A new survey released by the World Economic Forum and the Cambridge Centre for Alternative Finance (CCAF) finds nearly two-thirds (64%) of financial services leaders expect to be mass adopters of AI in just two years compared to just 16% doing so today. These firms expect to use AI for purposes beyond cost reduction including revenue generation, process automation, risk management, customer service and client acquisition.
In Transforming Paradigms: Global AI in Financial Services Survey, over 150 senior financial services executives in both fintech and incumbent financial institutions responded to a range of questions on the impact AI will have on the industry, concluding that there will be a significant gap between firms that quickly implement AI and firms that lag behind.
Currently, 60% of firms invest less than 10% of their R&D resources on AI despite evidence of accelerating returns. Pay offs have shown to be especially strong between investment levels of 10% and 30% as well as investment levels of 30% and >40%.
“The comprehensive and global study confirms that AI is affecting the financial system at an accelerating pace,” says Matthew Blake, Head of Financial and Monetary Systems at the World Economic Forum. “With the rising trend of mass adoption of the technologies throughout financial services, those firms that implement AI quickly look set to sprint ahead.”
The study has also revealed executive fears surrounding AI bias and market-wide risks, with over half of executives saying they expect mass AI adoption to worsen bias and discrimination within the sector. Other market-wide risks were also identified.
This is a worry, but 70% of respondents also believe they are at least somewhat prepared to mitigate AI bias risks. Generally, firms using Risk and Compliance teams in AI implementation are most confident about their chances.
The report also identified a difference between how fintechs and incumbent firms are expecting to use AI in their businesses. For example, a higher share of fintechs are creating AI-based products and services, employ autonomous decision-making systems, and rely on cloud-based offerings. Meanwhile, traditional financial services players predominantly focus on harnessing AI to improve existing products.
“This empirical research underscores the growing importance of harnessing AI in financial services,” says Bryan Zhang, Executive Director of the Cambridge Centre for Alternative Finance, “which gives new impetus for firms to develop a holistic and future-proof AI strategy.”
The Global AI in Financial Services Survey, which was produced in collaboration with EY and Invesco, looks into many areas of AI adoption in financial services. The report’s other major findings include:
77% anticipate AI to have high or very high strategic importance within two years
Nearly half of all respondents see a major competitive threat in “Big Tech” firms leveraging AI capabilities to enter financial services.
Selling AI-based solutions as a service is becoming a distinct business model, currently adopted by 45% of fintechs and 21% of incumbents, which allows firms to capitalize on larger and more diverse datasets through digital platforms.
Novel insights are increasingly provided by using AI to analyse new or alternative datasets such as social media and geo-location data, with 60% of respondents making use of such data in their AI applications.
Data quality and access to data and talent are seen as major obstacles to implementing AI by more than 80% of respondents each.
Traditional financial services firms expect AI a 9% net reduction of jobs by 2030 while fintechs expect to increase their workforce by 19%.
While views of regulatory influence on AI implementation diverge, most firms feel impeded by data-sharing regulations between jurisdictions and entities as well as regulatory uncertainty and complexity.
“AI is transforming the financial services industry and we can expect widespread adoption to continue,” says Nigel Duffy, EY Global Artificial Intelligence Leader. “As the technologies start to disrupt business models and transform business functions, it’s increasingly important for organizations to focus on the long-term implications of AI adoption: trust in AI, workforce transformation, and how customer and stakeholder value can be radically reimagined.”
“The report highlights the amazing opportunity ahead of us in financial services for using artificial intelligence and machine learning to the benefits of our customers and our organizations,” says Donie Lochan, Chief Technology Officer, Invesco. “Technological advances such as leveraging intelligence to define investments for customers tied to their personalized goals, improving customer experience through the use of intelligent bots, additional alpha generation via insights from alternative datasets, and operational efficiencies through machine learning automation, will soon become the norm for our industry.”
