Regulatory Challenges and Opportunities: Governing AI in Financial Services

Dec 15, 2024

Kholoud Hussein 

 

As artificial intelligence (AI) continues to revolutionize financial services worldwide, Saudi Arabia is at the forefront of integrating this transformative technology into its financial ecosystem. AI’s potential to optimize operations, enhance customer experiences, and bolster risk management has been widely recognized. However, its rapid adoption presents unique regulatory challenges that must be carefully addressed to ensure ethical, secure, and compliant implementation.

 

Saudi regulators, particularly the Saudi Arabian Monetary Authority (SAMA) and the Capital Market Authority (CMA), are tasked with striking a delicate balance: fostering innovation while safeguarding data privacy, ethical standards, and regulatory compliance. This blog explores the regulatory landscape governing AI in Saudi Arabia’s financial sector, the opportunities it presents, and recommendations for fostering a secure and innovation-friendly environment.

 

1. SAMA and CMA: Pioneering AI Regulation in Financial Services

Saudi Arabia’s financial regulators play a pivotal role in creating an environment where AI can thrive responsibly.

SAMA’s Role in AI Adoption

SAMA has actively encouraged digital transformation across the banking and financial sectors, promoting AI adoption through regulatory frameworks prioritizing innovation and security.

  • SAMA’s Fintech Saudi Initiative supports startups in integrating AI into financial services, enabling advancements in digital payments, lending, and fraud detection.
  • The authority has also issued guidelines to ensure AI applications in banking adhere to cybersecurity standards and data protection laws.

CMA’s Oversight in the Capital Markets

The CMA focuses on AI’s integration within Saudi Arabia’s capital markets, emphasizing transparency, accountability, and investor protection.

  • It oversees AI’s use in algorithmic trading, risk assessment, and portfolio management, ensuring compliance with market integrity standards.
  • CMA’s initiatives aim to protect retail and institutional investors while enabling AI-driven innovations to flourish.

By fostering a supportive yet vigilant regulatory environment, SAMA and CMA are laying the groundwork for sustainable AI integration in financial services.

 

2. Balancing Innovation with Data Privacy, Ethical AI, and Regulatory Compliance

The adoption of AI in financial services presents significant opportunities, but it also raises critical concerns about data privacy, ethical use, and compliance.

Data Privacy Challenges

AI systems rely on vast amounts of data, raising questions about how customer information is collected, stored, and processed.

  • Saudi Arabia’s Personal Data Protection Law (PDPL) outlines stringent requirements for data privacy, ensuring that financial institutions prioritize transparency and customer consent.
  • Compliance with these regulations is vital for maintaining trust in AI-powered financial services.

Ethical AI Concerns

Ensuring that AI systems operate without bias or unethical outcomes is a growing challenge.

  • Regulators are advocating for AI models that are explainable, auditable, and free from discrimination.
  • Financial institutions must adopt frameworks that assess AI’s ethical impact and mitigate unintended consequences, such as biased credit scoring or investment recommendations.

Navigating Regulatory Compliance

Financial institutions must align their AI initiatives with existing and emerging regulations, which can be complex and resource-intensive.

  • Proactive engagement with regulators and participation in sandbox programs, like those offered by SAMA, can help institutions test AI applications within a controlled, compliant environment.

Balancing these priorities is essential to creating an AI-driven financial ecosystem that is both innovative and trustworthy.

 

3. The Role of the NSDAI in Shaping AI Regulation

Saudi Arabia’s National Strategy for Data and AI (NSDAI) provides a comprehensive framework for AI governance, setting the tone for responsible AI adoption in the financial sector.

NSDAI’s Core Objectives

  • Positioning Saudi Arabia as a Global AI Leader: The NSDAI aims to place the Kingdom among the top nations in AI readiness and application.
  • Encouraging Collaboration: By fostering partnerships between the public and private sectors, the NSDAI promotes the development of AI solutions tailored to local needs.
  • Establishing Ethical Guidelines: The strategy prioritizes ethical AI principles, ensuring fairness, transparency, and accountability in AI applications.

Impact on the Financial Sector

Under the NSDAI, financial institutions are encouraged to adopt AI while adhering to best practices in governance, risk management, and data security. This approach creates a strong foundation for innovation while mitigating potential risks.

