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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What Is ‘Asset Turnover Ratio’ and Why It Matters for Startups

Ghada Ismail

 

Most startups don’t fail because they lack ideas. They fail because they misjudge how efficiently they turn what they own into revenue.

In the rush to grow, founders often focus on how fast money is coming in, while paying far less attention to how hard their assets are actually working. Office space sits half-used. Software tools pile up. Teams expand faster than output. On paper, the startup looks like it’s growing. In reality, its engine may be inefficient.

This is where the Asset Turnover Ratio quietly steps in. It doesn’t care about hype, valuation, or future promises. It asks one simple, uncomfortable question: How much revenue are you actually generating from the assets you already have? For startups operating on limited capital and tight runways, the answer can be revealing, and sometimes alarming.

 

What Is Asset Turnover Ratio?

The Asset Turnover Ratio measures how efficiently a business uses its assets to generate revenue. It shows how much revenue is produced for every unit of assets owned by the company.

The formula is simple:

Asset Turnover Ratio = Revenue ÷ Average Total Assets

If a startup generates SAR 2 million in revenue and holds SAR 1 million in total assets, its asset turnover ratio is 2. This means the company generates SAR 2 in revenue for every riyal invested in assets.

In general, a higher ratio indicates stronger operational efficiency, while a lower ratio suggests that assets may not be used to their full potential.

 

Why Asset Turnover Ratio Matters for Startups

Startups rarely have excess resources. Capital is limited, margins are thin, and every investment—whether in people, technology, or infrastructure—needs to prove its value quickly.

The asset turnover ratio helps founders understand whether their business model is genuinely efficient or simply growing heavier over time. It highlights whether assets are actively contributing to revenue or quietly becoming cost centers.

For investors, this metric offers insight into execution quality. A startup that generates strong revenue relative to its asset base signals discipline, thoughtful scaling, and smarter capital allocation, qualities that matter far more than growth alone.

 

Interpreting High and Low Asset Turnover Ratios

A high asset turnover ratio often reflects a lean, well-optimized business. Digital startups, SaaS platforms, and marketplace models typically perform well because they generate revenue without heavy physical infrastructure. High turnover suggests that the startup is maximizing output from minimal resources.

A low asset turnover ratio is not necessarily a red flag on its own. Asset-heavy startups in sectors such as manufacturing, logistics, or hardware development often show lower ratios, especially in early stages. The real concern arises when assets continue to grow while revenue lags behind, signaling inefficiencies or premature expansion.

What matters most is what happens next. Improving turnover over time indicates that the startup is learning how to scale more efficiently.

 

How Startups Can Improve Asset Turnover

Improving asset turnover is not about cutting costs aggressively. It is about making smarter decisions with existing resources.

Startups can focus on increasing revenue before acquiring new assets, delaying major capital expenditures until demand is validated, and outsourcing non-core functions instead of owning everything in-house. Regularly reviewing underperforming assets—whether tools, systems, or physical resources—also helps prevent unnecessary drag on performance.

Ultimately, the goal is not to own fewer assets, but to ensure that every asset actively supports growth.

 

Putting Asset Turnover in Context

No single metric tells the full story. Asset turnover should be viewed alongside profitability, cash flow, and growth indicators. A startup can be efficient but unprofitable, or profitable but inefficient. The real insight comes from understanding how these metrics work together.

For founders, asset turnover serves as a reality check. It keeps ambition grounded in execution and encourages smarter scaling rather than reckless expansion.

 

Wrapping Things Up…

At its core, the asset turnover ratio is not just a financial metric, but rather a discipline check.

It forces founders to ask whether growth is being built on smart execution or on accumulating more resources than the business can justify. High turnover reflects a startup that knows how to extract value before spending more. Low turnover, if ignored, quietly erodes runway long before cash flow problems become obvious.

In a startup landscape where capital is no longer unlimited, the businesses that survive will not be the ones that own the most assets, but the ones that use what they own best.

Alpha and Beta Testing: How Smart Startups Launch Without Guessing

Kholoud Hussein 

 

In the startup world, building a product is only half the battle. The other half is making sure it works in the real world. That’s where alpha and beta testing come in.

