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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Hostile takeover: unwanted acquisition, corporate defense, and real-world consequences

Noha Gad

 

Companies in the world of business grow through careful planning and friendly agreements. Leaders talk about partnership, shared goals, and future success. Yet there exists a more aggressive path to growth, where such collaboration is not welcome, and the fight for control is direct and fierce. This path is defined by a direct and forceful attempt to seize control against the clear wishes of the existing leadership.

This action is known as a hostile takeover. It happens when a company tries to buy another company against the wishes of its leaders, unlike friendly takeovers, where both companies agree. The buyer ignores the management and appeals directly to the company's owners and shareholders. It is a high-stakes contest that can change companies, industries, and careers.

 

What is a hostile takeover?

A hostile takeover happens when an entity takes control of a company against the wishes of the company's management. The company being acquired in a hostile takeover is called the target company, while the one executing the takeover is called the acquirer. 

This strategy requires the entity to acquire and control more than 50% of the company’s voting shares, allowing the new majority shareholders to control the acquired business. Key parties of a hostile takeover are: the buyer, the company or group that wants control; the target company, the firm being bought, whose leaders resist with plans and lawsuits; the shareholders; the owners who hold shares; and the regulators, government bodies that check for fair play and market rules.

 

How does it work?

A hostile takeover follows set steps in which the buyer acts with care and speed. These steps are:

       * Selecting and reviewing the target. The buyer chooses a company, then checks the share price, debt, and profits. The worth of the target company must be more than its market value.

       * Buying shares. The buyer starts with small purchases, using brokers to stay hidden.

       * Making a public offer. In this step, the buyer goes public, files with the regulations, and offers cash for shares.

       * Raising funds. The buyer can raise money through multiple options, including its own cash reserves, issuing new shares, securing loans, or partnering with banks and investors.

       * Proxy fight (if needed). If the offer does not succeed, the buyer launches a proxy fight by seeking shareholder votes to elect new board members, which allows changes to company rules that favor the takeover.

       * Securing approvals. In this step, regulators review and approve the deal to ensure compliance with antitrust laws and market protections.

       * Taking control. By securing over 50% of shares, the buyer can assume control, appoint new leadership, and complete the acquisition.

 

Defense strategies against hostile takeovers

Companies can follow different strategies to prevent unwanted hostile takeovers. These strategies are:

       -Differential Voting Rights (DVRs). Through this strategy, the company can establish stock with differential voting rights (DVRs), where some shares carry greater voting power than others. This makes it more difficult to generate the votes needed for a hostile takeover if management owns a large portion of shares.

       -Employee Stock Ownership Program (ESOP). The ESOP involves using a tax-qualified plan in which employees own a substantial interest in the company. Employees can be more likely to vote with management.

       -Crown Jewel. In this defense strategy, a provision of the company’s bylaws requires the sale of the most valuable assets if there is a hostile takeover, thereby making it less attractive as a takeover opportunity.

       - Poison Pill (officially known as a shareholder rights plan). This tactic allows existing shareholders to buy newly-issued stock at a discount if one shareholder has bought more than a stipulated percentage of the stock, resulting in a dilution of the ownership interest of the acquiring company. There are two types of poison pill defenses: the flip-in and flip-over. A flip-in allows existing shareholders to buy new stock at a discount if someone accumulates a specified number of shares of the target company, while the flip-over strategy allows the target company's shareholders to purchase the acquiring company's stock at a deeply discounted price if the takeover goes through.

 

Hostile takeovers produce both positive effects and serious issues for companies, shareholders, and markets, often sparking debate about their overall value. They unlock higher value for shareholders by offering premiums on shares that reflect the company's true worth, while driving better operations through new leadership that cuts waste and boosts efficiency in areas like fintech innovation. On the other side, they carry risks such as job losses when the buyer reduces staff to lower costs and a focus on short-term gains that ignores long-term growth plans. Some view hostile takeovers as healthy competition that rewards strong owners, whereas others see them as predatory actions that harm workers and stable businesses.

Finally, the path of the hostile takeover presents a different and more confrontational alternative. This process, defined by the direct acquisition of a target company against the expressed wishes of its leadership, unfolds as a high-stakes contest for control, fundamentally reshaping organizations and markets. These takeovers can serve as a powerful instrument of market discipline; however, they carry significant negative consequences.

