Building Tomorrow: How PropTech is Shaping Saudi Arabia

Sep 15, 2025

Ghada Ismail

 

Saudi Arabia’s real estate sector is in the midst of a profound transformation, driven by the rapid adoption of Property Technology (PropTech). No longer confined to the fringes of the industry, PropTech has become a game-changer, reshaping property transactions, management, and investment with cutting-edge digital solutions. 

 

The range of PropTech capabilities broadens to include significant instruments starting from AI-powered property matchmaking to blockchain-secured contracts, virtual property tours, or AI-driven property management, rewriting the rules of real estate. With Vision 2030 fueling a national shift toward innovation and sustainability, Saudi Arabia is emerging as a powerhouse in the global PropTech revolution. As investors, startups, and policymakers rally behind this digital shift, the Kingdom is setting a new standard for how real estate is bought, sold, and managed in the 21st century.

 

Understanding the PropTech Ecosystem

PropTech encompasses a wide range of technologies designed to improve real estate processes. These innovations include AI-driven property valuations, blockchain-based transactions, smart building solutions, and IoT-integrated urban planning. The integration of these technologies into Saudi Arabia’s real estate sector is fostering transparency, efficiency, and smarter decision-making across the board. 

 

Speaking the language of numbers, Saudi Arabia’s PropTech sector saw a 35% annual increase in venture capital investments in 2023, reaching $9 million, according to a report issued by the leading startup directory MAGNiTT.

The Kingdom is said to be leading the Middle East, Africa, Pakistan, Turkiye, and Southeast Asia in deal count, closing six PropTech transactions last year. In total funding, Saudi Arabia ranked fifth among these markets, further cementing its position as a growing hub for real estate innovation.

 

Despite a broader global slowdown in PropTech funding, the Saudi market demonstrated resilience, aligning with the country’s Vision 2030 initiatives that promote real estate digitalization and smart technology adoption.

The report also highlighted that key PropTech subsectors, including property marketplaces, co-working spaces, tenancy management, and facility management, continue to attract investor interest in the Kingdom. 

 

Saudi Arabia’s Real Estate Market: A Breeding Ground for PropTech

In October last year, the Real Estate General Authority (REGA) announced the launch of a Saudi PropTech Hub (sph) at the opening of the Global PropTech Summit, with an ambition to serve entities interested in real estate technology, both domestically and internationally.
 

The hub’s main aim is to provide services designed to strengthen stakeholders in the sector, acting as a primary channel for innovation in real estate technologies in the Kingdom with several key initiatives included in sph: the regulatory sandbox, the real estate technology accelerator, the Global PropTech Summit itself, and the PropTech Council.
as a natural result of such comprehensive efforts, the Kingdom planted every possible seed to become a fertile ground for the PropTech revolution with several key factors driving this transformation.

 

What’s Driving PropTech Growth in Saudi Arabia

Saudi Arabia’s Vision 2030 initiative is a key factor in propelling the growth of the PropTech market. The Kingdom is working hard to reduce its reliance on oil and diversify its economy, with real estate being one of the focal points. With large investments flowing into infrastructure, urban development, and smart city projects, the stage is set for PropTech to thrive and reshape the real estate landscape.

 

The country’s real estate market is also booming, fueled by rapid urbanization, a growing population, and a rising demand for both residential and commercial properties. This surge in growth is creating a need for PropTech solutions that can make property management smoother, improve the user experience, and increase efficiency across the board.

 

On top of this, technological advancements play a huge role in the sector’s evolution. The rise of smartphones, internet connectivity, and cloud computing are all creating the perfect environment for PropTech solutions to flourish. Plus, the government is actively supporting the digital transformation of industries, accelerating PropTech adoption in real estate.

 

Finally, the entrepreneurial spirit is alive and well in Saudi Arabia. With a young, tech-savvy population, the Kingdom is seeing a wave of startups bringing fresh, innovative ideas to the PropTech space. These startups are pushing the boundaries of what’s possible, offering solutions that address the changing needs of property owners, investors, and tenants alike.

 

Breaking Down the Saudi PropTech Market

The PropTech market in Saudi Arabia can be divided into several areas, with different solutions and applications catering to diverse needs.