For early-stage companies, these testing phases are not technical formalities. They are risk-management tools. They help founders validate assumptions, uncover weaknesses, and refine user experience before a full public launch. Done properly, alpha and beta tests can mean the difference between a controlled rollout and a costly failure.

What Is Alpha Testing?

Alpha testing is the first structured round of product testing. It usually happens after internal development is complete but before the product reaches external users.

At this stage, the product may be functional but not polished. Features might be incomplete. The interface may still need refinement. Bugs are expected.

Alpha testing is typically conducted internally by the startup’s team, along with a small, controlled group of trusted users. These may include employees, close partners, advisors, or early supporters. The goal is to identify major technical flaws and usability issues before exposing the product to a broader audience.

This phase focuses on stability and core functionality. Does the platform crash? Do essential features work as intended? Are there obvious friction points in navigation?

Because the testing environment is controlled, feedback tends to be direct and detailed. Developers can observe user behavior closely, fix bugs quickly, and release multiple iterations in a short period of time.

For startups, alpha testing is about protecting reputation. Launching publicly with obvious technical failures can damage trust early. Alpha testing minimizes that risk.

What Is Beta Testing?

If alpha testing is internal, beta testing is external.

Beta testing involves releasing the product to a limited group of real users outside the company. These users represent the target market more accurately. They are not part of the founding team, and they interact with the product in real-world conditions.

Unlike alpha testing, beta testing examines more than technical performance. It evaluates user experience, product-market fit, and perceived value.

Key questions during beta testing include:

  • Do users understand the product without explanation?
  • Are they willing to pay for it?
  • Which features do they actually use?
  • Where do they drop off?

Beta testing can be closed, meaning access is by invitation only, or open, where anyone can sign up. Early-stage startups often prefer closed beta programs to manage feedback and maintain control.

This phase generates critical data. It reveals whether assumptions about customer behavior were correct. It also surfaces issues that internal teams may overlook, especially around user expectations and workflows.

The Strategic Role of Testing in Startup Growth

For startups operating with limited capital and time, alpha and beta tests are not optional. They are part of a disciplined launch strategy.

Testing reduces uncertainty. Instead of betting everything on a full-scale launch, founders collect evidence first. They identify weak points before marketing budgets are deployed. They adjust pricing models before scaling sales teams.

In lean startup environments, alpha and beta testing align closely with the build-measure-learn cycle. Each testing round provides measurable insight that informs product decisions.

Importantly, testing is not just about fixing problems. It is also about discovering opportunity. Many successful startups refine their value proposition during beta testing. Users may gravitate toward a feature that was initially secondary. Pricing strategies may evolve. Target segments may shift.

This flexibility is critical in early growth stages.

Common Mistakes to Avoid

Despite their importance, alpha and beta tests are often mismanaged.

One common mistake is rushing through testing to meet artificial launch deadlines. Compressed testing phases reduce feedback quality and increase post-launch risk.

Another mistake is ignoring negative feedback. Founders can become attached to product assumptions. Testing only works if feedback drives change.

A third issue is testing with the wrong audience. If beta users do not reflect the intended customer base, insights may be misleading.

From Testing to Launch

Alpha and beta testing are bridges between development and commercialization. They transform a product from a concept into a market-ready solution.

For investors, thorough testing signals discipline. For customers, it improves reliability. For founders, it provides clarity.

In competitive markets, speed matters. But controlled speed matters more. Startups that treat alpha and beta testing as strategic milestones, rather than procedural checkboxes, increase their odds of building products that not only launch successfully, but scale sustainably.

In the end, alpha and beta tests are about learning before scaling. And for startups, learning early is one of the few true competitive advantages.

 

From policies to platforms: How embedded protection reshapes Saudi insurance market

Noha Gad

 

The insurance market in Saudi Arabia is growing rapidly, becoming the largest in the Middle East and North Africa (MENA) region. Propelled by the ambitious Vision 2030, the insurance industry is moving from a traditional, compliance-driven market to a dynamic, technology-enabled ecosystem that is ready for global competition.

