Beyond Oil, Beyond Silicon: Can Saudi Arabia Become the Middle East's First Truly Digital Economy?

Jul 21, 2026

Kholoud Hussein 

 

The Kingdom is no longer simply digitizing public services or investing in technology. It is attempting something far more ambitious: rebuilding its economic architecture around data, artificial intelligence, entrepreneurship, and digital infrastructure. The question is no longer whether Saudi Arabia can diversify beyond oil, but whether it can redefine what a modern digital economy looks like in the Middle East.

The Economy Saudi Arabia Is Really Building

For more than eight decades, Saudi Arabia's economic story has been inseparable from oil. Hydrocarbons transformed the Kingdom from a largely desert economy into one of the world's most influential energy producers, financing decades of infrastructure, industrialization, education, and social development. Oil was not merely a source of government revenue; it became the foundation upon which the modern Saudi state was built.

Today, however, Saudi Arabia is pursuing a transformation that is arguably even more profound than the discovery of oil itself. While much of the global conversation continues to focus on the Kingdom's diversification efforts under Vision 2030, a quieter yet far more consequential shift is unfolding beneath the surface. Saudi Arabia is no longer asking how to reduce its dependence on oil. Instead, it is asking what the country's next economic operating system should look like.

Economic diversification has traditionally meant expanding into new industries, whether tourism, manufacturing, logistics, mining, or entertainment. A digital economy, however, represents something fundamentally different. Rather than creating another sector alongside existing ones, it reshapes every sector simultaneously. It changes how governments deliver services, how companies produce goods, how entrepreneurs build businesses, how consumers spend money, and ultimately how economic value itself is created.

In this new model, data becomes a productive asset. Algorithms become economic infrastructure. Cloud computing replaces physical limitations. Artificial intelligence evolves from a technological tool into a driver of productivity, competitiveness, and innovation. The economy becomes less dependent on physical resources and increasingly powered by digital capabilities that transcend geography.

Saudi Arabia's ambitions therefore extend well beyond becoming a technology hub or attracting multinational technology companies. The Kingdom is attempting to redesign the foundations of its economy so that digital technologies become embedded across government, finance, healthcare, education, manufacturing, logistics, energy, and commerce. Success will not be measured by the number of technology companies operating in Riyadh or the volume of venture capital invested in startups alone. It will be determined by whether digital technologies become the default mechanism through which economic activity is created, exchanged, and scaled.

This is precisely why Saudi Arabia's digital transformation deserves to be viewed through an economic rather than a technological lens. Around the world, many countries have successfully digitized government services or expanded internet connectivity. Far fewer have attempted to rebuild their entire economic model around digital capabilities.

The Kingdom believes it can become one of them.

Yet ambition alone has never transformed economies. History offers countless examples of countries that invested billions in technology parks, innovation districts, and digital infrastructure without fundamentally changing how their economies functioned. Building a digital economy requires far more than laying fiber-optic cables or launching government applications. It requires rethinking regulation, attracting capital, cultivating entrepreneurial talent, building trust in digital services, encouraging private-sector innovation, and ensuring that digital technologies generate productivity rather than merely convenience.

Saudi Arabia's challenge, therefore, is not simply technological. It is structural.

The Kingdom must prove that digital transformation can become an engine of sustainable economic growth capable of generating new industries, creating high-value employment, increasing productivity, and positioning Saudi Arabia as a global exporter of digital innovation rather than a consumer of imported technologies.

It is an ambition that reaches beyond Vision 2030 itself. It is about defining what the Saudi economy looks like long after oil ceases to dominate global growth.

 

More Than Diversification: Redefining Economic Value

When policymakers first began speaking about economic diversification in Saudi Arabia, the objective appeared relatively straightforward: reduce dependence on oil revenues by expanding sectors such as tourism, mining, manufacturing, entertainment, logistics, and financial services. These industries would create new jobs, attract foreign investment, and generate alternative sources of national income.

A decade later, that conversation has evolved significantly. Today, diversification is increasingly viewed not as an end goal but as one component of a much larger economic transformation. The emergence of artificial intelligence, cloud computing, advanced analytics, and digital platforms has fundamentally altered how wealth is created in the global economy. Competitive advantage is no longer determined solely by natural resources or industrial capacity. It is increasingly shaped by a country's ability to generate, process, and commercialize data.