  • Business Intelligence: These tools focus on data analytics, offering insights into market trends, property performance, and investment opportunities.
  • Facility Management: Solutions designed to streamline the management of building operations, maintenance, and services.
  • Portfolio Management: Tools that help manage and optimize property portfolios, including risk management and asset allocation.
  • Real Estate Search: Platforms making it easier to search for residential and commercial properties, with the integration of virtual and 3D touring options.
  • Asset Management: Solutions for handling property assets, from leasing to sales and maintenance.
  • Enterprise Resource Planning (ERP): These systems integrate all aspects of real estate operations, from finances to human resources.
  • Others:  Niche solutions such as legal tech, property financing, and tenant management systems are also making their mark.

 

Key Players and Emerging Startups

Saudi Arabia’s PropTech landscape is home to a mix of established players, disruptive startups, and government-backed initiatives. Here are some of the most influential entities reshaping the sector:

Leading Startups Driving PropTech Innovation

  • Sakan: Sakan property technology platform is a leading full-stack real estate marketplace, founded to provide a unique and integrated property experience for various stakeholders in the real estate sector. Sakan comes with a mission to offer innovative and creative PropTech solutions in the MENA region and digitize various aspects of the property journey. Sakan sets its key objective to facilitate and enhance real estate transactions and effectively cater to the growing demand by real estate agents, property management companies, landlords, and tenants. A cutting-edge PropTech platform, Sakan offers AI-driven property matching and digital rental agreements.
  • Musanada : Specializing in smart property management solutions that leverage automation for maintenance, tenant interactions, and real-time analytics, Musanda is an award-winning facilities service in Saudi Arabia offering a full range of integrated facilities management solutions tailored to meet client needs.
  • Bayut and Dubizzle (Emerging in Saudi Market):  Dubai-based listings sites expanding their presence in Saudi Arabia to introduce a comprehensive property search and transaction platform.

Institutional and Government-Backed Initiatives

  • Public Investment Fund (PIF): Spearheading investments in real estate tech startups as part of its broader economic diversification strategy.
  • Saudi Venture Capital Company (SVC): Supporting early-stage PropTech startups through funding, mentorship, and growth acceleration programs.
  • Ejar System: A government-backed digital rental platform that aims to regulate and streamline the leasing process across the Kingdom. Ejar is a comprehensive rental service e-network established with the aim of regulating the real estate rental sector in Saudi Arabia and preserving the rights of all parties involved in the leasing process —tenant, lessor, and broker. To foster growth in the real estate rental sector and promote its reliability, Ejar offers a large set of e-solutions. Real estate investment is also encouraged by the Program.

The Challenges Facing Saudi Arabia’s PropTech Boom

Despite its rapid ascent, the PropTech sector in Saudi Arabia faces several challenges that could slow its momentum:

  • Regulatory Complexity: Navigating the evolving legal landscape for digital property transactions can be daunting for startups and investors alike.
  • Data Security and Privacy Concerns: As PropTech platforms digitize sensitive real estate data, cybersecurity threats become a major concern.
  • Adoption Resistance from Traditional Players: Many established real estate firms remain hesitant to embrace new technology, slowing down sector-wide transformation.
  • Infrastructure and Connectivity Issues: Although Saudi Arabia is rapidly expanding its digital infrastructure, certain regions still face challenges in seamless PropTech adoption.

How Startups Are Overcoming These Barriers

Forward-thinking PropTech startups are addressing these obstacles through strategic initiatives:

  • Collaboration with Regulators: Companies are working closely with the Saudi government to shape policies that encourage digital transformation while ensuring compliance.
  • Embracing Blockchain and AI for Transparency: Technologies like smart contracts and AI-powered risk assessments are being deployed to enhance trust and security in property transactions.
  • Developing Market Education Strategies: Through partnerships with real estate developers and consumer awareness campaigns, PropTech firms are fostering greater acceptance of digital solutions.

Future Trends: Where is Saudi PropTech Headed?

Saudi Arabia’s PropTech scene is poised for further disruption, with several emerging trends set to shape its future:

  • Smart City Expansion: As giga-projects like NEOM continue to evolve, PropTech solutions will play a critical role in enabling AI-driven urban planning and sustainable living.
  • AI-Enhanced Marketplaces: Property platforms will increasingly leverage AI and big data to offer predictive insights, personalized recommendations, and automated pricing models.
  • Blockchain-Powered Real Estate Transactions: Expect to see wider adoption of decentralized ledgers to facilitate transparent and secure real estate dealings.
  • FinTech-PropTech Convergence: The integration of digital mortgage platforms, tokenized property investments, and AI-driven lending solutions will redefine real estate financing.
  • Sustainability and Green PropTech: With a growing emphasis on sustainability, real estate developers are incorporating energy-efficient smart buildings, IoT-powered utility management, and AI-driven carbon footprint tracking.