Ultimately, hostile takeovers embody the tension between the aggressive pursuit of opportunity and the principles of corporate autonomy and strategic continuity. While it can act as a catalyst for positive change and value creation, it also represents a potentially disruptive and predatory force.

Why So Many Startups Die Young and How to Survive the Death Valley Curve

Kholoud Hussein 

 

In the world of startups, few concepts are as feared or as misunderstood as the “Death Valley Curve.” The term sounds dramatic, but it describes a very real and common phase in a young company’s life. Many promising startups do not fail because their ideas are bad. They fail because they cannot survive this critical stretch between early promise and sustainable growth.

The Death Valley Curve refers to the period when a startup’s expenses consistently exceed its revenues, often for longer than expected. On a financial graph, cash flow dips deep into negative territory before it has a chance to recover. If the company runs out of cash before reaching profitability or securing new funding, the journey ends there.

This phase usually appears after initial product development and early market entry. Founders may have validated an idea, built a minimum viable product, and even signed their first customers. But revenues remain modest, while costs rise sharply. Salaries, marketing spend, infrastructure, compliance, and customer acquisition all add pressure. At the same time, investor enthusiasm may cool if growth is slower than projected.

The danger of the Death Valley Curve lies in its timing. Startups often enter it with confidence, assuming revenue growth will accelerate quickly. In reality, sales cycles are longer, customer acquisition costs are higher, and operational complexity increases faster than planned. The result is a widening gap between cash coming in and cash going out.

Avoiding the Death Valley Curve entirely is rare. Managing it successfully is the real goal.

One of the most effective ways startups can reduce risk is by maintaining disciplined cash management from day one. This means knowing exactly how long the company’s runway is and regularly updating that forecast. Founders should be able to answer a simple question at any time: how many months can we operate if no new revenue or funding arrives? Startups that track this closely can make early adjustments rather than react in crisis mode.

Another critical strategy is pacing growth deliberately. Many startups fail not because they grow too slowly, but because they grow too fast. Hiring aggressively, expanding into multiple markets, or building features before demand is proven can push costs higher without increasing revenue. Smart startups focus on the few activities that directly support customer acquisition and retention, and delay everything else.

Customer validation also plays a central role in surviving this phase. Startups that listen closely to users and adapt quickly are more likely to reach product-market fit before cash runs out. This often means saying no to custom requests that do not scale, refining pricing models early, and ensuring the product solves a real, recurring problem. Revenue quality matters as much as revenue volume.

Access to capital is another factor, but it should not be the only safety net. Relying on future funding rounds without demonstrating progress is risky, especially during tighter market conditions. Investors increasingly look for evidence of traction, efficient use of capital, and a clear path to sustainability. Startups that can show improving unit economics are in a much stronger position to raise funds in the Valley.

Finally, leadership mindset matters. Founders who acknowledge the Death Valley Curve as a normal phase are better prepared to handle it. This includes transparent communication with teams, realistic goal setting, and the willingness to make hard decisions early. Cutting costs or pivoting strategy is far easier when done proactively rather than under pressure.

The Death Valley Curve is not a sign of failure. It is a test. Startups that survive it do so by combining financial discipline, focused execution, and constant learning. Those that emerge on the other side are often stronger, more resilient, and better equipped for long-term success.

 

How AI Is Reshaping Saudi Arabia’s Mining Sector

Ghada Ismail

 

Mining is no longer a background industry in Saudi Arabia’s economic story. As the Kingdom works to reduce its dependence on oil, mining has moved to the forefront of its diversification agenda. Under Vision 2030, the sector is being positioned as the third pillar of Saudi Arabia’s industrial economy, standing alongside oil and petrochemicals. According to the Ministry of Industry and Mineral Resources, the Kingdom’s untapped mineral wealth is valued at more than SAR 9.3 trillion, including gold, copper, phosphate, bauxite, rare earth elements, and other critical minerals that are increasingly essential to the global energy transition and advanced manufacturing.

