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

The Middle East's next brand revolution will be heard

Roudny Nahed, Partnership Manager at MusicGrid 

 

Across the Middle East, a new generation of brands is emerging, driven by ambitious national visions, digital innovation, and a growing focus on customer experience. As the region continues to redefine its position on the global stage, sound is becoming an increasingly valuable way for businesses to express their identity, connect with audiences, and build lasting recognition. 

The Middle East is undergoing a transformation that extends beyond infrastructure, technology, and economic diversification. It is changing how brands are created, experienced, and remembered. 

Across the GCC, new industries are emerging, established organizations are reinventing their customer experiences, and homegrown brands are increasingly expanding their ambitions beyond regional markets. 

This transformation raises an important question: as the way people interact with brands evolves, shouldn't the way brands express their identities evolve as well? 

Sound has an increasingly important role to play in answering that question. 

 

The Experience Economy Is Changing the Role of Sound 

Saudi Arabia offers a compelling example of this evolution. 

The Kingdom's tourism strategy targets 150 million visits by 2030, while its financial sector development ambitions include expanding the fintech ecosystem to 525 companies by the same year. 

These ambitions represent more than economic growth. They signal an expanding landscape of customer interactions across aviation, hospitality, financial services, entertainment, and digital platforms. 

An airline's identity is experienced throughout the passenger journey. A bank's relationship with customers increasingly develops through its mobile application. A hospitality brand communicates its personality through the atmosphere it creates. 

In each case, sound can reinforce recognition, communicate emotion, and connect different moments into a consistent brand experience. 

As the region invests in more sophisticated customer journeys, sonic branding has an opportunity to evolve from a creative element into part of a brand's infrastructure. 

 

From Musical Identity to Brand Infrastructure 

One of the most important shifts in sonic branding is the move from creating individual audio assets to developing connected sonic ecosystems. 

A sonic logo may be the most recognizable element, but its strategic value grows when integrated across advertising, digital interfaces, customer service, and physical environments. 

In 2020, Mastercard and Network International announced an initiative in the UAE to integrate Mastercard's sonic identity into payment terminals, allowing customers to hear a recognizable confirmation sound when completing transactions. 

This demonstrates how sound can serve both a functional purpose and a branding objective. 

For businesses across the Middle East, the opportunity is to design sonic branding into the customer journey rather than introduce it as an afterthought. 

 

Cultural Intelligence: The Region's Creative Advantage 

The Middle East possesses another significant advantage: its rich and diverse musical heritage. 

From distinctive rhythmic structures to melodic traditions and regional instrumentation, sound carries cultural associations shaped by history and collective experience. 

However, creating an authentic regional sonic identity requires more than incorporating traditional instruments. 

A contemporary Saudi financial institution, for example, does not necessarily need traditional melodies to express its cultural roots. Authenticity can emerge through rhythmic character, melodic movement, and emotional associations that reflect the brand's personality. 

This is where ethnomusicology, cultural understanding, and brand strategy intersect. 

For Middle Eastern brands with international ambitions, the ability to balance cultural authenticity with contemporary creativity can become a meaningful competitive advantage. 

 

Recognition Must Be Built, Not Assumed 

The business value of sonic branding extends beyond creating memorable music. 

Research from Ipsos highlights the effectiveness of distinctive brand assets, including sonic cues, in strengthening advertising recognition and performance. 

However, recognition does not develop through composition alone. It requires consistent exposure, meaningful associations, and disciplined implementation. 

A sonic identity used only during a launch campaign has limited opportunities to build long-term familiarity. 

Organizations must therefore consider where sound appears, how it adapts across different markets, and how consistently its recognizable elements are maintained. 

The objective is not simply to create a sound people enjoy, but to develop an identity they can recognize and associate with the brand over time. 

 

The Opportunity for Regional Leadership 

The Middle East is experiencing a powerful convergence of economic diversification, digital transformation, cultural investment, and creative ambition. 

Together, these developments are creating an environment where sonic branding can play an increasingly strategic role. 

The opportunity is not simply to adopt international practices, but to develop regional expertise in creating culturally intelligent, technologically integrated, and globally recognizable sonic identities. 

 

The Middle East is building a new generation of brands. The next opportunity is to give those brands a distinctive sound that the world can recognize. 

Saudi Arabia’s event management sector: growth, technology, and new opportunities

Noha Gad

 

Saudi Arabia’s event management industry is experiencing a period of remarkable growth, driven by Vision 2030’s agenda and its ambition to transform the Kingdom into a leading global destination for business, culture, entertainment, and sport. Analysts believe the growth in the event management market is largely attributed to substantial investments in venues and groundbreaking infrastructure.

