moves to accelerate our UK entry. Both brands came with strong teams, supply chains, and customer trust. The integration allowed us to bring Calo’s operational excellence and technology while respecting the DNA that made these brands successful. This dual approach strengthens our presence in the UK by combining local expertise with Calo’s mission and innovation.

What role do you believe AI plays in transforming the food technology industry, and how is Calo leveraging this technology to enhance its services and improve the customer experience?

AI is redefining what personalization means in food. At Calo, we are piloting Calo Black, an AI-powered private chef experience that uses natural conversation to capture nuanced preferences and generate personalized daily menus. Beyond the customer interface, AI is embedded across our workflows — from menu optimization to supply chain efficiency — making us faster, leaner, and more customer-centric. Ultimately, AI will help us bring our mission of “making healthy easy” to life at scale.

What are Calo’s plans for further geographic expansion within Saudi Arabia and internationally? Are there any upcoming partnerships or product launches you can disclose?

In Saudi Arabia, we continue to deepen our footprint with new retail outlets and partnerships such as our collaboration with Armah Sports. Internationally, we are scaling operations in the UK, Oman, and evaluating other markets where we see strong demand. On the product side, we are preparing to launch our own line of healthy CPG products as well as expanding into on-demand delivery to meet customers across more occasions.

As Calo prepares for its public listing on the Saudi stock exchange, what are the key objectives of this move, and how will it support the company’s future growth and expansion?

Our planned IPO is an important milestone. It reflects our ambition to cement Calo as one of the Kingdom’s leading consumer-tech success stories while giving us access to capital markets to fuel further global expansion. Beyond financial growth, a public listing will deepen our transparency, governance, and ability to attract top talent as we scale globally.

How do you evaluate the current state of the food tech sector in Saudi Arabia? What major opportunities do you see, and what advice would you offer to entrepreneurs looking to enter this space?

Saudi Arabia is one of the most exciting markets globally for foodtech. Rising health awareness, strong digital adoption, and government support for innovation create immense opportunities. For entrepreneurs, my advice is simple:

• Obsess over the customer — build around real needs, not assumptions.
• Invest in local expertise — talent that understands the culture and customer is your greatest asset.
• Balance speed with sustainability — rapid growth is exciting, but thoughtful execution builds long-term success.

 Above all, never lose sight of your core mission. Expansion and innovation should strengthen your identity, not dilute it.


 

Ghada Ismail

Every founder dreams big. Maybe you want to build the next unicorn, shake up an entire industry, or just prove the doubters wrong. We spend endless hours chasing product-market fit, pitching investors, and running growth experiments. But here’s the uncomfortable truth: none of it matters if your startup can’t survive its first real storm.

And storms will come. That’s where crisis management—an unglamorous but vital skill—quietly decides whether a startup folds or fights through.

The Crisis You Don’t See Coming

Startups rarely die from the challenges we expect. It’s the curveballs that sting. A regulator rolls out new rules that wreck your business model. An investor pulls out right before payroll. Your product crashes just as your first big wave of users arrives. Veteran founders know this. They don’t waste energy pretending crises won’t happen. Instead, they prepare, because preparation beats panic every time.

Why Founders Don’t Talk About It

Let’s be honest: talking about crisis planning doesn’t sound positive. It feels like admitting weakness. Founders prefer to pitch bold visions, not “what if everything breaks?” scenarios. But the thing is, investors and teams don’t expect perfection; they expect adaptability. A founder who says, “Here’s what could go wrong, and here’s how we’ll handle it,” isn’t sowing doubt. They’re building trust.

Building Your Startup’s “Crisis Muscle”

You don’t have to wait for chaos to test you, but you can train for it in the following ways:

1. Scenario mapping. Write down your top “nightmare” risks. For each, note warning signs, who acts first, and what immediate moves you’d make. That’s your crisis textbook.
2. Cash contingencies. Know your minimum runway. Keep an emergency cash reserve that you can fall back on when things go wrong, like a sudden drop in sales, a lawsuit, or a supply chain problem. This safety net gives your startup breathing room to survive a crisis and plan the next move. Founders who survive downturns usually made financial discipline a habit long before.
3. Communication protocols. Don’t wing it when bad news hits. Decide now how you’ll brief your team, investors, and customers. One clear, honest message beats a dozen scattered ones.
4. Be Ready to Pivot. A crisis can reveal weaknesses in your business model. Use it as a chance to adapt, whether that means adjusting your pricing, changing suppliers, or targeting a new customer group.
5. Prepare your employees for the worst. Run “what if” rehearsals with your team and prepare them for different scenarios. What if the platform goes down for 48 hours? What if your biggest client walks? This protocol can save your company later.

Crises Can Spark Breakthroughs

Crises are tough, but they can also open new doors. In Saudi Arabia, startups like HungerStation and Jahez used the disruption of COVID-19 to adapt fast and secure their lead in the market.

The bottom line: a crisis might show you what’s broken, but it can also point you to opportunities you wouldn’t have noticed otherwise.

To Wrap Things Up…

Vision gets people excited to join your journey. Resilience keeps them there when the dream feels shaky. You don’t need to obsess over every disaster scenario, but you do need a framework for how you’ll respond when—not if—the storm comes.

Think of crisis management as founder insurance. Not the glamorous part of the job, but the part that keeps your dream alive. That’s how you build a startup that doesn’t just grow fast, but rather lasts.

Noha Gad 

The e-payments have become the backbone of modern commerce as they enable everything from online shopping and bill payments to peer-to-peer money transfers and business-to-business transactions. The adoption of e-payments has surged in recent years thanks to their convenience, speed, and security features, such as tokenization and biometric authentication. Both businesses and consumers benefit from the ability to make instant or near-instant payments anytime and anywhere with minimal friction, setting the foundation for a cashless economy. 

Voice payments emerged as one of the latest innovations in the broader e-payments ecosystem. They allow users to perform financial transactions simply by speaking commands to voice-enabled devices like smartphones, smart speakers, or virtual assistants such as Amazon Alexa, Google Assistant, and Apple Siri. 

Voice payments leverage artificial intelligence (AI), natural language processing (NLP), and voice recognition to interpret spoken instructions, authenticate users, and process payments seamlessly without the need for physical interaction with devices. By saying commands, users can enjoy a faster, more convenient, and hands-free transaction experience.

This type of payment integrates with payment gateways and banks behind the scenes to complete these transactions securely, often using voice biometrics and multi-factor authentication to ensure safety.

