Noha Gad

In today’s fast-paced financial landscape, where markets shift quickly and corporate performance is continually under the microscope, shareholders expect more than just passive monitoring. This is where activist investors emerge as strategic agents who intervene to drive transformation and unlock greater value.

An activist investor is a shareholder who acquires a significant minority stake in a publicly traded company to influence its management and operations. Their goals often span influencing key decisions, replacing underperforming directors, streamlining operations to boost value, or even pushing for a full company sale. While many prioritize maximizing shareholder returns through efficiency gains, others blend in social responsibilities like ESG improvements.

These investors are typically hedge funds, wealthy individuals, or institutions like pension funds that expertly spot undervalued companies ripe for turnaround. Hedge funds pool capital for high-conviction bets, while wealthy individuals deploy personal fortunes for nimble, opportunistic plays. Institutions like pension funds bring institutional heft, leveraging long-term horizons to advocate for sustainable value unlocks in blue-chip firms overlooked by markets.

These investors rally support from fellow shareholders via public letters, media campaigns, and private dialogues. If persuasion falls short, they escalate to proxy fights, nominating rival board candidates to seize control of strategic direction. 

Passive investors vs. activist investors

Passive investors prioritize broad market exposure over individual stock picking. They buy and hold diversified portfolios and rarely intervene, content with market-driven returns over time. On the other hand, Activist investors are hands-on disruptors who concentrate capital on select undervalued targets. They demand immediate fixes: slashing overhead, spinning off divisions, hiking dividends, or ousting CEOs, often backed by forensic financial analysis and peer comparisons.

The role of activist investors

Activist investors play pivotal roles as catalysts for corporate change, wielding influence through ownership stakes to drive strategic and operational shifts. They act as change agents, acquiring minority stakes to pressure management on key issues like cost efficiencies, capital allocation, or leadership refresh. 

They initiate public campaigns, then escalate to proxy contests for board seats, almost winning the battles to install aligned directors. Their toolkit includes forensic analysis of financials to spotlight underperformance, coalition-building with institutional holders, and media amplification to sway sentiment.

Pros and cons

While activist investors catalyze corporate evolution, their influence divides opinions on balancing immediate returns with enduring growth. It offers several advantages, including:

• Rapid value unlocking: activist investors identify underperforming assets, pushing for buybacks, spin-offs, or cost cuts.
• Governance renewal: By winning board seats in most proxy fights, investors replace entrenched directors, enforcing accountability and merit-based leadership that ripples to peer firms.
• Strategic agility: Activists force pivots like divestitures or M&A, realigning operations with competitive edges and injecting fresh ideas into stagnant giants.

Disadvantages 

• Operational disruption: Proxy wars spark internal chaos, talent flight, legal fees, and diverted focus, costing firms millions during heated battles.
• Heightened volatility: Short 1–3-year horizons amplify market swings, especially in turbulent periods, eroding stability for all stakeholders. 
• Narrow vision: tactics overlook holistic strategies like ESG or patient growth, potentially devaluing sustainable models in favor of financial engineering.

Mohamed Ramzy

The information technology sector in Egypt and the broader region is experiencing an accelerating digital transformation, making cloud computing, managed services, and cybersecurity key pillars to support digital transformation in the government and private sectors. This momentum helped create significant growth opportunities for companies specializing in digital infrastructure, particularly those with deep expertise in Egypt and the broader region.

Link Datacenter (LDC) stands out as a leading provider of cloud computing, managed services, and cybersecurity solutions in the region. Therefore, Sharikat Mubasher conducted an interview with Gamal Selim, CEO of Link Datacenter, to discuss the company’s vision, its role in supporting digital transformation, and its future growth plans.

First, we would like to know more about Link Datacenter and the key milestones in its development since its establishment.

Link Datacenter was founded in 1996 as the data center arm of LINKdotNET, at a time when internet services in Egypt were still in their infancy. This enabled the company to be an integral part of the early digital infrastructure in the market. 

With the expansion of internet usage in the early 2000s, the company has witnessed significant growth driven by rising demand for hosting services and digital infrastructure, establishing itself as a technology partner to several major platforms in Egypt and the region.

The company also went through key milestones, most notably the wave of M&A in the sector, especially after Mobinil (later acquired by Orange) acquired LINKdotNET. This acquisition enabled the company to access more advanced technologies and reach a broader customer base.

In 2009, the data center and cloud computing activities were consolidated into an independent entity, marking a turning point in offering a comprehensive suite of managed services, including cloud computing, cybersecurity, and digital infrastructure, while helping customers adopt artificial intelligence (AI) technologies.