According to a recent report released by Research and Markets, the event management market in Saudi Arabia is expected to grow from $2.59 billion in 2025 to reach $3.92 billion by 2031, making a compound annual growth rate (CAGR) of 7.14%. In addition, the IMARC Group estimated the market to reach $21.1 billion by 2034, exhibiting a CAGR of 8.08% between 2026 and 2034. This growth, the group said, is driven by rising tourism, government initiatives, increased corporate spending, and growing demand for entertainment and cultural experiences, as well as developments in event technology and social media integration.

The growing role of technology in shaping the Saudi event management industry encouraged organizers and emerging companies to use digital tools to improve planning, communication, guest management, and post-event analysis, thereby delivering larger, safer, and more personalized experiences.

Artificial intelligence (AI) is a key tool organizers and event management companies use to understand attendee preferences, recommend relevant sessions or exhibitors, answer guest questions through chatbots, and translate content for international audiences.

Data analytics is another driver behind the transformation that the event management market is witnessing. It helps organizers and event-tech companies to benefit from digital registration systems, mobile applications, and smart badges to collect information about attendance, movement, engagement, and feedback. Analyzing these data responsibly could help organizers measure the success of an event more accurately and improve future editions. Sponsors and exhibitors can also understand audience behavior, generate qualified leads, and demonstrate return on investment.

Automation is another tool that simplifies many routine tasks that previously required significant manual work, such as sending invitations, registration confirmations, reminders, check-in processes, surveys, and post-event reports. This will reduce administrative burdens, lower the risk of human error, and allow event managers to focus more on creativity, guest experience, and strategic planning.

Also, augmented reality (AR), virtual reality (VR), interactive screens, and holographic displays can make exhibitions, brand activations, and entertainment events more engaging.

Together, these advanced technologies are not replacing event managers; they are redefining their role. The most successful companies in Saudi Arabia’s event management market will be those combining strong local knowledge and operational expertise with digital tools that create smarter, safer, and more memorable experiences.

The event-management sector is no longer dominated solely by traditional agencies and venue operators. A layered ecosystem has emerged, spanning full-service event agencies, specialized production and AV companies, venue-management companies, ticketing platforms, and a growing cohort of event-tech startups. 

Companies such as SYNC, one of the leading event solutions providers, position themselves as end-to-end event solutions providers, handling everything from Saudi Conventions and Exhibitions General Authority (SCEGA) licensing and venue coordination to AV production and on-site execution. Serving government entities, corporate clients, and conference organizers, the competitive advantage of these companies lies in regulatory familiarity, supplier networks, and in-house production capability rather than software innovation.

In the AV and staging area, Al-Khalediya for Theatres and Cinema is one of the key players that has executed more than 1,000 projects across Saudi Arabia and the GCC, specializing in theatre design, acoustic systems, seating, and cinema fit-outs.

Hybrid-event and event-tech providers, such as INVE, do not execute events themselves, but provide software that organizers use to manage invitations, registration, guest data, and entry.

INVE is one of the Saudi-based startups that leverage technology to transform the event management industry in the Kingdom by offering digital invitations, RSVP tracking, guest profiles, registration, check-in, and follow-up communication in one platform. Serving both corporates and individuals, INVE reflects the industry’s move toward relationship-based and technology-enabled event management, seeking to turn a single event into a long-term guest-relationship asset.

Venttat is a leading Saudi event management company, offering expert services for organizers and exhibitors. It serves as a one-stop shop for corporate events, meetups, conferences, and global event technology services, exhibitor infrastructure, and digital logistics.

The growing event management market in Saudi Arabia is providing significant opportunities for investors, startups, and established companies, as the Kingdom hosts more international conferences, entertainment events, sporting competitions, and cultural festivals. This increases demand not only for event managers and organizers but also for the technology, services, and infrastructure that support them.

Startups and event planning companies will need to tailor AI-powered solutions and products for attendance forecasting, personalized recommendations, attendee matchmaking, chatbots, feedback analysis, and automated content creation. Smart venue technology presents significant opportunities as startups can focus on developing digital access control, crowd monitoring, security systems, digital signage, and real-time venue-management dashboards.

Despite its strong growth potential, the event management industry in Saudi Arabia faces several challenges that could affect its long-term development. One of these challenges is the scarcity of specialized talent, particularly in areas such as event production, technical operations, digital marketing, data analysis, and multilingual guest services. 