How do voice payments work?

To conduct financial transactions via voice, users must follow few steps:

       *Activation: users activate their voice assistant by saying a wake word or opening a voice payment app and tapping the microphone button.  

       *Instruction: the user clearly states their payment command, specifying the action, the recipient, and the amount to be paid or transferred.

       *Voice recognition and processing: The voice assistant captures the spoken command and converts it into text using voice recognition technology. NLP algorithms then interpret the intent and details of the transaction.

       *Authorization: The assistant securely communicates with the user’s linked financial accounts to authorize the transaction. 

       *Authentication: Security steps, such as voice biometrics, passcodes, or multi-factor authentication, may be required.

       *Transaction processing: Once authorized, the payment instructions are transmitted to the payment service provider, which verifies the details and transfers the funds between accounts.

       *Confirmation: The user receives confirmation via voice feedback or on-screen notification.

Although voice payments offer great convenience and innovation in the digital payment space, they also come with several significant challenges and concerns that must be addressed for widespread adoption and trust. This includes:

       *Security risks. The risk of unauthorized transactions grows, as voice commands can be accidentally or maliciously triggered on voice-enabled devices.

       *Privacy. Voice payment systems collect sensitive data, including voice recordings and biometric profiles. Thus, protecting user privacy through secure storage, encryption, and adherence to data protection regulations is critical.

       *Accuracy. Voice recognition still faces challenges regarding accuracy, especially in noisy environments or with diverse linguistic accents and speech patterns.

       *Integration and standardization. The lack of universal standards makes it difficult to integrate voice payments across different devices and platforms. 

Future outlook

The future of voice payments is promising, driven by the rapid growth and transformative innovations that are expected to reshape the way consumers and businesses make financial transactions.  The voice payments market is expected to grow significantly, driven by key trends, including advanced biometric authentication, AI-powered personalization, and the integration of blockchain technology.

With the rising popularity of voice assistants and smart devices, along with consumers’ increasing comfort with voice commands, voice payments are expected to become an integral part of daily financial activities. This shift reflects a broader trend toward more natural, seamless, and user-friendly interactions in digital commerce. 

As voice payment technology matures, it will offer unprecedented convenience, enabling users to conduct transactions with simple spoken commands anytime and anywhere. Businesses and financial institutions are poised to leverage these technologies to streamline payment processes, reduce friction, and engage consumers more effectively.

Finally, voice payments are set to become a mainstream, trusted method of payment, fundamentally changing the way society conducts financial exchanges in the upcoming years.

Kholoud Hussein 

In the evolving landscape of global entrepreneurship, a new breed of companies is taking center stage: AI-first startups. Unlike traditional businesses that adopt artificial intelligence as an enhancement or add-on, AI-first startups are built on the premise that artificial intelligence is not just a tool but the very foundation of their business models. These startups are not simply using AI to optimize; they are reimagining entire industries by placing algorithms, data, and machine learning at the core of their value proposition.

What Makes a Startup “AI-First”?

The distinction between AI-enabled and AI-first is subtle yet transformative. An AI-enabled company might apply machine learning to streamline existing processes, such as automating customer service or improving logistics. An AI-first company, however, is designed with AI as its primary engine of value creation. Its products and services would not exist without AI capabilities—whether it’s predictive healthcare platforms that detect diseases before symptoms emerge, or financial tools that automate lending decisions in real time.

This orientation requires more than just technology adoption; it demands a mindset shift. Founders of AI-first startups begin by asking, “What problem can AI solve that humans alone cannot?” From there, the business model, operational structure, and customer interactions are built around the unique strengths of artificial intelligence.

The Competitive Edge of AI-First Models

Placing AI at the center offers several advantages. First, AI-first startups benefit from exponential scalability. Algorithms learn, improve, and adapt at a speed no human team can match, making it possible to handle vast data volumes and complex decisions with minimal incremental costs.

Second, these companies often create high barriers to entry. Proprietary data sets, refined models, and constant feedback loops mean that competitors without the same AI infrastructure face difficulty catching up. Consider the healthcare AI startup that trains on millions of patient records; its predictive accuracy becomes more robust over time, creating defensible value.

Third, AI-first startups are positioned to unlock entirely new markets. In sectors like education, AI tutors can scale personalized learning experiences to millions of students simultaneously. In agriculture, machine-learning models enable precision farming that boosts yields while conserving resources. In finance, algorithm-driven startups are redefining credit scoring, wealth management, and fraud detection.

Challenges on the AI-First Journey

Yet the AI-first path is far from frictionless. Building such companies demands heavy upfront investment in data infrastructure, talent, and computational resources. Unlike conventional startups that can bootstrap with minimal technology, AI-first ventures often require specialized machine learning engineers and access to high-quality datasets—both of which are scarce and costly.

Moreover, questions around trust and transparency loom large. Customers, regulators, and investors increasingly demand explainable AI. Startups that fail to demonstrate ethical standards risk reputational damage and regulatory pushback. Data privacy and security are also paramount, as breaches or misuse can dismantle consumer confidence overnight.

Another challenge lies in the talent war. Skilled AI professionals are among the most sought-after globally, and early-stage companies must compete with tech giants that can offer far greater compensation. Startups that succeed often do so by creating mission-driven cultures that attract talent motivated by the impact they can make, rather than salary alone.

Why Investors Are Paying Attention

Despite challenges, investors are flocking to AI-first startups. The global surge of funding into generative AI is a testament to the belief that these companies will shape the next decade of innovation. For venture capitalists, the appeal lies in the asymmetry of outcomes: the potential to back companies that can dominate entirely new categories.

A McKinsey report estimates that AI could contribute up to $4.4 trillion annually to the global economy. Startups that position themselves at the frontier of this transformation stand not only to capture market share but also to dictate the rules of new industries.

The Future Belongs to the AI-First

As industries across the world digitize, the difference between surviving and thriving may come down to how deeply companies embed artificial intelligence into their DNA. AI-first startups are not waiting for incumbents to lead the way; they are rewriting the script entirely.

For founders, this represents both an opportunity and a responsibility: to leverage AI in ways that solve real-world problems, create equitable growth, and maintain trust. For investors and policymakers, the rise of AI-first startups signals a paradigm shift—one where the most valuable companies of the future may not just use AI but will exist because of it.