This shift helps explain why Saudi Arabia's investments in digital infrastructure have accelerated alongside investments in traditional economic sectors. The Kingdom is not merely building new industries; it is building the digital foundations upon which those industries will operate. The distinction is subtle but profound.

A tourism strategy can increase visitor numbers. A digital economy transforms the entire tourism value chain, from digital visas and intelligent transportation systems to AI-powered hospitality services, cashless payments, predictive demand forecasting, and personalized travel experiences. Manufacturing no longer depends exclusively on factories but on connected supply chains, industrial automation, predictive maintenance, and real-time analytics. Financial services become embedded into digital platforms rather than confined to bank branches.

In this sense, digital transformation ceases to be an ICT initiative and becomes national economic policy.

This is one of the defining characteristics of Saudi Arabia's approach. Rather than treating technology as a standalone industry, policymakers increasingly present digital capabilities as horizontal enablers capable of increasing productivity across virtually every sector identified in Vision 2030.

The result is a new understanding of economic value. Instead of asking how many barrels of oil the Kingdom exports, policymakers are beginning to ask how many digital transactions are processed daily, how much private capital flows into technology ventures, how many startups commercialize locally developed innovations, and how effectively data can be transformed into economic output.

Such questions would have seemed peripheral to Saudi Arabia's economic strategy only a decade ago. Today, they sit much closer to its center.

And perhaps that is the clearest indication that Saudi Arabia is pursuing something more ambitious than diversification. It is attempting to redefine the very mechanisms through which economic growth is generated.

Building the Digital Backbone: Why Infrastructure Became Saudi Arabia's New Strategic Resource

Every industrial revolution has depended on infrastructure. The railways powered the first age of industrialization. Electricity transformed manufacturing in the twentieth century. Highways connected national markets and accelerated trade. Today, the infrastructure that determines economic competitiveness is far less visible. It consists of fiber-optic cables buried beneath cities, hyperscale data centers, cloud computing platforms, artificial intelligence clusters, and billions of digital transactions flowing silently through secure networks every day.

Saudi Arabia recognized early that becoming a digital economy would require far more than launching government applications or encouraging online commerce. Digital services can only flourish when supported by an infrastructure capable of processing vast amounts of data securely, reliably, and at scale. In other words, before building digital businesses, the Kingdom first had to build a digital backbone.

That realization has fundamentally shaped Saudi Arabia's digital strategy over the past decade.

Unlike many countries where digital infrastructure evolved gradually through private-sector investments, Saudi Arabia adopted a coordinated national approach. Government entities, regulators, sovereign wealth funds, and global technology companies have worked simultaneously to establish the physical and regulatory foundations of the digital economy. The objective has never been limited to improving internet speeds or expanding telecommunications coverage. Instead, the Kingdom has sought to create an environment where digital businesses can emerge, scale, and compete internationally.

This explains why investments in telecommunications infrastructure have been accompanied by equally significant reforms in digital governance, cybersecurity, cloud regulation, spectrum allocation, and data management. Digital infrastructure, in the Saudi context, is viewed not as a utility but as a productive economic asset capable of attracting investment, reducing transaction costs, and increasing national competitiveness.

The impact of this strategy becomes particularly evident when examining how businesses now operate. A startup launching today in Riyadh enters a fundamentally different environment than one established only ten years ago. Cloud services can be deployed almost instantly. Payment systems are increasingly integrated. Government licensing has become significantly faster. Digital identity solutions simplify customer onboarding, while advanced logistics and communications networks enable companies to reach customers across the Kingdom with unprecedented efficiency.

For entrepreneurs, this infrastructure removes many of the barriers that once slowed business creation. For investors, it reduces operational risk. For multinational corporations, it provides the confidence to establish regional operations capable of serving broader Middle Eastern markets.

In many respects, infrastructure has become Saudi Arabia's most important competitive advantage.

This advantage extends well beyond connectivity. The Kingdom has increasingly positioned itself as a regional destination for cloud computing, recognizing that data storage and processing capacity will become as strategically important in the twenty-first century as ports, highways, and industrial zones were in previous decades.