The growing number of event agencies, venues, and technology providers is increasing pressure on companies, which will need to differentiate themselves through quality, creativity, reliability, and strong client relationships rather than competing solely on cost.

Quality and consistency are another challenge, especially as Saudi Arabia seeks to host world-class events. Thus, organizers must meet high expectations for safety, logistics, guest experience, and operational precision. 

To sum up, Saudi Arabia’s event management industry is entering a new phase of development, driven by Vision 2030, major technological advancements, and the Kingdom’s growing position as a regional hub for business, culture, and entertainment.

Technology will be central to this growth, helping event organizers and managers change how they plan, deliver, and measure events, ultimately enabling them to focus on creativity, guest experience, safety, and strategic decision-making. Companies that can combine operational expertise with digital innovation will be best placed to meet the rising expectations of corporate clients, government entities, sponsors, and attendees.

The micromanager: When control replaces leadership

Noha Gad

 

Have you ever dealt with the manager who asks you to Cc them on every email? The one who rewrites your work not because it is wrong, but because it is not exactly how they would have done it. They think they are protecting quality, meeting deadlines, and ensuring good results by focusing on minor details, demanding approval for small decisions, and leaving employees with little freedom to make their own choices.

A micromanager excessively supervises employees, focusing on controlling every task detail. Although this management style might yield short-term results, it often undermines morale and hampers team productivity in the long run. Instead of directing employees on how and when tasks can be accomplished, micromanagers watch employees’ actions closely, providing frequent criticism.

Key features of micromanagers

Micromanagers share several common behaviors. Although every situation is different, these signs usually appear:

  • Lack of trust and delegation. These managers refuse to delegate tasks or take over work because they believe no one else can accomplish it right.
  • Continuous supervision. Micromanagers demand frequent status updates, require approval for minor decisions, and track every step of a project.
  • Excessive focus on minor details: They obsess over formatting, wording, or trivial errors instead of looking at overall progress. They may criticize a report because of its font or structure, even when the content is strong and the client is satisfied.
  • CC'ing on everything: They insist on being copied on all emails and sitting in on routine communications. This makes employees feel unable to act without asking permission first.

 

Negative impact on the workplace

Micromanagement may seem like a way to maintain control and quality, but it often creates serious problems for employees and the wider business, such as: 

  • Reducing employee morale. When employees feel constantly observed and corrected, they start losing enthusiasm for their work. They may feel that their manager does not trust their skills or respect their judgment.
  • Increasing stress. Frequent check-ins, repeated revisions, and constant approval requirements can make employees feel pressured and insecure. They may worry about making mistakes or being criticized for small details.
  • Lowering confidence. When a manager rewrites employees’ work, questions their choices, or takes over tasks, they may begin to doubt their own abilities.
  • Discouraging creativity and new ideas. Micromanagers often prefer their own method, leaving little room for different approaches. This makes employees less likely to share ideas when they believe every suggestion will be rejected or changed. 
  • Slowing down the work cycle. When every small decision needs approval, projects take longer to be done, as employees may spend more time waiting for feedback than doing actual work.
  • Reducing productivity.  Although micromanagers often believe they are improving performance, their behavior can have the opposite effect. Employees may lose motivation to work efficiently because they know their manager will likely change the work anyway.

Micromanagers can take concrete steps to change their management. First, they should establish a few key metrics that define success for any project, ignoring every other detail that falls outside those parameters. They should delegate specific needs to be done, not control the way team members do it. An open-door policy should be in place so team members can seek coaching or further guidance whenever they feel they need it. Finally, managers should set a deadline for each stage of an assigned project.

To sum up, micromanagement may seem to be a commitment to quality, but it often creates stress, lowers morale, and reduces productivity. When employees feel constantly monitored and are given little freedom to make decisions, they may lose confidence, avoid sharing ideas, and become less engaged in their work. Successful leaders focus on clear goals, trust their teams, delegate responsibility, and provide guidance when needed.

AILA Seeks to Bridge Learning Gaps Through Personalized Education

Ghada Ismail

 

As artificial intelligence continues to reshape education, edtech startups are exploring new ways to personalize learning, improve student performance, and support teachers with data-driven insights. AILA is among the companies working to transform the learning experience through AI-powered solutions tailored to students’ individual needs and the Saudi education system. In this interview with Sharikat Mubasher, AILA discusses its approach to personalized learning, the challenges of developing effective AI-driven educational tools, and the opportunities for edtech startups as Saudi Arabia advances its education and digital transformation goals.

