The financial services industry has a new worry keeping executives up at night, and it's not the usual suspects of market volatility or geopolitical turmoil. According to the latest annual Systemic Risk Barometer from the Depository Trust & Clearing Corporation (DTCC), artificial intelligence (AI) has emerged as a critical concern, and the crypto industry would be wise to take notice.
Released Wednesday, the survey of financial professionals globally reveals a sector grappling with the double-edged sword of AI adoption. While firms race to deploy machine learning models for everything from fraud detection to trading algorithms, the risks are becoming impossible to ignore.
When asked about AI-specific threats, 41% of respondents flagged cybersecurity and data protection vulnerabilities as their primary concern. Close behind, 38% pointed to AI-generated misinformation — the dreaded "hallucinations" that can produce false outputs with dangerous confidence. Another 37% cited insufficient governance and oversight, while 34% worried about overreliance on AI solutions.
Fintech itself now ranks as a top-five systemic risk for 33% of respondents, sitting just below excessive global debt and inflation. That's a remarkable shift for an industry sector that, until recently, was viewed primarily as an opportunity rather than a threat.
"A common theme across the survey responses was concern over uncertainty — whether economic, geopolitical, or tied to emerging technologies like AI," said Tim Cuddihy, DTCC's group chief risk officer. He warned that technologies like AI and quantum computing could create "fresh pathways for contagion and systemic events."
Why Crypto Can't Afford to Ignore This
For the crypto industry, these findings should resonate deeply. Digital asset firms have been among the most aggressive adopters of AI technology, deploying it for market making, risk management, compliance monitoring, and customer service. Exchanges use machine learning to detect wash trading and manipulation. DeFi protocols incorporate AI-powered oracles and automated market makers. Crypto trading firms rely on AI-driven strategies to navigate 24/7 markets.
But the same vulnerabilities plaguing traditional finance apply, often with higher stakes. A compromised AI system at a centralized exchange could enable market manipulation at unprecedented scale. Hallucinations in AI-powered smart contract auditing tools could miss critical vulnerabilities. And the concentration risk that concerns traditional finance is even more acute in crypto, where a handful of AI providers dominate infrastructure across multiple protocols.
The survey's findings on quantum computing preparedness are particularly relevant for blockchain networks. Only 29% of financial firms confirmed they're actively planning for quantum-related cybersecurity risks, while 25% acknowledge the threat but have no mitigation strategy. For an industry built on cryptographic security, this represents an existential blind spot.
Most major blockchain networks remain vulnerable to quantum attacks that could break current encryption standards. While some projects are exploring quantum-resistant cryptography, adoption remains limited. The financial sector's lack of preparedness suggests the broader economy isn't ready for the quantum transition — and neither is crypto.
The Broader Risk Landscape
The AI concerns exist within a complex risk environment. Geopolitical tensions and trade conflicts topped the overall risk rankings for the fourth straight year, with 78% of respondents naming them among their top five concerns. Cyber risk claimed second place at 63%, followed by potential U.S. economic slowdown at 41%.
For crypto markets, these traditional risks intersect with AI vulnerabilities in concerning ways. Geopolitical tensions could drive governments to weaponize AI for financial surveillance or capital controls, potentially targeting crypto networks. Cyber attacks enhanced by AI capabilities could simultaneously compromise multiple platforms. An economic slowdown could force firms to cut corners on AI governance and testing.
The concentration risk also extends beyond AI providers. Survey respondents expressed concern about heavy reliance on a few technology platforms and infrastructure providers — a warning that applies directly to crypto's dependence on AWS, Cloudflare, and other centralized services.
What Comes Next
DTCC has conducted this survey annually since 2013, providing a longitudinal view of how risk perceptions evolve. The emergence of AI as a top-tier concern marks a inflection point. As Cuddihy noted, "The most effective tool to navigate uncertainty is industry-wide communication and collaboration."
For crypto, that means moving beyond the "move fast and break things" mentality when it comes to AI deployment. It means stress-testing AI systems against adversarial attacks. It means developing industry standards for AI governance before regulators impose them. And it means preparing for quantum computing threats before they materialize.
The traditional finance sector is sounding the alarm on AI risks. The crypto industry, with its ethos of decentralization and security, should be leading the response, not playing catch-up.
Elsewhere
Podcast
Licensed to Shill – Why Central Asia; Why Now? ft. Anthony Howe (GFTN)
This week, the Licensed to Shill panel dives into the dynamic world of Central Asia – a region rapidly emerging as a pivotal hub for trade and innovation. Anthony Howe from the Global Finance Technology Network (GFTN) joins the panel to explore the untapped potential of this region, particularly focusing on Georgia's strategic role in the middle corridor.
Tune in at blockcast.blockhead.co or on Spotify , Apple , Amazon Music , or any major podcast platform.
Blockhead is a media partner for Consensus Hong Kong 2026. Readers can save 20% on tickets using exclusive code BLOCKDESK at this link .
