The race to capture the agentic economy's settlement layer is accelerating across two completely different financial stacks. On the TradFi side, Stripe and Cross River are now issuing bank-grade virtual cards for autonomous agents, even as crypto-native platforms like OKX, Coinbase, and Robinhood roll out competing on-chain infrastructure. We're watching a live land grab for the plumbing of machine-to-machine commerce.
We've been tracking the steady drumbeat of agentic payment rollouts from Visa, OKX, BNB Chain, and Robinhood over the past month. Now, the traditional finance side is escalating: a TechTimes report on Friday details a new collaboration between Cross River Bank and Stripe to issue bank-grade virtual cards specifically for AI agents, enabling autonomous spending. Alongside this, a new thirdweb analysis quantifies the parallel crypto-native surge, documenting how these platforms are deploying dedicated wallets, ERC-8004 on-chain identities, and payment protocols like x402.
Why it matters
This isn't just about new payment methods; it's a land grab for the fundamental settlement layer of the emerging agentic economy. The simultaneous push from both TradFi and crypto demonstrates a shared recognition that existing payment systems are ill-suited for the high-frequency, programmatic, 24/7 nature of autonomous agent transactions. For builders, this opens a massive new design space. The key question is which stack—regulated, bank-issued credentials or open, programmable crypto rails—will capture the bulk of machine-to-machine commerce. The outcome will have significant implications for everything from GTM strategies for AI services to the underlying utility of stablecoins and blockchains.
The TechTimes analysis argues that legacy payment systems face an 'existential threat' from agentic commerce, as they lack the real-time, micropayment, and programmable logic capabilities required. The piece suggests merchants will need to adapt to an 'Agent Experience' (AX) by making their catalogs machine-readable and supporting new payment protocols. The thirdweb blog post frames this as a 'massive opportunity for web3,' positing that blockchain is uniquely suited to provide the trustless, global, and identity-native infrastructure that autonomous agents require, moving far beyond human-centric use cases.
Animoca Brands is positioning blockchain as the essential infrastructure for the coming 'agentic economy,' predicting a future with 50 to 200 billion AI agents requiring on-chain wallets and identities by 2031. The company's strategy, detailed in a Crypto Briefing report on Friday, centers on its Animoca Minds platform, launched in February 2026. The platform allows non-technical users to deploy autonomous AI agents with built-in blockchain functionalities for digital identity and transactions. To accelerate this vision, Animoca has also initiated a $10 million Minds Investment Programme.
Why it matters
Animoca's strategy represents a significant bet that the future of AI is inextricably linked to web3 infrastructure. While others focus on agent capabilities, Animoca is focused on the rails they'll run on, arguing that verifiable identity, ownership, and transaction history are non-negotiable for a scalable and trustworthy machine economy. For builders, this frames the agentic future not just as an AI problem, but as a massive-scale web3 adoption event, creating opportunities to build the core services—identity, reputation, payments—for a client base of billions of non-human actors.
Animoca Brands co-founder Yat Siu stated, 'AI agents will need to prove who they are, what they own, and what they have done... blockchain is the only way to do this in a trust-minimized and scalable way.' The article contrasts this with more centralized approaches to agent identity, suggesting that a decentralized model is better suited for an open ecosystem of interacting agents from different providers.
Following yesterday's Fastly analysis mapping competing agentic commerce protocols like ACP, UCP, and Visa's TAP, Airwallex has released a comprehensive architectural guide for implementing them. The framework breaks down 'agentic payments' into three necessary layers: an 'intent layer' for user-defined rules, a 'control layer' for real-time enforcement, and a 'settlement layer' for execution.
Why it matters
This framework moves the conversation about agentic commerce from abstract potential to concrete architecture. The emergence of competing protocols signals that the industry is trying to solve the 'last mile' problem for AI transactions: standardization. For founders and GTM strategists, this is a critical development. The protocol that wins will dictate how products and services must be structured to be 'agent-buyable.' A recent Checkout.com survey mentioned in the piece underscores the stakes: 25% of consumers would abandon an agent after a single instance of dispute friction, proving that trust and accountability are the primary bottlenecks, not agent capability.
The guide emphasizes that agentic payments represent a 'fundamental shift from human-initiated transactions to machine-initiated decisions.' This poses a structural challenge to existing fraud and compliance systems, which are built around human behavior patterns. The article posits that the winning protocols will be those that best integrate verifiable identity, granular user controls, and seamless dispute resolution.
