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

Energy Tech in Saudi Arabia: How Solar Innovation Is Powering the Kingdom’s Next Energy Era

Ghada Ismail

 

For decades, Saudi Arabia’s global energy identity has been closely tied to oil production. Yet in recent years, the Kingdom has begun positioning itself as a future leader in renewable energy, particularly solar power. With vast deserts, high sunlight exposure, and strong government backing, Saudi Arabia is rapidly building a solar ecosystem that combines large infrastructure projects with innovative startups developing technologies tailored for desert environments.

This shift is not simply environmental. It is deeply economic. As part of Vision 2030, Saudi Arabia aims to diversify its economy and reduce domestic reliance on hydrocarbons for electricity generation. Renewable energy now sits at the center of that transformation.

The Kingdom has set an ambitious target: generating 50% of its electricity from renewable sources by 2030, requiring around 130 gigawatts of renewable energy capacity, most of which will come from solar power. 

To put that in perspective, Saudi Arabia’s renewable energy capacity was almost nonexistent a decade ago. Today, large-scale projects are already producing electricity while dozens more are under development. Solar technology is not only becoming a key energy source—it is emerging as a new sector for innovation and entrepreneurship.

 

Why Saudi Arabia Is Ideal for Solar Technology

Saudi Arabia possesses some of the strongest solar resources on Earth. Studies by the King Abdullah City for Atomic and Renewable Energy show that solar radiation across much of the Kingdom averages around 5.5 to 6.5 kilowatt-hours per square meter per day, placing it among the most sun-rich regions globally. Research on solar resource mapping conducted by King Abdullah University of Science and Technology indicates that annual solar irradiation levels typically range between 2,100 and 2,400 kWh per square meter, giving the Kingdom a natural advantage: solar panels installed in Saudi Arabia can generate significantly more electricity than similar systems in many other countries.

These environmental conditions make solar energy economically attractive. Renewable energy tenders organized under the Kingdom’s procurement program, managed by the Saudi Power Procurement Company, have produced some of the lowest solar electricity prices ever recorded globally, with winning bids falling below $0.02 per kilowatt-hour in several competitive auction rounds, according to analyses by the World Bank and international solar market reports.

Yet the Saudi environment also presents unique technical challenges. Research from King Abdullah University of Science and Technology highlights how dust accumulation, extreme temperatures, and large-scale desert installations can significantly reduce photovoltaic efficiency. As a result, simply importing conventional solar technology is often not enough, creating demand for desert-adapted solar solutions and new technological innovation.

This is where Saudi energy tech startups and research institutions are stepping in, developing innovations designed specifically for desert climates.

 

Startups Tackling Solar’s Desert Challenges

One of the most prominent Saudi solar technology startups is NOMADD Desert Solar Solutions, a company originating from research conducted at the King Abdullah University of Science and Technology (KAUST). The acronym NOMADD stands for NO‑water Mechanical Automated Dusting Device — a solution developed in response to the specific challenges of cleaning solar panels in desert environments.

Dust accumulation is a major obstacle for solar farms in desert regions. Sand and fine particles settle on panels and block sunlight, reducing electricity output. According to NOMADD’s founder, daily dust soiling can cut production by around 0.5–1% per day, and after severe sandstorms, efficiency losses can reach as much as 60% if panels are not regularly cleaned.

Traditional cleaning systems often rely on large amounts of water, an impractical solution in water-scarce arid regions. NOMADD addressed this by developing autonomous robotic cleaning systems that remove dust from solar panels without water. These robots traverse solar arrays, gently brushing surfaces to maintain performance while minimizing maintenance costs and water use. 

This technology is particularly relevant as Saudi Arabia deploys massive solar farms across desert landscapes, including those planned for megaprojects such as NEOM, where maintaining high output amid harsh conditions is essential for renewable energy targets. 

 

Mirai Solar and the Rise of Agrivoltaics

Another emerging Saudi startup pushing solar innovation forward is Mirai Solar, which is developing flexible and transparent solar technologies designed for agriculture and greenhouse applications.

Unlike traditional solar panels that completely block sunlight, Mirai Solar’s photovoltaic modules allow some light to pass through while converting part of it into electricity. This technology enables solar panels to function as shading systems for greenhouses.

In hot climates like Saudi Arabia’s, excessive sunlight can stress crops and increase cooling costs in agricultural environments. By integrating solar shading structures with energy generation, Mirai Solar’s systems simultaneously produce electricity while creating a more controlled environment for agriculture.

