Capgemini Uncovers Top 5 Tech Trends to Watch in 2025

Sep 15, 2025

Capgemini unveiled today its “TechnoVision Top 5 Tech Trends to Watch in 2025”, focused on the technologies that are expected to reach an inflection point in the next year. The focus on AI and generative AI (Gen AI) is shared both by executives around the world as well as by the venture capital professionals that were interviewed in a global survey to be published at CES in January 2025. It is anticipated to also have a significant impact on other key technologies which are likely to reach a stage of maturity or breakthrough in 2025.

 

“Last year, Capgemini’s Top 5 Tech Trends predicted the emergence of smaller Gen AI language models and AI agents, both of which came to fruition. We also signaled the importance of Post-Quantum Cryptography, which was confirmed by the publication of the National Institute of Standards and Technology’s standards last summer. And as anticipated, semiconductors have been at the center of attention in 2024 with significant evolution driven by the massive use of AI and generative AI, as well as shifts in market dynamics,” explains Pascal Brier, Chief Innovation Officer at Capgemini and Member of the Group Executive Committee. “In 2025, we see AI and Gen AI having a major impact on companies’ priorities and also on many adjacent technology domains, such as robotics, supply chains, or tomorrow’s energy mix.” 

 

Technologies to watch in 2025

 

  1. Generative AI: From copilots to reasoning AI agents

Generative AI is now entering the dawn of a gentrification where AI systems are evolving from isolated tasks to specialized, interconnected agents. In fact, according to a Capgemini Research Institute survey of 1,500 top executives globally, which will be published in January 2025, 32% of them place AI agents as the top technology trend in data & AI for 2025.  Thanks to the increasing capabilities of logical reasoning in Gen AI models, these will start operating more autonomously while providing more reliable, evidence-based outputs, and will be able to manage tasks such as supply chains and predictive maintenance without constant human oversight. AI systems can handle dynamic decision-making in more sensitive environments where correctness is paramount. The next step will be the rise of a super agent, an orchestrator of multiple AI systems, optimizing their interactions. In 2025, these advancements will enable new AI ecosystems across industries, allowing new levels of efficiency and innovation.

 

Why it matters: With the maturation of AI models, transformer models and other Gen AI architectures have reached new levels of sophistication and accuracy, making multi-agent systems viable for real-world, complex, dynamic decision-making, even in unpredictable situations. This is set to unlock greater potential in industries that rely on quick, flexible responses to unexpected challenges, such as healthcare, law, and financial services.

 

  1. Cybersecurity: New defenses, new threats

AI is transforming cybersecurity, enabling both more sophisticated Gen AI-enhanced cyberattacks and more advanced AI-driven defenses to the point where almost all organizations surveyed (97%) in the recently published Capgemini Research Institute’s report say they have encountered breaches or security issues related to the use of Gen AI in the past year. In recent years, with remote work, companies now face a larger attack surface and greater vulnerability to these threats. In fact, 44% of top execs in the upcoming Capgemini Research Institute report place the impacts of Gen AI in cyber as the top technology topic in cybersecurity for 2025. To mitigate these risks, there have been renewed investments and innovations in endpoint and network security, increased efforts to automate threat detection, especially using AI-driven threat intelligence, as well as an effort to prepare for the future by reinforcing encryption algorithms, in particular the growing interest into Post-Quantum Cryptography to protect against the next expected disruption: quantum-computing threats. This shift marks a broader transformation in how businesses approach security and build trust in their increasingly autonomous systems. 

 

Why it matters: In 2025, generative AI-powered cyberattacks will continue to be more sophisticated and widespread, increasing risks for organizations. In parallel, as AI plays a larger role in decision-making and operational control, ensuring that humans trust these systems will become crucial. But it's not just about being safe—it's about feeling safe. Cybersecurity must address both technical and psychological concerns, ensuring not only protection but confidence in the systems people rely on daily.

 

  1. AI-driven robotics: Blurring the lines between humans and machines

Advancements in AI technology have accelerated the development of next-generation robots, building upon innovations in mechatronics and expanding beyond traditional industrial uses. While robotics used to be dominated by hard-coded, task-specific machines, the development of Gen AI is spurring the development of new products (including humanoid robots and collaborative robots - or cobots) that can adapt to diverse scenarios and learn continuously from their environment. According to the Capgemini Research Institute’s upcoming report, 24% of top executives and 43% of Venture Capitalists see AI-driven automation and robotics as one of the top 3 tech trends in data and AI in 2025. With robots becoming more autonomous and AI taking on complex decision-making roles, the future of work may see a shift in the traditional structure of authority. The rise of AI-powered machines that mimic human behaviors challenges our understanding of leadership, responsibility, and collaboration, ultimately pushing us to reconsider the role of humans.