During the first half (H1) of 2025, the Saudi insurance sector maintained solid momentum with insurance revenue rising 8.1% to SAR 34.7 billion, assets growing 4.5% to SAR 91.96 billion, and equity expanding 4% to SAR 28.4 billion, as stated in a recent report released by Milliman, the global consulting firm based in Seattle.

Another study conducted by Global Data, the UK-based consultancy firm, anticipated the Saudi insurance industry to see a compound annual growth rate (CAGR) of 5.2% until 2028, reaching SAR 83.7 billion. This rise, the study said, will be fueled by the Kingdom’s shift towards other sectors to reduce dependence on an oil-based economy, along with other factors, including a young, tech-savvy population, trillion-dollar infrastructure and giga-project investments, and a series of forward-thinking regulatory reforms.

Digital transformation serves as the primary catalyst. The adoption of emerging technologies demonstrates the market’s readiness for scaled digital operations. Insurers are leveraging AI-driven underwriting, exploring blockchain for claims processing, and adapting to a landscape in which consumers demand personalized and seamlessly accessible products.

Embedded insurance represents a fundamental shift in how insurance is distributed and consumed. In essence, it is the seamless integration of insurance coverage into the purchase process of another product or service. Instead of a customer having to search for a separate policy from an agent or a dedicated website, protection is offered, or even included, at the exact moment of need, within a digital ecosystem they are already using and trust. This model leverages technology, primarily application programming interfaces (APIs), to connect insurers with non-traditional partners like retailers, telecoms, fintech platforms, and mobility providers. 

It offers a win-win proposition for all parties: customers gain convenient and relevant protection without additional effort; partner companies create new revenue streams and deepen customer loyalty; and insurers access new customer segments and lower their acquisition costs. 

As the Kingdom moves steadily towards Vision 2030 goals, this model of intelligent, integrated, and invisible protection is poised to play a pivotal role in revolutionizing the insurance industry in Saudi Arabia and transforming the sector from a passive financial safety net into an active, embedded part of everyday life.

 

Traditional and embedded insurance 

For traditional insurance models, insurers invest heavily in marketing and sales channels to push their products toward consumers, while customers must expend effort to find, compare, and purchase a policy. However, embedded insurance is seamlessly integrated into the customer journey of purchasing another product or service.

Finding good insurance means filling out long forms, getting medical checks, and waiting a long time. Embedded insurance transforms this by embedding protection into everyday digital flows, creating a frictionless, app-native experience without requiring a separate trip to an insurance site.

Embedded insurance uses partnerships to gain access to up-to-date data. This lets it offer exact, custom coverage that old-school insurance cannot match. 

 

Impacts of emerging technologies on insurance services in Saudi Arabia

The application of emerging technologies has significantly changed how insurance firms work in terms of speed and adequacy of benefit delivery. Key innovations driving this change are:

  • Machine learning (ML). Thanks to their ability to handle massive data, ML innovations can offer quick risk assessment, improved client back, and lower operational costs.
  • Big Data. Insurers utilize Big Data to progress decision-making, offer tailored insurance products, and enhance client experiences.
  • Blockchain technology. It significantly enhances transparency, reduces fraud, and streamlines processes.
  • Internet of Things (IoT) technologies provide real-time data for exact risk evaluation and proactive loss prevention.

Additionally, AI plays a strategic role in reducing uncertainty, improving risk measurement, and enhancing capital deployment. When applied correctly, AI can drive more granular underwriting segmentation, provide real-time portfolio and accumulation monitoring, and enhance smarter reinsurance and capital optimization.

Yasmina AI is the first AI-powered embedded insurance platform in Saudi Arabia, helping insurers eliminate the friction of offering protection. Trusted by over 67 online businesses and insurance companies, Yasmina AI helps clients deliver seamless coverage at the perfect moment to protect their customers.

The platform transforms how insurance is delivered across digital platforms by offering seamless API integration that enables digital businesses to provide personalized insurance at checkout in less than 48 hours.

Embedded insurance shows the visible change in how and where customers get protection, while AI-driven Insurance-as-a-Service(IaaS) is the invisible engine powering it all. Through this platform-based model, insurers can offer their capabilities via APIs to non-insurance brands. This transforms the insurer from a final destination into a behind-the-scenes enabler. IaaS platforms allow insurers to offer coverage to partners on a flexible, pay-per-use or subscription basis, making it ideal for the short-term, activity-specific coverage often demanded in embedded contexts.