 

4. Recommendations for Fostering a Safe and Innovative AI Ecosystem

To fully harness AI’s potential in financial services, Saudi Arabia must address key regulatory and operational challenges. Below are recommendations for fostering a secure and dynamic AI ecosystem:

1. Enhance Regulatory Collaboration

  • Establish a regular dialogue between financial institutions, tech companies, and regulators to address emerging AI trends and challenges.
  • Expand regulatory sandbox initiatives to test innovative AI solutions in a controlled, compliant environment.

2. Invest in Education and Workforce Development

  • Promote AI literacy and upskill financial professionals to work alongside AI technologies.
  • Collaborate with academic institutions to develop AI-focused programs that prepare the next generation of financial professionals.

3. Strengthen Ethical Oversight

  • Implement clear guidelines for ethical AI, including requirements for explainability, transparency, and bias prevention.
  • Create an independent body to audit AI systems and ensure compliance with ethical and regulatory standards.

4. Encourage Data Sharing with Security

  • Develop frameworks for secure and anonymized data sharing to enhance AI models without compromising customer privacy.
  • Incentivize data collaboration among financial institutions to improve fraud detection and risk assessment.

5. Leverage Emerging Technologies

  • Integrate AI with blockchain to enhance transparency and security in financial transactions.
  • Utilize predictive analytics for proactive fraud prevention and risk management.

By addressing these areas, Saudi Arabia can build a financial ecosystem that is not only innovative but also secure and aligned with global best practices.

 

Looking Ahead: AI in Fintech

As AI reshapes traditional financial services, its role in fintech is even more pronounced. In our next blog, we will explore how AI is driving financial inclusion and innovation in Saudi Arabia’s burgeoning fintech sector. From expanding access to underserved populations to enabling cutting-edge payment solutions, AI is unlocking new opportunities for growth and empowerment.

 

Finally, Saudi Arabia’s financial sector stands at the crossroads of innovation and regulation, with AI serving as a transformative force. By aligning regulatory frameworks with ethical principles and fostering collaboration, the Kingdom is creating a resilient, forward-thinking financial ecosystem.

 

As we move forward in this series, we will delve into AI’s role in fintech, examining how it is breaking barriers, enhancing inclusion, and driving the next wave of innovation in Saudi Arabia’s financial landscape.

 

Stay tuned for this exciting discussion in the next installment of our AI in Financial Services series.

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Regulatory Challenges and Opportunities: Governing AI in Financial Services

Kholoud Hussein 

 

As artificial intelligence (AI) continues to revolutionize financial services worldwide, Saudi Arabia is at the forefront of integrating this transformative technology into its financial ecosystem. AI’s potential to optimize operations, enhance customer experiences, and bolster risk management has been widely recognized. However, its rapid adoption presents unique regulatory challenges that must be carefully addressed to ensure ethical, secure, and compliant implementation.

 

Saudi regulators, particularly the Saudi Arabian Monetary Authority (SAMA) and the Capital Market Authority (CMA), are tasked with striking a delicate balance: fostering innovation while safeguarding data privacy, ethical standards, and regulatory compliance. This blog explores the regulatory landscape governing AI in Saudi Arabia’s financial sector, the opportunities it presents, and recommendations for fostering a secure and innovation-friendly environment.

 

1. SAMA and CMA: Pioneering AI Regulation in Financial Services

Saudi Arabia’s financial regulators play a pivotal role in creating an environment where AI can thrive responsibly.

SAMA’s Role in AI Adoption

SAMA has actively encouraged digital transformation across the banking and financial sectors, promoting AI adoption through regulatory frameworks prioritizing innovation and security.

  • SAMA’s Fintech Saudi Initiative supports startups in integrating AI into financial services, enabling advancements in digital payments, lending, and fraud detection.
  • The authority has also issued guidelines to ensure AI applications in banking adhere to cybersecurity standards and data protection laws.

CMA’s Oversight in the Capital Markets

The CMA focuses on AI’s integration within Saudi Arabia’s capital markets, emphasizing transparency, accountability, and investor protection.

  • It oversees AI’s use in algorithmic trading, risk assessment, and portfolio management, ensuring compliance with market integrity standards.
  • CMA’s initiatives aim to protect retail and institutional investors while enabling AI-driven innovations to flourish.