The consensus that AI governance is fundamentally a non-human identity (NHI) problem is cementing. Joining the chorus, Entrust CIO Rishi Kaushal published a piece on Saturday arguing that AI agents must be treated as a new 'first-class identity,' entirely distinct from human or traditional machine identities. He calls for per-agent credentials, short-lived tokens, detailed audit trails, and immediate 'kill switches' to govern them, reinforcing warnings about 'agent sprawl' and the 'intent problem' where autonomous agents drift from their original tasks.
Why it matters
This marks a critical consensus moment: the problem of governing AI agents is officially an identity and access management (IAM) discipline. Existing zero-trust programs, which are architected around human users and predictable service accounts, are structurally inadequate for managing autonomous agents that can reason and chain together complex actions. For any organization deploying agents, this requires a fundamental security overhaul. The immediate need is for new platforms and standards that can manage agent lifecycles, enforce runtime policies, and provide immutable audit trails to ensure accountability, especially in regulated or critical B2B workflows.
Rishi Kaushal of Entrust warns that without this shift, companies face 'an explosion of unmanaged, high-privilege identities.' An analysis by Mindcore on Thursday elaborates on the 'intent problem,' where the original purpose of an agent's task can 'drift' through multi-agent handoffs, making static permissions useless. A GovInfoSecurity piece on Saturday ties this directly to compliance, noting that agents need the same level of auditable oversight as human employees.
A series of partnerships announced Friday is accelerating the interoperability of digital identity wallets, with Google's platform playing a central role. Authologic is integrating Google Wallet credentials, Signicat is partnering with TrustTech on reusable identity, and OneID is also tying into Google's infrastructure. According to Biometric Update, this rapid consolidation is enabling smoother user experiences for things like age verification. However, critics are simultaneously warning that this growing reliance on a private tech giant's safety services for core identity functions—including for forthcoming European Digital Identity Wallets (EUDI)—creates a significant dependency risk.
Why it matters
The architecture for digital identity is being built today, and it appears to be centralizing around Big Tech infrastructure, even for government-mandated systems like the EUDI. While this may accelerate adoption and improve user experience in the short term, it raises profound questions about governance, data sovereignty, and censorship resistance. For builders in the decentralized identity space, this is a direct challenge: the convenience of centralized platforms is proving a powerful force. The outcome of this tension will determine whether the future of digital identity is an open ecosystem or a series of walled gardens controlled by a few dominant players.
A report on Friday from the University of Warwick and the Alan Turing Institute argues that the primary blocker to digital ID interoperability isn't technology, but a lack of institutional governance and assurance frameworks. Biometric Update notes the paradox: while Google's infrastructure provides robust security, it also means a private US company could become a single point of failure or control for Europe's public digital identity system.
Two new initiatives were launched Friday to build out the trust and governance infrastructure for AI agents. UK-based Nuggets released 'langchain-nuggets,' an open-source package designed to enforce authority on agent actions by cryptographically verifying permissions for every step in a workflow. Concurrently, Innovation Labs, the company behind the DNSid agent 'birth certificate' system, has formed a new advisory council. The council's goal is to develop open standards for agentic AI trust and accountability.
Why it matters
These releases represent a crucial shift from proprietary, black-box governance solutions to open-source tools and open standards. This is a positive development for the agentic ecosystem, as it fosters interoperability and allows builders to bake auditable accountability directly into their agentic systems rather than bolting on a third-party service. For founders, these tools provide a practical starting point for addressing the enterprise need for verifiable identity and deterministic control over agent actions, which remains a key blocker to adoption.
A report from Biometric Update frames these developments as 'essential for managing the risks of autonomous AI, especially in regulated industries.' The langchain-nuggets package specifically focuses on providing a cryptographic 'proof of consent' for each action, creating an auditable chain of authority. The DNSid advisory council aims to establish a broader 'trust framework' for the entire agent lifecycle.
Following Visa's earlier rollouts of tokenized transactions for LLMs, the payments giant announced Friday the successful completion of a live, end-to-end payment transaction driven by an AI agent in Germany. Partnering with Worldline and ING, the pilot demonstrated that agentic commerce can operate within the existing European banking framework. The transaction used Visa Payment Passkeys and biometric authentication to comply with the EU's Strong Customer Authentication (SCA) requirements, keeping the human user in control of the final purchase.