In Saudi Arabia, this model is gaining traction, with major players and innovative partnerships demonstrating its real-world application. Rommana is the first IaaS platform in Saudi Arabia to offer comprehensive solutions that equip businesses with all the essential tools they need to effortlessly sell, manage, and renew insurance policies. Rommana’s AI-powered solutions help insurers transform insurance operations by automating claims, reducing costs, and enhancing efficiency. Equipped with a comprehensive full-stack infrastructure, Rommana’s API ensures seamless connections, making the process both cost-effective and durable.

The integration of AI into the Saudi insurance sector is driving a profound dual transformation, making protection more personal, accessible, and proactive, and revolutionizing insurance’s technical core. These two outcomes are two sides of the same coin. Better risk assessment, powered by richer data and more sophisticated analytics, enables the personalization and fairness that customers increasingly demand. By analyzing vast databases, from shopping habits and lifestyle choices to driving behavior and health metrics, AI enables insurers to create highly personalized products that fit an individual's actual risk profile and needs.

In conclusion, the insurance sector in Saudi Arabia is rapidly emerging as a defining force in the global financial landscape, moving decisively beyond the era of friction-laden paperwork and distant, transactional relationships. At the heart of this transformation is the convergence of two powerful forces: embedded insurance and IaaS. Embedded insurance revolutionized the customer journey, pulling protection out of siloed distribution channels and shifting it directly into the digital pathways of daily life transactions, from e-commerce checkouts to mobility applications and fintech platforms. Additionally, IaaS platforms provide the invisible infrastructure that makes this seamless integration possible, while empowering insurers to offer their core capabilities as modular, on-demand services.

The ultimate beneficiary of this technological revolution is the customer. By harnessing richer data and more sophisticated analytics, Saudi insurers can move beyond one-size-fits-all products to create coverage that is dynamically aligned with individual risk profiles and lifestyles.

Leading Digital Change in Egypt: Capgemini’s Approach to AI and Talent Development

Ghada Ismail

 

As artificial intelligence moves from experimentation to enterprise-wide deployment, Egyptian organizations are entering a decisive phase of digital transformation. In this interview, Hossam Seifeldin, Executive Vice President and CEO of Capgemini in Egypt, shares his perspective on how generative and agentic AI are set to reshape operations, competitiveness, and talent development over the next five years.

Drawing on Capgemini’s expanding footprint in Egypt and its role as a global delivery hub, Seifeldin discusses the technologies poised to have the greatest impact, how consulting and technology firms must adapt their business models in an AI-driven economy, and what truly differentiates Capgemini’s approach to digital transformation. He also highlights the company’s growing focus on youth empowerment, skills development, and public-private partnerships as Egypt positions itself as a regional hub for advanced technology and innovation.

 

Generative and agentic AI are reshaping enterprise operations globally. How do you expect these technologies to transform Egyptian organizations over the next five years?

We are entering a new phase where AI is no longer experimental; it is a practical, scalable driver of real business value. Over the next five years, generative and agentic AI will reshape how Egyptian organizations operate, make decisions, and engage with customers.

Globally, companies moving from pilots to full-scale AI deployments are seeing measurable returns, with average ROI of 1.7x and cost reductions of 26–31% across functions like finance, supply chain, HR, and customer operations. AI is now a strategic business asset delivering efficiency and growth simultaneously.

Sectors such as banking, telecom, healthcare, retail, and especially hospitality and tourism — a cornerstone of Egypt’s economy — will benefit significantly. In tourism, AI can enable personalized visitor journeys, immersive experiences, predictive destination management, and sustainable resource planning. Initiatives like our “Hack the Future of Tourism in Egypt… Make it Real!” engage students to create practical AI solutions, from virtual tour guides to smart travel platforms.

Ultimately, AI will help Egyptian organizations compete globally, unlock new services and revenue streams, and foster a culture of continuous innovation, positioning Egypt as a growing hub for AI-driven transformation.

 

How is Capgemini evolving its business model to remain competitive amid accelerated AI adoption across industries?