This approach belongs to a growing field known as ‘agrivoltaics’, which combines agriculture and solar power generation on the same land. In regions where water and arable land are limited, such hybrid systems could help improve both energy and food sustainability.

 

Solar Windows and Energy-Producing Buildings

Another innovative Saudi climate tech company working on solar energy solutions is Iyris, a startup developing transparent photovoltaic materials designed for building integration.

The company’s technology focuses on glass coatings that capture infrared light while allowing visible light to pass through. This means windows can generate electricity while still functioning as normal building glass.

Beyond electricity production, this technology can significantly reduce heat entering buildings. In Saudi Arabia, where air-conditioning accounts for a large share of electricity consumption, reducing solar heat gain could dramatically lower energy demand.

If deployed at scale, energy-generating glass could transform urban architecture, allowing buildings to function as distributed power generators rather than passive energy consumers.

 

Research Institutions Driving Solar Innovation

Many Saudi solar startups originate from academic research institutions rather than traditional venture capital ecosystems.

King Abdullah University of Science and Technology has emerged as one of the region’s most important hubs for renewable energy research. The university hosts dedicated laboratories focused on photovoltaics, energy materials, and solar system engineering.

Through commercialization programs and accelerators such as TAQADAM, research projects can evolve into venture-backed startups capable of scaling globally.

Companies like NOMADD and Iyris demonstrate how academic research can transition into real-world energy technologies that address regional environmental challenges.

 

The Solar Infrastructure Boom

Alongside startup innovation, Saudi Arabia is investing heavily in utility‑scale solar infrastructure as part of its renewable energy transition under Vision 2030. One of the Kingdom’s flagship projects is the Sudair Solar PV Project, a 1.5‑gigawatt solar installation in Sudair Industrial City,  one of the largest single‑site solar plants in the country and among the largest globally at this scale.

Another massive development is the Al Shuaibah solar project, planned to reach around 2.6 gigawatts of installed capacity, making it one of the region’s largest solar power projects and a major component of the National Renewable Energy Program.

The Kingdom’s solar market is also expanding rapidly in economic terms. According to industry research by IMARC Group, the Saudi solar energy market was valued at about $8.3 billion in 2025 and is forecast to grow to around $145 billion by 2034, driven by continued deployments and growth in solar technologies and infrastructure.

These large‑scale projects provide the infrastructure backbone for the renewable energy transition, while startups and technology companies help build the innovation layer that makes solar systems more efficient, durable, and scalable.

 

A New Energy Technology Ecosystem

Traditionally, energy industries have been dominated by massive corporations and government-backed utilities. Solar technology is changing that dynamic.

Because solar power involves numerous technological components—from materials science and robotics to software and energy storage—it creates opportunities for smaller companies to develop specialized solutions.

Saudi startups are increasingly focusing on technologies such as solar panel maintenance automation, advanced photovoltaic materials, smart energy monitoring systems, and building-integrated solar technology.

Rather than competing with utility-scale energy companies, these startups operate within the broader energy ecosystem, developing the tools and infrastructure that allow solar energy systems to operate more efficiently.

 

Challenges for Solar Startups

Despite strong government support, building energy technology companies remains challenging.

Solar hardware development often requires long research cycles and expensive testing environments. Scaling technologies from laboratory prototypes to industrial-scale deployment can take years.

Regulatory requirements for energy infrastructure can also slow commercialization. Solar technologies must comply with grid standards, safety regulations, and large-scale engineering requirements.

Yet Saudi Arabia’s growing investment in renewable energy may gradually reduce these barriers. As solar deployment accelerates, demand for supporting technologies will likely increase.

 

The Future of Solar Tech in Saudi Arabia

Saudi Arabia’s solar ambitions extend far beyond generating electricity. In the coming decades, solar technologies could power smart cities, enable energy-positive buildings, support sustainable agriculture, and drive green hydrogen production.

The Kingdom’s natural solar resources, combined with strong government backing and emerging startup innovation, create the conditions for a new energy technology sector to emerge.

For a country historically defined by oil, the next chapter of its energy story may be written under the desert sun.

Activist investors: how a minority stake can drive big corporate changes

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.

CEO: Link Datacenter expands investments to drive digital transformation in Egypt, Saudi Arabia

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

AI-Native Startups: The New Breed of Companies Built Directly on Intelligence

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.

 

When and why mature startups raise Series E funding

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.