The arrival of global technology companies reflects this shift. International cloud providers have announced significant investments in Saudi Arabia, encouraged by regulatory reforms, expanding demand, and the government's commitment to developing local digital capabilities. Rather than exporting data abroad, Saudi Arabia is gradually building the capacity to process, store, and analyze information domestically, strengthening both economic resilience and digital sovereignty.

The importance of cloud infrastructure cannot be overstated. Artificial intelligence applications require enormous computing power. Digital banking depends on secure cloud environments. Smart factories generate millions of data points daily. Autonomous transport systems rely on real-time information processing. None of these innovations can scale without robust digital infrastructure operating continuously behind the scenes.

As digital technologies become embedded across every industry, infrastructure itself begins to influence productivity. Faster networks reduce business costs. Secure cloud environments accelerate innovation. Reliable digital identity systems simplify financial transactions. Integrated government platforms reduce administrative burdens. Each improvement may appear incremental, yet together they reshape how economic activity occurs.

This transformation has also altered the relationship between the public and private sectors.

Historically, governments built roads, airports, and power stations while businesses invested in commercial opportunities. In the digital economy, these roles increasingly overlap. Governments establish digital platforms and regulatory frameworks, while private companies build products and services on top of them. The result is a more collaborative model in which public infrastructure creates opportunities for private innovation rather than replacing it.

Saudi Arabia's digital government initiatives illustrate this evolution particularly well. Instead of merely digitizing paperwork, government agencies have developed interoperable digital platforms that businesses can integrate directly into their operations. Entrepreneurs no longer spend weeks navigating administrative procedures that once required multiple physical visits to government offices. Licensing, taxation, customs, and regulatory compliance are increasingly handled through integrated digital systems, allowing companies to devote more resources to growth and innovation.

This seemingly administrative transformation carries profound economic implications. Time, after all, is one of the most valuable resources for any entrepreneur. Reducing bureaucratic friction does more than improve convenience; it lowers the cost of doing business. For startups operating with limited capital and tight timelines, these efficiencies can determine whether a company succeeds or fails.

Infrastructure has therefore become an invisible form of venture capital. Instead of financing individual companies, the government finances the environment in which thousands of companies can emerge.

Perhaps the most striking aspect of Saudi Arabia's digital infrastructure strategy is that it has been designed with future technologies in mind rather than current demand alone. Investments in artificial intelligence, edge computing, high-performance cloud services, cybersecurity, and advanced connectivity anticipate an economy that does not yet fully exist but is expected to emerge over the coming decades.

This long-term perspective distinguishes infrastructure planning from many earlier digital initiatives around the world, which often focused on solving immediate administrative problems. Saudi Arabia is instead attempting to create digital capacity before demand reaches its peak, positioning itself to capture future industries rather than reacting to them after they mature elsewhere.

Yet infrastructure alone cannot produce innovation.

Fiber-optic networks do not create startups. Data centers do not invent new business models. Artificial intelligence platforms do not automatically generate globally competitive companies. They provide the conditions under which innovation becomes possible, but they cannot substitute for entrepreneurship itself.

That is where the private sector enters the story.

As Saudi Arabia's digital foundations have matured, a new generation of startups has begun transforming public investment into commercial opportunity. They are not merely benefiting from the Kingdom's digital transformation; increasingly, they are becoming the mechanism through which that transformation reaches consumers, businesses, and global markets.

The digital backbone may have been built by national strategy, but its true economic value will ultimately be measured by the companies that grow upon it.

The Startup Layer: Where National Strategy Meets Entrepreneurial Innovation

Governments can build infrastructure. They can modernize regulations, invest in artificial intelligence, establish cloud regions, and digitize public services. Yet history has consistently shown that governments rarely create the innovations that transform everyday economic life. Those breakthroughs almost always emerge from entrepreneurs who recognize market inefficiencies long before policymakers do.

Saudi Arabia appears to understand this distinction. While much international attention has focused on the Kingdom's multi-billion-dollar investments in digital infrastructure and flagship projects such as NEOM, an equally significant transformation has been unfolding within its entrepreneurial ecosystem. Over the past decade, startups have evolved from peripheral players into one of the principal instruments through which the Kingdom's digital ambitions are being translated into commercial reality.