 

Conclusion: The Future is Digital

Saudi Arabia's PropTech sector is no longer just emerging, it’s leading a quiet revolution in how the Kingdom builds, buys, and interacts with real estate. By seamlessly integrating cutting-edge technologies with the nation’s ambitious urban visions, PropTech startups are playing a key role in shaping smarter, more sustainable communities.

 

The momentum is undeniable. As the kingdom steps further towards advanced proptech practices varying from digitized property transactions to AI-powered analytics and eco-friendly construction innovations.  The sector’s potential stretches far beyond convenience, it rather promises to redefine the very fabric of real estate in Saudi Arabia.

 

As the country balances rapid growth with long-term sustainability goals, PropTech stands at the crossroads of opportunity and transformation. For anyone watching closely, this is more than an industry shift—it’s a glimpse into the future of urban living, where innovation becomes a cornerstone of progress.

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Why fringe benefits matter more than ever for employers and employees

Noha Gad

 

Offering a strong salary is no longer enough to attract and retain top talent in today’s competitive job market, as employees increasingly look beyond base pay to evaluate the full value of a job offer, and that is where fringe benefits come in.

Fringe benefits are forms of non-wage compensation provided to employees in addition to their regular salary, including cash equivalents, property, services, or other privileges, such as health insurance, retirement contributions, company cars, tuition assistance, or paid time off.

Although they are viewed as extras, fringe benefits play a pivotal role in modern compensation packages for both employers and employees. For employers, they serve as powerful tools to enhance employer branding, boost employee morale and productivity, and gain tax advantages when structured correctly. For employees, they can significantly increase the real value of their compensation while improving financial security, health, and work-life balance.

 

What are fringe benefits?

Fringe benefits are additional remuneration that employees receive from their employers. They are designed to enhance the overall employee experience and provide added value beyond monetary compensation, serving as incentives that attract top talent and boost employee morale and satisfaction. By offering these extras, companies aim to create a positive work environment where employees feel valued and motivated.

Fringe benefits encompass a wide range of non-wage compensation that add another layer of appeal to any employment package, while creating a supportive workplace culture where employees feel appreciated for their hard work and dedication without only relying on financial remuneration.

 

Examples of fringe benefits

There are various types of fringe benefits that companies can offer to their employees, including:

  • Health insurance: Many employers offer comprehensive health insurance plans, covering medical, dental, and vision expenses for employees and their dependents.
  • Retirement plans: Companies may contribute to retirement savings accounts or offer pension schemes to ensure financial security for employees after they retire.
  • Paid time off: In addition to statutory holidays, companies often provide vacation leave, sick leave, personal days off, or paid parental leave to support employee well-being and family needs.
  • Employee Assistance Programs (EAP): These programs offer confidential counseling services for employees dealing with personal issues such as stress management or substance abuse problems.
  • Education reimbursement: Some organizations support continuous learning through tuition reimbursement programs or scholarships for further education or professional development courses.
  • Wellness programs: These initiatives promote employee health through gym membership discounts, wellness challenges, on-site fitness classes, or access to mental health resources.

 

Why do companies offer fringe benefits?

Offering fringe benefits gives companies a competitive edge in the job market, helping them to attract and retain top talent. Some advantages of providing fringe benefits include:

  • Increasing employee satisfaction. These benefits make employees feel valued and appreciated, leading to higher job satisfaction and making them more likely to be loyal and committed to their work.
  • Improving morale and motivation. Through fringe benefits, employers show they prioritize employees’ well-being, thereby boosting their morale and motivation.
  • Attracting top talent: A comprehensive package that includes attractive fringe benefits can be a major draw for highly skilled professionals.
  • Enhancing productivity: Offering fringe benefits helps create a positive work environment where individuals are motivated to excel. 
  • Reducing turnover: Investing in fringe benefits can help reduce employee turnover rates as individuals are less likely to leave an organization that provides valuable perks beyond salary alone.
  • Saving costs for employees: Some fringe benefits, like health insurance or retirement plans, may come with cost savings for employees compared to purchasing these services individually.