 

This push comes at a moment when global demand for minerals is accelerating, driven by renewable energy technologies, electric vehicles, and the digital infrastructure powering modern economies. Saudi Arabia sees an opportunity to establish itself as a major global mining hub. But turning geological potential into long-term value is not straightforward. Mining in harsh desert environments, often far from major population centers, is capital-intensive and operationally complex. Staying competitive requires smarter, safer, and more sustainable ways of working.

 

This is where artificial intelligence is beginning to change the game.

Across the mining value chain, AI is emerging as a powerful enabler, spanning early-stage exploration to daily operations, safety management, and environmental monitoring. By embedding AI into mining processes, Saudi companies are improving productivity, cutting costs, and making faster, better-informed decisions. At the same time, this shift is opening the door to a broader innovation ecosystem, drawing in startups, research institutions, and technology providers eager to help shape the future of mining in the Kingdom.

 

AI in Exploration and Operations

Mineral exploration has always been a high-risk, high-cost endeavor. Traditional methods rely on years of geological surveys, drilling campaigns, and lab analysis, often with no guarantee of a viable discovery. AI is helping tilt the odds.

Machine learning models can now process vast volumes of data—satellite images, geophysical surveys, and decades of historical records—to identify patterns that would be nearly impossible for humans to detect. These systems can flag promising areas for exploration with greater accuracy, allowing companies to focus their investments where the likelihood of success is highest and avoid unnecessary drilling.

 

Saudi Arabian Mining Company (Ma’aden), the Kingdom’s flagship mining firm, has been actively exploring AI-driven tools to enhance exploration and resource modeling. By integrating advanced analytics into its workflows, Ma’aden has improved its ability to assess ore quality, estimate reserves, and shorten exploration timelines, making investment decisions more efficient and data-driven.

Once a mine is operational, AI continues to deliver value. Autonomous equipment and robotics are increasingly taking on tasks that were once labor-intensive and dangerous. Self-driving haul trucks, AI-assisted drilling systems, and automated processing plants are enabling more consistent, around-the-clock operations with reduced human exposure to risk.

Downtime is another costly challenge in mining. AI-powered predictive maintenance systems help address this by continuously monitoring equipment performance through sensors and real-time data feeds. Instead of reacting to breakdowns after they happen, operators can anticipate failures, schedule maintenance in advance, and extend the life of critical machinery. The result is lower operating costs and more reliable production.

 

Back in 2023, a notable initiative in this context is Ma’aden’s partnership with OffWorld, which develops AI-driven swarm robotic systems for autonomous mining tasks. These robots can perform repetitive or hazardous operations with minimal human intervention, enhancing safety and operational precision while enabling fully automated mining workflows in the Kingdom.

AI is also transforming ore processing and refining. Intelligent systems can adjust processing parameters on the fly based on the composition of incoming ore, improving recovery rates while reducing waste. For Saudi Arabia, where maximizing the value of each extracted resource is central to long-term sustainability, these efficiencies are particularly important.

 

AI in Safety and Sustainability

Mining will always carry inherent risks, but AI is helping make worksites safer and more controlled. Advanced monitoring systems now allow operators to oversee conditions across vast and often remote mining sites in real time.

AI-powered cameras, drones, and computer vision tools can detect structural weaknesses, monitor equipment behavior, and flag unsafe practices before they escalate into serious incidents. Video analytics, for example, can identify whether workers are complying with safety protocols, helping reduce accidents without relying solely on manual supervision.

Automation also plays a role in safety. Remote-controlled and autonomous machinery reduces the need for workers to operate in high-risk environments such as deep underground tunnels or extreme heat zones. This not only lowers accident rates but also improves precision and operational consistency.

Environmental sustainability is another area where AI is making a tangible impact. Mining can place heavy demands on water, energy, and land resources, especially in arid regions like Saudi Arabia. AI-driven systems help companies monitor and manage these impacts more effectively.

Water optimization tools analyze usage patterns in processing plants and recommend ways to reduce consumption without compromising output. Energy management systems adjust power usage in response to operational needs, cutting waste and lowering emissions. Satellite imagery and drone-based monitoring enable companies to track land rehabilitation efforts, detect pollution risks early, and ensure compliance with environmental regulations.

These capabilities align closely with Saudi Arabia’s broader sustainability ambitions and its goal of setting higher standards for responsible mining.

