Showing posts with label FinancialInclusion. Show all posts
Showing posts with label FinancialInclusion. Show all posts

Saturday, November 14, 2026

5 Reasons The Future Of FinTech Is African

AFP VIA GETTY IMAGES

Last week, 300 hundred venture capitalists descended on Nairobi for the Kauffman Fellows Summit, one of the world’s largest venture capital gatherings – and the first time it took place in Africa. The story of technology in Africa in many ways is also a fintech story. The majority of Africa’s 10+ unicorns are fintech businesses, many of which I’ve covered in this column. Across 2021 and 2022, between 40-60% of VC funding in Africa went towards fintech.…..Continue reading…

By:

Source: Forbes 

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Critics:

Fintech companies use a variety of technologies, including artificial intelligence (AI), big data, robotic process automation (RPA), and blockchain. AI algorithms can provide insight into customer spending habits, allowing financial institutions to better understand their clients. Chatbots are another AI-driven tool that banks are starting to use to help with customer service.

AI enables personalized financial services, enhanced fraud prevention, financial inclusion, and sustainable investing.It’s anticipated to drive massive value creation in the fintech sector, notably in predictive finance and automated decision-making. Advancements in deep learning and large language models (LLM) are pivotal for AI-driven investment strategies, enabling real-time market adjustments and personalized investment strategies tailored to individual risk profiles.

Furthermore, AI and Machine Learning (ML) contribute to improved efficiency, better risk management, cost savings, and an enhanced customer experience in financial institutions. Big data can predict client investments and market changes in order to create new strategies and portfolios, analyze customer spending habits, improve fraud detection, and create marketing strategies.

Robotic Process Automation is an artificial intelligence technology that focuses on automating specific repetitive tasks. RPA helps to process financial information such as accounts payable and receivable more efficiently than the manual process and often more accurately. Blockchain is an emerging technology in finance which has driven significant investment from many companies.The decentralized nature of blockchain can eliminate the need for a third party to execute transactions.

Financial magazine Forbes created a list of the leading disruptors in financial technology for its Forbes 2021 Global Fintech 50. In Europe there is a list called the FinTech 50, which aims to recognise the most innovative companies in fintech. A report published in February 2016 by EY commissioned by the UK Treasury compared seven leading fintech hubs: the United Kingdom, California, New York City, Singapore, Germany, Australia and Hong Kong. It ranked California first for ‘talent’ and ‘capital’, the United Kingdom first for ‘government policy’, and New York City first for ‘demand’.

For the past few years, PwC has posted a report called the “Global Fintech Report”. The 2019 report covers many topics of the financial technology sector, describing the landscape of the fintech industry, and some of the emerging technologies in the sector. And it provides strategies for financial institutions on how to incorporate more “fintech” technologies into their business.

Finance is seen as one of the industries most vulnerable to disruption by software because financial services, much like publishing, are made of information rather than concrete goods. In particular blockchains have the potential to reduce the cost of transacting in a financial system. While finance has been shielded by regulation until now, and weathered the dot-com boom without major upheaval, a new wave of startups is increasingly “disaggregating” global banks.

However, aggressive enforcement of the Bank Secrecy Act and money transmission regulations represents an ongoing threat to fintech companies. In response, the International Monetary Fund (IMF) and the World Bank jointly presented Bali Fintech Agenda on October 11, 2018[51] which consists of 12 policy elements acting as a guidelines for various governments and central banking institutions to adopt and deploy “rapid advances in financial technology”.

The New York Venture Capital Association (NYVCA) hosts annual summits to educate those interested in learning more about fintech. In 2018 alone, fintech was responsible for over 1,700 deals worth over 40 billion dollars. In 2021, one in every five dollars invested by venture capital has gone into fintech.

Data security is another issue regulators are concerned about because of the threat of hacking as well as the need to protect sensitive consumer and corporate financial data. Leading global fintech companies are proactively turning to cloud technology to meet increasingly stringent compliance regulations. The Federal Trade Commission provides free resources for corporations of all sizes to meet their legal obligations of protecting sensitive data.

Several private initiatives suggest that multiple layers of defense can help isolate and secure financial data. In the European Union, fintech companies must adhere to data protection laws, such as GDPR. Companies need to proactively protect users and companies data or face fines of 20 million euros, or in the case of an undertaking, up to 4% of their total global turnover.

In addition to GDPR, European financial institutions including fintech firms have to update their regulatory affairs departments with the Payment Services Directive (PSD2), meaning they must organise their revenue structure around a central goal of privacy. Any data breach, no matter how small, can result in direct liability to a company (see the Gramm–Leach–Bliley Act) and ruin a fintech company’s reputation.

The online financial sector is also an increasing target of distributed denial of service extortion attacks. This security challenge is also faced by historical bank companies since they do offer Internet-connected customer services. Many fintech technologies have very high start-up costs but very low marginal costs for adding additional customers, effectively necessitating many fintech companies to act as natural monopolies.

