The Digital Divide: Who Is Still Left Out—And Why?

Jun 30, 2026

Kholoud Hussein 

 

Few countries have transformed their digital landscape as rapidly and comprehensively as Saudi Arabia. Over the past decade, digital transformation has evolved from being a government modernization initiative into one of the Kingdom's most influential economic and social development strategies. Under Vision 2030, technology has become more than an enabler of public services; it has emerged as a catalyst for economic diversification, private-sector growth, entrepreneurship, and social inclusion.

Today, renewing official documents, opening a bank account, establishing a company, booking a medical appointment, signing contracts, paying utility bills, or accessing government services can all be completed through a smartphone within minutes. Platforms such as Absher, Nafath, Sehhaty, Qiwa, and Tawakkalna have fundamentally changed how citizens interact with the state, while digital payments, e-commerce, and cloud-based business solutions have transformed the private sector's operating model.

These achievements have positioned Saudi Arabia among the world's leading digital economies. The Kingdom ranked second globally in the World Bank's GovTech Maturity Index, while the Digital Government Authority (DGA) reports that more than 97% of government services are now offered digitally. According to the Communications, Space and Technology Commission (CST), internet penetration has surpassed 99%, making Saudi Arabia one of the world's most connected societies. Digital payments now account for nearly 80% of all retail transactions, exceeding one of Vision 2030's original targets years ahead of schedule, while the ICT market has grown into the largest in the Middle East, with a value exceeding SAR 180 billion.

These figures tell the story of remarkable progress. Yet they also raise an equally important question.

If digital infrastructure has reached almost every household, if government services have largely become digital by default, and if businesses increasingly operate through digital platforms, does this mean every citizen and every company is benefiting equally from the Kingdom's digital transformation? 

The success of Saudi Arabia's digital journey has revealed a new challenge—one that is less visible than internet coverage maps or smartphone penetration rates, yet potentially more consequential for the country's long-term economic ambitions. It is a challenge that policymakers, businesses, investors, and entrepreneurs around the world are increasingly confronting: the digital divide.

Unlike a decade ago, however, the digital divide no longer refers simply to whether people can access the internet. In highly connected economies such as Saudi Arabia, it has become a far more sophisticated issue. It now concerns who possesses the skills to navigate an increasingly digital economy, who can leverage emerging technologies such as artificial intelligence to improve productivity, who can establish digitally enabled businesses, and who risks being left behind as economic activity becomes progressively technology-driven.

For Saudi Arabia, addressing this new generation of digital inequality is not merely a technological objective. It is an economic necessity. As the Kingdom accelerates its transition toward a knowledge-based economy, ensuring that every individual and every business can participate meaningfully in the digital era will become just as important as expanding fiber-optic networks or launching new government applications.

The first phase of Vision 2030 focused on building digital infrastructure, while the next phase will focus on ensuring that everyone can build their future upon it.

 

What Is Meant by the Digital Divide?

The concept of the digital divide has undergone a remarkable transformation over the past three decades. When policymakers first began discussing the issue during the rapid expansion of the internet in the 1990s, the concern was relatively straightforward: millions of people simply lacked access to computers and reliable internet connections. Digital inequality was therefore measured by physical infrastructure. Countries with limited broadband networks, low computer ownership, and weak telecommunications systems were considered digitally excluded.

Governments responded by investing heavily in connectivity. Expanding broadband coverage, reducing internet costs, and improving telecommunications infrastructure became central objectives of national development strategies across both developed and emerging economies.

Over time, however, it became increasingly clear that providing internet access alone was not enough.

Two individuals could own the same smartphone, access the same broadband network, and use the same government platforms, yet derive entirely different economic value from those technologies. One might use digital tools to establish a successful online business, access global markets, develop new skills, and improve productivity. The other might use the same technology primarily for communication or entertainment without experiencing any significant economic benefit.

This realization fundamentally changed how international organizations define the digital divide.

Today, institutions such as the World Bank, the Organisation for Economic Co-operation and Development (OECD), and the International Telecommunication Union (ITU) describe digital inclusion as a multidimensional concept encompassing not only access to digital infrastructure but also digital literacy, affordability, accessibility, cybersecurity awareness, trust in online services, and the ability to participate productively in the digital economy.

In other words, connectivity has become only the starting point. Meaningful participation has become the real objective.

This evolution has given rise to what researchers increasingly describe as the "second" and even "third" generations of the digital divide.

The first generation focused on infrastructure—who had access to the internet and who did not.

The second focused on digital skills—who could effectively use technology to improve education, employment, and business performance.

Today, the third generation is emerging around artificial intelligence, data literacy, automation, cloud computing, and advanced digital capabilities. As intelligent technologies become integral to every sector of the economy, the divide increasingly separates those capable of creating value from technology from those who simply consume it.

This distinction is becoming one of the defining characteristics of modern economies.

Digital transformation is no longer measured by the number of smartphones in circulation or broadband subscriptions. Increasingly, it is measured by the number of digitally skilled workers, AI-enabled businesses, technology-driven entrepreneurs, innovative startups, and organizations capable of competing in a global digital marketplace.

For countries pursuing ambitious economic diversification strategies, including Saudi Arabia, this new definition carries profound implications.

Building infrastructure may require billions of dollars in investment, but building digital capabilities requires something far more challenging: long-term investment in education, talent development, entrepreneurship, research, and innovation.

 

Saudi Arabia's Journey Toward Closing the Digital Divide

Saudi Arabia's experience illustrates how rapidly a nation can transform its digital landscape when technology becomes a national strategic priority.

When Vision 2030 was launched in 2016, digital transformation was identified as one of the key enablers of economic diversification. Rather than treating technology as a standalone sector, policymakers viewed it as a foundation capable of improving government efficiency, attracting foreign investment, empowering entrepreneurs, creating new industries, and enhancing quality of life.

Over the past decade, this vision has translated into unprecedented investments across digital infrastructure.

The Kingdom expanded fiber-optic networks across urban and rural areas, accelerated nationwide 5G deployment, strengthened cloud computing capabilities, modernized telecommunications regulations, and encouraged greater private-sector participation in the ICT sector. Today, Saudi Arabia enjoys one of the highest smartphone penetration rates in the world and among the region's most advanced digital infrastructure ecosystems.