Noha Gad

In the heart of the Middle East, Saudi Arabia is positioning itself as a global logistics hub, supported by strong government backing, extensive infrastructure development, and ongoing reforms in laws and regulations. The National Industrial Development and Logistics Program (NIDLP) aims to enhance the performance of logistics hubs and improve local, regional, and international connectivity across trade and transport networks, leveraging the Kingdom’s strategic location as the crossroad of three continents.

Tech-powered platforms like Salasa are revolutionizing traditional logistics by integrating advanced digital tools with deep market expertise, redefining speed, transparency, and operational efficiency.

As one of the leading e-commerce fulfillment platforms in Saudi Arabia, Salasa connects businesses to a sophisticated fulfillment network, turning complex logistics into seamless customer experiences.

To explore this transformation, Sharikat Mubasher interviewed Salasa’s founders, Hasan Alhazmi and Abdulmajeed Alyemni, to learn more about the platform’s business model, innovative offerings, and its role in transforming the logistics industry in Saudi Arabia.

Alhazmi, who also serves as Salasa’s CBO, shared insights into the platform’s evolution from a 3PL delivery provider to the logistics partner of choice for over 1,000 merchants, having fulfilled and shipped more than 50 million products domestically and internationally since inception.

First, what motivated you to establish Salasa? And what are the key logistics challenges that the platform addresses? 

Salasa began as a simple 3PL company delivering e-commerce orders by car and motorcycle. When one of our clients faced challenges with picking and packing, we stepped in to handle it. That light bulb moment revealed a clear opportunity: fulfillment could be offered as a dedicated service. My partner and I left our jobs at the time to build that model from the ground up.

From those first few shipments, we have grown into a network that has fulfilled over 50 million products, built on the belief that merchants should be able to scale without being weighed down by operational complexity. Today, our high-speed dark stores and mega fulfillment centers solve the exact pain points we saw in those early days: slow delivery times, fragmented courier options, and the cost burden of running in-house logistics. We combine that infrastructure with smart technology to give merchants what they need most: speed, reliability, and the ability to grow without limits.

How did Salasa enhance its products and services to transform the e-commerce logistics industry in Saudi Arabia? 

We are focused on building an infrastructure and technology ecosystem that work seamlessly together. 

On the physical side, we expanded to 15 dark stores and three mega fulfillment centers, ensuring we can reach the majority of customers in Saudi Arabia within hours, not days. 

On the technology side, we are rolling out solutions that automate courier selection, further optimize delivery routes, detect upcoming merchant campaigns, and predict inventory needs based on demand trends.

These tools will give merchants more control and visibility. No more guesswork. Merchants can track their orders in real time, anticipate stock needs, and respond to demand spikes with confidence. Over time, this combination of speed, transparency, and flexibility will raise the bar for what merchants expect from a logistics partner in the region.

How does Salasa uphold exceptional customer experience and operational excellence as it scales? 

Operational excellence at Salasa is embedded in every process we design. Our systems are built to minimize errors, cut delivery times, and ensure clear communication at every stage, with tools like voice AI proactively confirming pickups and deliveries for seamless coordination. 

As we scale, we avoid the common drop in service quality by investing heavily in technology and monitoring, staying close to the market, and listening to our customers. By identifying gaps, addressing bottlenecks, and acting quickly on feedback, we maintain the reliability merchants depend on and the on-time delivery customers expect, every single time.

For his part, Co-founder and CEO Alyemni shared more about the company’s growth strategy and his thoughts about the future of the logistics and e-commerce landscape in Saudi Arabia and the wider region. 

You successfully raised a $30 million Series B round. What motivated investors to invest in Salasa? And how will this fresh capital support your expansion plans?

Investors were drawn to Salasa because we have proven the model at scale. Salasa is not a gamble; it is a winning bet. We have built one of the fastest fulfillment networks in the region, backed by a proprietary tech stack that is actively redefining how e-commerce logistics operates. We have shown consistent growth, high merchant retention, and an ability to expand without compromising service quality.

This new capital allows us to move faster on three fronts:

*Infrastructure – expanding our network to handle higher volumes and cover more geographies.

*Technology – accelerating the development of our tech stack, from smart courier routing to predictive inventory positioning and automated merchant workflows.

*Talent – bringing in specialized expertise to strengthen our capabilities in operations, technology, and market expansion.

The goal is simple: to scale without losing the precision and quality that define Salasa today.

What are the new markets or segments that Salasa targets as part of its growth strategy? 

We are pursuing growth in three main ways: 

First, by deepening our presence in Saudi Arabia, reaching merchants in every major city, and scaling infrastructure to handle growing order volumes.

Second, by expanding into select GCC markets where there is clear demand for tech-enabled fulfillment.

Third, by enabling cross-border trade (inbound and outbound), which allows local sellers to seamlessly reach customers in new international markets, while also enabling global brands to enter Saudi Arabia with faster, more cost-effective delivery.

Beyond geography, we are also broadening our service offering, monetizing our proprietary Order Management System (OMS), and introducing adjacent solutions like omni-channel inventory management, AI-powered product content optimization, and campaign recommendations. These expansions position Salasa to serve merchants end-to-end, whether their customers are across the city or across borders.

How do you see the logistics and e-commerce fulfillment landscape in Saudi Arabia and the broader GCC region? 

Logistics in the region is moving away from fragmented, courier-led models to integrated fulfillment. Strong economic growth and major infrastructure investments are accelerating that shift. With E-commerce trade surging, Saudi Arabia alone sees over 250 million shipments a year, and higher incomes and connectivity will push that number higher.

Merchants are also changing how they operate, focusing on building their brands and products, while leaving logistics to specialized, tech-driven partners like Salasa. This shift is raising the bar for speed, reliability, and visibility, turning logistics from a challenge into a competitive advantage.

In your opinion, what are the key trends and innovations that shape the Saudi logistics sector? And how can cloud-powered and data-driven technology transform this promising sector? 

There are three major trends shaping the sector right now. First is the rise of instant delivery. Same-day and even two-hour windows are becoming more common in urban centers. Second is the growth of cross-border e-commerce, which brings both opportunities and operational complexity. Third is the deeper integration of AI and automation into every logistics function.

Cloud-powered and data-driven systems are the enablers here. They let us unify operations that were once fragmented, including warehousing, courier management, and inventory positioning, and run them as a single, intelligent network. When you layer in AI, you can anticipate demand, route orders in the most cost- and time-efficient way, and even optimize how merchants present their products online. This is how logistics moves from being a cost center to being a driver of growth.