By fostering a supportive yet vigilant regulatory environment, SAMA and CMA are laying the groundwork for sustainable AI integration in financial services.

 

2. Balancing Innovation with Data Privacy, Ethical AI, and Regulatory Compliance

The adoption of AI in financial services presents significant opportunities, but it also raises critical concerns about data privacy, ethical use, and compliance.

Data Privacy Challenges

AI systems rely on vast amounts of data, raising questions about how customer information is collected, stored, and processed.

  • Saudi Arabia’s Personal Data Protection Law (PDPL) outlines stringent requirements for data privacy, ensuring that financial institutions prioritize transparency and customer consent.
  • Compliance with these regulations is vital for maintaining trust in AI-powered financial services.

Ethical AI Concerns

Ensuring that AI systems operate without bias or unethical outcomes is a growing challenge.

  • Regulators are advocating for AI models that are explainable, auditable, and free from discrimination.
  • Financial institutions must adopt frameworks that assess AI’s ethical impact and mitigate unintended consequences, such as biased credit scoring or investment recommendations.

Navigating Regulatory Compliance

Financial institutions must align their AI initiatives with existing and emerging regulations, which can be complex and resource-intensive.

  • Proactive engagement with regulators and participation in sandbox programs, like those offered by SAMA, can help institutions test AI applications within a controlled, compliant environment.

Balancing these priorities is essential to creating an AI-driven financial ecosystem that is both innovative and trustworthy.

 

3. The Role of the NSDAI in Shaping AI Regulation

Saudi Arabia’s National Strategy for Data and AI (NSDAI) provides a comprehensive framework for AI governance, setting the tone for responsible AI adoption in the financial sector.

NSDAI’s Core Objectives

  • Positioning Saudi Arabia as a Global AI Leader: The NSDAI aims to place the Kingdom among the top nations in AI readiness and application.
  • Encouraging Collaboration: By fostering partnerships between the public and private sectors, the NSDAI promotes the development of AI solutions tailored to local needs.
  • Establishing Ethical Guidelines: The strategy prioritizes ethical AI principles, ensuring fairness, transparency, and accountability in AI applications.

Impact on the Financial Sector

Under the NSDAI, financial institutions are encouraged to adopt AI while adhering to best practices in governance, risk management, and data security. This approach creates a strong foundation for innovation while mitigating potential risks.

 

4. Recommendations for Fostering a Safe and Innovative AI Ecosystem

To fully harness AI’s potential in financial services, Saudi Arabia must address key regulatory and operational challenges. Below are recommendations for fostering a secure and dynamic AI ecosystem:

1. Enhance Regulatory Collaboration

  • Establish a regular dialogue between financial institutions, tech companies, and regulators to address emerging AI trends and challenges.
  • Expand regulatory sandbox initiatives to test innovative AI solutions in a controlled, compliant environment.

2. Invest in Education and Workforce Development

  • Promote AI literacy and upskill financial professionals to work alongside AI technologies.
  • Collaborate with academic institutions to develop AI-focused programs that prepare the next generation of financial professionals.

3. Strengthen Ethical Oversight

  • Implement clear guidelines for ethical AI, including requirements for explainability, transparency, and bias prevention.
  • Create an independent body to audit AI systems and ensure compliance with ethical and regulatory standards.

4. Encourage Data Sharing with Security

  • Develop frameworks for secure and anonymized data sharing to enhance AI models without compromising customer privacy.
  • Incentivize data collaboration among financial institutions to improve fraud detection and risk assessment.

5. Leverage Emerging Technologies

  • Integrate AI with blockchain to enhance transparency and security in financial transactions.
  • Utilize predictive analytics for proactive fraud prevention and risk management.

By addressing these areas, Saudi Arabia can build a financial ecosystem that is not only innovative but also secure and aligned with global best practices.

 

Looking Ahead: AI in Fintech

As AI reshapes traditional financial services, its role in fintech is even more pronounced. In our next blog, we will explore how AI is driving financial inclusion and innovation in Saudi Arabia’s burgeoning fintech sector. From expanding access to underserved populations to enabling cutting-edge payment solutions, AI is unlocking new opportunities for growth and empowerment.

 

Finally, Saudi Arabia’s financial sector stands at the crossroads of innovation and regulation, with AI serving as a transformative force. By aligning regulatory frameworks with ethical principles and fostering collaboration, the Kingdom is creating a resilient, forward-thinking financial ecosystem.