Yet infrastructure represented only one aspect of the transformation.

The government simultaneously embarked on an ambitious digital government agenda that fundamentally changed the relationship between citizens and public institutions.

Instead of requiring physical visits to multiple government offices, integrated digital platforms now allow individuals and businesses to complete hundreds of transactions remotely. According to the Digital Government Authority, Saudi Arabia has digitized more than 97% of its government services, while the Kingdom continues to improve user experience through unified digital identities, interoperable platforms, and AI-powered public services.

This transformation has produced tangible economic benefits.

Administrative costs have declined, business registration procedures have accelerated, compliance has become more efficient, and entrepreneurs can establish companies significantly faster than was possible only a decade ago. The reduction in bureaucracy has strengthened Saudi Arabia's attractiveness as an investment destination while supporting the growth of its startup ecosystem.

As Minister of Communications and Information Technology Abdullah Alswaha has repeatedly emphasized, the Kingdom's digital transformation is not simply about deploying technology but about empowering people and creating opportunities for innovation. Speaking at several international forums, Alswaha has argued that Saudi Arabia's greatest competitive advantage lies in its investment in human capabilities, noting that talent—not technology alone—will determine success in the era of artificial intelligence.

Similarly, Ahmed Alsuwaiyan, Governor of the Digital Government Authority, has consistently highlighted that digital government is no longer measured solely by the number of online services but by the quality of citizens' digital experiences. His remarks reflect an important shift in public policy thinking: successful digital transformation depends not only on making services available, but also on ensuring they are accessible, intuitive, inclusive, and trusted.

These achievements explain why Saudi Arabia is frequently cited as one of the world's leading examples of digital transformation. Yet they also underscore an important reality.

Building world-class digital infrastructure is only the first step.

Ensuring that every citizen, entrepreneur, employee, student, and business can benefit equally from that infrastructure is a far more complex challenge—one that cannot be solved through technology alone.

It requires investment in people. And it is precisely at this point that Saudi Arabia's digital transformation enters its most important phase.

 

Who Is Still Left Out? The New Face of Digital Inequality

It is tempting to assume that digital inequality disappears once internet access becomes nearly universal. Saudi Arabia's experience demonstrates otherwise.

The Kingdom has largely solved what development economists refer to as the "first-generation digital divide." Broadband networks extend across the country, fifth-generation (5G) services continue to expand, smartphone ownership ranks among the highest globally, and digital government platforms have become the primary channel through which citizens interact with public institutions. In purely technological terms, Saudi Arabia has built one of the most advanced digital ecosystems in the region.

Yet digital transformation has entered a far more complex stage.

Today, exclusion is less visible than it was a decade ago. It no longer manifests itself through the absence of internet connections or limited access to government services. Instead, it appears through unequal opportunities to participate in a rapidly evolving digital economy. Some individuals, businesses, and sectors have embraced digital technologies as engines of growth and innovation, while others continue to struggle to translate connectivity into tangible economic value.

Perhaps nowhere is this more evident than among Saudi Arabia's small and medium-sized enterprises.

SMEs occupy a central position within Vision 2030, with the Kingdom aiming to increase their contribution to gross domestic product to 35% by the end of the decade. Considerable progress has already been made, supported by financing initiatives, regulatory reforms, and a thriving entrepreneurial ecosystem. Nevertheless, digital maturity remains uneven across the sector.

Many young startups have been built entirely around cloud computing, artificial intelligence, digital payments, and data analytics. They operate with technology embedded into every stage of their business models, allowing them to scale rapidly and compete beyond local markets.

By contrast, many traditional SMEs continue to rely on fragmented digital systems or manual processes. Inventory management, customer relationships, accounting, procurement, and sales often remain disconnected, preventing businesses from fully exploiting the efficiencies offered by modern technology. Digital tools may exist within these companies, but they frequently operate in isolation rather than forming an integrated digital ecosystem capable of improving productivity and supporting strategic decision-making.

This disparity has become one of the defining characteristics of Saudi Arabia's emerging digital economy.

Increasingly, competitiveness depends not on whether businesses possess technology, but on how effectively they integrate it into their daily operations.

The same challenge extends to family-owned businesses, many of which have formed the backbone of the Saudi private sector for decades.

While large family conglomerates have invested heavily in digital transformation, thousands of smaller family enterprises continue to navigate the transition from traditional business practices toward digitally driven operating models. Succession planning has become intertwined with technological modernization, as younger generations often seek to introduce e-commerce, enterprise software, artificial intelligence, and data-driven decision-making into businesses historically built on personal relationships and conventional management practices.

For many of these companies, digital transformation is no longer simply an operational upgrade; it has become essential to long-term survival.

The labor market presents another dimension of the digital divide.

The rapid adoption of automation and artificial intelligence is fundamentally reshaping the skills demanded by employers. Administrative tasks that once required significant human intervention are increasingly automated, while demand continues to grow for professionals capable of managing digital platforms, analyzing data, developing AI solutions, strengthening cybersecurity, and operating within cloud-based environments.

According to the World Economic Forum's Future of Jobs Report, digital skills are expected to become among the fastest-growing competencies worldwide during the remainder of this decade. Saudi Arabia has recognized this challenge through extensive investments in digital skills programs, coding academies, artificial intelligence education, and workforce reskilling initiatives. Nevertheless, maintaining alignment between education outcomes and rapidly evolving labor market requirements remains one of the Kingdom's most significant long-term challenges.

As Alswaha has repeatedly emphasized, talent will ultimately determine the success of the digital economy. Infrastructure may provide the platform, but people remain the primary engine of innovation.

Another group facing unique challenges consists of elderly citizens.

Although Saudi Arabia has made remarkable progress in simplifying digital government services through user-friendly platforms such as Absher and Sehhaty, digital adoption among older generations remains uneven. Many continue to depend on family members to complete electronic transactions, navigate digital banking services, or manage online healthcare appointments.

This does not necessarily reflect a lack of willingness to embrace technology. Rather, it highlights the importance of designing digital services that accommodate varying levels of digital confidence and technological familiarity.