 

Why it matters: As Industry 4.0 progresses, AI-powered robots will drive efficiency, flexibility, and innovation, becoming key components of intelligent, connected systems that redefine industrial processes. By 2025, advances in natural language processing and machine vision will further enhance their capabilities, allowing robots in manufacturing, logistics, and agriculture to take on more complex roles within the modern workforce.

 

  1. Nuclear: The surge of AI driving the clean tech agenda

The energy industry is in the midst of a transformative shift, with the energy transition accelerating at an unprecedented pace. This change is fueled by mounting pressure to fight climate change and supported by rapid innovations across various sectors, from renewables and biofuels to low carbon Hydrogen and beyond. Nuclear energy stands out as a focal point for 2025: nuclear is re-emerging at the top of the business agenda, propelled by the urgent need for clean, dependable and controllable power that can support the rising energy demands of AI and other high-energy technologies. Although in September/October 2024,   very few top execs globally identified Small Modular Reactors (SMRs) as a top 3 Sustainability technology for 2025, SMR technology development is expected to accelerate by 2025, and other key innovation priorities include strides toward limitless, clean power with nuclear fusion, or Advanced Modular Reactors that differ from light water reactors in the use of new types of fuels and a higher temperature and for some of them the promise to reduce the production of nuclear waste. 

 

Why it matters: Driven by the massive energy demands of AI, major tech players are turning to nuclear energy to meet their growing computing needs. Large-scale investments are expected to further accelerate innovation in reactor technology and waste management, as the tech industry acknowledges that renewables alone cannot sustain its energy demands.

 

  1. New generation supply chains: Agile, greener and AI-assisted 

In the last few years, businesses have had to navigate increasingly complex, unpredictable market conditions. Key technologies including AI, data, blockchain, IoT, and connectivity with Terrestrial Satellite Networks are now playing a strategic role in improving the cost efficiency, resilience, agility, circularity, and sustainability of supply chains. These technologies are allowing companies to enhance their predictive capacities and navigate an ever-changing ecosystem as they have now reached a sufficiently high level of maturity and therefore reliability. Meanwhile, progress in space techs such as low-earth orbit satellite constellations is particularly essential to increase coverage in white spots which is crucial for companies to be able to control their entire supply chains throughout the globe. In fact, according to the Capgemini Research Institute’s upcoming report, 37% of top executives see these new-generation supply chains powered by technologies as the top tech trend in industry and engineering in 2025. Additional regulatory and environmental constraints will make this shift all the more critical to ensure competitiveness, agility and resilience.

 

Why it matters: In 2025, global supply chains will keep facing environmental disruptions, regulatory pressures, and geopolitical tensions which will impact the flow of goods and raw materials. New regulations like the European Union’s Digital Product Passport will make it mandatory for companies to track and disclose the environmental footprint of their products, pushing them to adopt more sustainable practices. 

 

Beyond 2025 - technologies shaping the next 5 years:

 

  1. Engineering biology: BioSolutions to today’s most pressing challenges

While the potential of engineering biology and its ability to transform manufacturing, develop drugs, and produce materials with novel properties has been widely discussed over the past years, this technology is yet to reach its scaling phase. According to the Capgemini Research Institute’s upcoming report, 41% of top executives believe that molecular assembly will reach maturity and become commercially viable by 2030. Meanwhile, 37% of them envision the same for Genomic Therapies. In the coming years, we can look forward to new innovations in this diverse field, such as personalized mRNA vaccines and GenAI for protein design.

 

  1. Quantum computing: on the verge of the quantum leap

According to the upcoming Capgemini Research Institute survey, 55% of top executives and 44% of VCs expect quantum computing to be one of the top 3 technologies within the ‘Computing & Networking’ space which will create a major impact in 2025. 41% of top executives expect to be experimenting with quantum computing Proofs of Concepts with limited use cases, and 27% of the top executives surveyed expect the technology to be partially scaled in some parts of the organization in 2025. The key question is – when will the quantum leap happen, and who will master it?