 

Industry Ecosystem and Opportunities

The rise of AI in Saudi mining is not just benefiting large corporations. It is also creating space for startups, technology firms, and research institutions to play a meaningful role.

Lithium Infinity (Lihytech), for example, a Saudi mining tech company, is developing advanced lithium extraction solutions, targeting minerals essential for batteries and the global energy transition. While AI is not yet native to their operations, these technologies are highly compatible with AI-driven optimization and automation.

Incubated by King Abdullah University of Science and Technology (KAUST), Lihytech represents a growing ecosystem where innovation meets industrial needs. With government programs supporting AI adoption and workforce development, startups like Lihytech have a chance to bridge technology gaps and accelerate the Kingdom’s journey toward smart mining.

Opportunities are emerging in areas such as geological data analytics, drone-based surveying, autonomous systems, and digital twins—virtual replicas of mining operations that allow companies to simulate scenarios, test improvements, and optimize workflows without disrupting live operations.

 

Challenges Are Still Ahead

At the same time, where the field is rich in opportunities, challenges remain. One of the biggest is data fragmentation, with geological and operational information often spread across disconnected systems. Startups specializing in data integration and AI compatibility could play a key role in bridging these gaps.

Workforce readiness is another hurdle. As mining becomes more data-driven, demand is growing for skills in AI, automation, and digital systems. Training platforms, simulation tools, and AI-enabled upskilling solutions will be essential to preparing the next generation of mining professionals.

Government support is helping accelerate this transition. The Ministry of Industry and Mineral Resources has been actively promoting digital transformation across the sector, while programs under Vision 2030 aim to localize mining technologies and encourage collaboration between miners and tech providers. Initiatives such as the Saudi Geological Survey’s National Geological Database are improving access to critical mining and geological data, enabling researchers, investors, and industry players to make more informed decisions. The National Industrial Development and Logistics Program (NIDLP) is supporting the sector by fostering innovation, local technology adoption, and integration across industrial value chains. Meanwhile, the Kingdom’s National Strategy for Data and AI, led by SDAIA, provides a strong framework for adopting AI technologies across industrial sectors, including mining, helping drive digital transformation and long-term competitiveness under Vision 2030.

 

Recent Industry Milestone
The sector’s momentum was highlighted at the fifth Future Minerals Forum, held in Riyadh in January 2026, which drew over 21,500 participants from governments, investors, and technical experts worldwide. The forum, themed “Dawn of a Global Cause,” showcased Saudi Arabia’s growing role as a hub for responsible mineral development and innovation. Over the course of the event, participants signed 132 agreements and memoranda of understanding worth approximately USD 26.6 billion, covering exploration, financing, R&D, innovation, and sustainability initiatives. Key recommendations emphasized accelerating the adoption of advanced technologies, strengthening regulatory frameworks, expanding investment incentives, and fostering global collaboration to secure resilient and sustainable mineral supply chains. The forum’s outcomes underline the Kingdom’s commitment to both technological innovation and long-term sustainability in mining.

 

Conclusion

Artificial intelligence is rapidly reshaping Saudi Arabia’s mining sector, changing how minerals are discovered, extracted, and processed. By improving exploration accuracy, streamlining operations, enhancing safety, and strengthening environmental stewardship, AI is helping the industry overcome long-standing challenges.

Beyond operational gains, AI is also catalyzing a broader innovation ecosystem, creating new opportunities for startups, technology providers, and research institutions to contribute to the Kingdom’s mining ambitions. Backed by government support and growing private sector investment, Saudi Arabia is steadily building a smarter, more resilient mining industry.

As global competition for critical minerals intensifies, the Kingdom’s AI-driven approach offers a compelling model for sustainable and technology-led resource development. By combining vast mineral resources with advanced digital capabilities, Saudi Arabia is not just diversifying its economy but also redefining what modern mining can look like in the decades ahead.

Will agentic commerce define Saudi Arabia's next economic leap?

Noha Gad

 

Commerce worldwide is entering a new era where artificial intelligence (AI) agents not only assist but also act. Agentic commerce represents a fundamental shift from manual clicks to autonomous, goal-driven systems that can reason, plan, and transact on behalf of users. Unlike traditional automation, AI agents operate through a complete cognitive cycle: possessing goals, memory, and specific instructions, offering enormous potential for companies to transform their operations as never before. Agentic AI represents a sophisticated framework with tools and protocols that enable intelligent systems to interact seamlessly with other systems, agents, and humans. 