Capgemini is evolving through a multi-dimensional strategy designed to lead in an AI-driven economy. We are investing heavily in advanced AI, cloud, and data capabilities while strengthening partnerships with global technology leaders and local institutions.

In Egypt specifically, we are establishing a dedicated AI Center of Excellence that brings together elite solution architects, data scientists, and engineers to deliver end-to-end AI solutions to global clients. This reinforces Egypt’s role as a global delivery hub for innovation and advanced technology services.

We are equally focused on talent. Since launching operations in Egypt in 2022, our team has grown from 40 to more than 1,000 professionals, with plans to reach 1,700 by the end of 2026. Through continuous reskilling and programs such as our Young Professionals Program, we are ensuring our workforce can design and implement responsible, scalable AI solutions that deliver measurable value for clients worldwide.

 

What emerging technologies do you see as most transformative for your clients over the coming period of time? How is Capgemini preparing for these shifts?

While generative and agentic AI remain at the forefront, several complementary technologies will be highly transformative for our clients, including advanced analytics, immersive technologies such as AR and VR, edge computing, blockchain, and in the longer term, quantum computing.

Capgemini is preparing by investing in innovation labs, strengthening collaboration with universities and startups, and expanding research and development capabilities. With our proven methodologies and deep industry knowledge, we partner with leaders to turn AI into a competitive advantage and a driver of sustainable growth.

 

In your view, what differentiates Capgemini’s approach to digital transformation from other major consulting and technology services firms?

What truly differentiates Capgemini’s approach to digital transformation is that we see technology not as an end goal, but as a human-centric enabler of sustainable business and societal impact.

We deliver end-to-end transformation — from strategy and design to implementation and scaling — ensuring measurable outcomes and long-term value for our clients. What makes our Egypt operations particularly distinctive is our role as a global delivery gateway: from here, we provide 24/7 services in multiple languages and support clients across diverse sectors, including telecom, retail, pharmaceutical and hospitality.

By combining global expertise with strong local talent and ecosystem partnerships, Egypt has become a strategic hub for Capgemini, enabling us to deliver high-value digital and AI solutions worldwide while developing future-ready capabilities locally.

 

How has the increasing adoption of AI by competitors influenced your strategic priorities?

The rapid adoption of AI across industries has reinforced the importance of speed, innovation, and differentiation. It has accelerated our investments in AI capabilities, talent development, and industry-specific solutions that deliver measurable outcomes.

Rather than viewing competition solely as a challenge, we see it as a catalyst for continuous innovation. It pushes us to refine our offerings, deepen our partnerships, and ensure that our clients are not only adopting AI but leveraging it strategically to lead in their sectors.

Our priority remains clear: to deliver practical, scalable AI solutions that create business value while positioning Egypt as a global hub for digital innovation and advanced technology services.

 

How do you think you can empower youth and young entrepreneurs through your business tech offerings?

Through initiatives like the “Hack the Future of Tourism in Egypt… Make it Real!” hackathon, we are connecting innovation with practical training. Multidisciplinary student teams are developing AI-driven solutions such as virtual tour guides, smart travel platforms, immersive storytelling experiences, and predictive analytics tools that enhance visitor experiences while preserving cultural heritage and sustainability.

The top three teams will join our six-month Young Professionals Program, where they will receive intensive hands-on training, mentorship from global and local experts, and direct exposure to real client projects, with a clear pathway to employment upon completion.

Beyond individual programs, our broader commitment is to build a generation of tech-enabled innovators who can lead Egypt’s digital transformation. By investing in skills, mentorship, and real-world experience, we help young talent move from creative ideas to meaningful careers that support Egypt’s Vision 2030 and its ambition to become a global digital and innovation hub.

This commitment is strengthened through robust public-private partnerships. Most recently, we signed memorandums of understanding with ITIDA and ITI to expand our presence and train 300 young engineers through the ServiceNow program, supporting a national initiative expected to create 70,000 new jobs and further position Egypt as a global hub for technology and outsourcing services.

Through collaborations with government entities, academic institutions, and global technology partners, we are not only creating career pathways for young talent but also strengthening Egypt’s role as a strategic gateway for high-value digital and AI services worldwide.