 

  1. Artificial General Intelligence: I think, therefore AI am? 

AI reasoning capabilities have made spectacular progress over the past 5 years, and some predict an era of artificial general intelligence (AGI). As such, 60% of top executives and 60% of VCs surveyed by the Capgemini Research Institute believe this technology will reach maturity and become commercially viable by 2030. Would this technology basically be able to mimic human intelligence to the point of making it irrelevant? This topic leads to exaggerated predictions, and some now question whether the intelligence potential of the technology is really unlimited.

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Latest Experts Thoughts

How accredited investors conquer high-risk, high-reward deals

Noha Gad

 

In today's rapidly expanding financial world, investing goes far beyond simply buying stocks or bonds; it is about gaining access to exclusive deals that can grow your wealth in unique and powerful ways. These high-potential opportunities often depend on clear standards that prove your financial know-how and ability to handle risk. Accredited investors take center stage by providing essential funding to homegrown innovators, such as AI startups and renewable energy ventures, which power job creation, business expansion, and broad economic progress for whole communities.

 

What is an accredited investor?

An accredited investor is an individual or entity permitted by financial authorities to engage in trading of unregistered securities. These investors, who include high-net-worth individuals, banks, insurance companies, brokers, and trusts, meet specific financial criteria. Typically, they demonstrate financial sophistication through their income, net worth, asset size, or professional experience, thereby not requiring the regulatory protections designed for less experienced investors. Understanding the role and criteria for accredited investors can aid in navigating high-risk and high-reward investment opportunities.

Accredited investors have privileged access to pre-IPO companies, venture capital companies, hedge funds, angel investments, and various deals involving complex and higher-risk investments and instruments. These opportunities often deliver superior returns compared to public markets, as early-stage startups or undervalued private assets can appreciate dramatically before going public.

These investors can also spread risk across alternative assets like Real Estate Investment Trusts (REITs) or crowdfunding platforms, balancing traditional stocks and bonds for a more resilient portfolio.

 

Risks of accredited investor investments

Accredited investor investments often fail at high rates, leading to potential total loss of principal, unlike diversified public stocks with historical safeguards. These assets thrive on innovation but hinge on unproven business models in volatile sectors like tech or biotech, where market shifts can wipe out value overnight.

Investors may also face illiquidity challenges as private deals typically impose lock-up periods of 5 to 10 years, preventing sales during personal financial needs or market downturns, unlike liquid public markets, where you can exit positions daily.

Operational dependencies represent another major challenge facing accredited investors. Outcomes depend on founders' execution in opaque environments, where poor leadership, key personnel departures, or misguided pivots can derail even strong ideas, unlike public companies with shareholder oversight and analyst scrutiny. 

 

Qualification criteria for accredited investments

-Income threshold.  Individuals qualify as accredited investors if they have a consistent earning power to handle investment risks. This criterion targets professionals like executives or doctors whose salaries signal financial stability without relying solely on assets.

-Net worth standard. A net worth over $1 million also qualifies individuals or spouses jointly, calculated through assets minus liabilities, such as loans or mortgages. This measures overall wealth accumulation, appealing to entrepreneurs or inheritors with substantial holdings beyond everyday homes.

-Entity qualifications. Organizations automatically qualify as accredited investors if they own at least $5 million in assets, including banks, insurance companies, trusts, or family offices structured for investments. Certain non-profit organizations, employee benefit plans, and investment entities with savvy managers bypass individual tests.

Finally, accredited investor status serves as a powerful gateway to transformative investment landscapes, balancing elite privileges, such as exclusive private market access and diversification, against critical risks, including illiquidity, high failure rates, and limited oversight. By meeting stringent qualification criteria, whether through income, net worth, entity assets, or professional credentials, accredited investors can fuel innovation in dynamic ecosystems.

Stitching an Industry: How Saudi Arabia’s Fashion Investment Fund Is Turning Creativity into Capital

Kholoud Hussein 

 

Saudi Arabia’s fashion sector is no longer emerging quietly on the sidelines of the Kingdom’s economic transformation. It is stepping into the foreground—structured, financed, and increasingly measurable. The unveiling of the new identity of the Fashion Investment Fund, the first specialized investment vehicle of its kind in the Kingdom, marks a decisive moment in that transition. It signals a shift from cultural encouragement to industrial strategy, from fragmented creative output to a coordinated economic sector.

For policymakers, the message is clear: fashion is no longer just about aesthetics or cultural expression. It is about value chains, job creation, export potential, and the broader ambition of building a diversified economy under Vision 2030.