2 Fintech Stocks Set to Face Stiff Apple Pay Competition
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FintechInAfrica ,AfricaTech ,Innovation ,DigitalFinance ,FinancialInclusion ,TechForGood ,FintechRevolution ,StartupsInAfrica ,AfricanEconomy ,WealthManagement ,MobileBanking ,Remittances ,BlockchainAfrica ,InvestmentOpportunities ,EconomicEmpowerment ,TechStartups ,AfricaRising ,FinanceSolutions ,FutureOfFinance

Saturday, February 21, 2026

What Will AI Mean For Economic Inequality?

Israel Vargas

Prominent AI researchers expect the arrival of artificial general intelligence anywhere between “the next couple of years” and “possibly never.” At the same time, leading economists disagree about the potential impact of AI: Some anticipate a future of perpetually accelerating productivity, while others project more modest gains. But most experts agree that technological advancement, however buoyant, is no guarantee that everyone benefits…..Continue reading….

By: Katya Klinova

Source:  MIT Technology Review

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Critics:

Artificial Intelligence (AI) is going to be a big game changer in the global economy, and much of the value potential is up for grabs. We estimate that AI could contribute up to $15.7 trillion to the global economy in 20301, more than the current output of China and India combined.

A wide adoption of AI innovations has been estimated to increase GDP by as much as 7% over a 10-year period (Goldman Sachs, 2023a), however the evidence so far reveals positive yet not impressive gains, which may be due to the complex nature of the phenomenon.A report by the McKinsey Global Institute estimates that by 2030, up to 375 million workers worldwide may need to switch occupations due to automation.

 

The impact of AI on unemployment is expected to be uneven, disproportionately affecting low-skilled and repetitive jobs. AI will be able to better analyse a variety of customer-related data which could lead to better tailored products and services. This could improve financial institutions’ product-to-customer match, increasing economic efficiency for both the institution and the customer.

Gen AI is being applied to numerous industries including healthcare, finance, transportation, manufacturing, entertainment, and retail. Case studies and data have shown how Gen AI could add trillions to the global economy while displacing workers at all levels, creating a quandary for economists. By 2030, AI will be unfathomably more powerful than humans in ways that will transform our world. It will also continue to lag human capabilities in other ways.

By 2050, economist Dr Carl Frey and Michael Osborne, a professor of machine learning, both at the University of Oxford, predict that at least 40 per cent of current jobs will be lost to automation, while management consultancy firm McKinsey puts the figure at 50 per cent. Goldman Sachs economists said in March last year that as many as 300 million full-time jobs could be lost or diminished globally by the rise of generative AI, with white-collar workers likely to be the most at risk.

 AI is neither inherently good nor bad. It is a tool that can be used for both beneficial and harmful purposes, depending on how it is developed and used. It is important to approach AI with caution and responsibility, ensuring that it is developed and used in an ethical and transparent manner. Not all jobs will be replaced by AI, but many roles like customer service representative, truck driver and computer programmer could be automated.

In addition, AI could lead to new jobs like machine learning engineer and prompt engineer. The productivity of artificial intelligence may boost our workplaces, which will benefit people by enabling them to do more work. As the future of AI replaces tedious or dangerous tasks, the human workforce is liberated to focus on tasks for which they are more equipped, such as those requiring creativity and empathy.

In financial markets, technology has done a tremendous job in improving price discovery, deepening markets, and often dampening volatility in times of stress. And AI is likely to continue these trends as well. There are four specific risks most experts associate with AI: data poisoning, reverse engineering, deep fakes and non-compliance. Take data poisoning. A decade ago, banks had to worry about how to manage humans in the data chain.

AI acts as a force multiplier, allowing humans to focus on higher-order tasks that require creativity, critical thinking, and emotional intelligence. Rather than replacing workers, AI serves as a tool for augmenting human capabilities, leading to a more dynamic and productive workforce. AI in finance modernizes the entire industry by streamlining traditionally manual banking processes and unlocking deeper insights from generated data, helping dictate how and where investments are made.

Opportunities, Challenges, And The Future Of AI In The Creator Economy Forbes 13:20 Sat, 31 Aug 

Oman unveils AI and digital tech programme to boost economy Oman Observer 17:53 Sun, 22 Sep 

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Labels: #EconomicInequality #WealthGap #IncomeDisparity #SocialJustice #EquityForAll #FinancialInclusion #PovertyAwareness #StandAgainstInequality #FairDistribution #WealthDisparity #EconomicJustice #ChangeTheSystem #EqualOpportunity #ReformEconomics #FightInequality #EconomicEmpowerment #SupportTheUnderprivileged #BreakTheCycle #SomaliaInequality

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