Overall, this survey highlights the profound shift AI is bringing to the financial services industry. As companies begin to leverage AI to increase profitability and achieve scale, more changes can be expected within the industry and for consumers.
‘Industry 4.0’ tech for post-COVID world, is driving inequality
Developing countries must embrace ground-breaking technologies that have been a critical tool in tackling the COVID-19 pandemic, or else face even greater inequalities than before, UN economic development experts at UNCTAD said on Thursday.
“Very few countries create the technologies that drive this revolution – most of them are created in China and the US – but all countries will be affected by it”, said UNCTAD’s Shamika Sirimanne, head of Division on Technology and Logistics. “Almost none of the developing countries we studied is prepared for the consequences.”
The appeal, which is highlighted in a new UNCTAD report, relates to all things digital and connective, so-called “Industry 4.0” or “frontier technologies”, that include artificial intelligence, big data, blockchain, 5G, 3D printing, robotics, drones, nanotechnology and solar energy.
Gene editing, another fast-evolving sector, has demonstrated its worth in the last year, with the accelerated development of new coronavirus vaccines.
In developing countries, digital tools can be used to monitor ground water contamination, deliver medical supplies to remote communities via drones, or track diseases using big data, said UNCTAD’s Sirimanne.
But “most of these examples remain at pilot level, without ever being scaled-up to reach those most in need: the poor. To be successful, technology deployment must fulfil the five As: availability, affordability, awareness, accessibility, and the ability for effective use.”
Income gap widening
With an estimated market value of $350 billion today, the array of emerging digital solutions for life after COVID is likely to be worth over $3 trillion by 2025 – hence the need for developing countries to invest in training and infrastructure to be part of it, Sirimanne maintained.
“Most Industry 4.0 technologies that are being deployed in developed countries save labour in routine tasks affecting mid-level skill jobs. They reward digital skills and capital”, she said, pointing to the significant increase in the market value of the world’s leading digital platforms during the pandemic.
“The largest gains have been made by Amazon, Apple and Tencent,” Sirimanne continued. “This is not surprising given that a very small number of very large firms provided most of the digital solutions that we have used to cope with various lockdowns and travel restrictions.”
Expressing optimism about the potential for developing countries to be carried along with the new wave of digitalisation rather than be swamped by it, the UNCTAD economist downplayed concerns that increasing workforce automation risked putting people in poorer countries out of a job.
This is because “not all tasks in a job are automated, and, most importantly, that new products, tasks, professions, and economic activities are created throughout the economy”, Sirimanne said.
“The low wages …for skills in developing countries plus the demographic trends will not create economic incentives to replace labour in manufacturing – not yet.”
According to UNCTAD, over the past two decades, the expansion in high and low-wage jobs – a phenomenon known as “job polarization” – has led to only a single-digit reduction in medium-skilled jobs in developed and developing countries (of four and six per cent respectively).
“So, it is expected that low and lower-middle income developing countries will be less exposed to potential negative effects of AI and robots on job polarization”, Sirimanne explained.
Nonetheless, the UN trade and development body cautioned that there appeared to be little sign of galloping inequality slowing down in the new digital age, pointing to data indicating that the income gap between developed and developing countries is $40,749 in real terms today, up from $17,000 in 1970.
Greater Innovation Critical to Driving Sustained Economic Recovery in East Asia
Innovation is critical to productivity growth and economic progress in developing East Asia in a rapidly changing world, according to a new World Bank report launched today.
Countries in developing East Asia have an impressive record of sustained growth and poverty reduction. But slowing productivity growth, uncertainties in global trade, and technological advances are increasing the need to transition to new and better modes of production to sustain economic performance.
To support policy makers in meeting this challenge, The Innovation Imperative for Developing East Asia examines the state of innovation in the region, analyzes the key constraints firms face in innovating, and lays out an agenda for action to spur innovation-led growth.