 

As we move forward in this series, we will delve into AI’s role in fintech, examining how it is breaking barriers, enhancing inclusion, and driving the next wave of innovation in Saudi Arabia’s financial landscape.

 

Stay tuned for this exciting discussion in the next installment of our AI in Financial Services series.

Going Global: Selecting International Partners for Market Expansion

Ghada Ismail

 

Expanding your startup into international markets is a thrilling milestone, filled with opportunities for growth, innovation, and brand recognition on an international scale. But, like any significant venture, it requires careful planning, especially when selecting the right international partners. In this episode, we’ll explore how to navigate the complexities of global partnerships and establish collaborations that ensure sustainable success.

 

Why International Partnerships Are Crucial

Entering a foreign market without local knowledge is like sailing in uncharted waters without a compass. International partners provide critical advantages:

 

  • Market Intelligence: They understand local consumer behavior, regulatory landscapes, and industry trends.
  • Established Networks: They can open doors to distributors, clients, and suppliers that would otherwise take years to access.
  • Risk Mitigation: With their insights, you can avoid common pitfalls related to cultural missteps, legal issues, and operational inefficiencies.

 

Key Criteria for Selecting International Partners

When scouting for the perfect partner, focus on the following factors:

 

  1. Cultural Alignment
    Shared values, business ethics, and communication styles can make or break a partnership. Misalignment often leads to misunderstandings and inefficiencies. Ensure your partner’s work culture complements your startup’s ethos.
  2. Market Expertise
    Look for partners with proven experience in your target market. Evaluate their track record, network strength, and industry knowledge. They should bring value beyond just geographic proximity.
  3. Financial Stability
    A financially sound partner can weather market challenges and support long-term growth. Conduct due diligence to ensure they’re a reliable ally.
  4. Strategic Synergy
    Does the partner’s expertise fill gaps in your capabilities? A strategic fit amplifies both parties’ strengths, making your collaboration more impactful.
  5. Scalability and Commitment
    Your partner should have the resources and ambition to grow with you as your startup scales. Gauge their willingness to invest time, effort, and resources into the partnership.

How to Identify and Approach the Right Partners

  1. Conduct Comprehensive Research
    Utilize market reports, competitor analysis, and local business directories to vet potential candidates.
  2. Engage with Business Communities
    Online platforms like LinkedIn, local chambers of commerce, and startup hubs can connect you to reputable companies in your target market.
  3. Start Small
    Test the waters with a pilot project or short-term agreement before committing to a full-fledged partnership.

Navigating Challenges in Cross-Border Partnerships

  1. Cultural Barriers
    Language differences, negotiation styles, and decision-making processes can create friction. Invest in cross-cultural training and establish clear communication norms.
  2. Legal and Regulatory Issues
    Work with legal advisors familiar with both your home country and the target market to draft contracts that protect your interests.
  3. Trust-Building
    Transparency, consistent communication, and clear expectations are key to fostering trust. Regular visits and check-ins also strengthen relationships.

 

To recap, expanding into international markets is a complex but rewarding journey. The right partners can turn potential hurdles into stepping stones, accelerating your path to global success. Take the time to choose wisely, communicate openly, and align strategically for a partnership that not only survives but thrives across borders.

 

As your startup grows, so do the complexities of maintaining impactful partnerships. In the next episode of The Partnership Playbook, we’ll dive into "Navigating the Mature Stage: Partnerships for Sustainability and Legacy." Discover how to build alliances that not only sustain your business but also leave a lasting mark on your industry. Stay tuned! Bottom of Form

 

AI and Fraud Detection: Strengthening Cybersecurity in Financial Services

Kholoud Hussein 

 

As Saudi Arabia’s financial sector undergoes rapid digital transformation, the need for robust cybersecurity has never been greater. The increased reliance on online banking, digital payments, and wealth management platforms has created new opportunities for innovation and new vulnerabilities. Fraud, identity theft, and cyberattacks pose significant threats to the financial ecosystem, demanding advanced solutions to safeguard institutions and customers alike.

 

This is where artificial intelligence (AI) comes into play. By leveraging machine learning, pattern recognition, and real-time analytics, AI is revolutionizing fraud detection and cybersecurity in Saudi Arabia’s financial services industry. This fifth blog in our series explores how AI enhances security, paving the way for the next discussion on AI’s transformative role in the insurance sector.