Ghada Ismail

We trust AI more than we realize. It’s in our phones, suggesting what to watch, in our cars helping us navigate, and in our offices automating tasks. Soon, it will be making even bigger decisions; about healthcare, finance, and how entire cities run.

But here’s the catch: can we trust it to always be fair, safe, and responsible? That’s where AI ethics comes in.

What Exactly Is AI Ethics?

At its simplest, AI ethics is about making sure we’re using AI in ways that benefit society without causing harm. Think of it as the rulebook—or at least the compass—that keeps this powerful technology heading in the right direction.

Some of the key ideas include:

• Fairness: Making sure AI doesn’t discriminate or reinforce bias.
• Transparency: Helping people understand how decisions are made, rather than leaving it all to a “black box.”
• Privacy: Protecting personal data so it isn’t misused.
• Accountability: Being clear about who is responsible when things go wrong.
• Safety: Ensuring systems are secure, reliable, and not open to abuse.

Why It Matters Now

AI is spreading fast, and the stakes are high. A poorly designed system can deny someone a loan, overlook a qualified job candidate, or spread misinformation at scale. Without trust, the benefits of AI could be overshadowed by public fear and resistance. Getting ethics right isn’t about slowing down progress, but rather about building AI people can actually rely on.

Why This Matters for Saudi Arabia

Saudi Arabia is aiming to be one of the world’s leading AI hubs, and ethics is a key part of that journey. With the Saudi Data and AI Authority (SDAIA) leading the charge, the Kingdom is working on frameworks that balance innovation with responsibility. As AI becomes embedded in smart cities, healthcare, finance, and beyond, ensuring it is ethical and transparent will be crucial for winning trust, both locally and globally.

What’s Next

This post only scratches the surface of a big conversation. AI ethics isn’t just theory, it’s about the choices we make today that will shape how we live tomorrow. In the next article, “Building Ethical AI in Saudi Arabia: Regulation, Innovation, and Responsibility,” we’ll take a closer look at how the Kingdom is putting these principles into action, the challenges it faces, and why getting it right could define Saudi Arabia’s role in the global AI race.

Noha Gad 

E-wallets have transformed the way people handle financial transactions as they provide a seamless and safe digital alternative to cash and physical cards. These wallets consolidate various payment methods, such as credit cards, debit cards, and bank accounts, into a single, user-friendly interface, offering users a convenient experience and enabling them to make purchases, transfer money, and manage finances swiftly through their smartphones or any other connected devices. This simplification of payments has significantly boosted consumer adoption worldwide, particularly in urban communities and developing economies where mobile connectivity is widespread.

The rise of e-wallets considerably contributed to reducing dependency on cash and traditional banking infrastructure, ultimately promoting financial inclusion, especially in regions with a large unbanked population. 

There are several types of e-wallets, each catering to different user needs and technological ecosystems. In this blog, we will dive deep into the five main types of e-wallets and how they meet the evolving needs of both businesses and end-users.

Types of e-wallets

Closed wallet

Closed wallets, also known as a power wallet, operate as a preloaded account used for specific products or services within a particular transaction, often linked to the issuer’s payment gateway. Businesses and organizations often issue closed wallets to their customers for making payments exclusively within their ecosystem. Users of a closed wallet can only use the stored funds to make transactions with the wallet’s issuer.

Semi-closed wallet

This type of wallet has a limited coverage area as it is accepted only within a specific network of merchants or service providers. Merchants must agree to partner with the issuer to accept payments from a semi-closed wallet.

The semi-closed wallets allow users to make transactions at various merchant outlets and enable peer-to-peer transfers; however, they cannot be used to withdraw cash or make payments outside the specified network.

Open wallet

Open wallets are offered by banks to be used for any type of transaction. Unlike closed and semi-closed wallets, this versatile digital payment tool allows users to store funds and transact across various merchants and platforms. Both sender and receiver must have the same application installed on their devices.

Open wallets offer convenience and flexibility, enabling users to make payments at any merchant accepting digital payments via that wallet.

Crypto wallet

Crypto wallets facilitate secure transactions using cryptocurrencies such as Bitcoin, Ethereum, and Litecoin. They store public and private keys required for initiating transactions on the blockchain network. The public key serves as an address where others can send cryptocurrency, while the private key is used to securely access and manage the stored funds.

Crypto wallets can be software-based (online or offline by using a USB stick) or hardware wallets that store the keys offline for enhanced security. Hardware wallets, also known as cold wallets, provide an extra layer of security and safety.

Internet of Things (IoT) wallets

The IoT wallets enable transactions between interconnected devices within the IoT ecosystem, allowing devices to exchange value and authenticate transactions seamlessly and securely.

This type is pivotal for various use cases, such as smart meters that facilitate automated utility payments, connected vehicles that enable in-vehicle payments, and supply chain tracking where devices interact to validate and record transactions.

Integration of emerging technologies into e-wallets

In recent years, the integration of emerging technologies, such as virtual reality (VR) and artificial intelligence (AI), has further reshaped the capabilities and user experience of e-wallets. 

AI has played a pivotal role in transforming the capabilities and user experience of e-wallets. Integrating AI tools can enhance e-wallets' security, personalization, and operational efficiency.

AI can contribute to enhancing fraud detection and prevention, providing personalized offerings, and helping users identify saving opportunities by analyzing their expenses. AI agents, virtual assistants, and chatbots are instrumental in elevating customer experience by providing 24/7 support, instantly answering queries, troubleshooting common issues, and guiding users through payment processes.

VR emerged as an innovative trend that enriches the retail and payment experience through an immersive digital environment. These technologies enable users to visualize products in virtual space and make instant purchases through their e-wallets without leaving the experience. 

VR can transform traditional e-wallet interfaces into interactive and visually rich experiences, making money management, bill payments, or fund transfers more engaging and less transactional.

Finally, e-wallets have revolutionized how consumers manage their financial transactions, offering a convenient and secure alternative to traditional cash and cards. By consolidating multiple payment methods into a single digital platform, e-wallets simplify payments and enable seamless money transfers, purchases, and financial management across diverse devices.

The integration of AI and VR into e-wallets can revolutionize social commerce and peer-to-peer payments within virtual worlds and redefine how consumers interact with e-wallets, blending convenience, security, and immersive experiences in the digital economy.