 

AILA has recently secured a $3 million funding round. What does this investment enable the company to do that it could not do before?

Our earlier funding helped us build the product and reach product-market fit. We now have schools using AILA every day and results we can stand behind. This round is about scaling what already works. 

First, it lets us go deeper on our adaptive engine and our research. We want to keep proving, with rigorous evidence, that AILA improves how students learn, building on the work we have done with King Fahd University of Petroleum & Minerals. 

Second, it lets us scale our commercial and customer success teams so we can serve many more schools across the Kingdom, and support each one properly after launch. 

Third, it lets us expand beyond the Saudi curriculum. Today we are strongest around Qudurat, Tahsili and NAFES. By adding other curricula, we can take the same engine to new markets and serve many more students. 

 

Do you expect this round to take AILA to profitability, or is the priority still aggressive growth and market expansion? 

Our priority is growth, but disciplined growth. We have built a business with strong fundamentals, and our product runs at a gross margin of around 67%, which gives us a lot of room to grow efficiently. 

Reaching profitability is a clear goal for this round. We want to scale to more schools and new markets while becoming profitable, so that we go into our Series A from a position of strength. We are not buying growth at any cost. Every school we sign needs to make sense on its own. 

 

AILA describes its approach as personalized, AI-powered learning. What makes your personalization technology different from the growing number of AI tutoring and edtech platforms entering the market? 

Many new AI platforms are essentially content generators: you ask a question, you get an answer. That is useful, but it is not the same as teaching. AILA is built around diagnosis. We work out exactly where each student is, what they have mastered and what is holding them back, and then we guide them on the shortest path to improvement. 

Three things set us apart. First, we are built for the Saudi context, mapped to national learning outcomes and assessments such as Qudurat, Tahsili and NAFES, and available in both Arabic and English. Second, we work inside schools, so the insight does not stay with the student. Teachers, administrators and principals see the same picture and can act on it. Third, we measure results. Our benchmark shows students learning about 2.3 times more efficiently, and our pilot results have been validated through a research partnership with King Fahd University of Petroleum & Minerals. 

 

How does AILA use student data and learning behavior to determine what a student should learn next? 

Every interaction on the platform tells us something: whether the answer was right, how long it took, how many attempts were needed, and what kind of mistake was made. We map all of that to a structure of skills and learning outcomes, so we can estimate each student's level of mastery skill by skill. 

From there, the engine decides what comes next. It looks at the gaps that matter most, the prerequisite skills that need to be secured first, and how heavily each skill counts in the assessment the student is preparing for. It also brings back earlier material at the right moment, so learning sticks rather than fading. 

The same data flows to teachers and school leaders as clear, actionable reports, so they know which students need help and on what. 

 

What are the biggest technical challenges in building AI systems that can genuinely improve learning outcomes rather than simply generate educational content? 

The hardest part is measuring learning rather than activity. It is easy to build something students click on a lot. It is much harder to prove they actually know more afterwards. That is why we invest in validation and research, not just in features. 

The second challenge is quality and alignment. Content must be accurate, pedagogically sound and aligned with the Saudi curriculum, in both Arabic and English. Generative AI can produce a lot very quickly, but in education a confident wrong answer does real damage, so we keep strong quality control around everything the system shows a student. 

The third is getting the recommendation right from limited data, especially when a student is new to the platform, and keeping it right as they progress. 

And finally, the system has to fit how schools actually work. AI does not replace the teacher. It has to give teachers and school leaders insight they can act on in the time they have. 

 

What gaps in the Saudi education system did you identify when you first built AILA, and how have those needs evolved since the company launched? 

When we started, the biggest gap was that one classroom holds students at very different levels, yet they are largely taught the same way at the same pace. Teachers knew some students were falling behind, but they did not have the time or the granular data to know exactly why. At the same time, national assessments carry high stakes for students, and much of the targeted preparation was happening outside school. 

We built AILA to bring that personalized, data-driven support inside the school, where every student can access it. 

At the same time, AI itself has advanced enormously since we launched. Models today understand language, reasoning and student errors far better than they did a few years ago, in Arabic as well as English. That has let us do much more than we originally planned: sharper diagnosis, richer and more personal feedback, and a far better experience for students and teachers. Our offering today is stronger than what we could have built at the start. 

The need has also matured. Schools are no longer only asking how to prepare students for an exam. They want continuous visibility on learning outcomes across the year, aligned with national standards, so leaders can make decisions based on evidence. That shift, driven by Vision 2030 and the Human Capability Development Program, has shaped how our platform has grown. 