True digital inclusion requires more than making services available online; it requires ensuring that every citizen can use them independently and confidently.

People with disabilities represent another important dimension of digital inclusion.

Saudi Arabia has introduced significant accessibility standards across government platforms as part of its broader commitment to inclusive development. However, rapid technological innovation continually creates new accessibility requirements, particularly as artificial intelligence, immersive technologies, and increasingly sophisticated digital interfaces become integrated into everyday services.

Ensuring that technological progress remains inclusive will require ongoing collaboration between government institutions, technology companies, accessibility specialists, and entrepreneurs.

Geography also continues to influence digital participation, although in different ways than in the past.

The issue is no longer whether rural communities possess internet connectivity. Significant investments have dramatically expanded broadband coverage throughout the Kingdom. Instead, the challenge increasingly concerns access to advanced digital ecosystems.

Entrepreneurs in Riyadh, Jeddah, and Dhahran benefit from proximity to accelerators, venture capital firms, technology conferences, research institutions, universities, and innovation hubs. These ecosystems facilitate collaboration, investment, mentorship, and knowledge exchange.

Entrepreneurs operating in smaller cities may possess equivalent connectivity yet fewer opportunities to participate in these innovation networks.

Closing this gap will require continued expansion of regional entrepreneurship ecosystems rather than infrastructure alone.

Digital inequality also manifests itself in financial capability.

While Saudi Arabia has become one of the Middle East's leading markets for digital payments and fintech innovation, not every entrepreneur possesses the financial knowledge required to leverage digital financing solutions effectively. Understanding crowdfunding, embedded finance, venture capital, revenue-based financing, digital lending, or investment readiness increasingly determines whether startups can secure the capital needed to grow.

Financial literacy has therefore become inseparable from digital literacy.

As financial services become increasingly technology-driven, entrepreneurs who fail to understand digital finance risk limiting their own growth opportunities.

Taken together, these examples illustrate a profound shift in the nature of digital inequality.

The remaining barriers are no longer primarily technological. They are educational, economic, institutional, and increasingly, they are connected to human capability.

 

Why Closing the Digital Divide Matters Economically

For many years, digital transformation was discussed primarily as a technological objective. Governments invested in telecommunications networks, electronic services, and broadband infrastructure because these projects represented visible signs of modernization. Today, however, economists increasingly regard digital inclusion through a different lens.

It has become an economic growth strategy.

Every digitally capable entrepreneur strengthens private-sector competitiveness. Every SME that successfully integrates artificial intelligence or cloud computing improves productivity. Every worker who acquires advanced digital skills contributes to labor market resilience. Collectively, these individual gains translate into broader economic performance.

This explains why institutions such as the World Bank, the OECD, and the International Monetary Fund increasingly describe digital inclusion as a driver of productivity rather than merely a social policy objective.

For Saudi Arabia, the implications are particularly significant.

Vision 2030 seeks to diversify the economy through innovation, entrepreneurship, advanced manufacturing, financial services, tourism, logistics, and technology. None of these sectors can achieve their full potential without a digitally capable workforce and digitally mature businesses.

Digital inclusion therefore sits at the intersection of nearly every major national economic objective because: 

  • It influences startup formation.
  • It affects SME growth.
  • It strengthens labor productivity.
  • It attracts foreign direct investment.
  • It supports research and innovation.
  • It determines how effectively Saudi Arabia competes within the global digital economy.

The Kingdom has already demonstrated that it can build world-class digital infrastructure.

The next measure of success will depend on how effectively every citizen and every business can transform that infrastructure into opportunity.

 

The Role of Saudi Startups: Bridging the Last Mile of Digital Transformation

If government institutions built Saudi Arabia's digital infrastructure, startups have built the bridges that connect this infrastructure to everyday life.

This distinction is important because digital transformation does not end with the launch of an electronic government service or the expansion of a fiber-optic network. Infrastructure creates possibilities, but it is businesses that transform those possibilities into practical solutions capable of changing how people work, shop, save, learn, receive healthcare, manage companies, and access financial services.

In many respects, Saudi startups have become the "last mile" of the Kingdom's digital transformation.

Rather than competing with government initiatives, they have complemented them by identifying highly specialized problems that public institutions could not address alone. While government established the regulatory frameworks and invested in digital infrastructure, startups focused on simplifying complex processes, reducing costs, improving accessibility, and encouraging both individuals and businesses to embrace digital technologies with confidence.

Perhaps nowhere has this been more evident than in financial technology.

For decades, access to financing represented one of the largest obstacles facing entrepreneurs and SMEs across the region. Traditional banking requirements often made obtaining credit difficult for younger businesses, while many consumers remained hesitant about using digital financial services.

Saudi fintech startups have played a central role in changing this reality.

Companies such as Tamara have transformed consumer financing by popularizing Buy Now, Pay Later (BNPL) solutions, enabling millions of consumers to shop online while giving merchants new opportunities to increase sales and improve customer acquisition. At the same time, platforms such as Lendo introduced debt crowdfunding models that opened alternative financing channels for SMEs, addressing a longstanding funding gap that conventional financial institutions alone could not fill.

Similarly, Hakbah modernized the traditional concept of community savings by digitizing "Jameya" models, encouraging financial inclusion while preserving familiar cultural practices. Instead of replacing traditional behaviors, the company enhanced them through technology, making saving more transparent, accessible, and efficient.

Collectively, these startups did more than introduce new financial products. They strengthened public confidence in digital financial services, encouraged cashless transactions, and expanded participation in the Kingdom's growing digital economy.

Retail technology presents another compelling example.

The explosive growth of e-commerce in Saudi Arabia would have been difficult to sustain without platforms designed specifically for local merchants.

Companies such as Salla and Zid significantly lowered the barriers to launching online businesses. Entrepreneurs no longer needed to build expensive websites, hire software developers, or invest heavily in digital infrastructure before reaching customers. Instead, these platforms offered integrated ecosystems combining online storefronts, payment gateways, inventory management, logistics, customer relationship management, and digital marketing tools within a single solution.

This democratization of technology proved particularly significant for small businesses.

By reducing the cost and complexity of digital commerce, these startups enabled thousands of entrepreneurs to participate in Saudi Arabia's rapidly expanding online economy, regardless of their technical background.