Today, the company delivers its services through its data centers, via strategic partnerships with global entities such as Microsoft, or directly within the customer’s environment, based on the needs of each sector.

What is the volume of your current customer base? And how does the company classify them according to services?

The company has a diverse customer base that spans various sectors. It serves thousands of clients, delivering ‘business essentials’ which include domain registration and email hosting.

We also provide services to around 500 large enterprises and SMEs that rely on cutting-edge services, including cloud computing, cybersecurity, and advanced hosting.

Customers are classified according to their needs: startups rely on basic services, while larger enterprises rely on integrated solutions and more sophisticated infrastructure to ensure operational efficiency and security.

What is Link Datacenter’s growth strategy over the coming years? And does the company target expanding customers base?

Link Datacenter’s strategy is centered on growing business volume overall, not just increasing the number of customers, as the genuine value lies in maximizing the benefit for existing customers from the services provided.

The company targets an annual growth rate of 30% to 40% in both revenues and operations, by expanding existing customers’ adoption of its services, developing new solutions that meet their evolving needs, and attracting new customers in promising sectors.

However, priority remains on value and operational quality for each customer, as the targeted growth can be achieved by deepening existing partnerships without relying solely on increasing customer numbers.

What are the company’s investment and expansion plans amid accelerating digital transformation and AI adoption in Egypt?

We are constantly working to enhance our portfolio to meet market needs, particularly in digital transformation and AI fields. We help our customers host and run Large Language Models (LLMs), ensuring they have maximum value based on the nature of each business.

We also have a fully specialized cybersecurity department, including the Security Operations Center as a Service (SOC as a Service), which targets mission-critical business applications. These services are supported by qualified teams and advanced technologies that keep pace with the growing demands of digital businesses. 

How do you see the Saudi market amid the accelerating digital transformation under Vision 2030? And do you plan to expand there?

The Saudi market is one of the fastest-growing markets in digital infrastructure and cloud computing, driven by Vision 2030’s objectives, which place digital transformation at the forefront of its priorities.

We see significant opportunities in the Kingdom, notably in cloud computing, managed services, and cybersecurity fields. We continuously explore expansion and partnership opportunities in the Saudi market, whether through delivering our services directly or through local partnerships, in line with the market needs and regulatory requirements.

With over 25 years of experience in the Egyptian and regional market, what sets Link Datacenter apart from other competitors?

Link Datacenter has deep experience in providing hosting and managed services across the Middle East and Africa (MEA), supported by strong strategic partnerships with global companies, such as Microsoft and others.

This, combined with our extensive customer base, which includes government organizations, large enterprises, and SMEs, and our highly experienced team, positions us among the leading professional service providers.

We always strive to deliver customized solutions that precisely meet each customer’s needs, with a strong focus on security and continuous innovation.

Translation: Noha Gad

Kholoud Hussein

A new category of startups has started dominating global tech conversations: AI-native startups. Unlike traditional companies that add artificial intelligence as a feature, these startups are built entirely around AI from day one—their core product, business model, and operations all depend on machine intelligence. They don’t use AI as an enhancement; they use it as their foundation.

As the world moves deeper into the era of automation and generative models, AI-native startups are becoming one of the fastest-growing segments in the innovation economy. Their rise mirrors the early days of cloud-native companies, which emerged a decade ago and quickly redefined software development. But AI-native startups represent an even more disruptive shift—one that touches every sector, from finance and logistics to healthcare and digital media.

This new model raises important questions: How exactly do AI-native companies operate? Are they profitable? How quickly are users adopting them? And what does their presence look like in the MENA region?

What Makes a Startup “AI-Native”?

An AI-native startup integrates artificial intelligence into the very fabric of its value proposition. AI is not a tool—it is the product’s engine.

Instead of building software that performs a set of fixed tasks, these companies build systems that learn, adapt, and improve with every interaction. Their technology stacks are centered around large language models (LLMs), predictive algorithms, or autonomous decision-making engines.

An AI-native product might write code, diagnose a disease, optimize supply chains, generate marketing campaigns, detect fraud, or run an entire business workflow without human intervention. The more data it processes, the smarter and more efficient it becomes.

This architecture allows AI-native startups to scale quickly. They don’t need large teams or massive infrastructure. Their main assets are data, algorithms, and computational power.

How These Companies Operate in the Market

AI-native startups break the traditional build-test-iterate cycle. Instead of hard-coding features, they train and refine models. Their speed of execution is measured not by product releases but by how fast the system learns.