 

Saudi Arabia is investing heavily in education technology as part of its broader digital transformation. Where do you see the biggest untapped opportunities for Saudi edtech startups? 

I see three big opportunities. The first is assessment and learning analytics. The Kingdom has clear national learning outcomes, and there is huge value in tools that show schools, in real time, where students stand against them. 

The second is scale in the public sector. Private schools have moved fast, but the largest impact will come from solutions that work reliably across government schools, at national scale. 

The third is high-quality AI built for our own context. Global tools are not designed around Saudi curricula, assessments, and classroom realities. Startups that build for this market from the ground up, in both Arabic and English, have a real advantage. 

More broadly, anything that connects learning in school to what comes next, university and the job market, is still underserved. 

 

Looking three years ahead, what would success look like for AILA in terms of users, markets, and impact? 

Today we work with around 100 schools and roughly 65,000 students. In three years, success means having a proven adaptive engine, backed by published research, used by 300,000 students. 

On markets, Saudi Arabia will remain our home and our largest market, and we plan to extend across the GCC and the wider MENA region, supported by the new curricula we are adding. 

But the number that matters most is impact. We want to show, with independent evidence, that students on AILA achieve measurably better learning outcomes, and that schools using AILA make better decisions because of the data we give them. If we can prove that at scale, the growth will follow. 

What Is Deal Sourcing? Proprietary vs. Intermediated Deal Sourcing

Ghada Ismail

 

Finding the right investment opportunity is a crucial step toward achieving strong returns. Before investors evaluate valuations, conduct due diligence, or negotiate terms, they must identify businesses and assets that fit their objectives. This process, known as deal sourcing, plays a central role in private equity, venture capital, and mergers and acquisitions (M&A).

 

What Is Deal Sourcing?

Deal sourcing is the process of identifying and establishing contact with potential investment opportunities. These may include startups seeking funding, established businesses looking for investors, or companies available for acquisition.

Investors use market research, professional networks, referrals, direct outreach, and financial intermediaries to build a pipeline of potential deals. Effective sourcing focuses not only on finding opportunities but also on identifying businesses that match an investor’s sector preferences, budget, risk tolerance, and expected returns.

Two common approaches are proprietary and intermediated deal sourcing.

 

What Is Proprietary Deal Sourcing?

Proprietary deal sourcing involves identifying opportunities through an investor’s own research, relationships, and direct outreach rather than relying primarily on formal intermediaries or widely marketed transactions.

For example, a private equity firm may approach a business owner directly to explore an acquisition before the company is formally put up for sale. Investors can develop such opportunities through industry events, founder networks, referrals, and targeted research.

The main advantage is the potential for less competition, giving investors more time to build relationships and negotiate terms. Early engagement can also help investors understand a business before a formal transaction begins.

However, proprietary sourcing requires considerable time, research, and relationship-building. It does not guarantee exclusivity, lower valuations, or a successful transaction.

 

What Is Intermediated Deal Sourcing?

Intermediated deal sourcing involves accessing investment opportunities through third parties, such as investment banks, M&A advisers, business brokers, and other professional networks.

For example, a company planning to sell may appoint an investment bank to identify potential buyers and coordinate the bidding process. Interested investors receive information about the business and can assess whether it fits their investment strategy.

This approach can provide access to a broader range of opportunities and streamline the initial screening process. However, competitive bidding may push valuations higher, while intermediary fees can increase transaction costs. Investors may also face tighter timelines when evaluating deals.

 

Proprietary vs. Intermediated Deal Sourcing

The key difference lies in how investors access opportunities and the level of competition involved.

Proprietary sourcing emphasizes direct relationships and targeted outreach. It may provide earlier access and less competition but requires sustained effort to build a reliable pipeline.

Intermediated sourcing uses established professional channels to connect investors with potential transactions. It can improve access to available deals and simplify the sourcing process, although competition and fees may be higher.

Neither approach guarantees better investment outcomes. Success ultimately depends on the quality of the opportunity, due diligence, valuation, and negotiated terms.

 

Which Strategy Is Better?

For many investors, combining both approaches offers the greatest flexibility. Proprietary sourcing helps uncover opportunities and establish long-term relationships, while intermediated sourcing provides access to businesses already seeking investment or considering a sale.

The right balance depends on the investor’s objectives, resources, target market, and investment stage. Ultimately, successful deal sourcing is not about finding the most opportunities, but about identifying the right investments and building relationships that lead to sustainable value creation.