The numbers alone justify the shift. Saudi Arabia’s fashion market is estimated to exceed SAR 70 billion, with projections placing it closer to SAR 90 billion within the next two years. This growth is not incidental. It is underpinned by a young population with rising purchasing power, a rapidly expanding e-commerce ecosystem, and a cultural reawakening that places local identity at the center of consumption patterns. Fashion, in this context, has become both an economic driver and a cultural statement.

Yet for years, the sector lacked the infrastructure to translate demand into sustainable growth. Designers operated in isolation. Manufacturing was largely outsourced. Financing was limited and often ill-suited to the unique cycles of fashion businesses. The result was a market rich in talent but constrained in scale.

The redefined Fashion Investment Fund is designed to change precisely that equation.

A senior official involved in the Fund’s restructuring described the shift in pragmatic terms: “We are moving from supporting designers to building an industry. That means financing production, strengthening supply chains, and ensuring Saudi brands can compete globally—not occasionally, but consistently.”

 

From Creative Fragmentation to Industrial Coordination

The Saudi fashion industry’s trajectory over the past decade can be traced through a series of deliberate milestones. The establishment of the Ministry of Culture in 2018 and the creation of the Fashion Commission shortly thereafter laid the institutional foundation. Subsequent years saw the introduction of training programs, international showcases, and incubators aimed at nurturing local designers.

By 2022, Saudi brands were appearing with increasing frequency on global stages, from Paris to Milan. These appearances were symbolically significant, but they also exposed a structural gap: global visibility without sufficient production capacity at home.

Designers could attract attention, but scaling remained a challenge. Production often relied on international factories, adding cost, complexity, and time. Smaller brands, in particular, struggled to meet minimum order quantities or maintain consistent supply.

The Fashion Investment Fund’s new identity addresses this bottleneck directly. By channeling capital into local manufacturing and mid-scale production facilities, it seeks to anchor the industry domestically. Analysts estimate that localizing even a fraction of current production could reduce costs by up to 30%, while retaining billions of riyals within the national economy.

 

Startups Redefining the Business of Fashion

Parallel to these institutional developments, a new generation of Saudi startups is reshaping how fashion operates. No longer confined to traditional design houses, the ecosystem now includes technology-driven companies addressing inefficiencies across the value chain.

Fashion-tech platforms are introducing data-driven inventory management, AI-powered demand forecasting, and digital retail solutions tailored to local consumer behavior. Resale and rental platforms are tapping into the growing global demand for circular fashion, while logistics startups are optimizing last-mile delivery for fashion e-commerce.

This evolution reflects a broader shift: fashion in Saudi Arabia is becoming as much about systems and scalability as it is about design.

A Riyadh-based entrepreneur operating in this space noted, “The conversation has changed. Investors are not just asking about collections—they are asking about margins, supply chains, and data. That’s a sign the industry is maturing.”

Estimates suggest that more than 1,000 SMEs now operate within the Saudi fashion ecosystem, many of them startups. Their growth potential is significant, particularly as they integrate technology into traditionally labor-intensive processes.

 

Closing the Gaps: Financing, Skills, and Global Access

The challenges facing the sector remain substantial, but they are now more clearly defined—and increasingly addressed.

Financing has historically been one of the most critical gaps. Fashion businesses often require working capital for inventory cycles, a need that traditional funding models have struggled to accommodate. The Fund introduces tailored financial instruments designed specifically for these dynamics, offering both equity investment and flexible capital solutions.

Skills development is another priority. While creative talent is abundant, specialized expertise in pattern-making, textile engineering, and fashion business management remains limited. Training programs supported by the Fund aim to build this capability at scale.

Perhaps most importantly, the Fund is working to bridge the gap between local brands and global markets. International expansion requires more than design excellence; it demands regulatory compliance, branding sophistication, and logistical infrastructure. By facilitating partnerships with global fashion institutions, the Fund seeks to position Saudi brands within international supply chains rather than at their periphery.

 

Economic Impact and Strategic Alignment

The broader economic implications are significant. The fashion sector is expected to generate up to 100,000 jobs by 2030, spanning design, manufacturing, marketing, and retail. Its contribution to non-oil GDP is set to increase as part of the Kingdom’s goal of raising the cultural sector’s share to 3% of GDP.