The restaurant industry experienced a similar transformation.

Saudi-based Foodics evolved from a point-of-sale provider into a comprehensive cloud platform supporting restaurants with inventory management, payment processing, analytics, customer engagement, and operational intelligence. In doing so, the company helped thousands of restaurants transition from traditional management methods toward fully digital operations, improving efficiency and supporting long-term scalability.

Education technology has followed a comparable trajectory.

As digital learning became increasingly important, particularly following the COVID-19 pandemic, companies such as Classera demonstrated how Saudi-developed educational technologies could serve not only domestic institutions but international markets as well. By integrating digital classrooms, AI-powered learning tools, and cloud-based education management systems, these platforms helped schools embrace hybrid and digital learning environments while expanding access to high-quality educational resources.

AI startups are now emerging as the next frontier.

Companies including Mozn have developed sophisticated AI solutions for fraud detection, anti-money laundering, and financial risk management, illustrating the evolution of Saudi startups from digital service providers into creators of advanced technologies capable of competing internationally.

Similarly, Lucidya has enabled organizations across the region to analyze Arabic-language customer sentiment using artificial intelligence, filling a gap that global technology providers often overlooked. By tailoring AI solutions to Arabic-speaking markets, the company demonstrated how local innovation can solve challenges that international products frequently fail to address.

Industrial technology is experiencing similar momentum.

Construction technology startup WakeCap uses wearable Internet of Things (IoT) devices and data analytics to improve workforce safety and operational efficiency across large construction projects. The company's success reflects another important aspect of Saudi Arabia's startup ecosystem: digital transformation is no longer confined to software or consumer applications. Increasingly, it is reshaping traditional industries such as construction, manufacturing, logistics, and infrastructure.

 

The Next Gaps Waiting to Be Filled

Despite the remarkable growth of Saudi Arabia's startup ecosystem, significant opportunities remain.

Indeed, the Kingdom's continued digital transformation is likely to create entirely new markets over the coming decade.

Artificial intelligence represents perhaps the largest opportunity.

While large corporations increasingly invest in AI capabilities, many SMEs continue to struggle with implementation. Future startups are therefore expected to focus less on developing foundational AI models and more on making artificial intelligence practical, affordable, and accessible for small businesses operating across retail, healthcare, manufacturing, logistics, legal services, education, and tourism.

Another promising area lies in Arabic-language AI.

Although global AI models continue improving multilingual capabilities, demand is growing for solutions specifically designed around Arabic language processing, regional dialects, cultural contexts, and local regulatory environments. Saudi entrepreneurs are well positioned to become global leaders in this niche.

Accessibility technologies represent another underserved market.

As Saudi Arabia advances its commitment to inclusive development, demand will continue growing for digital solutions that better serve elderly citizens and people with disabilities. Technologies supporting voice navigation, accessible digital interfaces, AI-powered assistance, and adaptive user experiences represent significant commercial opportunities while simultaneously strengthening digital inclusion.

Cybersecurity is expected to become equally important.

As businesses become increasingly digital and government services rely more heavily on cloud computing and artificial intelligence, protecting digital infrastructure will require continuous innovation. Saudi Arabia has already identified cybersecurity as a strategic priority, creating fertile ground for startups specializing in digital identity protection, threat intelligence, secure cloud infrastructure, and AI-powered cyber defense.

Education technology also remains far from saturated.

The challenge is no longer simply digitizing classrooms. Instead, the next generation of EdTech startups is likely to focus on lifelong learning, AI-assisted education, personalized skills development, vocational reskilling, and continuous professional education designed for rapidly changing labor markets.

Collectively, these emerging sectors demonstrate that the digital divide should not be viewed solely as a challenge.

It also represents one of Saudi Arabia's largest investment opportunities.

 

AI and the Next Digital Divide

If internet connectivity defined the first generation of digital transformation, artificial intelligence is likely to define the next.

The rapid adoption of generative AI has fundamentally changed the nature of digital competitiveness. Access to AI tools is becoming increasingly widespread, but access alone no longer guarantees productivity.

The real advantage lies in knowing how to integrate AI into daily work.

Businesses capable of automating workflows, analyzing data, improving customer service, forecasting demand, enhancing cybersecurity, and supporting strategic decision-making through artificial intelligence will increasingly outperform competitors relying on traditional operating models.

This represents a new form of digital inequality. It is not an infrastructure divide. It is an intelligence divide.

Saudi Arabia has moved aggressively to position itself at the forefront of this transformation. Through the Saudi Data and Artificial Intelligence Authority (SDAIA), the National Strategy for Data and AI, and the launch of HUMAIN, the Kingdom has committed billions of dollars toward AI infrastructure, cloud computing, research partnerships, semiconductor investments, and talent development.

Speaking at LEAP and other international forums, Minister Abdullah Alswaha has consistently argued that the global AI race will not be won solely through computing power but through investment in people. Talent, education, and innovation, he maintains, will determine which nations ultimately lead the next wave of technological transformation.

 

From Digital Access to Digital Opportunity

As Vision 2030 enters its final years, Saudi Arabia's digital transformation is approaching a defining moment.

The Kingdom has already demonstrated that ambitious public policy, substantial investment, and close collaboration between government and the private sector can fundamentally reshape an economy within a remarkably short period. International rankings, expanding digital infrastructure, growing startup activity, and increasing foreign investment all point toward a digital ecosystem that continues to mature at an impressive pace.

Yet the next chapter will demand something even more ambitious.

It will require ensuring that digital transformation benefits every entrepreneur, every SME, every student, every worker, and every community—not simply by providing access to technology, but by enabling them to create value from it.

This is where startups, investors, universities, corporations, and policymakers will increasingly converge. Their shared challenge will be to transform digital inclusion from a policy objective into an economic reality, one that supports innovation, strengthens productivity, expands entrepreneurship, and enhances global competitiveness.

Ultimately, the digital divide is not simply about technology. It is about opportunity.

It is about ensuring that no promising entrepreneur is prevented from growing because of limited digital capabilities, that no small business is excluded from the digital economy because it cannot adopt emerging technologies, and that no citizen is left behind as artificial intelligence reshapes the future of work.