This shift represents a fundamental change in how economic development is being pursued.

For decades, economic growth in Saudi Arabia was largely driven by public expenditure. Government investments created industries, generated employment, and stimulated private activity. Today's digital economy, however, operates according to different rules. Innovation moves too quickly to be directed exclusively through public institutions. Consumer preferences evolve faster than regulation. Technologies become obsolete within years rather than decades. Under these conditions, entrepreneurship becomes not merely desirable but indispensable.

The Kingdom's role, therefore, has gradually evolved from being the primary driver of economic activity to becoming an enabler of entrepreneurial innovation.

This philosophy is increasingly visible across the Saudi startup landscape.

Rather than attempting to build digital services directly, public institutions have concentrated on creating the conditions in which private companies can solve market problems more efficiently. The result is an ecosystem where government provides the infrastructure, regulatory certainty, and access to capital, while entrepreneurs compete to create scalable solutions for consumers and businesses alike.

It is a relationship that has become one of the defining characteristics of Saudi Arabia's digital transformation.

Perhaps nowhere is this more evident than in electronic commerce.

Only a decade ago, launching an online retail business in Saudi Arabia presented significant logistical and operational challenges. Payment systems remained fragmented. Small businesses struggled to establish digital storefronts. Inventory management, shipping integration, customer analytics, and marketing tools were often inaccessible or prohibitively expensive for entrepreneurs.

Today, much of that complexity has disappeared.

Companies such as Salla and Zid have fundamentally changed how commerce operates across the Kingdom. Rather than simply providing website-building software, these platforms have developed integrated ecosystems that allow thousands of small and medium-sized enterprises to establish digital businesses with unprecedented speed. Payments, logistics, inventory management, marketing automation, customer engagement, and analytics are increasingly delivered through unified digital platforms, lowering the barriers to entrepreneurship for an entirely new generation of business owners.

In doing so, these companies have accomplished something larger than technological innovation. They have democratized access to entrepreneurship itself.

A similar transformation has occurred within financial technology.

Traditional banking systems often struggle to serve rapidly evolving digital businesses whose operational models differ significantly from conventional enterprises. Fintech startups have emerged precisely because they can respond more quickly to changing customer expectations.

Companies such as Tamara, which pioneered the rapid adoption of Buy Now, Pay Later (BNPL) services across the Gulf, have redefined consumer finance for younger generations accustomed to seamless digital experiences. Rather than viewing finance as a standalone banking product, these companies have embedded financial services directly into digital commerce, shortening purchasing journeys and expanding access to credit.

The significance of this innovation extends beyond consumer convenience.

Embedded finance fundamentally changes how money circulates within the economy. Transactions become faster, merchants experience improved cash flow, consumers gain greater purchasing flexibility, and digital commerce accelerates. What appears to be a simple payment option ultimately increases economic activity across multiple sectors simultaneously.

Equally transformative has been the emergence of Saudi startups specializing in artificial intelligence.

While much global discussion surrounding AI continues to revolve around large language models and consumer-facing applications, several Saudi companies have chosen a different path, focusing on enterprise solutions tailored to regional markets.

Companies such as Mozn have demonstrated how artificial intelligence can address highly specialized challenges in financial crime detection, compliance, fraud prevention, and risk management. Their success illustrates an important evolution within Saudi entrepreneurship. Rather than replicating Silicon Valley consumer applications, an increasing number of Saudi startups are developing technologies designed to solve complex business and institutional problems.

This transition from consumer applications to enterprise technology represents a critical milestone in any innovation ecosystem.

It indicates that entrepreneurship is beginning to create intellectual property rather than simply adapting existing business models.

A similar trend can be observed in companies like Lucidya, whose artificial intelligence platform enables organizations to analyze Arabic-language digital conversations across social media and online channels. By developing technologies specifically optimized for Arabic, Lucidya addresses a challenge largely overlooked by many global software providers.

Its competitive advantage lies not merely in technology, but in contextual understanding.

This highlights another defining characteristic of Saudi Arabia's startup ecosystem. Increasingly, local companies are identifying opportunities that international competitors cannot easily replicate because they require deep familiarity with regional languages, consumer behavior, regulatory frameworks, and business culture.