Why it matters
This is a critical proof point for the viability of agentic commerce in a regulated environment. It shows that you don't necessarily need to build entirely new, exotic payment rails for agents to transact; they can be integrated into the existing, regulated financial system. The key, as the pilot demonstrates, is maintaining a clear audit trail and robust, user-controlled authentication at the point of purchase. This approach significantly de-risks the adoption path for enterprises and merchants, as it leverages infrastructure and rules they already understand.
FinanceFeeds noted the importance of the transaction being 'compliant by design.' Visa emphasized that the consumer 'remains in full control,' using their biometrics to approve the agent-prepared shopping cart. Worldline highlighted that the pilot proves AI agents can become 'trusted economic actors without overhauling existing regulatory perimeters.'
The 'Know Your Agent' (KYA) standard we've been tracking is now being baked directly into crypto settlement layers. Billions Network, a decentralized identity provider, announced a partnership on Friday with USDT settlement platform Stable.xyz to combine payment infrastructure with Billions' zero-knowledge KYA protocol. The protocol is designed to link every transacting AI agent back to a KYC-compliant human or legal entity.
Why it matters
This partnership directly tackles the trust deficit that hampers agentic commerce. While many are focused on agent capabilities or payment rails, this effort addresses the more fundamental problem of accountability. By embedding verifiable identity at the payment layer, the collaboration aims to create a system where autonomous transactions are auditable and tied to a real-world entity. This is a prerequisite for any meaningful enterprise or institutional adoption of agentic AI, as it provides a mechanism for recourse and compliance.
According to Crypto-Economy, the integration allows AI agents to 'execute payments autonomously with enhanced trust.' The Billions Network team stated their goal is to provide the 'critical missing piece' for the agentic economy, ensuring that 'every agent has a verified and accountable principal.'
The shift toward 'Answer Engine Optimization' (AEO) that we've been covering has hit a tipping point in the B2B buying journey, creating an 'agentic dark funnel.' According to new analyses from Abmatic AI and G2 on Friday, over 51% of B2B software buyers now start their research in a chatbot like ChatGPT or Perplexity instead of search engines or vendor websites. This means shortlists are often formed before a buyer ever visits a company's site, breaking traditional models for intent data, attribution, and lead scoring.
Why it matters
This is a fundamental rewrite of the top of the B2B funnel. If your prospects are forming opinions and shortlists inside a chatbot, your website content and SEO are becoming late-stage validation tools, not discovery engines. For GTM strategy, this forces a pivot from optimizing for discoverability (SEO) to optimizing for recommendation (Generative Engine Optimization or GEO). The new game is to ensure your product is cited and recommended by AI, which relies on a different set of signals: structured data, third-party validation from review sites, and a high density of mentions in relevant, high-quality content that the models use for training.
An Abmatic AI analysis states this shift 'compresses the visible sales funnel,' as buyers show up later and with pre-formed opinions. G2's research concludes that 'being named by an AI is the new winning,' and that reviews are the 'crucial trust layer' AIs read. A CIOInfluence article from Friday provides data from Arobis AI showing a significant disconnect between a brand's Google ranking and its recommendation frequency by AI, confirming that different optimization strategies are required.
A new playbook from UnifyGTM published Friday details how to build cold email campaigns around specific, real-time buying signals, moving away from static list-based outreach. The framework identifies six key signals: website intent data, product usage changes, job changes, G2/competitor research, funding announcements, and internal champion moves. For each signal, it provides strategies for tailoring messaging and cadence, claiming that such signal-triggered sequences can achieve reply rates of 5-20%, a significant jump from the 3-4% industry average for generic cold email.
Why it matters
In a world where AI-generated outreach is driving reply rates to near-zero, relevance and timing are the only remaining levers. This framework provides a concrete, actionable playbook for early-stage companies to do exactly that. Instead of guessing or blasting, it shifts the GTM motion to be responsive to observable prospect behavior. For founders leading sales, this is a direct method to improve the efficiency and effectiveness of their outbound efforts by focusing resources only on accounts that have demonstrated active intent.