Saudi Arabia has already built one of the world's most advanced digital foundations.

The next measure of its success will not be the number of platforms it launches, the speed of its internet, or the sophistication of its digital infrastructure.

It will be measured by something far more important: how many people can confidently participate, compete, innovate, and prosper within the digital economy it has created.

 

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From peak to pause: How seasonal businesses thrive all year

Noha Gad

 

Businesses do not all operate the same way throughout the year. Some enjoy steady demand month after month, while others experience clear peaks and quieter periods driven by seasons, holidays, or industry cycles. Understanding these patterns is essential for owners, managers, and investors who want to plan wisely and avoid cash-flow surprises. From tourism resorts and landscaping companies to holiday retail and travel services, seasonal companies can be highly profitable when managed well; however, they also face distinct challenges in finance, staffing, and marketing. 

 

What are seasonal businesses?

Seasonal business refers to fluctuations in business that correspond to seasonal changes. This does not mean they operate only in one season for the most part, with a few exceptions. Key examples of seasonal businesses include alternative holiday retailers, moving services, tour guides, holiday clubs, and more. There are few steps founders and business owners must follow to start a seasonal business:

  • Understand the market. As an owner, you must be sure there is enough demand for the products or services that can generate enough income during the peak season. To gain knowledge, you can conduct simple market research, asking potential customers whether they would buy from you at the prices you are considering charging.
  • Develop a marketing plan. Seasonal businesses must often work harder to promote themselves, often to simply remind customers they are there. To hit the ground running, you should leave enough time for your publicity and advertising to attract customers. 
  • Manage cash flow. Successful cash flow management can represent a significant challenge for seasonal businesses because they receive most of their income in a set period, but may have outgoings at other times. The temptation can be to spend too much when cash is plentiful, creating cash flow issues when revenue is down.
  • Purchase essentials. You must accurately estimate demand by using your market knowledge/research. Getting favorable terms from suppliers can be more difficult when buying within a limited period, but there's no harm in trying by using your business relationship with them. 
  • Diversify products. If offering discounts and holding promotions doesn't help you to make sales when sales slow down, maybe you could modify your offer to give it wider and longer-lasting appeal. 
  • Improve offering and analyze results during quiet period. Use quiet periods to analyze your results and think of ways you can improve the business for when it becomes active again.  

 

Key challenges seasonal businesses face

Seasonal businesses share several recurring difficulties that stem from their uneven revenue patterns. These challenges affect cash flow, staffing, inventory, and overall planning.

  • Cash-flow volatility: revenue concentrates in a few busy months, while many costs, such as rent, loan payments, insurance, and subscriptions, continue year-round. This mismatch can create liquidity gaps during the off-season.
  • Staffing and training pressures: Owners must hire and train temporary staff quickly for peak periods, then manage layoffs or reduced hours when demand falls. High turnover and repeated onboarding can raise costs and affect service quality.
  • Inventory and capacity planning risks
    Over-ordering before a slow period ties up cash in unsold stock, while under-ordering before a peak can lead to missed sales and dissatisfied customers. Balancing inventory levels with uncertain demand is a constant challenge.
  • Marketing timing inefficiencies. Spending on advertising too late or too early reduces return on marketing investment. Seasonal businesses must align promotion with the demand curve to maximize impact.

 

To sum up, seasonal businesses can deliver strong profits, but only when owners plan for the full annual cycle, not just the busy months. Success depends on understanding demand patterns, preparing a focused marketing plan, and, above all, managing cash flow so that peak-season earnings cover off-season costs.

The main challenges, such as cash-flow volatility, staffing swings, inventory risks, and mistimed marketing, are predictable and manageable with the right discipline. Founders who research their market, negotiate smartly with suppliers, diversify offerings, and use quiet periods to analyze results and improve operations are better positioned to turn seasonality from a risk into a strategic advantage.

Limited Partners (LP) vs. General Partners (GP): What’s the Difference?

Ghada Ismail

 

When people talk about venture capital and private equity, two terms appear repeatedly: Limited Partners (LPs) and General Partners (GPs). While both are essential to an investment fund, they play very different roles.

In simple words, LPs provide the capital, while GPs manage and invest it. Understanding this relationship is key to understanding how venture capital and private equity funds work.

 

What is a Limited Partner?

A Limited Partner is an investor who commits money to an investment fund but generally does not participate in its day-to-day management.

LPs can include pension funds, sovereign wealth funds, family offices, insurance companies, endowments, banks, and high-net-worth individuals. In the venture capital ecosystem, they provide the majority of the capital that funds use to invest in startups.

LPs typically commit a specific amount to a fund, but they do not necessarily transfer the entire amount upfront. Instead, the GP can make capital calls when investments or other fund expenses require funding.

In return, LPs receive a share of the fund's returns. Their potential liability is generally limited to the amount they have committed to the fund, which explains the term "limited" partner.

 

What is a General Partner?

General Partners are responsible for running the investment fund.

The GP is typically the venture capital or private equity firm managing the fund. Its responsibilities include identifying investment opportunities, conducting due diligence, negotiating deals, supporting portfolio companies, and deciding when to exit investments.

GPs also manage the fund's relationship with LPs, provide performance updates, and oversee the fund's overall strategy.

Unlike LPs, GPs are actively involved in investment decisions and typically commit some of their own capital to the fund.

 

The basic financial structure behind LP and GP partnerships

LPs and GPs usually make money in two main ways: management fees and carried interest.

GPs typically charge a management fee to cover the costs of running the fund, such as salaries, office expenses, and other operating costs. They can also earn carried interest, or “carry,” which is a share of the profits made from the fund’s investments.

For example, if a venture capital fund invests in several startups and those investments become highly successful, the GP can receive a percentage of the profits once certain conditions are met.

LPs receive most of the profits generated by the fund after management fees and carried interest are deducted. In simple terms, LPs provide most of the capital, while GPs manage the fund and earn fees plus a share of the profits if the investments perform well.

 

LP vs. GP: The Key Difference

The easiest way to remember the distinction is:

LP = supplies capital
GP = manages capital

LPs typically do not choose individual startups or companies for investment. Instead, they select funds based on factors such as the GP's track record, investment strategy, team, geographic focus, and expected returns.