In many ways, localization itself has become a strategic advantage.

The construction and industrial sectors offer another compelling example.

Saudi Arabia's unprecedented investment in megaprojects has created demand for digital solutions capable of improving safety, productivity, and operational efficiency. Companies such as WakeCap have responded by integrating wearable technologies and real-time analytics into construction sites, enabling project managers to monitor workforce movements, improve safety standards, and optimize project execution through data-driven insights.

These innovations may appear highly specialized, yet their cumulative economic impact is substantial.

Construction productivity influences infrastructure delivery. Infrastructure affects logistics. Logistics shapes manufacturing competitiveness. The ripple effects extend throughout the broader economy.

The same pattern is emerging across healthcare, education, logistics, cybersecurity, climate technology, and industrial automation.

They identify inefficiencies invisible to large institutions and transform them into scalable business opportunities.

That capacity for experimentation may ultimately become one of Saudi Arabia's greatest competitive advantages.

Unlike traditional economic development strategies, which often depend upon large industrial investments with long implementation cycles, startups compress innovation into months rather than years. New products are tested rapidly, customer feedback is incorporated continuously, and successful models scale across markets with remarkable speed.

This entrepreneurial agility has become increasingly important as digital technologies evolve faster than regulatory frameworks can adapt.

Recognizing this reality, Saudi Arabia has invested heavily not only in startups themselves but in the ecosystem surrounding them.

Events such as LEAP have evolved into global platforms connecting founders with venture capitalists, multinational technology companies, policymakers, and institutional investors. Initiatives led by Monsha'at, the National Technology Development Program (NTDP), and innovation hubs such as The Garage have sought to reduce many of the structural obstacles traditionally associated with entrepreneurship, including access to funding, mentorship, technical expertise, and international networks.

The Public Investment Fund has further reinforced this momentum by channeling significant capital into technology-focused initiatives and attracting global venture investors to the Kingdom.

The cumulative effect is becoming increasingly visible. Saudi Arabia is no longer merely producing successful startups. It is beginning to produce an innovation economy. A startup ecosystem measures the number of companies created.

An innovation economy measures how effectively those companies reshape productivity, generate intellectual property, attract global capital, and create entirely new industries.

Saudi Arabia appears increasingly focused on the latter.

Yet becoming the Middle East's first truly digital economy will require more than a vibrant startup ecosystem. It will require demonstrating that digital technologies can transform not only new companies, but also traditional industries that continue to account for the overwhelming majority of national output.

The next phase of Saudi Arabia's transformation, therefore, may prove to be its most difficult: extending digital innovation beyond startups and embedding it into the wider economy, from manufacturing and logistics to healthcare, tourism, mining, and energy itself.

 

 

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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.

World Entrepreneurs Day: Saudi Arabia’s Entrepreneurial Rise Enters a New Phase

Ghada Ismail

 

Every entrepreneur starts with an idea, but an economy becomes truly entrepreneurial when those ideas translate into businesses, jobs, investment, and new industries.

For Saudi Arabia, that transition is becoming increasingly visible.

As the Kingdom marks World Entrepreneurs Day on 21 August 2026, entrepreneurship is no longer a marginal part of its economic diversification agenda. It has become one of the key mechanisms through which Saudi Arabia is seeking to build a more dynamic private sector, create employment opportunities and develop new sources of non-oil growth.

The latest figures suggest that this transformation is gathering momentum.

According to the Global Entrepreneurship Monitor (GEM), Saudi Arabia’s Total Early-stage Entrepreneurial Activity (TEA), which measures the proportion of people aged 18 to 64 who are either starting a business or running a new one, reached 28.9% in 2025, up from 26% in 2024. The rate has more than doubled from 12.1% in 2018, highlighting the rapid expansion of early-stage entrepreneurial activity over the past seven years.

That growth is supported by an even larger pool of potential entrepreneurs. Entrepreneurial intentions reached 48.5% in 2025, meaning nearly one in two working-age adults not already involved in entrepreneurial activity intended to start a business within the next three years.

The figures point to something broader than a startup boom: a shift in attitudes toward entrepreneurship itself.