 

1. The Growing Need for AI in Fraud Detection

The financial sector in Saudi Arabia has seen a surge in digital transactions, driven by Vision 2030’s emphasis on financial inclusion and innovation. However, this growth has also expanded the attack surface for cybercriminals.

Key Challenges:

  • Sophisticated Cyber Threats: Cybercriminals are using advanced techniques like phishing, ransomware, and social engineering to exploit vulnerabilities.
  • Volume of Transactions: The sheer number of digital transactions makes manual monitoring impractical.
  • Evolving Fraud Tactics: Traditional rule-based systems struggle to keep up with new and complex fraud methods.

AI addresses these challenges by enabling proactive, scalable, and adaptive fraud detection mechanisms.

 

2. How AI Detects and Prevents Fraud

AI enhances fraud detection by analyzing massive datasets in real-time, identifying anomalies, and predicting potential threats.

Applications of AI in Fraud Detection:

  • Anomaly Detection: Machine learning algorithms monitor transaction patterns and flag deviations that may indicate fraud, such as unusual spending behaviors or location changes.
  • Behavioral Biometrics: AI tracks user behavior, such as typing speed or navigation patterns, to detect unauthorized access attempts.
  • Real-Time Alerts: AI systems provide instant alerts to financial institutions when suspicious activities occur, enabling swift responses.
  • Deep Learning for Pattern Recognition: Advanced AI models identify patterns across large datasets to detect coordinated fraud schemes.

3. Strengthening Cybersecurity with AI

AI not only detects fraud but also enhances overall cybersecurity by identifying vulnerabilities and fortifying defenses.

AI-Powered Cybersecurity Measures:

  • Threat Intelligence: AI tools analyze global cyber threat data to predict and prevent attacks before they happen.
  • Adaptive Authentication: AI systems dynamically adjust authentication requirements based on risk levels, such as requesting additional verification for high-risk transactions.
  • Incident Response Automation: AI accelerates responses to cyber incidents, minimizing damage and recovery time.

4. Challenges in Implementing AI for Cybersecurity

While AI offers immense potential, its implementation is not without challenges:

  • Data Privacy: Ensuring AI systems comply with Saudi regulations, such as the Personal Data Protection Law (PDPL), is critical.
  • Cost of Implementation: Advanced AI systems require significant investment in technology and expertise.
  • Adversarial AI: Cybercriminals are also leveraging AI to develop more sophisticated attacks, creating an ongoing arms race.

5. The Future of Fraud Detection in Saudi Arabia

  • AI and Blockchain Integration

Combining AI with blockchain technology can further enhance fraud detection by creating transparent, tamper-proof transaction records.

  • Predictive Analytics for Proactive Security

AI will increasingly shift from reactive measures to predictive analytics, anticipating fraud before it occurs.

  • Collaboration Across Sectors

Financial institutions, government bodies, and tech providers will need to collaborate to build a unified defense against cyber threats.

 

AI’s Role in Vision 2030’s Cybersecurity Goals

AI’s contribution to fraud detection aligns with Vision 2030’s objectives of creating a resilient and secure financial ecosystem. By fostering trust in digital financial services, AI supports the Kingdom’s broader goals of innovation, inclusion, and global competitiveness.

Looking Ahead: AI in Insurance

As AI strengthens cybersecurity and fraud detection in financial services, its transformative potential extends to the insurance sector. From personalized policies to automated claims processing, AI is redefining how insurers operate and serve their customers. In the next blog, we will explore AI in insurance and its role in shaping a new paradigm for the industry.

 

In conclusion, AI is revolutionizing fraud detection and cybersecurity in Saudi Arabia’s financial sector, creating a safer and more trustworthy environment for customers and institutions alike. By detecting threats in real-time, enhancing security measures, and staying ahead of evolving fraud tactics, AI is a critical enabler of financial resilience.

 

Stay tuned for our next blog, where we explore how AI is driving innovation and efficiency in the insurance industry, creating a smarter, more personalized future for policyholders.