Equally important is the sector’s role in advancing social objectives. Women lead a majority of fashion startups in Saudi Arabia, making the industry a key driver of female economic participation. This aligns directly with Vision 2030’s emphasis on inclusivity and workforce diversification.

As one industry executive observed: “Fashion sits at the intersection of culture and commerce. It allows Saudi Arabia to tell its story while building a sustainable economic sector.”

 

Global Attention and the Next Phase of Growth

Saudi Arabia’s ambitions in fashion are beginning to attract international attention. Global brands, textile manufacturers, and investors are exploring opportunities in the Kingdom, drawn by its scale, policy support, and growing consumer base.

The emergence of creative districts in Riyadh and large-scale developments such as NEOM adds another dimension, positioning fashion within broader innovation ecosystems. These environments are expected to host design studios, manufacturing facilities, and technology startups, further integrating the sector into the national economy.

Looking ahead, the trajectory appears increasingly defined. The combination of institutional support, targeted investment, and entrepreneurial momentum is transforming fashion from a fragmented market into a coordinated industry.

 

A Sector Coming Into Its Own

The rebranding of the Fashion Investment Fund is, at its core, a statement of intent. It reflects a recognition that creative industries can no longer be treated as peripheral to economic strategy. In Saudi Arabia, fashion is being positioned as a sector capable of generating revenue, creating jobs, and projecting cultural influence on a global scale.

The transition is still underway, and challenges remain. But the direction is clear. What was once a collection of individual efforts is becoming a structured, investable industry—one stitched together by policy, capital, and ambition.

And in that transformation lies a broader truth about the Kingdom’s economic future: diversification is not only being built in factories and energy projects. It is also being designed, produced, and scaled—one collection at a time.

 

Edge Computing in Saudi Arabia: Powering the Next Layer of Digital Transformation

Ghada Ismail

 

For years, the global digital economy has been built on a simple promise: move everything to the cloud. Data from phones, sensors, machines, and platforms would travel to centralized servers, be processed, and return with insights. That model worked well when speed was not critical, and data volumes were manageable.

Today, data is being generated everywhere, in factories, vehicles, hospitals, retail stores, and entire cities. And much of it needs to be processed instantly, not after a round trip to a distant data center. This is where Edge Computing comes in.

Edge computing is the practice of processing data closer to where it is created rather than sending it to centralized cloud infrastructure. Instead of relying on faraway servers, computation happens at or near the source, whether that is a sensor, a machine, a mobile device, or a local data node.

In Saudi Arabia, this shift is becoming especially important. As the Kingdom accelerates its digital transformation under Vision 2030, the demand for real-time intelligence across industries is rising fast. From smart cities to autonomous systems, edge computing is emerging as the invisible layer that makes this transformation possible.

 

The Shift from Cloud to Edge

Cloud computing is not disappearing. In fact, it remains the backbone of global digital infrastructure. But it has clear limitations when speed, scale, and immediacy are required.

One of the biggest challenges is latency. When data must travel to a centralized cloud region and back, even a few milliseconds of delay can matter. In applications like autonomous vehicles, industrial automation, or remote healthcare, that delay is not acceptable.

Bandwidth is another constraint. As billions of devices come online under the Internet of Things, continuously sending raw data to the cloud becomes inefficient and expensive. Not every piece of data needs to travel that far.

Edge computing solves these problems by complementing the cloud rather than replacing it. The cloud still handles heavy analytics, long-term storage, and training of large AI models. Edge systems handle immediate decision-making, filtering, and local processing.

This shift is tightly connected to three major technological trends shaping Saudi Arabia’s digital future.

First is artificial intelligence. AI systems increasingly require real-time inference at the point of action. Second is IoT growth, where sensors and connected devices generate constant streams of data. Third is real-time decision-making, which is becoming essential in sectors ranging from logistics to energy.

Together, these forces are pushing computing closer to the edge.

 

Why Saudi Arabia Is Positioned for Edge Computing

Saudi Arabia is not just adopting digital infrastructure; it is building it on a national scale.

Under Vision 2030, the Kingdom is investing heavily in becoming a global technology and innovation hub. This includes everything from smart infrastructure and digital government services to giga-projects designed around data-driven ecosystems.

Projects such as NEOM, the Red Sea development, and other smart city initiatives are designed from the ground up to rely on real-time data flows. These environments cannot function efficiently if every sensor, camera, or autonomous system must depend on distant cloud servers. They require distributed intelligence, which is exactly what edge computing provides.