GEM found that around nine in 10 adults in Saudi Arabia either know someone who has recently started a business, believe they have the skills and experience to do so, or see good opportunities to establish a company locally. The findings suggest that entrepreneurship is increasingly viewed not simply as an alternative to employment, but as a viable career and wealth-building path.

 

From intention to business creation

Intentions, however, only matter when they translate into businesses.

Here, Saudi Arabia's latest company formation figures provide another indication of momentum.

During the first half of 2026, 46,900 new companies were established in the Kingdom, according to the Saudi Competitiveness and Business Center. During the same six-month period, the center delivered more than 2.9 million services to businesses, registered 86,800 establishments and verified 3,500 online stores.

The numbers reflect an increasingly streamlined environment for entrepreneurs. The center now connects businesses to around 4,800 services through integration with 80 government entities, covering areas ranging from company formation and licensing to tax, zakat and commercial registration.

This infrastructure matters because entrepreneurship is shaped not only by access to capital, but also by how easy it is to turn an idea into a legally operating business.

Saudi Arabia's broader competitiveness indicators also point in the same direction. The Kingdom ranked 13th globally and third among G20 economies in the 2026 World Competitiveness Yearbook, while authorities say around 1,000 legislative, procedural and technological reforms have been implemented to improve the business environment.

 

Capital follows opportunity

The evolution of entrepreneurship can also be measured by the willingness of investors to back Saudi founders.

Saudi Arabia recorded its strongest venture capital year on record in 2025, with both funding and transaction activity reaching new highs, according to MAGNiTT. The Kingdom raised $1.72 billion across 257 venture capital deals, making it the largest venture capital market in MENA by both funding and deal activity.

The momentum continued into 2026, although the market became more selective.

MAGNiTT's H1 2026 Saudi Arabia Venture Capital Report found that funding declined 74% year on year to $219 million, while deal count fell 41% to 72 transactions. Despite the slowdown, Saudi Arabia remained one of MENA's most active venture markets, although its share of regional funding fell sharply from 49% in H1 2025 to 16% in H1 2026.

The changing funding landscape is important. A mature ecosystem is not necessarily one where funding rises every year. It is one where investors increasingly distinguish between scalable businesses, sustainable business models and companies that can generate long-term value.

 

The next challenge: building companies that last

Saudi Arabia's entrepreneurial story, therefore, is no longer simply about how many companies are being created.

The more important question is how many can survive, scale, and become major employers or regional businesses.

This is particularly relevant because GEM found that while the percentage of adults starting or running new businesses reached 28.9% in 2025, established business ownership fell to around one in eight adults, compared with around one in five a year earlier.

The gap highlights the next stage of Saudi Arabia's entrepreneurial journey: turning a high volume of early-stage activity into businesses that survive, scale and contribute to long-term economic growth.

Creating a company is only the first milestone. Entrepreneurs need access to follow-on funding, skilled talent, customers, technology and international markets if startups are to progress from early-stage ventures into durable businesses.

There are encouraging signs. Four in five Saudi new entrepreneurs surveyed by GEM anticipated employing more than five additional people within five years, pointing to strong growth and employment ambitions among the country's emerging business owners. At the same time, digital technology is becoming increasingly central to how these entrepreneurs reach customers and grow, with a similar proportion expecting to use more digital technology to sell their products in the following six months.

For World Entrepreneurs Day 2026, this may be the most important story behind the numbers.

Saudi Arabia is not simply producing more entrepreneurs. It is building the infrastructure, capital markets and institutional environment around them.

The Kingdom's next entrepreneurial chapter will be measured not only by the number of startups founded, but by the number that scale from local ideas into national champions, regional platforms and global companies.

That is where the real economic impact of Saudi entrepreneurship will ultimately be decided.

What Running Our Own AI and GPU Stack Taught Us About Managing Agentic AI

By: Ahmed Rashad, Sr. AI Specialist, Middle East & Africa at Nutanix

 

Have you seen this film before? A new technology arrives, powerful and effortlessly accessible. Departments spin up projects with minimal oversight from IT or finance. The first efforts reproduce old ways of working, and then somebody rethinks the workflow entirely, and the pace picks up. Then the invoice arrives, and the organization discovers it must bring things under control without cutting off access, because access is now how the work gets done.