 

AI in Wealth Management: Enhancing Decision-Making

Kholoud Hussein 

 

Wealth management in Saudi Arabia is undergoing a significant transformation, driven by artificial intelligence (AI). With Vision 2030’s emphasis on financial empowerment and the growth of individual wealth, AI has become a cornerstone of this evolution, enabling smarter investment strategies, personalized advisory services, and more inclusive access to financial tools. By leveraging AI, wealth managers in the Kingdom are enhancing decision-making and reshaping the industry to cater to a digital-first generation.

 

In this fourth blog of our series, we explore how AI is revolutionizing wealth management in Saudi Arabia, setting the stage for our next discussion on AI in fraud detection and cybersecurity.

 

1. The Role of AI in Modern Wealth Management

 

AI redefines wealth management by integrating data analysis, automation, and predictive modeling into decision-making processes. In Saudi Arabia, where demand for innovative financial solutions is rising, AI has become a critical enabler of growth and efficiency.

 

Key Applications of AI in Wealth Management

 

Personalized Investment Strategies: AI-driven platforms analyze an individual’s financial history, goals, and risk appetite to create tailored investment portfolios.

Predictive Analytics for Market Trends: Machine learning models evaluate historical and real-time data to predict market movements, allowing wealth managers to make informed decisions.

Robo-Advisors: AI-powered advisors are democratizing access to wealth management services, particularly appealing to tech-savvy younger generations.

 

2. Enhancing Decision-Making Through AI

 

Smarter Portfolio Management

AI tools help wealth managers optimize portfolios by identifying the best asset allocation strategies based on real-time market conditions. These systems can evaluate thousands of scenarios within seconds, enabling data-driven decisions.

 

 

Improved Risk Management

AI enables wealth managers to assess risks more effectively by analyzing complex datasets, including geopolitical events, macroeconomic indicators, and client-specific risks.

 

3. Expanding Access to Wealth Management

 

Traditionally, wealth management services were reserved for high-net-worth individuals (HNWIs). AI is breaking this barrier by offering affordable, scalable solutions to a broader audience.

 

Robo-Advisors for the Mass Market: Platforms like robo-advisors provide automated investment services, offering low-cost options for Saudi Arabia’s growing middle class.

Financial Education Tools: AI chatbots and tools guide users through investment basics, fostering financial literacy and inclusion.

 

 

4. Challenges and Opportunities in AI-Driven Wealth Management

 

Challenges:

 

  • Data Privacy: Safeguarding sensitive financial information remains a top priority.
  • Adoption Barriers: Traditional wealth managers may resist adopting AI tools due to unfamiliarity or perceived complexity.
  • Regulatory Hurdles: Ensuring AI systems comply with local financial regulations is crucial for long-term success.

 

Opportunities:

 

AI Integration with ESG Investing: AI can evaluate environmental, social, and governance (ESG) criteria, allowing wealth managers to align portfolios with sustainability goals.

Enhanced Client Engagement: AI tools can deliver hyper-personalized experiences, fostering stronger relationships between wealth managers and clients.

 

The Future of Wealth Management in Saudi Arabia

 

The integration of AI into wealth management is not just a trend—it is the future. With a tech-savvy population and government support, Saudi Arabia is well-positioned to become a leader in AI-driven wealth management. Institutions that embrace these technologies will gain a competitive edge, offering smarter, faster, and more accessible solutions.

 

As wealth managers focus on innovation, the next frontier lies in addressing security challenges. With the increasing reliance on digital platforms, the risk of cyber threats and fraud has risen. In our next blog, we will explore how AI is revolutionizing fraud detection and strengthening cybersecurity in Saudi Arabia’s financial services sector.

 

Finally, AI is transforming wealth management in Saudi Arabia by enhancing decision-making, personalizing services, and expanding access to financial tools. These advancements not only empower individuals but also support Vision 2030’s goal of creating a robust, inclusive financial ecosystem.

 

Stay tuned as we delve into the critical role AI plays in safeguarding the financial sector through advanced fraud detection and cybersecurity measures in the next installment of our series.

Sharkawy: Sprints’ social learning methods boost completion rates to 90%

Noha Gad 

 

The education technology (edtech) sector in Saudi Arabia is undergoing a remarkable transformation, closely aligned with Vision 2030’s digital transformation goal. Recognizing the critical role of technology in enhancing educational outcomes, the Saudi government has implemented various initiatives and policies to attract local and international investors.