To sum up, fringe benefits have evolved from optional extras into a core component of strategic compensation, enabling employers to differentiate their offers, strengthen retention, and build a culture where employees feel genuinely supported.

These non-wage benefits can materially raise the real value of employees’ compensation while improving health, financial security, and work-life balance. For employers, a well-designed mix, aligned to workforce needs and local tax rules, can drive morale, productivity, and long-term cost efficiency.

Fringe benefits become a genuine investment in employees and a real advantage when it comes to winning and keeping great talent. For employers, all what they need to do is to choose benefits that truly fit their team and their goals, understand the full cost and tax picture, explain them in plain language, and revisit them often to see how they stack up.

Enterprise AI: What It Means and Why It Matters for Startups

Kholoud Hussein 

 

Artificial intelligence is moving beyond consumer applications such as chatbots, image generators, and personal productivity tools. As businesses shift from experimenting with AI to integrating it into core operations, a new category is gaining prominence: Enterprise AI.

At its simplest, Enterprise AI refers to the use of artificial intelligence within organizations to automate processes, analyze data, support decision-making, and improve operational efficiency. Unlike consumer AI, which is designed primarily for individual users, Enterprise AI addresses the more complex requirements of businesses, including data security, governance, integration, scalability, compliance, and measurable returns on investment.

What is Enterprise AI?

Enterprise AI encompasses AI-powered technologies deployed across functions such as finance, human resources, sales, marketing, customer service, cybersecurity, supply chains, and operations.

A bank, for example, may use AI to detect suspicious transactions, assess credit risks, automate customer support, and analyze financial data. A retailer could use AI to forecast demand, optimize inventory, and personalize customer recommendations, while a manufacturer could deploy it to predict equipment failures and reduce downtime.

The key distinction is that Enterprise AI is not simply about introducing an AI model into a company. It involves integrating AI into existing business systems and workflows to generate measurable business outcomes.

This makes integration one of the defining characteristics of Enterprise AI. Even a sophisticated AI model has limited business value if it cannot securely access relevant company data or interact with systems such as enterprise resource planning, customer relationship management, accounting, and supply-chain platforms.

From experimentation to infrastructure

The rapid development of generative AI has changed how companies approach the technology. Many businesses initially experimented with publicly available AI tools to generate content, summarize documents, or improve employee productivity.

The next stage is more complex: moving AI from an individual productivity tool to an integrated component of business infrastructure.

This transition is creating demand for technologies that connect AI models with proprietary company data and existing business applications. It is also increasing the importance of cybersecurity, data privacy, regulatory compliance, and human oversight.

As a result, companies are increasingly looking beyond the AI model itself and considering the infrastructure required to deploy AI securely and effectively at scale.

Where startups fit in

This shift creates a significant opportunity for startups.

Large technology companies may provide foundational AI models and cloud infrastructure, but startups can build specialized applications on top of these technologies to address specific enterprise problems.

Businesses often do not need a general-purpose AI system. They need a solution that understands a particular industry, workflow, or operational challenge.

A startup could, for example, develop an AI platform for insurance claims, legal document analysis, financial compliance, procurement, or logistics. By focusing on a specific problem, it can develop specialized workflows, integrate with existing enterprise systems, and potentially demonstrate a clearer return on investment.

This has contributed to the emergence of vertical AI startups—companies applying AI to specific industries rather than attempting to serve every type of customer.

Why Enterprise AI can be attractive to startups

Enterprise customers may be willing to pay more for technology that can reduce costs, increase productivity, accelerate revenue, or mitigate risk. This creates an opportunity for startups to build business-to-business AI products with higher contract values than many consumer applications.

However, selling to enterprises also raises the barriers to entry. Startups may need to pass security assessments, demonstrate regulatory compliance, integrate with existing systems, and convince multiple decision-makers before securing a contract.

Technical capability alone is therefore not enough. Successful Enterprise AI startups need to combine AI expertise with enterprise sales, cybersecurity, data governance, product integration, and a strong understanding of customer workflows.

The importance of proprietary data

Data is another critical component of Enterprise AI.

Companies hold large volumes of proprietary information that can make AI applications more relevant to their specific environments. Customer records, internal documents, transaction histories, operational data, and industry-specific knowledge can all support more specialized AI solutions.