What Is ‘Dry Powder’ and Why It Shapes Investment Cycles?

Ghada Ismail

 

In finance, few phrases sound as dramatic—and as misunderstood—as “dry powder.” It has nothing to do with explosives or chemistry, yet when markets wobble and funding dries up, it suddenly becomes the most powerful thing in any context.

Dry powder is the cash everyone wishes they had when conditions turn tough. It doesn’t chase hype or panic in downturns. It waits—quietly and strategically—until the right moment arrives.

As startups learn to survive longer, investors favor discipline over speed, and economies navigate uncertainty, dry powder has moved from a niche term to a core strategy. It shapes who can act decisively, who can negotiate from strength, and who is forced to react.

At its simplest, dry powder means cash or highly liquid capital that is ready to be deployed. In reality, it represents control. For investors, startups, and the broader economy, dry powder is what separates those who endure market cycles from those who define what comes next.

 

Dry Powder from an Investor’s Perspective

For investors—particularly in venture capital, private equity, and institutional funds—dry powder refers to capital that has been raised but not yet invested. Funds typically collect commitments from their investors and deploy that money gradually over several years, rather than all at once.

Holding dry powder gives investors flexibility. In overheated markets, disciplined funds may slow their pace and avoid inflated valuations. When markets cool, that same unspent capital becomes a competitive advantage. Investors can move quickly, negotiate better terms, support existing portfolio companies, or back strong businesses that suddenly look undervalued.

This is why periods of uncertainty often coincide with reports of record levels of dry powder. It is not a sign of indecision, but of patience. Investors with capital ready to deploy often end up shaping the next growth cycle.

 

What Dry Powder Means for Startups

For startups, dry powder usually means cash reserves in the bank. It is the runway that buys time, reduces pressure, and keeps founders in control of their decisions.

Startups with sufficient dry powder can slow hiring, refine their product, or adjust strategy without being forced into emergency fundraising. They are less likely to accept unfavorable terms or dilute too early. In contrast, startups running low on cash often make rushed decisions driven by survival rather than long-term value.

Dry powder also changes how startups are perceived. A company with healthy reserves signals stability and confidence to investors, customers, and partners. It suggests the business is choosing capital—not desperately chasing it—often resulting in better negotiations and stronger relationships.

 

Dry Powder and Market Cycles

Dry powder plays a central role in how markets move through cycles. During boom periods, capital flows freely and aggressively, reducing the amount of unspent cash. Valuations rise, competition intensifies, and speed often outweighs discipline.

When markets correct, investment activity slows, and dry powder accumulates. While this phase can feel stagnant, it often sets the stage for the next wave of growth. Once confidence returns, that stored capital is deployed into new companies, technologies, and acquisitions, often more selectively and sustainably than before.

In this way, dry powder acts as both a buffer and a reset button, preventing capital from being exhausted at the peak of hype and ensuring resources remain available when opportunity reappears.

 

The Economic Impact of Dry Powder

At the macro level, dry powder influences investment, innovation, and job creation. Large pools of deployable capital—held by institutional investors, sovereign funds, and corporations—can stabilize markets during downturns and accelerate recovery during upswings.

For innovation-driven economies, dry powder is especially important. It allows funding to continue flowing into startups, infrastructure, and strategic sectors even when global conditions tighten. Economies with active investors and available capital are better positioned to maintain momentum through volatility.

 

Common Misconceptions

Dry powder is often mistaken for idle money. In reality, it is intentional restraint. Choosing when not to invest can be just as strategic as choosing when to invest. At the same time, holding too much dry powder for too long can create pressure to deploy capital quickly, sometimes at the wrong moment.

The key is balance: aligning deployable capital with clear strategy, realistic timelines, and market conditions.

 

Why Dry Powder Matters More Than Ever

In today’s environment of economic uncertainty, higher interest rates, and rapid technological change, dry powder has taken on renewed importance. Investors are more selective, startups are more cautious, and economies are prioritizing sustainable growth over speed at any cost.

Ultimately, dry powder is not about waiting on the sidelines. It is about being ready to invest, to grow, and to lead when opportunity returns.