Internally, these startups operate with leaner teams. A product that once required 50 engineers might now be developed by 6 people supported by an AI-powered development pipeline. Sales teams use AI agents. Customer service is automated. Even marketing strategies are generated and tested through intelligent systems.

Their business models tend to follow patterns such as:

• Usage-based pricing – charging customers per output, like generations or transactions
• Subscription to an intelligent assistant – offering AI copilots for specialized industries
• API-first platforms – enabling other companies to plug into their intelligence layer
• Workflow automation – charging for processes the AI takes over

As a result, AI-native startups often have higher margins, lower operational costs, and faster product cycles than traditional software companies.

User Adoption Is Growing at Unprecedented Speed

Consumers and enterprises are adopting AI-native products faster than any technology wave since smartphones. The shift is driven by three main forces:

1. AI solves real, costly problems

From logistics failures to expensive medical diagnostics, AI systems remove inefficiencies that humans alone struggle to fix.

2. AI feels intuitive to use

Natural-language interfaces have lowered the barrier. You don’t need technical skills to interact with an AI assistant—you just talk to it.

3. Productivity gains are immediate

Companies experience measurable improvements within weeks. Costs fall, processing becomes faster, and output quality improves.

According to global surveys, over 70% of enterprises worldwide plan to increase their AI spending in 2026, with a significant share specifically targeting AI-native solutions rather than traditional AI tools.

Are AI-Native Startups Profitable?

AI-native companies benefit from a cost structure that grows more efficiently as they scale. Unlike conventional SaaS platforms that face rising customer support and development costs, AI models actually perform better with volume.

However, profitability depends on two factors:

• How efficiently the startup manages compute costs

Running large models can be expensive, especially at early stages. Well-built AI-native startups avoid unnecessary model training, compress their models, or specialize in niche use cases to reduce GPU dependency.

• How strong their data advantage becomes

Data is the defensible moat. AI-native startups that secure unique, domain-specific data sets become exponentially more valuable and harder to replicate.

When these two conditions align, AI-native startups often reach profitability far earlier than traditional tech companies. Several global AI-native players hit break-even within 12–18 months—something unheard of in the SaaS world.

The Future of AI-Native Companies

The next wave of AI-native startups will not simply automate tasks—they will automate entire business functions. Finance departments, HR operations, customer support centers, and logistics planning may eventually be run by autonomous, AI-orchestrated systems with minimal human intervention.

Industry analysts expect that by 2030, over 30% of new global startups will be AI-native by default, a trend driven by the falling cost of computing and the rise of developer-friendly AI infrastructure.

These companies will not replace humans; they will redefine roles. Employees will shift from operational tasks to oversight, strategy, and creative problem-solving.

AI-Native Startups in the MENA Region

The MENA region—especially the UAE and Saudi Arabia—is emerging as one of the most promising markets for AI-native companies. Major national strategies are fueling investment, including:

• Saudi Arabia’s National Strategy for Data and AI (NSDAI)
• The UAE’s National Artificial Intelligence Strategy 2031
• Expanding sovereign wealth fund participation in AI ventures

Dozens of emerging players are already gaining traction in fintech, logistics, retail, cybersecurity, and enterprise AI.

Saudi Arabia, in particular, is positioning itself to become a global AI hub by 2030. The Kingdom’s young and tech-savvy population, paired with massive public and private investment, makes it an ideal ground for AI-native models to scale quickly. Demand for intelligent enterprise solutions in sectors such as government services, healthcare, and e-commerce is rising sharply.

Regional adoption of AI-native platforms is growing fast, especially among SMEs seeking to automate operations without hiring large teams.

Finally, AI-native startups represent a fundamental shift in how companies are built, how products evolve, and how markets operate. Their agility, efficiency, and rapid learning cycles make them uniquely positioned to reshape industries at a speed traditional companies cannot match.

In the MENA region, the coming years will likely see an explosion of AI-native innovation as governments, investors, and enterprises push toward a more automated and data-driven economy.

These companies are not simply part of the future—they are the future.

Noha Gad

Every fast‑growing company goes through a capital journey that usually starts with seed and pre‑seed funding, where founders test an idea, build a product, and find early customers. Then come Series A and B rounds, which focus on proving the business model, refining unit economics, and scaling the core operations. By the time a startup reaches Series C and D, priorities shift from survival to growth at scale, market expansion, and operational maturity.