This creates an opportunity for startups to build products around enterprise-specific data and workflows, rather than competing solely on the performance of an underlying AI model.

At the same time, enterprises increasingly expect clear controls over data access, storage, model training, and privacy, making responsible data management a central part of the Enterprise AI proposition.

The next opportunity for startups

The Enterprise AI opportunity extends well beyond building another chatbot. Startups can create value across the AI ecosystem, from data management and security to specialized applications, workflow automation, and AI agents.

AI agents are particularly significant because they can move beyond generating responses to performing sequences of tasks. An enterprise agent could retrieve information, analyze it, update a business system, and trigger a workflow with limited human intervention.

For startups, the central question is therefore not simply "Where can we use AI?" but "Which expensive, repetitive, or complex business process can AI fundamentally improve?"

That distinction captures the essence of Enterprise AI. Its value lies in transforming artificial intelligence from a standalone technology into a practical business capability that can be integrated into workflows, measured through business outcomes, and scaled across organizations.

For startups, this represents a growing opportunity—but also a higher bar for execution. Winning in Enterprise AI will increasingly depend not only on developing powerful AI technology, but on understanding a business problem deeply enough to turn that technology into a reliable, secure, and economically valuable solution.

 

Same Data, Different Eyes: Why Insight Beats Information Every Time

Ghada Ismail

 

In this second part, Abu Zannad turns to the resource startups actually have plenty of: creativity. He explains why “out-noticing” the competition matters more than out-spending them, and why so many founders confuse visibility, reputation, and meaning when they talk about “building a brand.”

 

How can startups use creativity as a competitive advantage when they cannot compete with larger companies on advertising budgets, resources, or brand recognition?

I think we first need to stop treating creativity as incidental, as this magical thing that occasionally happens when a talented person walks into a room. Creativity is becoming a much more important competitive capability precisely because AI is making so many other capabilities abundant.

Today, almost everyone can produce more content, more variations, more designs, more headlines and more analysis, faster and cheaper than ever before. So producing more is becoming less interesting. The competitive advantage increasingly lies in seeing something other people did not see.

I often describe it as the difference between information and insight. Two companies can have access to exactly the same data and come to completely different conclusions. Same data. Different eyes. That difference is human judgement.

And I don’t think insight has to be left to luck. There are conditions that make it more likely. Experience gives you patterns. Curiosity makes you notice what does not fit. Scepticism stops you accepting the first explanation. Contradictions reveal where reality is behaving differently from the category’s assumptions. Connections allow two things that normally live separately to collide.

Sometimes even constraint helps. I call that creative desperation: when you genuinely cannot solve the problem in the conventional way, you are forced to find another path. That is why startups may actually have an advantage. A large incumbent can often buy another media plan. A startup cannot. It has to notice something the incumbent has stopped noticing.

Look at the extraordinary group of younger businesses emerging around us:

Dollar Shave Club did not beat the shaving establishment by producing a more expensive shaving commercial. It understood internet humour and attacked the seriousness of the category.

Liquid Death looked at bottled water and asked why water had to behave like bottled water at all. It borrowed from punk, heavy metal and entertainment culture.

PRIME understood that creator communities themselves could become an extraordinary distribution system.

Crumbl turned cookies into something closer to sneaker drops; weekly anticipation, scarcity, reviewing and participation.

Sleep or Die looked at the soft, calming visual language of the sleep category and contradicted it completely.

And Dubai Chocolate may be one of the most fascinating cases of all. Someone created an unusually sensory product: “the crack of the chocolate, the colour of the pistachio, the texture of knafeh and a platform discovered that people could not stop watching it”. The algorithm accelerated the phenomenon; it did not originate the human fascination.

I think we should stop treating cases like these as amusing stories about things that “went viral.” They are evidence. We are watching something close to a new applied science of cultural creativity develop in front of us.

Every platform is producing an enormous live laboratory of human behaviour. Every unexpected breakout gives us something to study. What was the human tension? What cultural code did the brand recognize? What category convention did it violate? What community carried the idea? What made somebody want to participate rather than merely watch? What behaviour did the platform reward? What made the idea travel from one subculture into another?

Those are not questions only for advertising people anymore. They are questions for founders, anthropologists, behavioural scientists, strategists and technologists. And over time, we can begin building frameworks around them; not formulas for producing virality, because culture will never be that obedient, but better places to look for the unexpected.