GPs then deploy the capital according to the fund's investment strategy.

 

Why the Relationship is Important

A strong LP-GP relationship can be critical to a fund's success.

LPs want GPs to generate attractive returns while managing risk responsibly. GPs, meanwhile, rely on LPs for the capital needed to execute their investment strategy and often seek to build long-term relationships that can support future funds.

For startups, this relationship may seem distant, but it can have a direct impact. A well-capitalized VC fund has the resources to back promising startups through multiple funding rounds and potentially provide additional support as they scale.

 

To Wrap Things Up…

LPs and GPs are two sides of the same investment structure. LPs provide the financial firepower, while GPs provide the investment expertise and management.

The model allows institutions, family offices, and other investors to gain exposure to private markets without managing individual investments themselves, while giving professional fund managers the capital needed to identify and build the next generation of companies.

For anyone looking to understand how venture capital works, knowing the difference between LPs and GPs is one of the best places to start.

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Arabic voice AI technologies are at the forefront of digital transformation in the GCC region, driven by growing demand for intelligent solutions that understand local dialects and interact with users spontaneously and instantly, as well as the increasing need for data sovereignty and compliance. Against this backdrop, Hamsa, a US-listed company headquartered in Amman, stands out as an AI company specializing in developing advanced models that understand Arabic language and dialects; an integrated voice AI system; and intelligent agents capable of interacting with users, implementing tasks, and integrating with enterprise systems.

In an exclusive interview with Sharikat Mubasher, Ibrahim Jabarin, CEO of Hamsa, discussed the company’s strategy, its vision for the future of voice AI in the region, its competitive position among international peers, and its expansion plans across Saudi Arabia, the UAE, and other Gulf and Arabian markets.

Jabarin highlighted major pitfalls in the sector and unveiled Hamsa’s roadmap that includes supporting more than 16 languages, developing a new generation of intelligent agents, and enhancing security and compliance, thereby strengthening its presence regionally and globally.

 

First, tell us more about Hamsa, what distinguishes it in the Arabic AI technologies market, and the key solutions and services that the company provides for enterprises?

Hamsa is a voice AI company that develops its proprietary models capable of understanding and processing the Arabic language. We developed our Arabic model from scratch rather than relying on models originally developed for English and subsequently adapted for Arabic. This approach positively impacted performance; the accuracy of Hamsa’s models reached about 94% in transcribing Saudi and Gulf dialects and about 92% in standard Arabic. 

The company is also developing an integrated ecosystem that features speech recognition, voice synthesis, noise cancellation, speaker recognition, and integration with enterprises’ communication systems and operational infrastructure. This provides a quick response of up to 280 milliseconds to the first audio byte, with intelligent agents’ response time ranging from 0.8 to 1.2 seconds.

For enterprises, Hamsa provides a wide spectrum of comprehensive solutions, including real-time voice processing for calls and web applications; a Low-Code platform dedicated to designing chat agents and executing operations; APIs that help developers build their own solutions; and the ‘Hamsa Media’ product that processes voice content at large scale, including transcription, voice-over, and dubbing.

All these solutions can be deployed within customer data centers or via a private cloud hosted within the country to meet enterprises’ need for data sovereignty and compliance. 

 

To what extent have the strategic partnerships forged by Hamsa contributed to expanding the company’s business, deepening its regional presence, and attracting new customers?

For Hamsa, partnerships are not merely an additional sales channel; they represent a fundamental pillar for entering markets and accelerating the adoption of voice AI solutions, particularly in regulated sectors, such as banking and government entities that choose trustworthy suppliers with established experience and relationships. 

We adopt four main partnership tracks: systems integration and consulting firms, infrastructure and hardware partners, customer experience platforms and contact centers, as well as telecommunications operators

These partnerships help accelerate sales cycles, strengthen Hamsa’s ability to implement projects and expand in the market without a significant increase in the teams, and unlock access to strategic enterprises and accounts that are otherwise difficult to reach directly.

The company also relies on integration with customers’ existing technical infrastructure through open protocols and standards that reduce transformation complexities and shorten implementation time. Therefore, Hamsa’s strategy for entering any new market begins with searching for the right partner before the first customer. This underscores our belief that a strong partnership is the cornerstone for building a sustainable presence and accelerating growth.

 

Hamsa recently concluded a strategic agreement with OmniOps. In your opinion, how will this partnership accelerate the adoption of voice AI technologies within government and private organizations?

The significance of this partnership lies in its ability to address the most prominent barriers to voice AI adoption in the Kingdom, which are no longer related to model quality, but rather revolve around three key questions: where is the data stored? Who operates the solutions within the Kingdom? And how are they integrated with existing systems? The partnership provides comprehensive answers to all these requirements by keeping sensitive voice data within the Kingdom, with an accredited local authority responsible for operations, integration, and support, in compliance with the Personal Data Protection Law (PDPL) and data localization requirements.

This ecosystem enables enterprises to transition from limited pilot phases to full-scale production deployment by providing models, infrastructure, integration, and support within an integrated framework and a single accountable entity, rather than dealing with multiple suppliers and technologies.

Based on Hasma’s experience, this approach could shorten project implementation timelines to between six and nine months, while delivering intelligent Arabic voice services all day long, with all data remaining within the Kingdom's borders.

 

Why does Saudi Arabia represent a priority in Hamsa’s expansion strategy, and where do you see growth opportunities you are targeting over the upcoming period?

Saudi Arabia is the top market for Hamsa for several reasons. First, language and dialects. The company’s technologies have been built from the ground up to understand Arabic and its dialects, particularly the Saudi dialect, rather than adapting a global product to meet local market needs.

Second, the market size. The Kingdom hosts the largest call center operations in the region, especially in the banking, telecommunications, and healthcare sectors, which handle millions of calls per month. This offers significant opportunities to automate repetitive tasks using intelligent voice agents.

Third, the regulatory and strategic environment. Vision 2030 and the National Data and AI Strategy have made AI adoption a national priority, accelerating transformation and uptake.

Fourth, data sovereignty requirements. Though these requirements represent a challenge for many solution providers worldwide, they represent a strength for Hamsa. We designed our solutions to operate within customers’ data centers or via a private cloud hosted within the Kingdom, in line with compliance and data localization mandates.