The author stresses that the key is 'combining timing and relevance,' arguing that a message sent at the precise moment a prospect is researching a problem is exponentially more effective. The framework also details the tech stack required to capture and act on these signals, including tools like UserGems for job changes and Bombora for intent data.
As part of the structural decentralization following the Ethereum Foundation's recent restructuring and the launch of EthLabs, a new independent non-profit called 'Ethereum Institutional' has officially launched. Backed by the same consortium of corporate ETH holders including Bitmine Immersion Technologies, Sharplink, and co-founder Joe Lubin, the group serves as a dedicated entry point for financial institutions. It aims to provide a 'credible, independent front door' for banks and asset managers exploring tokenization and stablecoins.
Why it matters
This is a significant formalization of Ethereum's institutional strategy. By spinning out commercial and business development functions from the neutral Ethereum Foundation, the ecosystem gets a dedicated entity that can speak the language of Wall Street and navigate its specific requirements without compromising protocol neutrality. This directly addresses one of the core tensions in Ethereum's growth: how to court institutional capital without succumbing to capture. The success of this new organization will be a key indicator of Ethereum's ability to merge into the broader financial economy on its own terms.
Joseph Chalom, co-CEO of Sharplink, a key backer, argued separately on Friday that institutional allocators prioritize Ethereum's decentralization and neutrality over the speed of rivals like Solana. The Ethereum Foundation also released a new guide this week pitching Ethereum as neutral digital rails for public-sector and institutional systems, reinforcing this separation of concerns.
A new warning from the International Monetary Fund (IMF) highlights a systemic risk in asset tokenization: the elimination of traditional settlement buffers could cause market shocks to propagate almost instantaneously. In a report discussed on Friday, the IMF proposes treating critical smart contracts as 'Systemically Important Financial Institutions' (SIFIs). To manage this risk, they advocate for 'Programmable Compliance' via 'Hybrid Smart Contracts' that combine decentralized logic with regulated governance layers, enabling features like emergency shutdowns or forced upgrades.
Why it matters
This signals a major shift in how global financial regulators are thinking about blockchain. They're moving past simply trying to fit crypto into old boxes and are now proposing new, protocol-native forms of oversight. The concept of 'Programmable Compliance' and 'Hybrid Smart Contracts' is a direct intervention into the code-is-law ethos. For Ethereum's convergence into the broader economy, this is a pivotal moment. It suggests the price of institutional adoption will be the integration of regulatory 'backdoors' or governance hooks directly into financial protocols, a move that will surely ignite fierce debate within the ecosystem.
The IMF's proposal suggests a future where DeFi protocols operating in regulated markets may need to build in specific functions to allow for external intervention by regulators. This contrasts sharply with the core DeFi principles of immutability and censorship resistance, setting up a potential clash between institutional-friendly protocols and 'real DeFi.'
Elias Torres, a co-founder of the marketing automation platform Drift, which was acquired for a reported $1.2 billion, now describes the exit as his 'biggest failure.' In a reflection published Friday, he cited losing control of the company and the subsequent dismantling of the product and team he had built. Torres is now building a new AI company, Agency, with the goal of reaching $1 billion in revenue with fewer than 100 employees, focusing on extreme capital efficiency and a high-agency team.
Why it matters
This is a powerful counter-narrative to the standard Silicon Valley success story of 'exit at all costs.' Torres's experience highlights the often-overlooked cost of giving up control and the potential for a financially successful outcome to be a strategic and personal failure. His new venture embodies the 'second great compression of entrepreneurship' thesis, leveraging AI to build a highly valuable company with a radically lean team. For founders, it's a structural lesson in defining success on their own terms and a case study in the new, AI-native model of company building.
Torres emphasizes that his new company prioritizes customer value and building an enduring product over a quick exit. 'We are optimizing for freedom and impact, not headcount,' he states in the article. The piece frames his approach as a direct reaction to the scaling pains and loss of culture he experienced at Drift post-acquisition.
An analysis on dev.to from Friday argues that the primary purpose of a Minimum Viable Product (MVP) is not to prove technical feasibility, but to generate clear signals that de-risk a startup's most critical assumptions. The author contends that many MVPs fail because they are designed as feature-light versions of a final product, rather than as targeted experiments to answer specific questions about user behavior, willingness to pay, or market demand. The framework advocates for defining the necessary signals first, then building the simplest possible product to elicit them.