That distinction matters. Creativity is not a formula. But neither is it magic. We can study it. We can develop our intuition. We can accumulate cases. We can recognize patterns. We can learn the grammar of a platform, a category, a culture or a subculture; and then have the courage to break that grammar when the human insight tells us to.

This, to me, is where AI becomes enormously useful. Let the machine search wider. Let it retrieve more cases, make more connections, generate more possibilities and accelerate experimentation.

But the human still has to ask: Which one matters? Which contradiction is interesting? Which observation is merely strange… and which one reveals something genuinely human? Which idea deserves to exist?

Because AI can increasingly generate ten thousand possibilities. The scarce capability is knowing which possibility is worth pursuing.

So my advice to startups would be: don’t try to out-produce the large companies. You probably can’t. And increasingly, there is little advantage in doing so anyway. Out-notice them. Out-understand them. And then use creativity to turn what you noticed into something the culture cannot ignore.

 

What do you think startups misunderstand most about building a brand: is it about visibility, reputation, or creating an identity people want to associate with?

I think what startups misunderstand most is the word brand itself.

They often think the sequence is: Build the product. Acquire customers. Grow. And when we become big enough, we will “do the brand.” Usually that means a new logo, a brand book, perhaps a large campaign.

But the uncomfortable truth is that you are building the brand from the first day whether you intend to or not. The first product experience builds it. The first customer complaint builds it. The way your founder speaks builds it. The price builds it. The packaging builds it. The people who choose you build it. The things you repeatedly say, and the things you repeatedly do, build it. So visibility, reputation and identity are not really three competing answers. They are three different layers.

Visibility means: I know you exist.

You can buy visibility. You can hack it. You can go viral and acquire enormous visibility almost overnight. But visibility is not a brand. We are surrounded today by things that became very visible and disappeared six months later.

Reputation means: I have learned what to expect from you.

You deliver. The product works. You keep your promises. There is consistency between what you say and what actually happens. Reputation takes longer because it has to survive contact with reality. And then there is something more interesting.

Meaning.

At some point, the strongest brands begin to signify something beyond the immediate utility of the product. Choosing the brand says something. Sometimes it says something to other people. Sometimes, more importantly, it says something to ourselves.

That is very close to the argument I make in AdEntity. Modern advertising became powerful because it taught objects to carry meaning. A watch stopped being only an instrument for telling time. A car was not only transportation. A pair of shoes was not only protection for the feet. Commercial objects became signals through which ambition, taste, rebellion, belonging, care or achievement could become socially legible.

And AdEntity does not argue that brands invented those desires. It argues that the surrounding system; the brand, product, image, celebrity and media environment… helped teach people how those desires could be recognized.

That is why I would hesitate to tell a founder, “Create an identity people want to associate with.” It is almost right. But it can lead to another mistake: inventing a beautiful brand personality with no relationship to the actual business.

Meaning has to be earned through product truth.

If Liquid Death behaved like a rebellious entertainment brand but the product, packaging and every interaction reverted to conventional bottled-water behaviour, the mythology would eventually collapse.

If Apple talks about creativity but produces experiences that feel careless, the symbolism weakens.

A brand cannot indefinitely advertise a meaning that the business itself does not substantiate. And this is where I think startups face a particularly modern trap. Startups live inside dashboards: ‘CAC. ROAS. Conversion. Cost per click. Retention. Downloads. Funnels’.

These numbers matter enormously. I would never advise a founder to ignore them. But because they are visible every morning on a dashboard, they begin to acquire psychological authority. What we can measure immediately starts to look more important than what is accumulating slowly.

And brand accumulates slowly. Memory accumulates. Familiarity accumulates. Trust accumulates. Distinctive assets accumulate. Meaning accumulates. This is why performance marketing is so seductive. You spend today and something happens tomorrow.

Brand building is more like compound interest. For a while, it can look as though very little is happening. And then one day people search for your name instead of the category. They recommend you without being paid. They recognize you before they see the logo. They forgive you a small mistake because there is accumulated trust. They consider you before the performance ad arrives. They may even pay slightly more because the alternative does not feel equivalent.

That is an economic asset, not a communications indulgence.

Airbnb gave us a fascinating demonstration of this. When the company dramatically reduced marketing during the pandemic, traffic recovered to roughly 95% of its 2019 level before marketing expenditure fully resumed. By the fourth quarter of 2020, more than 90% of traffic was direct or unpaid. Brian Chesky’s conclusion was essentially that Airbnb had become culturally established enough that the brand itself was generating demand.