We see significant growth opportunities in the banking and financial sector, particularly in customer services, card management, collections, and identity verification; in telecommunications, government services, and healthcare, in areas such as patient follow-up and preliminary screening; as well as retail and e-commerce, in order management and delivery services.

 

Beyond Saudi Arabia, which other GCC markets does Hamsa target, and what are your expansion plans for the next few years?

The United Arab Emirates is the second most important strategic market for Hamsa, as it is one of the fastest countries globally in AI adoption, particularly within the government sector, along with its position as a regional innovation hub. Hamsa enables the deployment of its solutions within the country, in line with the regulatory requirements and data sovereignty mandates.

Qatar represents another significant market for the company, notably in the healthcare and government services sectors, while Bahrain and Oman are considered promising markets, where Hamsa relies on local partnerships to reach customers and implement projects efficiently.

Beyond the GCC, Hamsa aims to expand in Egypt, Jordan, and Morocco, given the substantial operational scales these markets offer in communications centers, government services, and the financial sector. The next phase will focus on expanding into global markets by strengthening the platform to support more than 16 languages, leveraging the company’s expertise in developing models that can understand Arabic dialects and switch between languages despite limited data availability.

In all markets it enters, Hamsa adopts a unified approach that depends on three main principles: a local partner with deep market knowledge and established relationships; hosting solutions within the country to ensure compliance with sovereignty and data protection requirements; and providing technical and operational support in accordance with local time.  

 

Amidst the growing competition with global companies, where does the competitive advantage of Hamsa’s Arabic voice AI solutions lie?

It is important to acknowledge that global companies have extensive expertise and substantial budgets to develop AI technologies; however, our competition is not built on scale, but on delivering value that resonates with the needs of the Arab market. We believe Hamsa excels in four key areas: 

  1. Building Arabic models from the ground up. Most global solutions rely on models originally developed in English, with Arabic support added as an afterthought. This limits their ability to understand local dialects and switch between Arabic and English. At Hamsa, we trained our models from the beginning on this linguistic reality.
  2. Owning the full technology stack. Hamsa develops core components of the technology stack through a single platform, from speech recognition and voice synthesis to telecommunications, which ultimately reduces complexity and costs. This enables us to optimize performance, adjust response time, and deliver a stable, reliable experience.
  3. Data sovereignty and compliance. Hamsa’s solutions are designed to operate within customers’ data centers or via a private cloud hosted within the Kingdom, fulfilling the requirements of banks and government entities. Our solutions comply with personal data protection laws in Saudi Arabia and the UAE.
  4. Deep market knowledge. Our teams across the region deeply understand enterprises' needs, procurement dynamics, and regulatory requirements. This enables us to develop solutions tailored to the local market, including models specifically designed for local dialects.

 

How do you see the future of AI Agents in the GCC region?

The voice AI market in the region is moving toward three major shifts, the first of which has already begun:

  1. From pilot phases to full-scale production: Organizations are moving beyond exploring potential and are now seeking scalable, production-ready solutions with high reliability, compliance, and auditability. 
  2. From providing answers to executing procedures: The current generation of intelligent assistants can complete transactions, such as checking balances, booking appointments, opening tickets, and implementing procedures through integration with enterprise systems.
  3. From voice-only to multi-interface experiences. The future points toward intelligent agents that combine voice conversation with visual interfaces, offering option display, sending confirmations, and visualizing order or transaction status. I expect government entities to lead this shift ahead of the private sector, given their focus on improving service quality and enhancing accessibility. The biggest challenge will not be developing the models themselves, but rather integrating them with legacy systems, ensuring compliance with regulatory frameworks, and measuring their business impact through clear, measurable metrics.

Based on your experience, what are the key challenges facing Arab AI companies today, and what does the sector need to accelerate its growth and enhance competitiveness regionally and internationally? 

Voice AI companies in the region face five main challenges. The first is the limited availability of high-quality voice data, especially for Arabic dialects, which forces companies to build their own database from scratch, ultimately slowing model development. Second, the high cost of graphics processing units (GPUs) and sovereign infrastructure, which imposes financial burdens on local companies.

Third, the scarcity of specialists in deep learning and speech processing technologies. This places regional companies in direct competition with global companies for top-tier talent. Securing finance is the fourth challenge, as model development companies require significant investment before generating revenue. 

Fifth, long procurement cycles and preference for global suppliers, along with the absence of unified Arab references to measure model performance, collectively hinder the expansion of local companies.

To accelerate the sector’s growth, the region needs to:

  1. Create common, open Arabic databases and references that support model development.
  2. Provide a sovereign computing infrastructure with competitive costs to promote local innovations.
  3. Expand the presence of specialized investment funds that understand the nature and cycle of developing AI models.
  4. Strengthen regulatory coordination among Gulf countries to reduce the variability of compliance requirements, enabling companies to expand regionally within a unified, more efficient framework.

 

What are Hamsa’s ambitions for the next few years, either on geographical expansion, launching new products, or establishing partnerships?

Hamsa’s roadmap for the upcoming years is centered on four key pillars. Geographically, we focus on strengthening our presence in Saudi Arabia and the UEA, then expanding into other GCC countries, notably Qatar, Kuwait, and Bahrain. Later, we will enter Morocco before expanding into Europe and the US through our multilingual platform.

At the product level, we are pursuing three strategic tracks: expanding the platform to support over 16 languages while preserving Arabic’s positional excellence; developing intelligent agents that integrate voice capabilities with visual interfaces; and advancing custom voice solutions, advanced analytics, and model fine-tuning tailored to the specific needs of various sectors.

On the compliance and security side, we aim to achieve ISO 27001 certification and transition to SOC 2 Type II compliance, while expanding the deployment of voice agents to web applications, smart kiosks, and other environments where voice-based interaction offers superior efficiency.

Hamsa will continue to forge comprehensive partnerships with infrastructure and digital sovereignty partners, system integrators, and customer experience platforms, thereby accelerating our expansion and ensuring implementation quality.

Our ambition for Hamsa is to become the premier choice for Arabic voice AI and subsequently strengthen its position globally through a multilingual platform.