Series E funding round marks the late‑stage phase of a startup’s capital journey. By this stage, the company is no longer trying to prove its product or business model; instead, it’s focused on scaling quickly, consolidating market leadership, or preparing for an IPO or a major exit. 

Unlike earlier rounds that prioritize survival and product‑market fit, Series E is usually about big moves: international expansion, heavy hiring, large acquisitions, or building a balance sheet robust enough to weather public‑market scrutiny. It tends to attract institutional investors, private‑equity players, and other late‑stage funds that expect a clear path to liquidity.

The Series E round is a signal of maturity and proof that the company has products and a business model with real customers, and has reached a significant revenue or valuation level where the next moves require serious capital.

How do Series E rounds differ from other rounds?

Early-stage rounds usually focus on products, validation, and product-market fit. At this stage, investors support the founding team and a promising concept, not a proven business. The checks are relatively small, the metrics are qualitative, and the goal is to iterate fast, find early users, and head toward product‑market fit. 

Mid-stage rounds (i.e., Series C and D) focus on scaling operations, expanding markets, and improving unit economics. At these stages, the company is no longer a project but a real business with meaningful revenue, clear unit economics, and often a presence across multiple customer segments or regions. Investors here are growth‑stage VCs and sometimes corporate or hedge‑fund‑style players, and the capital is used to expand into new markets, build more infrastructure, or even acquire smaller competitors. 

Late-stage and pre-exit rounds are often much larger and target aggressive expansion, major hiring, cross‑border scaling, or laying the financial groundwork for an IPO or strategic sale. Investors at this stage are mainly late‑stage VCs, private equity firms, and large funds that expect a clear path to liquidity, stronger governance, and more sophisticated financial reporting. 

When and why do companies need to raise a Series E round?

Series E is a strategic move for companies that have already proven their model and are ready to make a big leap. Founders typically consider Series E when their ambition and opportunity outpace the capital they currently have. At this stage, founders shift their focus to how fast they can scale and how far they can dominate the market. The round is usually about accelerating growth and strengthening the balance sheet. Another main reason to raise Series E is to prepare for an IPO or public listing. Many companies use this round to build a cash buffer, professionalize governance, and clean up their financials to handle the scrutiny and volatility of public markets. It also gives them time to refine their narrative for public investors while operating with the flexibility of a private company. 

Series E can also be used to consolidate market leadership. It can be the fuel needed to outspend rivals on customer acquisition, product development, and hiring. Additionally, companies that want to stay private longer may use this round to fund a multi‑year runway without going public immediately.

Finally, the decision to raise Series E should be driven by clear, capital‑intensive goals, whether that is scaling aggressively, consolidating dominance, or preparing for an IPO or major exit, rather than a reflexive desire for more money. Used wisely, Series E can turn a strong scale‑up into a market‑defining business; used poorly, it can lock a company into a high‑pressure, high‑expectation path without the fundamentals to back it up. Founders and investors, understanding when and why to raise Series E is the key to making it a powerful accelerator, not an unnecessary gamble.

Ghada Ismail

As artificial intelligence rapidly reshapes business operations across industries, companies are increasingly exploring how AI agents, enterprise solutions, and localized language models can transform decision-making and efficiency.

In this interview, Anas Elkhatib, Co-Founder and CTO of THAKAA AI Decision Support System, discusses how AI is redefining enterprise operations, the rise of agentic AI, and why Saudi Arabia is positioning itself as a key hub for artificial intelligence innovation.

How is AI transforming your core business operations, products, or services?

AI is truly the revolution of this era. One of the clearest ways we see its impact is in how it improves efficiency and return on investment across business operations.

For example, processes such as generating reports used to take weeks. Companies would need to gather data from multiple sources, organize it, and analyze it before producing meaningful insights. With AI solutions like the ones we provide at THAKAA AI Decision Support System, this entire process can now be completed in seconds.

Instead of manually compiling information, a user can interact directly with an AI agent. You can even have a phone call or a video call with the AI. During the interaction, the AI can present dashboards, answer questions in real time, and provide insights or recommendations.

It can also extract market data and compare a company’s performance with broader industry benchmarks within seconds. In practical terms, AI allows organizations to transform decision-making cycles from weeks into seconds while saving significant time and effort.

What recent AI innovations are you most excited about?

The speed of innovation in AI is remarkable—every day, there seems to be something new. Chatbots were the earliest and simplest stage of AI interaction, but today, the most exciting development is the concept of Agentic AI.