 

That was the cloud, twenty years ago. It is gen AI today, on fast forward. What took cloud most of a decade is taking enterprises about eighteen months.

 

We watch this from two seats. We run our own AI workloads on our own GPUs, so we have made these mistakes with our own money. We also sit alongside a great many organizations making them at the same time, in different industries and under different regulatory regimes. The striking thing is how little the story varies.

 

Everyone’s first question is the wrong one

It is almost always “which model?”, and it is the question that matters least, because the answer changes every quarter.

 

The question that survives contact with production is what a unit of work costs. Not cost per token, but cost per resolved support ticket, per merged pull request, per document retrieved. The unit price keeps falling while total spend keeps climbing, because cheaper inference simply means more inference. Jevons would have recognized it immediately.

 

The same discipline applies to the benefit side. Where organizations measure carefully, the gains tend to land in a recognizable range: on the order of 10 to 15 percent for support teams, and 20 to 25 percent in feature delivery velocity for engineering teams. Those numbers are only worth quoting when they have been instrumented beforehand, against a baseline captured before deployment. Worth knowing: a randomized trial by METR found that experienced developers completed real tasks 19 percent slower with AI tools, while believing they had been 20 percent faster. If you cannot say how you measured, you have a feeling rather than a result.

 

Agents are not chatbots, and they do not fail like chatbots

This is the shift most organizations are unprepared for. A person using an assistant makes a request and receives an answer, and both the cost and the blast radius are bounded by their attention. An agent decides for itself how many steps to take, which systems to touch, and what to do with whatever it finds. The same instruction on a different day produces a different number of tool calls, a different bill, and a different set of side effects.

 

Which means the controls that work are the ones you would apply to a new joiner with production access, not the ones you would apply to software licenses. An identity for every agent, distinct from the human who launched it. Permissions scoped to each tool and each system, because MCP support is table stakes now, but speaking MCP and letting you grant

an agent read access there and write access nowhere are very different things. Budget ceilings that are enforced rather than alerted on. Traces detailed enough to reconstruct why an agent took eleven steps rather than three. And a human gate on anything irreversible.

 

The organizations getting this right have arrived at the same architectural conclusion independently. Those decisions cannot live inside each application. They belong at a single point that every agent’s requests pass through, so that policy, spend and audit are answered once for the whole estate rather than reimplemented project by project.

 

Running inference in production is a different discipline from running a pilot

A demo needs one model to work once. Production needs many models to work continuously, at predictable cost, while the field moves underneath you. Every organization we work with has replaced a model in production faster than it expected to, whether because of a cheaper open weight release, a regulatory constraint, or a change in vendor pricing. The ones who suffered were those who had welded a specific model to a specific location and a specific set of applications.

 

Flexibility here is not a luxury; it is the whole game: serving different models for different tasks, sizing endpoints to demand, and sharing GPUs across workloads through partitioning and scheduling rather than dedicating them. And, unfashionably, batch. Document classification, index rebuilds and evaluation runs do not care whether they complete at 14:00 or at 04:00. Defer them, and interactive workloads get the daytime capacity they need. Banks ran on this logic throughout the mainframe era. It was never wrong. It merely stopped being necessary when compute was cheap.

 

Location is becoming a variable, not a decision

Public cloud wins on speed and on access to the newest hardware. Other forces push the opposite way. Data residency and sovereignty requirements are no longer a compliance checkbox to be satisfied at the end of a project. For a growing number of organizations, they determine which workloads can exist at all, and where. Add data gravity, latency to customers, and the economics of sustained utilization, and owned or collocated infrastructure starts to look like the sensible home for a meaningful share of inference.

 

Meanwhile, a new class of specialized GPU providers has appeared, and some of the organizations we work with are becoming those providers themselves, turning regional advantage and spare capacity into a business of their own.

 

Nobody gets this allocation right at the first attempt. What matters is that getting it wrong stays cheap to correct: that a workload can move between owned, rented and regional infrastructure without being rewritten, and that governance follows it when it moves.

 

Do not build a walled garden

The temptation is to stand AI up as a separate estate, with its own tooling, its own rules and its own team, deliberately quarantined from everything else. There are two problems with that.