Why it matters
This is a crucial reframing for any founder in the $0-10M stage. It shifts the focus of early product development from 'building' to 'learning.' By treating an MVP as a signal-generating engine, founders can allocate scarce resources more effectively, avoid premature scaling, and gain real evidence for or against their core hypotheses. This discipline is essential for finding product-market fit efficiently and for making a convincing, data-backed case to early hires and investors.
The author provides a litmus test: 'Can you articulate the single riskiest question your MVP is designed to answer?' They argue that if the answer is 'to see if people will use it,' the MVP is poorly designed. Instead, it should be something specific, like 'Will customers in this niche connect their accounting software within the first 24 hours?' or 'Are users willing to manually upload a CSV to get this specific output?'
The prediction market crackdown in Europe is escalating from the joint declaration we saw last month to formal, continent-wide classification. Europe's top financial regulator, the European Securities and Markets Authority (ESMA), issued a significant warning on Friday stating that many prediction market contracts could fall under the EU's existing, restrictive rules for binary options. This means platforms like Polymarket cannot simply rebrand their offerings as 'event contracts' to avoid financial regulations, and will instead be forced to classify each contract under MiFID II rules.
Why it matters
This is a major regulatory blow for prediction markets hoping to expand in Europe. By applying the stringent binary options framework, ESMA is dramatically raising the barrier to entry and effectively shutting the door on many retail-facing products. This move forces a stark choice on platforms: either undergo the costly and complex process of becoming a fully regulated financial entity or operate solely as a gambling product under varied and often prohibitive national laws. This creates significant legal uncertainty and is likely to stifle innovation and access in the European market.
A report in Finance Magnates notes this 'raises the regulatory bar for prediction markets in Europe' and adds a new layer of complexity to national gambling laws. CoinGape reports that the move was prompted by national regulators who were concerned about firms trying to circumvent existing rules. FinanceFeeds clarifies that even for professional clients, platforms would need to seek MiFID II authorization, a lengthy and expensive process.
We've been covering the House Oversight Committee's probe into Polymarket's KYC and geo-restrictions, and a new report from blockchain analytics firm Allium puts hard numbers on the compliance failure. Released Friday, the data shows that despite a formal geoblock, traders with U.S.-linked wallets have become the largest single group on Polymarket's political markets, trading approximately $571 million. The data confirms many U.S. users successfully circumvented the restrictions using VPNs, concentrating their volume on geopolitical event markets.
Why it matters
This data provides hard evidence that regulatory geoblocking is largely ineffective for determined users on decentralized or pseudo-decentralized platforms. It presents a policy dilemma for regulators: attempting to enforce an outright ban simply pushes activity into less-regulated, offshore venues where there is zero oversight. The alternative is to create a regulated path for this activity onshore, which is the path Kalshi has taken. This report strengthens the argument that the current U.S. strategy of prohibition is failing.
CryptoTimes highlights the finding that US users are the largest national group by trading volume. The Coin Republic adds that this evidence may fuel the ongoing debate in Washington about how to handle prediction markets, potentially pushing lawmakers toward creating a clearer federal framework rather than continuing with state-by-state battles and ineffective bans.
Substack is rolling out a native sponsorship program, hiring a head of brand sponsorships to build out the framework. The move, intended to provide writers with another monetization channel, has sparked a debate within its creator community, as detailed in a widely circulated post on Friday. Critics, like author Jared Henderson, argue that introducing ad-based models will inevitably erode the trust-based, direct-to-audience relationship that makes Substack unique, potentially leading to a decline in content quality as writers optimize for advertiser appeal over reader value.
Why it matters
This is a pivotal moment for Substack and a case study in the core tension of the creator economy: the conflict between scaling revenue and maintaining platform integrity. For years, Substack's primary monetization lever was direct reader payment, which aligns writer and reader incentives. Introducing sponsorships inserts a third party—the advertiser—into that relationship. For builders on the platform, this raises critical questions about the future direction of the ecosystem and whether the pursuit of ad revenue will dilute the platform's core value proposition as a haven from the algorithm- and ad-driven dynamics of other social platforms.
In a Substack post, Jared Henderson warns this could lead to 'the same slop that has consumed YouTube and other ad-driven platforms.' Proponents of the move argue it provides a necessary revenue diversification for creators who may not be able to rely solely on paid subscriptions, particularly those with large but less monetarily committed audiences.