Kholoud Hussein

Saudi Arabia is attempting something few countries have tried at national scale: using law as a market-design tool to attract sovereign-grade data, compute, and corporate R&D while giving startups a safer, faster path to build with sensitive datasets. In April 2025, policymakers published for consultation the draft “Global AI Hub Law,” a framework that proposes special legal, technical, and governance regimes for AI “hubs” physically in the Kingdom but flexible enough to interoperate with foreign rules and hyperscaler standards. If enacted close to the draft, it could change where mission-critical AI gets trained, where high-value data sits, and where founders choose to launch. 

At its core, the draft law imagines a ladder of AI hubs, with different protection levels depending on the sensitivity of hosted data and workloads. This isn’t just about attracting cloud capacity. It’s a diplomatic and commercial instrument that enables foreign governments and multinationals to process data in Saudi Arabia under tailored arrangements while maintaining Saudi oversight.

Several legal analyses note the “beyond-borders” data sovereignty concept and the ambition to create a neutral legal environment for cross-border digital commerce and dispute resolution. In other words, Riyadh is trying to become a neutral ground for global AI compute and data flows.

Critically, the policy is not emerging in a vacuum. Over the last five years the Kingdom created supervisory institutions (notably SDAIA) and a national AI strategy; PwC estimates AI could add about $135 billion—roughly 12–12.4% of Saudi GDP—by 2030. The government has even articulated an explicit 12% GDP target for AI’s contribution. The draft Global AI Hub Law looks like the legal scaffolding to capture that upside at home rather than offshoring it. 

What the Law Proposes & Why Startups Should Care

The consultation text outlines a regime to license and govern AI hubs that can host “sovereign” or “semi-sovereign” data centers with contractual carve-outs for foreign states or firms. The point is continuity of service, clearer allocation of liability, and predictable compliance pathways for AI training and inference at scale. For startups, three implications stand out: access, trust, and time. 

• Access to premium datasets and compute: If foreign incumbents and public-sector owners are willing to warehouse sensitive data in Saudi-licensed hubs, curated data-sharing arrangements become more plausible. Startups that clear onboarding and compliance may win rights-restricted, auditable access to de-identified or synthetic derivatives of those datasets—unlocking model performance otherwise unattainable. The law’s emphasis on interoperability with external regimes could help founders sell into regulated verticals (health, finance, mobility) without re-architecting for each jurisdiction.
• Trust by design: The proposal bakes in governance, auditability, and security expectations that many enterprise buyers demand before piloting with young companies. For venture-backed founders, that reduces sales-cycle friction. It also lowers the “compliance tax” by aligning security baselines with large buyers’ requirements, potentially letting startups piggyback on the hub’s certifications rather than building redundant controls alone. 
• Time to market: If licensing and dispute-resolution are centralized and fast, contracting cycles shrink. Commentary around the draft law explicitly frames Saudi Arabia as a legal venue for AI-related disputes—signal to global players that enforcement will be practical. For founders, predictable dispute processes and choice-of-law clarity de-risk big-ticket partnerships.

The Capital and Infrastructure Backdrop: Why Timing Matters

The legal initiative dovetails with an investment super-cycle in Saudi AI infrastructure and venture capital. In 2025 the Kingdom launched HUMAIN—a state-backed AI enterprise and funder aiming to process ~7% of global AI workloads by 2030, underpinned by multi-billion-dollar compute and chip procurement plans from U.S. giants. 

This is not abstract: public reporting points to tens of billions in contracts and a roadmap for gigawatt-scale data centers. If that buildout proceeds, the country’s bottleneck won’t be GPUs so much as the rules and governance necessary to attract workloads that matter. That’s exactly the gap the Global AI Hub Law tries to fill.

On the venture side, Saudi Arabia led MENA VC in H1-2025, with roughly $860 million across 100+ deals—more than the Kingdom deployed in all of 2024—signaling both domestic and foreign appetite for Saudi tech exposure. While VC is cyclical, a legal framework that clarifies data rights, liability, and cross-border compliance could convert that financing momentum into durable product velocity for AI startups.

How Officials and Founders Are Framing the Moment

During LEAP 2025, Minister of Communications and Information Technology Abdullah Al-Swaha touted a pipeline of generative and autonomous AI applications and name-checked local companies—arguing that the Kingdom intends to be a “hub for generative AI, GenTech, and autonomous AI, powered by talent and technology.” The minister’s remarks underscore a policy mix that pairs capital with an open-for-business regulatory posture; the draft law is an institutional manifestation of that posture. 

Private-sector voices are leaning in. Intelmatix’s leadership, for example, has publicly connected recognition on the global stage with the company’s push to “push the frontiers of enterprise AI.” Founders in talent-tech and event-tech told local media in 2025 that Saudi’s ecosystem is creating unusual access to investors and customers; several described accelerated dealmaking and piloting cycles tied to the national tech agenda. Although these quotes aren’t about the law per se, they reflect a buyer’s market for startup solutions that a clear hub regime could amplify. 

From Vision 2030 to Sovereign AI

The Global AI Hub Law aligns with two strategic narratives. First, Vision 2030’s diversification thesis: national productivity gains and non-oil exports derived from data-intensive services. PwC’s long-running estimate—$135 billion in incremental GDP from AI by 2030—remains the headline figure used by both policymakers and investors to justify the spend. 

Second, the global “sovereign AI” trend: countries seeking domestic control over compute, data, and critical models. If Saudi Arabia can offer a legally neutral, operationally excellent venue for allies to compute on their data—while maintaining domestic oversight—then Riyadh becomes a node in allied AI supply chains, not just a buyer of chips. 

What Founders Should Do Now

• Design for the hub: Startups should map draft compliance requirements to their current controls: data lineage and provenance; model documentation; bias and safety testing; and incident response. The more a product can “snap into” a hub’s governance, the faster enterprise procurement will go once the regime is live. Legal analyses suggest hubs will differentiate by data sensitivity tiers; products that support tier-appropriate controls (e.g., confidential computing; KMS segregation; privacy-preserving learning) will be advantaged. 
• Target regulated verticals early: If the law lands close to the consultation version, AI work in fintech, health, logistics, and government services should be first to benefit. For example, remarks at LEAP referenced healthcare robotics and decision-intelligence deployments; hub licensing that clarifies cross-border data access could multiply such proofs of concept across providers and agencies. Founders building to these buyers should invest in audit-readiness and model cards now.
• Leverage capital-infrastructure synchronicity: HUMAIN, hyperscaler partnerships, and giga-watt build-outs create new buyer surfaces: data-center operators, sovereign cloud platforms, and national-scale integrators. Those actors will need privacy tech, tooling for model evaluation, and MLOps hardened for regulated contexts. A startup that slots into these buyers’ roadmaps can ride procurement waves—especially if it can demonstrate hub-aligned compliance artifacts. 
• Tell a compliance story investors can underwrite: VC sentiment tracks risk clarity. The MENA venture data from H1-2025 shows a return of later-stage checks; pairing product metrics with a credible plan to navigate hub rules could convert more term sheets. Investors know regulatory moats can be real moats. 