“A large body of evidence links innovation to higher productivity,” said Victoria Kwakwa, World Bank Vice President for East Asia and Pacific. “The COVID-19 pandemic, climate change, along with the fast-evolving global environment, have raised urgency for governments in the region to promote greater innovation through better policies.”
While developing East Asia is home to several high-profile innovators, data presented in the report show that most countries in the region (except China) innovate less than would be expected given their per capita income levels. Most firms operate far from the technological frontier. And the region is falling behind the advanced economies in the breadth and intensity of new technology use.
“Aside from some noteworthy examples, the vast majority of firms in developing East Asia are currently not innovating,” said Xavier Cirera, a lead author of the report. “A broad-based model of innovation is thus needed – that supports a large mass of firms in adopting new technologies, while also enabling more-sophisticated firms to undertake projects at the cutting edge.”
The report identifies several factors that impede innovation in the region, including inadequate information on new technologies, uncertainty about returns to innovation projects, weak firm capabilities, insufficient staff skills, and limited financing options. Moreover, countries’ innovation policies and institutions are often not aligned with firms’ capabilities and needs.
To spur innovation, the report argues that countries need to reorient policy to promote diffusion of existing technologies, not just invention; support innovation in the services sectors, not just manufacturing; and strengthen firms’ innovation capabilities. Taking this broader view of innovation policy will be critical to enabling productivity gains among a broader swath of firms in the region.
“It is important for governments in the region to support innovation in services, given their rising importance in these economies – not only for better service quality but increasingly as key inputs for manufacturing,” said Andrew Mason, also a lead author of the report.
Countries also need to strengthen key complementary factors for innovation, including workers’ skills and instruments to finance innovation projects. Building stronger links between national research institutions and firms will also be critical to fostering innovation-led growth in the region.
Sea transport is primary route for counterfeiters
More than half of the total value of counterfeit goods seized around the world are shipped by sea, according to a new OECD-EUIPO report.
Misuse of Containerized Maritime Shipping In the Global Trade of Counterfeits says that seaborne transport accounts for more than 80% of the volume of merchandise traded between countries, and more than 70% of the total value of trade.
Containerships carried 56% of the total value of seized counterfeits in 2016. The People’s Republic of China was the largest provenance economy for container shipments, making up 79% of the total value of maritime containers containing fakes and seized worldwide. India, Malaysia, Mexico, Singapore, Thailand, Turkey and the United Arab Emirates are also among the top provenance economies for counterfeit and pirated goods traded worldwide.
Between 2014 and 2016, 82% of the seized value of counterfeit perfumes and cosmetics by customs authorities worldwide, 81% of the value of fake footwear and 73% of the value of customs seizures of fake foodstuff and toys and games concerned sea shipments. Additional analysis showed that over half of containers transported in 2016 by ships from economies known to be major sources of counterfeits entered the European Union through Germany, the Netherlands and the United Kingdom. There are also some EU countries, such as Bulgaria, Croatia, Greece and Romania, with relatively low volumes of containers trade in general, but with a high level of imports from counterfeiting-intense economies.
To combat illicit trade, a number of risk-assessment and targeting methods have been adapted for containerised shipping, in particular to enforce against illicit trade in narcotics and hazardous and prohibited goods. But the analysis reveals that the illicit trade in counterfeits has not been a high priority for enforcement, as shipments of counterfeits are commonly perceived as “commercial trade infractions” rather than criminal activity. Consequently, existing enforcement efforts may not be adequately tailored to respond to this risk, according to the report. Tailored and flexible governance solutions are required to strengthen risk-assessment and targeting methods against counterfeits.
As well as infringing trademarks and copyright, counterfeit and pirated goods entail health and safety risks, product malfunctions and loss of income for companies and governments. Earlier OECD-EUIPO work has shown that imports of counterfeit and pirated goods amounted to up to USD 509 billion in 2016, or around 3.3% of global trade.
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