An explainer from Crypto.news on Friday details the mechanics of zkTLS, or 'web proofs,' a technology that allows a user to cryptographically prove specific facts from a standard HTTPS web session without revealing the underlying private data. For example, a user could prove their bank balance is over a certain threshold or that they hold a specific loyalty status without sharing their account details. The technology has evolved from a research curiosity in 2013 to a piece of production-ready infrastructure in 2026.
Why it matters
zkTLS is a breakthrough for bridging off-chain data with on-chain systems in a privacy-preserving way. It solves a long-standing problem for Web3: how to use real-world, private data (like income, credit history, or credentials) as an input for smart contracts without compromising user privacy. This enables a host of new applications, from undercollateralized lending in DeFi (by proving creditworthiness without revealing financial statements) to building portable, verifiable reputation systems for AI agents or human users. It's a critical piece of trust infrastructure for a more private and interoperable web.
The article positions zkTLS as a key enabler for 'agent accountability, credentialing, and commerce.' It highlights its potential to unlock 'reputation portability,' allowing users to carry proofs of their status or achievements across different platforms without needing centralized intermediaries. Bitget notes that this technology is particularly powerful because it works with existing web standards (HTTPS/TLS), requiring no changes from the data source's end.
The Machine Economy Gets Its Payment Rails A wave of announcements from both traditional finance and crypto-native platforms signals a race to build the payment infrastructure for autonomous AI agents. Stripe and Cross River Bank are collaborating on bank-grade virtual cards for agents, while a thirdweb analysis highlights a flurry of agent-focused infrastructure from Coinbase, OKX, BNB Chain, and Robinhood over the past month. This parallel development suggests the agentic economy's settlement layer is being built simultaneously on both legacy and crypto rails.
AI Agents Emerge as a First-Class Identity Security Problem The rapid proliferation of AI agents is forcing a consensus in the security industry: agents must be treated as a new, distinct class of identity. Entrust's CIO argues for 'first-class identity' status with dedicated credentials and audit trails. This is echoed by analyses highlighting the 'intent problem' of hybrid identities and the need for new runtime governance, as enterprises struggle to manage the security risks of 'agent sprawl' using frameworks designed for humans.
The 'Agentic Dark Funnel' Reshapes B2B Go-to-Market Multiple analyses this week confirm that B2B buying journeys are shifting into an 'agentic dark funnel,' where research happens inside AI chatbots before a prospect ever visits a company's website. This trend, which sees over half of B2B buyers starting with AI, is breaking traditional lead scoring and attribution. The new GTM playbook requires a pivot to 'Generative Engine Optimization' (GEO), focusing on earning recommendations from AI by building a corpus of third-party validation and structured data.
Prediction Markets Face a Two-Front War of Regulation and Integrity Prediction markets are caught between escalating regulatory pressure and a severe internal integrity crisis. While European regulators are moving to classify event contracts under restrictive binary options rules, a Wall Street Journal investigation alleges Polymarket paid influencers to fake winning bets. This is compounded by new data showing US users dominate trading on the platform despite a geoblock, highlighting the ineffectiveness of current enforcement measures and fueling calls for stricter oversight.
Venture Capital Concentration Intensifies Globally New H1 2026 data confirms an extreme concentration of venture capital, with a record $510 billion raised globally but with over 70% of Q2 capital flowing to AI companies and 43% of H1 funding going to just OpenAI and Anthropic. This 'top-heavy' pattern is mirrored in regional markets like France, where early-stage dealmaking has collapsed while mega-rounds inflate totals. The trend suggests a difficult fundraising environment for startups outside of a few hyper-consensus sectors.
What to Expect
2026-07-15—DEOD.AI, an infrastructure platform for creating and verifying autonomous AI agents, is scheduled to launch.
2026-07-15—DEOD AI (from Decentrawood) is set to launch its platform for creating, verifying, and monetizing autonomous AI agents.
2026-09-14—The Longevity Investors Conference 2026 begins in Gstaad, Switzerland, bringing together researchers and investors in the longevity space.
2026-11-01—Construction is scheduled to complete on a new kindergarten in Prague's AFI City development, part of a broader infrastructure trend in the city.
2030-12-31—Juniper Research projects digital identity verification checks will reach 175 billion annually, driven by AI-powered fraud.
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