 

Translation: Noha Gad

Synthetic Data vs AI Hallucination: What’s the Difference?

Ghada Ismail

 

As artificial intelligence becomes increasingly embedded in business, not everything an AI system generates should be taken at face value.

Two concepts often create confusion in this context: synthetic data and AI hallucination. Both involve information generated by AI rather than directly collected from the real world, but their roles could not be more different.

One is a tool that can help businesses overcome data limitations. The other is a reliability problem that can undermine trust in AI systems.

 

What Is Synthetic Data?

Synthetic data is artificially generated information designed to replicate the characteristics and patterns of real-world data.

Instead of collecting thousands of real customer transactions, for example, a startup could generate synthetic transactions that mimic realistic purchasing behavior. Similarly, an AI developer could create synthetic images, customer profiles or financial scenarios to train and test an AI model.

This can be particularly valuable for startups that lack access to large datasets or operate in areas where data is sensitive.

Synthetic data can help companies reduce data-collection costs, accelerate AI development and limit exposure to sensitive information. It can also allow developers to test AI systems across scenarios that may be difficult or expensive to reproduce in the real world.

However, synthetic data is only useful when it is representative and properly validated. Poor-quality synthetic datasets can reproduce errors, biases or unrealistic patterns.

 

What Is AI Hallucination?

AI hallucination is something very different.

It occurs when an AI model generates information that sounds convincing but is factually incorrect, unsupported, or completely fabricated.

An AI chatbot, for instance, might invent a statistic, cite a research paper that does not exist, or provide an incorrect explanation with complete confidence.

Hallucinations can occur because generative AI models are designed to predict and generate likely sequences of information. They do not automatically distinguish between what is true and what merely appears plausible.

For businesses, this can become a serious issue. An inaccurate AI-generated answer may be inconvenient in a consumer application but potentially damaging in areas such as financial services, healthcare, legal technology or enterprise decision-making.

 

Synthetic Data vs AI Hallucination

The simplest way to distinguish the two is intention and purpose.

Synthetic data is deliberately created. AI hallucination is an unintended output.

Synthetic data is generated for a specific purpose, such as training, testing, or simulating scenarios. It can be reviewed, measured, and validated before being used.

Hallucinations, by contrast, emerge during an AI system's operation and need to be detected, corrected, or prevented.

In other words, synthetic data can be an AI development asset, while hallucination is an AI reliability risk.

 

Why Does This Matter for Startups?

The distinction is especially important for startups building AI products.

Early-stage companies often face limited access to high-quality data. Synthetic data can provide a way to experiment and develop models without relying exclusively on costly or sensitive real-world datasets.

At the same time, startups must ensure that their AI products do not generate unreliable information. A hallucination can quickly erode customer confidence, particularly when an AI product is being used to make business or financial decisions.

Importantly, synthetic data does not automatically cause hallucinations. However, if synthetic datasets are poorly designed or contain unrealistic patterns, they can affect the quality of the models trained on them.

That makes data validation, testing, and human oversight critical throughout the AI development process.

 

One Is a Tool, the Other Is a Risk

Synthetic data and AI hallucination may both involve AI-generated information, but treating them as interchangeable misses a crucial distinction.

Synthetic data can help startups solve one of AI's biggest challenges: access to useful, scalable, and privacy-conscious data.

Hallucinations represent another challenge: ensuring that AI systems remain accurate and trustworthy.

As businesses move beyond experimenting with AI and begin deploying it in real-world operations, knowing the difference between data that was intentionally generated and information that was unintentionally invented will become increasingly important.

Beyond the peak: How high-water marks keep performance fees fair

Noha Gad

 

In the investment management world, it is common for fund managers to earn a performance fee when they generate strong profits for their clients, but this arrangement can create an unfair situation if those gains are later lost and then partially recovered. Without additional safeguards, a manager could collect a performance fee during a good year, see the portfolio value drop sharply in the following year, and then earn another performance fee simply by bringing the fund back to its earlier level even though investors have not truly benefited from any new gains.

The high-water mark is a widely used rule in hedge funds and other managed investment products that prevents this outcome by linking performance fees to real, additional value creation rather than temporary swings in portfolio value. This rule sets the highest value that the fund has ever reached as a benchmark, allowing managers to charge a performance fee only on profits that rise above that previous peak.

 

What is meant by a high-water mark?

This term refers to the highest level that a body of water reaches, but metaphorically, it refers to the peak value of an investment fund or the highest point of achievement.

In the business realm, the high-water mark is a benchmark investment funds use to ensure investors only pay performance fees when a fund’s value reaches a new peak. It ensures that investors do not have to pay performance fees for poor performance, but, more importantly, guarantees that investors do not pay performance-based fees twice for the same amount of performance.

For asset management companies, including a high-water mark in their fee structure can be a strong signal of fairness and alignment with investors, ultimately contributing to attracting and retaining capital in a competitive market.

From a managerial perspective, the high-water mark encourages a focus on sustainable, long-term performance rather than short-term increases that might be followed by sharp declines. As performance fees are only available after the fund exceeds its highest historical value, managers have a clear incentive to avoid strategies that generate volatile returns with large drawdowns.

 

Why do high-water marks matter?

High-water marks are widely viewed as a key investor protection in hedge funds and other performance-fee-based investment structures, and they bring several clear advantages for both investors and fund managers. This includes:

  • Protecting investors from paying twice for the same gains.
  • Aligning manager incentives with genuine outperformance.
  • Promoting more disciplined risk management.
  • Supporting long-term thinking over short-term spikes.
  • Enhancing trust and credibility with investors.
  • Encouraging clearer communication about performance.

 

In conclusion, the high-water mark is more than a technical fee detail; it is a core element of fair and transparent performance-based compensation in investment management. Setting the fund’s highest historical value as the threshold for performance fees ensures that managers are rewarded only for creating new gains, not for recovering past losses or simply returning to earlier levels.

For investors, this structure provides a clear safeguard against paying twice for the same performance and helps align the manager’s interests with their own long-term outcomes. For managers and firms, it encourages more disciplined risk-taking, supports a focus on sustainable growth, and can strengthen trust and credibility in a competitive market.