Another key factor is data sovereignty. As digital systems become more critical to national infrastructure, there is a growing emphasis on keeping sensitive data within local borders. Edge computing enables localized processing, reducing reliance on external data centers while improving security and regulatory control.

In parallel, Saudi Arabia’s expanding cloud infrastructure, supported by global players and local providers, creates a strong foundation for edge-cloud hybrid systems. Rather than choosing between the cloud and the edge, the Kingdom is increasingly building an integrated ecosystem that uses both.

 

Key Use Cases Across Industries

The real impact of edge computing becomes clear when looking at how it is being applied across industries in Saudi Arabia. In the energy sector, particularly in large-scale oil and gas operations, vast volumes of operational data are generated across upstream and downstream systems. Edge computing architectures can enable faster monitoring of equipment, predictive maintenance, and real-time anomaly detection by processing data closer to the source rather than relying solely on centralized systems. This approach helps improve operational efficiency and reduce downtime across critical energy infrastructure.

In smart cities and giga-projects such as NEOM and the Red Sea developments, edge computing plays a foundational role. Autonomous transport systems, smart grids, surveillance networks, and environmental sensors all rely on instant data processing. Without edge infrastructure, the responsiveness required for these environments would not be achievable.

Healthcare is another area seeing rapid transformation. Real-time diagnostics, connected medical devices, and remote patient monitoring systems require instant data interpretation. Edge computing allows hospitals and healthcare providers to process patient data locally, reducing delays that could affect critical decisions.

In logistics and retail, edge computing supports automation in warehouses, real-time inventory tracking, and smarter supply chain management. Delivery fleets, for example, can benefit from instant route optimization based on live traffic and operational data.

The gaming and entertainment industry is also becoming a major beneficiary. Cloud gaming, augmented reality, and immersive digital experiences require ultra-low latency. Edge nodes placed closer to users significantly improve performance, enabling smoother gameplay and more responsive digital environments.

 

The Emerging Edge Ecosystem in Saudi Arabia

As demand grows, a new ecosystem of infrastructure and technology providers is beginning to take shape in Saudi Arabia and the wider region, supporting the shift toward distributed and edge-enabled computing.

Local players are laying much of the groundwork. Edarat Group is one example, offering data center engineering, cloud services, and edge AI capabilities, while also partnering with global firms to deploy modular infrastructure closer to where data is generated. This positions it as part of the emerging layer, enabling more distributed computing models.

Another company contributing to this foundation is Ezditek, which is investing in large-scale data center capacity and digital infrastructure, including projects linked to NEOM. While not exclusively focused on edge computing, such investments are essential in building the physical backbone that edge architectures depend on.

On the global side, specialized technology firms are also entering the Saudi market. EdgeCortix, for instance, is expanding into the Kingdom through the National Semiconductor Hub, bringing energy-efficient AI accelerator technologies designed specifically for edge environments. This reflects a broader industry shift toward embedding AI processing directly into devices and localized nodes, rather than relying solely on centralized cloud infrastructure.

Together, these companies represent an early-stage but rapidly evolving ecosystem that combines infrastructure providers, AI hardware innovators, and distributed computing platforms.

 

Challenges Slowing Adoption

Despite strong momentum, edge computing adoption in Saudi Arabia still faces several challenges.

One of the most significant is infrastructure cost. Deploying distributed edge nodes across a large geography requires substantial investment in hardware, connectivity, and maintenance. Unlike centralized cloud models, edge systems are physically dispersed, making them more complex to scale.

Another challenge is talent. Edge computing sits at the intersection of cloud engineering, networking, cybersecurity, and artificial intelligence. The demand for professionals with cross-disciplinary expertise is growing faster than supply, creating a skills gap that needs to be addressed through education and training.

Integration is also a technical hurdle. Most enterprises in Saudi Arabia are already operating on cloud platforms. Integrating edge systems with existing cloud architectures requires careful design to ensure consistency, security, and data synchronization.

Finally, the market is still in its early stages. While interest is high, large-scale deployments are still emerging, meaning that best practices, standards, and regulatory frameworks are still evolving.

 

The Future ahead

The next phase of edge computing in Saudi Arabia will likely be defined by convergence.

Edge and artificial intelligence are becoming deeply interconnected. Instead of sending data to the cloud for AI processing, models are increasingly being deployed directly at the edge. This allows systems to make decisions in real time, from autonomous machines to smart infrastructure.