In Saudi Arabia, the e-commerce sector is booming. According to recent figures by the Saudi Central Bank (SAMA), online spending via Mada cards surged to SAR 90.9 billion in the fourth quarter (Q4) of 2025. This growth is driven by a young, tech- savvy population and extensive Internet access. In recent years, the retail experience has been transformed by the move from cash to digital payments. The emergence of agentic commerce in Saudi Arabia will bring an era of hyper-personalized, automated shopping experience, where AI agents can anticipate needs, show the best choices, restock essentials, and manage purchases in real time.

“Agentic commerce could be highly rewarding for retailers ready to seize its opportunities and efficiencies. Merchants that act now will put themselves in a strong position to prosper,” said Rob Cameron, Global Head of Visa Acceptance Solutions. In his recent article, Cameron highlighted the Kingdom’s efforts to embrace new shopping ways. In 2024, non-cash retail transactions in the Kingdom reached 79%, surpassing Vision 2030’s target of 70%. He emphasized that Saudi residents are likely adopt agentic commerce with the same enthusiasm, highlighting that the challenge for merchants will not just be to deliver the goods, but to do so in ways that keep both human and silicon shoppers coming back.

 

How it works

Saudi Arabia views agentic AI as a booster for the national economy, as SDAIA’s ALLaM model and HUMAIN localizing tech for different industries, notably e-commerce. Agentic commerce in the Kingdom centers on AI agents autonomously managing shopping, payments, and supply chains, triggered by Vision 2030's digital economy goals and high non-cash transaction rates. AI agents execute full shopping journeys, from need anticipation and deal negotiation to payments, shifting from shopper-led to agent-led processes with human oversight at key points such as approvals. For merchants, those agents enable hyper-personalization, restocking, fraud detection, and back-office tasks, such as invoicing, ultimately bolstering customer engagement via chatbots and recommendations. 

Saudi Arabia is an ideal proving ground for agent-driven cross-border commerce, thanks to a combination of national payment strategies, digital infrastructure readiness, and regulatory ambition, represented in fintech sandboxes. 

Unlike traditional e-commerce, where shoppers manually execute every step, agentic commerce transforms the shopping process into agent-led execution, where AI agents handle tasks autonomously on the user's behalf, according to predefined instructions, only waiting for human approvals on final steps like payment or substitutions. Additionally, agentic systems elevate AI to proactive autonomy, using shopper constraints to add items to carts, negotiate deals, or resolve issues, such as out-of-stock swaps, adapting in real-time via APIs. 

 

Agentic commerce could be highly rewarding for Saudi retailers across several key areas:

  • Double revenue and conversion growth. AI agents can boost cart conversions and reduce cancellations through proactive interventions like real-time guidance and deal negotiations.
  • Enhance operational efficiency. By automating inventory management, dynamic pricing, and catalog updates, AI agents minimize manual effort and enable real-time decisions, ultimately cutting inventory costs.
  • Improve customer experience. Hyper-personalization at scale fosters loyalty by anticipating needs, guiding multi-channel journeys, and handling post-purchase support, shortening decision cycles.
  • Prevent fraud and reduce risks. Real-time fraud detection via agent verification and cryptographic checks secures payments, while backend agents manage settlements.

 

Challenges and Concerns

The path to implementing agentic commerce in Saudi Arabia presents distinct challenges that must be carefully addressed for successful adoption:

