Closing the Investment Gap for Artificial Intelligence in Europe
We live in a time when new technologies like blockchain , AI , big data and the Internet of Things are transforming all sectors of the economy. Driverless cars, on-demand ride-sharing services, entertainment content platforms, image and facial recognition software, instantaneous translation and many more innovations have all resulted from start-ups in deep tech - technology that relies on long-term scientific research and advanced engineering , and may take some years to reach the market.
But disruptive technologies tend to face substantial challenges when seeking the finance to scale up, especially because most investors do not have the right technical expertise to assess the market prospects of the different technological solutions. They consider digital innovations, such as #artificialintelligence iand #blockchain as too complex, and thus shy away from investments in these strategic areas. They need to know the track record of the start-up, the collateral and revenue prospects it can offer, and the extent to which it is dependent on obtaining intellectual property rights. They may prefer to stay with more traditional industries.
This challenge is particularly acute for Europe. For example, since 2011, two thirds of global equity investment in AI has gone to the US: this is fully consistent with the US's overall strong position in the global venture capital market. Europe has made steady progress, with its share of global equity in AI growing from a mere 1% in 2013 to 8% in 2017. At the same time, however, China increased its share from 3% in 2015 to a whopping 36% in 2017. An OECD report provides more detailed insights into these figures. Overall venture capital investment is growing rapidly in Europe (from € 5 billion in 2013 to € 25 billion in 2018), but it remains limited compared with the US, where the market is approximately 5 times larger. There is a growing investment gap between Europe, North America and China in key strategic technologies like AI, blockchain, 5G and quantum computing .
Bridging the investment gap
However, when we look at investment in blockchain technologies, the investment gap for deep tech start-ups between Europe and the US is significantly smaller. While most investments in blockchain start-ups are directed at US companies with a total of € 4.4 billion (33%), European companies have attracted a solid € 2.9 billion (22%) and China follows with a total of € 2.8 billion (21 %). One of the underlying reasons is that, between 2009 and 2018, European blockchain start-ups made far more use of alternative forms of finance than their US counterparts. For example, European startups obtained a large amount of funding through what it is known as “initial coin offerings”, an innovative way of raising money from the public, using virtual coins or tokens. In this way, they managed to raise almost 60% of their total financing, while the equivalent figure for US blockchain start-ups did not exceed 18%.
The European institutions want to build on this promising trend, and to support the development of a dynamic EU-wide innovation ecosystem. In particular, the European Commission, in collaboration with the European Investment Fund (EIF), has created the first dedicated EU equity investment fund for AI and blockchain technologies.
This EU investment fund aims to support and leverage investments in highly innovative start-ups and tech companies. In the first phase, the total expected investment volume is EUR 400 Mill, with a contribution from the Commission and the EIF of € 100 million and the rest being leveraged from venture capital funds. This first European AI and blockchain investment fund was then scaled-up under the InvestEU program and reached an estimated investment volume of approximately € 1,2 billion in 2022.
Bringing innovators and investors together
We are organizing follow-up activities for all stakeholders to take a deep dive into the fund's objectives with the blockchain global community, and to discuss ways to leverage it to unlock additional financing from EU Member States and private investors, as well as future scale- up plans.
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The Financing Deep Tech flagship study analyzes how to address these knowledge and funding challenges and how to improve access to finance for deep-tech innovations, specifically #startups and #smes
✅ There is a substantial #marketfailure in the #financing of deep-tech solutions- a major barrier for digital #startups and #digital innovations to scale-up.
✅ Deep technology innovations are inherently risky, #capital intensive and require patient, long-term financing.
✅Due to the rapid cycles of innovations and the increasing complexity of deep technologies, there is a sizeable ‘knowledge gap’ between innovators and investors.
✅ These information asymmetries hinder investors from adequately assessing the technical and financial viability of deep-tech solutions.
Key questions for enabling the increased investments in AI and blockchain technologies in Europe remain:
Head of Data Economy, Digital and Green Twin Transition, Adjunct Professor, Georgetown University-personal views
1yRebeca De Sancho Mayoral
Sociologist. Accessibility-Centric Digital Transformation Leader & CxO Advisor. Advancing Future Work Cultures, Diversity & Inclusion, Sustainability. Co-founder of AXSChat & DT Lab🏆European Digital Mindset Award Winner
1yNo easy solutions. There is a significant difference in the ambitions of the founders of both continents. In the U.S., founders want to conquer the world; in Europe, they struggle to conquer their country of residence.