At the same time, the Kingdom is expected to see a rise in localized data infrastructure. More edge data centers, micro data centers, and distributed computing nodes will emerge closer to population centers and industrial zones.

This evolution positions Saudi Arabia as a potential regional edge computing hub, not just a consumer of global technology but a producer and exporter of advanced digital infrastructure capabilities.

Investor interest is also expected to increase as the ecosystem matures. As edge use cases become more visible and commercially viable, startups and venture capital activity in this space will likely accelerate.

 

Conclusion: Edge as Invisible Infrastructure

Edge computing will not be something most people see or interact with directly. It will not be a visible platform or a consumer-facing application. Instead, it will function as invisible infrastructure, powering the systems that define modern life.

From smart cities that respond instantly to environmental changes, to autonomous systems that make split-second decisions, to digital services that operate without delay, edge computing will sit quietly beneath it all.

In Saudi Arabia, this shift is particularly significant. As the Kingdom builds one of the world’s most ambitious digital transformation agendas, edge computing is becoming one of its most essential enabling layers.

It is not replacing the cloud. It is completing it.

Shawky: AI Powers a New Era of Efficiency and Innovation in Extended-Stay Hospitality

Shaimaa Ibrahim 

 

In a rapidly evolving hospitality landscape, extended-stay accommodation is emerging as one of the region’s most dynamic yet underserved segments. As workforce mobility rises and demand increases for flexible, long-term living solutions, traditional hospitality models are reaching their limits. Persistent pricing inefficiencies, fragmented supply, and the absence of enterprise-grade infrastructure continue to define a market that is still in the early stages of digital transformation.

 

In this exclusive interview, Osama Shawky, Founder and CEO of estaie, shares insights into how the company is redefining the extended-stay category through AI-driven pricing, platform-based infrastructure, and strategic supply aggregation. He discusses the key structural gaps in the market, the transformative role of AI in hospitality technology, and estaie’s ambition to position itself as a foundational infrastructure layer for extended stays across the region. Shawky also outlines the company’s growth strategy following its recent funding round, its expansion priorities in Saudi Arabia, and the regulatory and operational challenges shaping its path forward.

 

What key gaps exist in the Extended-Stay market, and how is estaie addressing them differently from traditional platforms?

The extended-stay market is fundamentally underserved. Monthly stays are treated as a secondary use case, pricing is static, and enterprise workflows are missing. estaie addresses these challenges by building a dedicated platform for stays ranging from 30 to 365 nights, combining AI-driven pricing, enterprise infrastructure, and aggregated supply. The most complex gap is pricing, which we are addressing through proprietary, patent-pending intelligence.

 

How is AI transforming hospitality tech, and which applications have the greatest impact on customer experience and operational efficiency?
AI is shifting hospitality from static distribution to real-time optimization. The biggest impact comes from dynamic pricing, demand forecasting, and the automation of booking and billing processes. In extended stays, AI is critical because it optimizes duration, pricing, and operations simultaneously.

 

How mature is the hospitality tech sector in the region, and where does estaie aim to position itself in this digital transformation?

The hospitality tech sector in the region is still in its early stages, especially in the extended-stay segment, where there is a heavy reliance on manual processes. This creates a clear opportunity. Our ambition is to position estaie as the infrastructure layer for extended stays across the region.

 

How are startups driving innovation in hospitality tech, and how can they redefine traditional business models?
Startups are shifting the model from asset-heavy to platform-driven. However, real innovation goes beyond user experience—it involves solving challenges around pricing, supply standardization, and enterprise integration. That’s where we are focused.

 

After your recent funding round, what are your top priorities for deploying capital, particularly in tech infrastructure and strategic partnerships?

We’re prioritizing defensibility. This includes investing in AI-driven pricing infrastructure, building enterprise integrations, and expanding supply through strategic partnerships. The objective is to create strong network effects early.

 

Why is the Saudi market a priority for expansion, and what opportunities are you targeting in Riyadh?
Saudi Arabia represents one of the largest pools of unmet demand globally for extended stays. Riyadh is becoming a hub for corporate relocation and project-based work, but the supply remains fragmented. We are targeting this demand-supply imbalance early.

 

What regulatory and operational challenges do you anticipate in Saudi Arabia, and how are you preparing to address them?

The main challenges revolve around classification, compliance, and billing structures. We are addressing them through local partnerships, regulatory alignment, and product localization. These complexities ultimately become barriers to entry.