 

The first is that agents produce nothing of value until they can reach the systems and the data where your business actually runs. A wall built for safety very often becomes the reason a promising pilot never becomes production. The capability works. It simply is not allowed near anything that matters.

 

The second is the arithmetic of running everything twice. Two sets of policies, two audit trails, two places to look during an incident, and two opportunities for them to contradict each other, while the people who understand your controls best sit on the far side of the wall from the workloads that need them most.

 

The organizations moving fastest treat AI as a workload like any other, subject to the same access model, the same operational discipline and the same teams, with the controls that are specific to AI layered on top rather than rebuilt alongside.

 

Where that leaves us

There is no magic bullet for a technology moving this fast, and anyone selling one is selling something else. But the discipline transfers even when the tools do not. Measure cost per unit of work. Instrument your claims before you repeat them. Give agents identities, budgets and boundaries, enforced in one place. Keep models and workloads free to move. And govern all of it with your estate rather than beside it.

 

The film is on fast forward, and none of us gets to slow it down. But you can learn the genre well enough to see the twists coming, and avoid being the character who loses the plot.

What Is an Entrepreneur-in-Residence (EIR)?

Ghada Ismail

 

Starting a company usually means dealing with uncertainty from day one. There is no guaranteed market, no perfect product, and often no clear answer to what comes next. This is exactly where an Entrepreneur-in-Residence (EIR) can make a difference.

An EIR is an experienced entrepreneur who temporarily joins an organization such as a venture capital firm, accelerator, incubator, university, or large company. The idea is fairly simple: bring someone with real experience of building businesses into an environment where new ideas are being explored.

But an EIR is not just another adviser sitting in meetings and giving founders advice. Depending on the organization, they may be expected to find a business opportunity, test an idea, work with startups, build a product, or even create a new company.

 

So, What Does an EIR Actually Do?

There is no single job description for an Entrepreneur-in-Residence. The role can look very different from one organization to another.

At a venture capital firm, an EIR might spend time looking at new markets and technologies, meeting founders, helping portfolio companies, or developing a startup idea that the firm believes could have potential.

In other cases, the EIR may already have an idea. The organization provides access to its network, resources, funding, or expertise while the entrepreneur works on turning that idea into something viable.

 

EIR vs. Consultant: What’s the Difference?

The two roles can sound similar, but there is an important distinction. A consultant is usually brought in to solve a specific problem. They analyze the situation, provide recommendations, and move on to the next project. An EIR is generally much closer to the building process. They might spot an opportunity, test whether customers actually want the product, find potential co-founders, develop an early version of the business, and eventually launch it.

In other words, a consultant is often paid to advise, while an EIR may be expected to build.

 

Why Are Venture Capital Firms Interested in EIRs?

For VC firms, an EIR can be a way to create opportunities rather than simply wait for founders to walk through the door.

Experienced entrepreneurs often know how to recognize problems worth solving. They also understand what it takes to turn an early idea into a company. By bringing these people into the firm, investors can explore new sectors and business models from the inside.

There is another advantage: relationships.

An experienced entrepreneur usually brings a network of founders, engineers, executives, investors, and industry specialists. That network can be valuable when an idea starts moving from the whiteboard to the real world.

 

What Makes a Good EIR?

Being a successful founder is helpful, but it is not enough.

A good EIR needs to be comfortable with uncertainty. They need to know how to ask the right questions, test assumptions quickly, and recognize when an idea is not working.

Curiosity is just as important as experience. Markets change, technologies evolve, and what worked for a previous startup may not work for the next one.

Most importantly, an EIR needs to be willing to get their hands dirty. Building a company involves far more than having a good idea. It means speaking to customers, testing products, recruiting people, changing direction, and sometimes starting over.

 

To Wrap Things Up…

An Entrepreneur-in-Residence is essentially an experienced builder given the time, space, and resources to explore what could come next. For investors and organizations, it can be a way to uncover new opportunities while bringing entrepreneurial experience closer to the decision-making process. For entrepreneurs, it offers a chance to explore their next move without having to start entirely from zero.

As startup ecosystems become more sophisticated, the EIR model offers an interesting middle ground between building, investing, and exploring.