Risks, Unknowns, and the Path to Impact

This is still a draft. Key uncertainties include how “foreign legal regime” carve-outs will be validated and supervised; how liability is apportioned among hub operators, tenants, and application developers; and the duration and scope of any safe harbors for experimentation. There’s also the geopolitics of data localization: how will the regime interoperate with EU GDPR, U.S. sectoral rules, or Asian data-transfer constraints? Early commentary suggests the drafters anticipate these issues, but the proof will be in secondary regulations and intergovernmental MOUs. 

Another risk is over-reliance on physical scale—chips, megawatts, and square meters—without the human capital to operate within higher-tier hubs. Here, the government’s messaging emphasizes talent pipelines and women’s participation gains in tech (from 7% in 2018 to 35% in 2024), which, if sustained, would improve the labor supply for hub tenants and their startup suppliers. But talent competition is global, and retaining senior ML engineers is a challenge everywhere. 

Ultimately, capital cycles can shift, and oil revenue volatility can challenge public investment promises. Yet the Kingdom’s recent AI investment announcements and the creation of HUMAIN indicate a long-term, strategic posture. If the law can import external demand (sovereign datasets and foreign R&D) alongside domestic investment, revenue diversification improves the regime’s resilience. 

A Realistic Startup-Sector Outlook

If enacted with clear implementing rules and transparent licensing, the Global AI Hub Law would likely have three near-term effects on the Saudi startup landscape:

1. Bigger, earlier enterprise pilots. Ministries, SOEs, and multinationals operating in Saudi Arabia would gain a home jurisdiction to try higher-stakes models and data combinations. That shortens pilots and expands purchase orders for local startups that can meet hub standards. Founders at 2025 events already described unusual access to investors and customers—a dynamic the hub regime should amplify. 
2. Stronger founder narratives for export. A startup that survives procurement and compliance in a high-tier Saudi hub can market that pedigree abroad. For enterprise buyers, compliance is a proxy for reliability. Legal analysts observing the draft have underscored its novelty in reconciling sovereignty with interoperability—a positioning foreign buyers may find compelling. 
3. Thicker middle-layer tooling markets. Expect demand for audit, evals, red-teaming, and privacy-preserving compute to surge. These aren’t sideshows; they’re the glue that makes regulated AI stackable. Local founders who specialize here can become acquisition targets for hyperscalers and sovereign cloud providers active in the Kingdom. 

Meanwhile, venture funding momentum and marquee infrastructure commitments should keep top-of-funnel opportunities flowing. Reports through mid-2025 show the Kingdom leading regional VC by dollars and deals, while the LEAP platform is still announcing multi-billion-dollar AI commitments. If the law tightens the link between that capital and compliant, data-rich workloads, the flywheel for Saudi startups could spin faster. 

Finally, the Global AI Hub Law is not just another digital policy. It’s an operating manual for a new kind of economic zone—one organized around data sovereignty, compute intensity, and cross-border legal interoperability. For founders, it promises clearer rules, faster enterprise access, and a shot at privileged datasets—provided they build for governance from day one. 

For the Kingdom, it’s the missing legal layer that could connect ambitious infrastructure plans and generous capital with the kind of high-value AI activity that actually moves GDP. If Saudi Arabia can deliver credible licensing, transparent oversight, and trusted dispute resolution, it will not merely host the AI economy—it will help define its rules. 

Kholoud Hussein 

Not so long ago, businesses operated as mostly self-contained entities. Their systems, data, and processes existed in silos, rarely shared with outsiders. In today’s digital-first economy, that model looks increasingly outdated. The companies thriving today are those that not only build great products but also connect seamlessly with others through APIs.

Welcome to the API Economy — a new business paradigm where application programming interfaces (APIs) are not just technical tools but economic enablers, opening new revenue streams, fueling innovation, and reshaping entire industries.

Much like how Software-as-a-Service (SaaS) revolutionized how businesses consume software, the API Economy is transforming how companies interact, partner, and scale in the digital marketplace.

What is the API Economy?

At its simplest, an API is a digital bridge: a standardized way for two applications to communicate and exchange data. The API Economy refers to the commercial ecosystem that emerges when businesses expose or consume APIs to create value.

Think of APIs as building blocks. They allow companies to integrate payment systems, logistics services, weather data, social media feeds, or even AI models into their platforms without reinventing the wheel.

For example:

• A travel startup can integrate flight data and hotel booking APIs.
• A fintech app can connect instantly to payment gateways or identity verification services.
• An e-commerce platform can plug into logistics and delivery APIs to streamline operations.

These connections are not just technical conveniences; they’re now core to competitive strategy.

Why the API Economy Matters for Startups

For startups, APIs represent both an opportunity and a survival strategy.

1. Faster Innovation
Instead of building everything in-house, startups can use APIs to stitch together best-in-class services. This accelerates time-to-market and lets them focus on what truly differentiates their product.

2. Lower Costs
APIs eliminate the need for expensive infrastructure or proprietary solutions. A small team can launch a global app by tapping into APIs for payments, messaging, and analytics.

3. Ecosystem Leverage
Startups can integrate directly into the ecosystems of larger players. For instance, by connecting to Stripe or PayPal APIs, a startup immediately plugs into global payment networks.

4. New Revenue Streams
It’s not just about using APIs — startups can also offer APIs. By opening up their own services to third-party developers, startups can create entire ecosystems around their platforms, generating revenue and adoption simultaneously.

Examples of API-Led Transformation

• Fintech: APIs enable real-time banking, mobile wallets, and open banking models.
• E-commerce: APIs power recommendation engines, shipping integrations, and inventory syncing.
• Healthtech: Secure APIs allow hospitals and apps to exchange patient data in compliance with regulations.
• Social Media: Entire businesses are built on APIs that allow integration with Facebook, Instagram, or TikTok.

In each case, the API is not just a technical connector — it’s the business enabler that makes new models possible.