Agentic AI involves multiple AI agents with specialized knowledge communicating with one another. It works almost like a virtual team.

For instance, in our demonstrations we present what we call a virtual CXO team. Under each executive role—such as a virtual CFO—you can have supporting functions like financial planning and analysis or cost control. These AI agents communicate with each other. If one agent receives a question it cannot answer, it can consult another agent, such as a CHRO or CFO agent, to provide the necessary information.

In this way, AI agents collaborate internally to deliver more comprehensive responses and insights.

Does that mean AI will eventually replace human workers?

AI may replace certain roles, but it is important to emphasize the concept of human-in-the-loop.

Every recommendation produced by AI should be supervised by humans. In our systems, we do not allow AI to act independently. Instead, we control issues such as hallucination through enterprise-level solutions that ensure the AI only responds using trusted data.

Rather than relying on public information, the generative AI model is trained on the organization’s own internal data. This makes the system more reliable and secure.

At the same time, it is realistic to say that some jobs may change as AI becomes more widespread. However, new opportunities will also emerge. AI can increase productivity and create new economic activity, which ultimately leads to new roles and industries.

The key for individuals is to continue developing their skills and adapting to new technologies.

Are there any collaborations or partnerships your company is building in Saudi Arabia?

Yes, and we actually consider all of our customers in Saudi Arabia to be partners.

At THAKAA AI Decision Support System, we work with several public-sector entities, including the Ministry of Agriculture, the Ministry of Finance, and the Saudi Data and AI Authority. On the commercial side, we collaborate with organizations such as Jabal Omar in Makkah and other private-sector clients.

Our approach is based on knowledge exchange. When we implement our solutions, we share our technical expertise and lessons learned from previous projects. In return, our customers share their knowledge about their own industries and operational needs.

Because of this exchange of expertise, every client becomes a strategic partner that contributes to improving the overall solution.

Which sectors in Saudi Arabia are most ready for AI transformation?

Saudi Arabia is generally a very dynamic and rapidly developing market for AI adoption. However, if we look at industries that are particularly ready for large-scale implementation, I would highlight oil and gas and banking.

Enterprise AI solutions can require significant investment. Industries with strong financial resources are therefore often the earliest adopters. Oil and gas companies and financial institutions have the capacity to absorb these costs and implement AI at scale.

As technology becomes more accessible, we expect adoption to expand across many other sectors as well.

How does THAKAA approach responsible and ethical AI deployment?

Responsible AI is a key priority for us. From the beginning, our solutions have been designed with strong privacy and security frameworks.

Our platform is built as an enterprise solution rather than a consumer AI tool. This means that protecting company data is central to the system architecture.

For example, we apply several techniques to control AI hallucination, including advanced prompting and retrieval-augmented generation methods. We also implement strict security protocols when dealing with personally identifiable information (PII).

Sensitive information—such as employee names or contact details—is encrypted and masked to ensure it cannot be leaked or misused.

Additionally, we comply with regulatory frameworks issued by authorities such as the Saudi Data and AI Authority (SDAIA) and the National Cybersecurity Authority. In some cases, the system is deployed on-premises to ensure that all sensitive data remains fully secure within the organization.

Do your AI solutions support Arabic, including Saudi dialects?

Yes, and that is one of the key differentiators of our platform.

THAKAA was developed with Arabic language capabilities from the beginning. The system can communicate naturally in Arabic, including the Saudi dialect.

For example, we use the technology in call center environments. In many cases, people speaking with the AI cannot easily distinguish whether they are interacting with a human agent or an AI system.

The interaction feels very natural, which demonstrates how far conversational AI technology has evolved.

How do you see AI shaping the broader business landscape in Saudi Arabia?

AI is already becoming a central part of Saudi Arabia’s long-term economic vision.

The Kingdom is forming strategic partnerships with global technology companies to build advanced data centers and GPU infrastructure. These investments will support the development and deployment of large language models.

If LLMs are hosted locally in Saudi Arabia, government institutions, banks, and other organizations will be able to adopt AI technologies more easily and securely.

From my perspective, the AI ecosystem can be divided into three categories. The first includes companies that focus on hardware infrastructure. The second includes companies developing large language models. The third includes companies building practical AI applications and solutions—like what we do at THAKAA.

Saudi Arabia is supporting all three layers of this ecosystem. The country is investing in infrastructure, supporting LLM development, and encouraging the growth of AI startups.

Startups are particularly important because they form the backbone of any AI economy. When governments create supportive regulations and provide resources for startups, the long-term economic impact can be significant.