That is what founders should aspire to. Not necessarily becoming a verb. But getting to the point where every customer does not have to be rented again from an advertising platform. Because if every sale requires another paid impression, another promotion and another retargeting message, you may have built an efficient acquisition machine. You have not necessarily built a brand.

There is another problem that optimization culture creates for startups: they change too much. New headline. New proposition. New design. New tone. New campaign. New audience. New creative every week because something performed 4% better. Experimentation is essential for discovering what works. But once you discover something valuable, brand building requires the opposite capability: the discipline to repeat it.

Memory needs consistency. And let’s not confuse consistency with repetition.

The Ehrenberg-Bass work on distinctive assets is useful here. Colours, sounds, shapes, characters, packaging and other recognizable cues only become assets when people repeatedly learn to associate them with one brand. They are built and protected over time; they do not become distinctive because somebody declared them distinctive in a brand guideline.

So perhaps I would give founders a very simple architecture: Be visible enough to enter the mind. Be good enough to earn a reputation. Be consistent enough to become remembered. Be meaningful enough to stand for something.

And make sure the product continuously earns the story you are telling.

Because a brand, in the end, is not the campaign. It is not the logo. It is not the number of followers. It is not even what the founder says the company stands for. A brand is the memory and meaning that remain when the advertising disappears. That is what startups should start building from day one.

What makes a 'VC-backable' startup?

Ghada Ismail

 

Not every good startup is a venture capital startup.

That can be hard for founders to hear, especially when they have built a product people like, attracted their first customers, and started generating revenue. But venture capital is not simply looking for businesses that work. It is looking for businesses that could become much, much bigger.

That is what makes a startup “VC-backable.” It is less about having a well-prepared investor presentation and more about showing investors that there is a real opportunity to build something with significant scale.

 

Market Size and Growth Potential

One of the first questions investors will ask is how big the opportunity really is.

A startup can solve a genuine problem and still have limited room to grow if its potential customer base is too small. For a VC-backed company, the ambition usually needs to go beyond building a profitable small business.

This is particularly relevant for startups in Saudi Arabia and the wider GCC. A founder may begin with a solution designed for Saudi customers, but investors will want to understand whether that business can eventually expand across the region or into other markets.

The bigger question is not just, “Who will buy this?” It is, “How many people or businesses could eventually need it?”

 

Customer Demand and Market Traction

A great idea is still only an idea until someone is willing to use it or pay for it.

This is where traction matters. Revenue, customer numbers, repeat purchases, retention, and transaction volumes can all show whether a startup is gaining genuine momentum.

For an early-stage company, traction does not necessarily mean millions in revenue. A growing user base, successful pilots, strong engagement or commercial partnerships can also demonstrate demand.

But there is a difference between growth and meaningful growth. Adding customers through heavy discounts, for example, does not necessarily prove that they will stay.

 

The Problem and the Value Proposition

The strongest startups tend to begin with a problem rather than technology for technology’s sake.

If a company can help businesses reduce costs, make a complicated process faster, improve access to finance, or solve a problem customers face regularly, its value becomes easier to understand.

Saudi Arabia’s rapidly developing fintech, healthcare, logistics, and technology sectors offer plenty of opportunities. The challenge is proving that the solution is valuable enough for customers to change their existing habits.

 

Founder Experience and Execution

Investors are putting money into a company, but they are also betting on the people running it.

Founders do not necessarily need decades of experience or impressive corporate backgrounds. What matters is whether they understand the problem, know their customers, and can keep adapting when things do not go according to plan.

Startups rarely follow the original business plan perfectly. Markets change, products need to be rebuilt, and early assumptions can prove wrong. Being able to respond to those changes can be just as important as having the original idea.

 

Scalability and Business Economics

Rapid growth sounds impressive until you look at how much it costs.

Investors will want to understand how much it costs to acquire a customer, how long that customer stays, and how much value they generate. A startup does not need perfect economics from day one, but there should be a credible path toward becoming more efficient as it grows.

That is also where scalability comes in. A Saudi startup might expand from one city to the wider Kingdom, then into the GCC or other international markets. The opportunity does not have to be global from day one, but investors will want to see what the next stages could look like.