Challenges in the API Economy

Like any new paradigm, the API Economy brings risks and trade-offs:

• Security Risks: Poorly secured APIs can expose businesses to cyberattacks and data leaks.
• Dependency: Overreliance on third-party APIs can create vulnerabilities if providers change pricing, terms, or shut down services.
• Quality & Reliability: The success of a product may hinge on the stability of APIs outside the startup’s control.

Startups need clear strategies for API selection, vendor diversification, and data governance to mitigate these risks.

The Bigger Picture

The API Economy is more than a technical trend; it’s becoming the infrastructure of digital business. Just as electricity grids powered the industrial economy, APIs now power the digital one — invisible, essential, and everywhere.

For startups, the lesson is straightforward: agility and growth increasingly depend on how well you can connect, integrate, and collaborate through APIs. Those who master the API Economy are not just faster to market — they are better positioned to scale globally, innovate continuously, and embed themselves into the networks of the future.

In short, APIs are currency in the digital economy.

Kholoud Hussein 

For much of its history, artificial intelligence was an elite technology — the preserve of deep-pocketed corporations and advanced research labs. Building an AI model from the ground up required vast datasets, specialized hardware, and teams of highly skilled engineers and data scientists. For a startup working with tight budgets and even tighter timelines, AI was often an unattainable dream.

That landscape is changing fast. AI-as-a-Service (AIaaS) is rewriting the rules, allowing companies to rent advanced AI capabilities from cloud-based platforms, much as they would subscribe to software through Software-as-a-Service (SaaS). Instead of spending months — or years — developing proprietary systems, startups can plug directly into pre-trained models, scale them on demand, and pay only for the computing power and services they use.

This shift is democratizing access to one of the most transformative technologies of our time — and giving young companies a fighting chance to compete with established industry giants.

What is AI-as-a-Service?

At its core, AIaaS is the delivery of artificial intelligence functions via the cloud, on a subscription or pay-per-use basis. The services can include:

• Machine Learning Platforms for training predictive models.
• Computer Vision APIs for object detection, image recognition, and video analytics.
• Natural Language Processing (NLP) for chatbots, sentiment analysis, and language translation.
• Generative AI Tools that produce text, images, audio, or code based on user prompts.

These capabilities are offered by major cloud providers, such as Amazon Web Services, Microsoft Azure, and Google Cloud, as well as by specialized AI companies targeting niche needs.

For startups, the appeal is clear: instead of investing heavily in infrastructure and talent, they can integrate AI through a few lines of code and focus their limited resources on innovation, customer acquisition, and scaling.

Why AIaaS Matters for Startups

Startups thrive on speed, adaptability, and the ability to outperform their competitors. AIaaS directly supports these priorities in several ways:

1. Lower Barriers to Entry
Traditional AI development demands substantial capital, technical expertise, and time. AIaaS reduces these barriers by providing ready-made solutions that even non-technical teams can integrate into their products.

2. Faster Time-to-Market
A startup building a voice recognition feature or a fraud detection system can implement AIaaS in weeks rather than months or years, enabling them to launch features rapidly and iterate based on user feedback.

3. Scalability
AIaaS operates on flexible, cloud-based infrastructure. As a startup grows, it can scale AI usage up or down depending on demand, without worrying about costly hardware upgrades.

4. Continuous Improvement
Providers regularly update their AI models with the latest advancements, giving startups access to cutting-edge capabilities without ongoing research and development costs.

Strategic Considerations

While AIaaS offers clear advantages, startups need to approach it strategically:

• Data Privacy: Sensitive customer data must be handled in compliance with regulations, especially when processed through third-party services.
• Vendor Lock-In: Building products heavily dependent on a single provider’s ecosystem can make future transitions expensive and risky.
• Customization Limits: Off-the-shelf AI solutions may not fully address highly specific or complex problems.

Balancing the convenience of AIaaS with the need for long-term flexibility is essential to avoid costly pivots later.

The Bigger Picture

AIaaS is part of a broader trend toward the “as-a-service” economy, where complex capabilities are delivered via subscription rather than ownership. Just as SaaS made enterprise-grade software accessible to startups, AIaaS is making advanced AI tools available to companies at any stage of growth.

For early-stage ventures, this levels the playing field, enabling them to innovate at the same technological pace as far larger competitors. For more mature startups, it can accelerate entry into new markets and support rapid product diversification.

The underlying truth is simple: AI is becoming as essential to modern business as the internet was two decades ago. With AIaaS, the question is no longer whether a startup can afford to use artificial intelligence — but whether it can afford not to.

Ghada Ismail

Across Saudi Arabia, the way people handle money has undergone a quiet revolution. Tapping your phone to pay for coffee, transferring cash through a wallet app, and getting a loan without stepping into a bank, these are now part of everyday life. Over just five years, the Kingdom’s fintech sector has surged forward, reshaping how people save, spend, and invest.

The numbers reflect this momentum. According to the ‘Setup in Saudi’ website, the number of active fintech companies in the country jumped from 89 in 2022 to over 200 fintech firms as of August 2023. Digital-first banking, robo-advisory tools, and BNPL (buy-now-pay-later) platforms are gaining traction not just in Riyadh or Jeddah but across a much broader swath of the population.

But while fintechs have made finance more accessible, they’ve also created new openings for fraudsters.

As fast as platforms evolve, scammers adapt. No longer content with crude spam messages or clumsy impersonation attempts, they’re now deploying far more sophisticated tactics: hijacking OTPs, creating near-perfect fake apps, and launching social engineering scams that are tailored to Arabic-speaking users.

These attacks aren’t random. They’re calculated, localized, and alarmingly effective.

In a country where digital trust underpins an increasingly cashless economy, even a single breach can ripple far beyond the victim. For fintechs, the challenge is not just about securing systems, it’s about preserving confidence.

That’s why a new wave of innovation is taking shape: that’s FraudTech, a growing arsenal of technologies designed to detect and block fraud before it strikes. AI-driven threat detection, biometric verification, and behavioral analytics are becoming essential weapons in the fight against a smarter, faster breed of financial crime.

In today’s Saudi fintech landscape, the real arms race isn’t over who builds the flashiest app—it’s over who can build the safest one.

Inside the Modern Scam: What Fraud Looks Like in 2025

Gone are the days of laughably fake emails and “you’ve won a prize” messages. Today’s scams are sharper, better disguised, and more emotionally manipulative.