 

What factors drive your strong monthly growth, and how did you quickly build a partner network of hundreds of hotels?

Our growth is driven by solving a high-value problem for both corporates and supply partners. We deliver better pricing, higher occupancy, and a seamless experience. This alignment, combined with fast execution and low onboarding friction, has enabled rapid network expansion.

 

What is your strategic forecast for the future of the extended-stay market in the region?

We see extended stays becoming a distinct, technology-driven category within the hospitality sector, driven by workforce mobility and flexible living. The core challenge—pricing and standardization at scale—remains unsolved, and that’s where we are building our advantage.

 

Insolvency vs Bankruptcy: Understanding the Difference Before It’s Too Late

Ghada Ismail

 

When a business hits a rough patch, the words “insolvency” and “bankruptcy” often get tossed around like they mean the same thing, but they don’t. Think of insolvency as a warning light flashing on your financial dashboard, while bankruptcy is the emergency brake pulled when that warning goes unheeded.

For entrepreneurs, founders, and small business owners, knowing the difference isn’t just academic—it can mean the difference between saving your company and losing it entirely. Spotting trouble early gives you a chance to act, restructure, and steer your business back to stability before it’s too late.

 

What Is Insolvency?

Insolvency isn’t a sudden disaster; it’s a financial red flag. It happens when a person or business can’t pay debts on time. You might still own valuable assets, like property or inventory, but if cash isn’t flowing in fast enough to cover obligations, trouble is brewing.

There are two main types of insolvency. Cash flow insolvency happens when a business can’t meet immediate payments, even if it owns assets that could eventually cover debts. Balance sheet insolvency is more severe; it occurs when total liabilities outweigh total assets, meaning selling everything wouldn’t be enough to repay creditors.

The key thing to remember: insolvency is a financial condition, not a legal process. Many businesses go through temporary insolvency without ever entering court. With quick action—like renegotiating debts, restructuring operations, or securing new funding—recovery is often possible.

 

What Is Bankruptcy?

Bankruptcy, in contrast, is a legal procedure that a person or company initiates when debts have become unmanageable. Here, the court steps in to oversee how debts are handled, assets are distributed, or obligations are restructured.

Bankruptcy can take different forms. Liquidation means selling all assets to repay creditors and closing the business. Reorganization allows the company to continue operating while paying off debts under court supervision.

Put simply, bankruptcy is a legal response to insolvency, not the same as insolvency itself. Think of insolvency as the storm warning and bankruptcy as the life raft—if you ignore the warning, you may end up in court.

 

Why the Difference Matters

For business owners, confusing insolvency with bankruptcy can be costly. Insolvency is the stage where you still have options. Acting fast can prevent a full-blown bankruptcy. This could mean cutting unnecessary costs, renegotiating loan terms, pivoting your business model, or bringing in new investment.

Once bankruptcy proceedings start, control slips away. Creditors and the court decide your company’s fate, leaving little room for entrepreneurial maneuvering. Knowing where your business stands financially lets you act proactively instead of reactively.

 

Warning Signs You Can’t Ignore

Insolvency rarely hits overnight. It usually creeps in with small, manageable problems that grow if ignored.

Watch for persistent cash flow shortages, like delayed supplier payments or reliance on short-term borrowing. Declining profit margins combined with rising debt are also red flags. For startups, these signals are amplified—long periods of unprofitability and reliance on investor funding make sudden cash shortages more dangerous.

The earlier you spot these issues, the more options you have. Acting too late can force a company into bankruptcy even if it might have been saved.

 

Insolvency Doesn’t Always Mean Failure

Despite the scary terminology, insolvency doesn’t automatically mean the end. Many successful companies have faced insolvency, restructured, and bounced back stronger. The key is timing and strategy. Acting early—cutting costs, restructuring debt, and finding new revenue streams—can turn financial trouble into a turnaround story.

 

Wrapping Things Up…

Insolvency and bankruptcy are connected but not the same. Insolvency is a financial warning: you can’t pay your debts on time or owe more than you own. Bankruptcy is a legal response to insolvency when the situation becomes unsustainable.

For entrepreneurs, recognizing the difference is crucial. Insolvency is your chance to course-correct. Bankruptcy signals that the situation has escalated to the legal stage, often leaving you less control over your company’s future.

By spotting the warning signs early and taking decisive action, businesses can often navigate through financial challenges, recover, and even thrive. In finance, timing isn’t just important—it can save your business.