Ultimately, being VC-backable does not mean a startup has to be perfect. Very few early-stage companies are.

It means giving investors a reason to believe the business can become significantly larger than it is today, and that the founders have a realistic way of getting there.

Why companies freeze hiring and how it affects their people

Noha Gad

 

Companies increasingly turn to cost-control measures to safeguard their financial stability. Among the most common and visible of these measures is the hiring freeze. While often presented as a temporary, strategic pause, a hiring freeze carries significant implications for employees, job seekers, and the organization’s long-term growth trajectory.

A hiring freeze is a business decision that sounds simple on paper but ripples through every corner of an organization. At its core, it is a temporary pause on bringing new people on board, no new roles, no backfills for departing employees, and often a hard stop on most recruitment activity. Companies often take this decision when they need to tighten budgets, navigate economic uncertainty, or reevaluate their workforce strategy without resorting to layoffs.

For current employees, a hiring freeze can feel like a mixed signal: there is short-term reassurance that jobs are safe, but also the creeping reality of heavier workloads, stalled promotions, and growing anxiety about the company’s future. For job seekers, it can mean suddenly stalled offers or roles that vanish midway through the interview process. And for leadership, it’s a balancing act between preserving cash and protecting morale, productivity, and long-term talent pipelines.

 

Why do companies implement a hiring freeze? 

Leaders may implement a hiring freeze to protect company finances and keep the business operational. They may also freeze new hires if the organization is plateauing or declining. There are a few other reasons why a halt in hiring may be necessary:

  • Budget deficit: If the process of hiring and paying new employees has the potential to cause overspending, leaders may halt recruitment. They may decide to delay hiring candidates until they improve the business's financial situation. 
  • Emerging liquidity issues: Liquid assets are a type of capital businesses have, such as cash balances and bank deposits. If an employer is uncertain whether a company is maintaining enough liquid assets, it might stop hiring efforts.
  • Upcoming layoffs: Layoffs are the discharge of temporary or permanent employees due to a lack of work or money available. Company leaders may implement a hiring freeze to save funds, preserve the fiscal stability of the business, and avoid layoffs.
  • Changes in market conditions: The shifts in market conditions can have a notable impact on revenue generation and overall profitability. Thus, leaders may implement a hiring freeze to counter the impacts of these changing conditions.

A hiring freeze may have an impact on current employees, as they might be responsible for completing additional tasks and working longer hours to keep a business operational. Professionals can overcome the challenge of a hiring freeze by:

  • Strengthening professional relationships with peers to position themselves as a valuable team member.
  • Seeking leadership opportunities, as a hiring freeze may leave certain positions open, including leadership positions.
  • Maintaining a positive mindset and attitude to be able to develop a positive reputation among colleagues and supervisors.  

 

Pros and cons

Although the hiring freeze delivers immediate financial relief, it sets off a chain of operational and cultural side effects that can last well beyond the freeze itself. Potential benefits include:

  • Immediate cost control: Halting new hires quickly reduces cash outflow without the legal, financial, and reputational costs of layoffs.
  • Preserving institutional knowledge: Because existing employees keep their jobs, a freeze avoids severance costs and the loss of expertise that come with mass redundancies.
  • Signaling fiscal discipline to investors and lenders: A freeze can be read as a proactive, responsible move to protect the balance sheet and extend runway.
  • Flexibility and reversibility: Unlike layoffs, a hiring freeze can be lifted relatively quickly when conditions improve, allowing the company to resume growth without rebuilding from scratch.

 

Key risks and downside include:

  • Increased workload and burnout: Vacant roles and natural attrition mean remaining staff absorb extra responsibilities, which can reduce performance, quality, and customer service over time.
  • Retention risks: Employees may interpret a freeze as a warning sign of deeper trouble, leading to disengagement or voluntary turnover.
  • Talent pipeline damage: Prolonged freezes can harm the employer brand, making it harder to attract top candidates later and causing promising prospects to drop out of the funnel.
  • Management challenges: Leaders may avoid addressing poor performance because removing an underperformer would leave a gap that can’t be filled, quietly lowering team standards.

To sum up, a hiring freeze can be a necessary, short-term response to financial pressure, but it is not a cost-free solution. While it buys time and preserves jobs in the near term, the hidden costs accumulate in heavier workloads, strained morale, stalled growth, and a weakened talent pipeline.