  • Regulatory and compliance hurdles. Retailers face challenges in encoding SAMA and Zakat, Tax and Customs Authority (ZATCA) regulations into AI agents to ensure autonomous transactions comply with local payment rules, such as Mada authentication, without human intervention. Data sovereignty demands under SDAIA guidelines require agents to process Arabic data locally, complicating cross-border remittances flow; thus, merchants must adapt application programming interface (APIs) for agentic access, as traditional sites risk invisibility to AI shoppers scanning for real-time pricing and stock.
  • Technical integration and adoption barriers. Legacy systems hinder agent integration, with many Saudi small and medium-sized enterprises (SMEs) lacking open APIs for dynamic pricing or inventory. Additionally, reskilling the human workforce could be a major challenge for merchants transitioning from manual e-commerce to overseeing autonomous systems. 
  • Consumer trust. Successful adoption of agentic commerce in Saudi Arabia hinges on overcoming key barriers to consumer trust, which stem from privacy risks, accountability gaps, and a lack of transparency. These issues require specific, proactive mitigations.
  • Privacy concerns. Autonomous agents require extensive user data, raising fears about compliance with the SDAIA's Personal Data Protection Law and general data security.
  • Accountability gaps. Errors in agent-led transactions create ambiguity over liability, demanding updates to frameworks to address non-human actors.
  • Transparency and bias. A lack of clarity in AI decisions, coupled with risks of cultural bias in Arabic-language models, fails to meet the expectations of mobile-savvy Saudi consumers accustomed to manual control.

 

The question is not whether agentic commerce will arrive in Saudi Arabia, but whether it will become the defining force of the Kingdom's next economic chapter. The foundations are certainly strong: a booming digital payments infrastructure, a strategic national vision actively promoting technological adoption, and a young, mobile-first population eager for innovation. The potential rewards for Saudi retailers are transformative, enabling doubled conversion rates, streamlined operations, and an unprecedented hyper-personalized customer experience that builds lasting loyalty. 

The future of agentic commerce in Saudi Arabia hinges on navigating critical challenges: regulatory integration, technical interoperability, and, above all, building robust consumer trust.

Ultimately, the trajectory of agentic commerce in the Kingdom will be decided by a strategic collaboration between retailers, regulators, and technologists to build an agentic future that is not only efficient and profitable but also secure, trustworthy, and authentically aligned with Saudi consumer values. 

One Early Yes Can Change Everything: The Anchor Investor Effect

Ghada Ismail

 

In startup fundraising, cash is important, but momentum is everything. That’s why the first serious “yes” in a funding round tends to carry a significant weight. This is the investor everyone talks about, references in meetings, and quietly relies on to unlock the rest of the round. That investor is known as the ‘Anchor’.

An anchor investor is usually the first major backer to commit money to a round. But their role goes far beyond the size of their check. By stepping in early, they help shape how the round is perceived, how fast it moves, and how confident other investors feel jumping in. In many cases, their commitment is the moment a fundraising round shifts from theoretical to real.

 

What an Anchor Investor Actually Does

It’s easy to assume the anchor investor is simply whoever wires money first. In reality, they often play a much more active role. Anchors frequently help set expectations around valuation, influence how the round is structured, and sometimes even guide early governance decisions.

Once a credible anchor is on board, conversations with other investors tend to change overnight. Instead of asking whether the startup is worth backing, they start asking how much room is left in the round—and how quickly they need to move.

 

Why Anchor Investors Matter to Startups

Fundraising isn’t just about numbers on a spreadsheet. It’s about confidence. For early-stage startups, an anchor investor provides validation at a time when there may not yet be enough data, revenue, or scale to speak for itself.

That early vote of confidence can shorten fundraising cycles, reduce back-and-forth, and give founders more leverage at the table. Just as importantly, it saves time, allowing founders to focus on building rather than endlessly pitching.

And the value doesn’t stop at capital. Strong anchor investors often help founders sharpen their story, challenge assumptions, and make key introductions. Over time, many become trusted partners rather than distant names on a cap table.

 

What Anchor Investors Look For

Because anchor investors move first, they also take on more risk. That’s why they tend to be selective. At early stages, they’re often betting less on perfect metrics and more on the people behind the company. A capable founding team, a real problem worth solving, early signs of traction, and a believable growth story usually matter more than polished dashboards.

Equally important is alignment. Anchor investors want to believe in where the company is headed and feel comfortable backing that vision, not just now, but over multiple rounds.

 

Is an Anchor Investor Always Necessary?

Not every startup needs an anchor investor to raise capital. Some early rounds come together through angels, friends of the founders, or small checks that add up organically. But as rounds get bigger—particularly at Seed and Series A—having an anchor becomes increasingly helpful.

For founders, the key lesson is simple: an anchor investor isn’t about prestige or name-dropping. It’s about trust. The right anchor doesn’t just help you close a round, but helps create the momentum that carries your startup forward.