Across Saudi Arabia, users are being targeted with Arabic-language phishing messages disguised as official alerts from banks, government portals, or shipping services. Often sent via SMS or WhatsApp, these messages lead to malicious links or request seemingly harmless details, like a One-Time Password (OTP). In reality, that OTP is often the last step before someone’s account is drained.

Fake apps are another growing threat. These replicas of popular fintech platforms are nearly identical to the real thing, right down to the colors, layout, and fonts. Once installed, they harvest credentials and silently pass data back to cybercriminals.

Even more concerning is the rise of AI-enhanced fraud. Deepfake audio and video, cloned voices of bank agents, and personalized spear-phishing campaigns are creeping into the ecosystem. These tools make it increasingly difficult to tell the difference between a genuine call and a scam.

And then there’s social engineering, where the attacker’s strongest weapon is human emotion. A panicked call from someone claiming to be a relative in trouble. A friendly “customer service agent” helping you resolve an urgent issue. The goal isn’t to hack your phone, it’s to hijack your trust.

This new era of fraud is no longer just a tech problem. It’s a human one.

How Saudi Fintechs Are Fighting Back

In response to these rising threats, Saudi fintechs are stepping up with a new mindset: prevention by design.

Artificial Intelligence (AI) is now at the core of many platforms’ fraud strategies. These systems aren’t just flagging unusual logins; they’re learning user behavior in real time. If someone who always transfers SAR 200 suddenly sends SAR 20,000 to a new international account, the AI doesn’t just log it; it can freeze it, verify it, or block it altogether.

Biometric tools like fingerprint scans and facial recognition are becoming standard across many Saudi fintech apps. They provide an added layer of protection that can’t be phished or guessed.

But it doesn’t stop there. Behavioral biometrics—tracking how you hold your phone, how fast you type, or how you swipe—adds another invisible shield. These patterns are unique to each person and difficult for fraudsters to mimic.

Local players like Hala, Tweeq, and stc pay are investing heavily in fraud detection infrastructure. stc pay has publicly launched anti‑fraud initiatives like the “Scam the Scammer” awareness campaign, explicitly stating its ongoing investment in fraud prevention and customer security. Additionally, STC (the parent company) has partnered with telecom‑fraud solutions companies like Mobileum and Subex, deploying AI-driven systems to detect and prevent fraud across its network. Some have partnered with international specialists like Feedzai and BioCatch, which provide advanced, AI-powered fraud monitoring tailored for the financial industry.

What used to be back-end security is now a frontline feature. In a crowded fintech market, platforms that offer visible, transparent protection stand out. For users, safety has become just as important as speed or convenience.

Regulators Join the Fight

The battle against fraud isn’t being fought by fintechs alone.

The Saudi Central Bank (SAMA) has taken a proactive stance in fraud prevention by issuing a comprehensive Counter‑Fraud Framework and Fundamental Requirements, compelling banks and fintechs to implement real‑time monitoring, conduct frequent control maturity assessments, and submit roadmaps for compliance by June 2023. These requirements include board oversight and ongoing reporting obligations.

The National Cybersecurity Authority (NCA) stands alongside SAMA in safeguarding Saudi Arabia’s digital infrastructure and coordinating cyber threat response across sectors. Working together, these regulators deliver unified frameworks—such as SAMA’s Cybersecurity Framework and NCA’s Essential Cybersecurity Controls—that reinforce collaboration across finance, telecom, and critical infrastructure providers.

A. SAMA’s Cybersecurity Framework

• Strong Customer Authentication (SCA): Mandates two-factor authentication (2FA) for all digital payments.
• Fraud risk assessments required for fintech licensing.
• Real-time transaction monitoring enforced for all payment providers.

B. National Cybersecurity Authority (NCA) Initiatives

• "Kafalah" program: Aims to protect consumers from fraud via awareness campaigns.
• Fraud reporting portals allow victims to report scams quickly.

This approach signals a shift: beating fraud isn’t about acting alone; it’s about acting together.

Public awareness campaigns have also ramped up, with simple, clear messages targeting everyday users. Whether it's an ad reminding you to never share your OTP or a video warning against fake apps, education is becoming part of the strategy.

Users: The First Line of Defense

Despite all the tech defense systems, one uncomfortable truth remains: people are still the easiest target.

Fraudsters don’t need to break into your system if they can simply trick you into opening the door. A well-timed scam call or convincing SMS is all it takes for many users to unknowingly give away critical information.

Recognizing this, fintechs are redesigning how they interact with users.

Some apps now display real-time warnings when a user tries to transfer money to a flagged account. Others introduce delays for unusually large transactions, buying time for users to reflect or cancel. Educational nudges, trust scores, and interactive security tips are also being embedded into user journeys.

In parallel, many fintechs are taking to social media, posting bite-sized Arabic videos that explain new fraud techniques, scams to watch for, and tips for safer banking.

Educating and Protecting the User

A. How Fintechs Are Raising Awareness

• In-app scam warnings pop up during risky transactions.
• Interactive tutorials teach users how to spot phishing attempts.
• Gamification: Some apps reward users for completing security training.

B. What Users Must Do

• Never share OTPs or passwords, even with "bank agents."
• Verify app legitimacy before downloading (check developer names, reviews).
• Enable biometric logins for added security.
•  

The goal is simple: build habits, not just awareness.

Because in the fight against fraud, an informed user isn’t just a customer; they’re a partner.

Smarter Threats, Smarter Defenses

The fraud landscape isn’t standing still, and neither should Saudi Arabia’s fintech sector.

With generative AI, scammers can now create realistic fake identities, impersonate company executives, and automate social engineering campaigns at scale. We’re entering a time when a video of your CFO asking for a wire transfer might not be real, and you may not know until it’s too late.

To stay ahead, fintechs must treat security as a product, not a feature. That means real-time monitoring, regular penetration testing, strong collaboration across sectors, and above all, user-centric design that keeps protection seamless but effective.

In a future shaped by mobile-first banking, open APIs, and digital identity, Saudi fintechs won’t just be judged by how fast they grow, but by how securely they scale.

Conclusion: A Secure Digital Future for Saudi Arabia

Saudi Arabia’s fintech revolution is unstoppable, but so is financial fraud. The Kingdom is fighting back with strong regulations, AI-powered FraudTech, and consumer awareness.

The next phase will require even smarter defenses as criminals leverage AI. Yet, with SAMA, NCA, and fintech innovators working together, Saudi Arabia is well-positioned to become a global leader in secure digital finance.

The message is clear: Fraud is evolving, but so are the tools to stop it.