Key players in the edtech industry such as Noon Academy, Nokhbah Academy, Sprints, and others launched their operations in the Kingdom, backed by the government’s efforts to modernize the education system by supporting innovative solutions such as online learning platforms, virtual classrooms, and adaptive learning technologies.

Sprints, a leading Egyptian edtech company with a strong presence in Saudi Arabia, leverages artificial intelligence (AI) to redefine the future of education in the Middle East and North Africa (MENA) region, ultimately bridging the tech talent gap in the region by preparing qualified talent for the labor market with a guaranteed hiring program.

Sharikat Mubasher had an interview with Sprints’ Co-founder and Chief Strategy Officer Bassam Sharkawy, a passionate entrepreneur with over 13 years of experience in the software industry, to learn more about the company’s pivotal role in revolutionizing the edtech sector, regional and global expansions, and its future plans.

 

 

First, how do Sprints’ services revolutionize the edtech industry and transform the tech talent landscape? 

A key unique characteristic of Sprints is our AI-powered platform that creates a real working environment simulation. Our learners do not just study - they work in teams, have daily meetings, and use actual task management systems. We have implemented AI coaching that acts as senior mentors, and we even have AI-simulated customers sending emails to help develop practical skills. What really sets us apart is our social learning approach - while typical MOOCs see only 5-10% completion rates, our social learning methods boost this to 80-90%.

Secondly, it is the fact that employment is in our DNA. We started with guaranteed hiring boot camps, evolving into an outstaffing service that connects global clients with high-performing African teams. With over 100,000 tech professionals on our platform, we offer a win-win:

 

  • For employers, we deliver reliable teams while managing all legal, tax, and payroll complexities, making the process seamless and hassle-free.
  • For talent, it means global projects, competitive salaries, job stability, and benefits like medical insurance.

 

In March, Sprints raised $3mn in a bridge round to expand into 10 new markets. Can you share more about the company’s plans to broaden business in the GCC region?

We are already active in Egypt, Saudi Arabia, Oman, and Jordan, where we collaborate with governments and private entities to equip the next generation with essential tech skills, including AI, cybersecurity, digital marketing, and more.

In the UAE, for instance, we partnered with the Abdulla Al Ghurair Foundation to train 130 Emirati cybersecurity engineers. Building on the success of this program, we plan to scale it up to 1,000 engineers by 2025. 

 

 

What are the company’s global expansion plans? 

We are proud to have clients in six countries that are tech leaders, including the US, Canada, Germany, Ireland, Switzerland, and New Zealand. Next year, we will open a new funding round tackling 20 countries.

 

Sprints aspires to educate 1 billion learners in 10 years. How will the company achieve this goal?

We are 100% committed to this ambitious goal of educating 1 billion learners in 10 years and plan to achieve that through AI, automation, and personalized learning. We are creating adaptive learning experiences where everyone has their own individualized journey that takes them up, depending on their level. The key is that no two learners follow the same path - each person's experience is tailored to their pace, style, and capabilities.

 

Through social learning, we are motivating people to complete their courses, which has dramatically improved our completion rates from the typical 5-10% seen in traditional online courses to 80-90%. AI is revolutionizing the way we learn, and it is going to continue doing that for the next decade.

 

What makes our approach particularly powerful is our focus on matching learners with global employers. This is not just about education; it is about creating real career opportunities. By combining AI-powered learning with actual job placement, we are creating a sustainable ecosystem that can truly scale to reach our billion-learner goal.

 

 

In your opinion, what does MENA’s edtech sector need to thrive? and how Sprints tackles tech-workforce challenges?

 

The MENA region's edtech sector faces unique challenges, particularly in North Africa. The fundamental issue is purchasing power as many talented individuals cannot access high-quality education. While government support exists, it needs to be dramatically scaled to meet the growing demand for tech talent.

 

What is exciting is how we are tackling these challenges head-on. We are bridging the critical gap between education and employment through a multi-faceted approach. First, we are actively collaborating with governments across Africa to create supportive frameworks. Second, we are working with companies to increase their confidence in outsourcing to local talent. And third, we are opening up global remote work opportunities that previously seemed out of reach.

 

One of our proudest achievements is our focus on female talent development. This is not just about equality; it is about unlocking the full potential of our region. By bringing more women into tech, we are not only addressing the talent shortage but also creating new sources of foreign currency income through IT exports.