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Backpack Opens Waitlist for its New “IPOs Onchain” product.

By
Paul Ugbede Godwin
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0

Backpack, the Solana-based crypto exchange and wallet founded by ex-FTX/Alameda team members, recently opened a waitlist for its new “IPOs Onchain” product.

This allows eligible users to access official IPO share allocations on-chain before shares hit public markets, providing direct equity ownership (tokenized on Solana) with features like potential dividends and real stock rights.

Early sign-ups get priority for the first IPO offerings, and Backpack uses waitlist demand as a signal to attract issuers during roadshows. This ties into broader token utility: Backpack previously announced that users staking their upcoming Backpack token for at least one year can swap it for equity representing 20% of the company at a fixed ratio, ahead of potential IPO plans.

The on-chain IPO access is positioned as an early 2026 rollout for token holders and active users. Community reactions on X highlight excitement about democratizing IPO access (no traditional gatekeepers) and real equity on-chain, with some calling it a game-changer for compliant tokenized assets.

This builds on Backpack’s push toward deeper integration of traditional finance with crypto, potentially boosting token value through utility and community alignment. Details on specific upcoming IPOs or exact allocation criteria are still emerging.

Superstate is a blockchain-based financial technology firm specializing in the tokenization of traditional financial assets, founded by Robert Leshner (the co-founder of Compound, a major DeFi protocol). The company focuses on bridging Wall Street with crypto capital markets by bringing real-world assets (RWAs) — such as equities, funds, and potentially other securities — on-chain in a compliant, regulated manner.

Superstate acts as the infrastructure provider and enabler for issuing and managing tokenized versions of traditional assets directly on blockchains like Ethereum and Solana. This means: Creating native tokenized shares that represent direct legal ownership not just synthetic derivatives or price trackers.

Handling regulatory compliance, including working with registered transfer agents, SEC-registered structures, and qualified purchasers. Maintaining official shareholder registries on-chain while ensuring features like potential dividends, voting rights, and settlement efficiency.

They emphasize pragmatic, regulation-respectful innovation to modernize capital markets, reduce intermediaries, enable faster settlement, and expand global access especially for non-U.S. users in many cases. Tokenized funds like USTB (short-duration U.S. Treasuries) and USCC, which have brought billions in traditional capital on-chain; tokenized treasuries exceeding significant AUM figures in reports.

Opening Bell, their platform for tokenized public equities and direct stock issuance. This allows companies to issue SEC-registered shares natively on-chain, supporting both existing public stocks and new issuances like IPOs.

Specific Role in the Backpack Partnership

In the context of Backpack’s “IPOs Onchain” waitlist, Superstate serves as the key infrastructure partner: Backpack handles the user-facing marketplace and access. Superstate empowers issuers (companies going public) to bring shares on-chain through Opening Bell.

This setup delivers real IPO share allocations as tokenized assets on Solana, giving eligible users direct equity ownership with potential perks like dividends and rights — before shares hit traditional public markets. The partnership builds on prior integrations where Backpack users could trade Superstate-tokenized stocks, positioning it as a compliant bridge between TradFi IPO processes and crypto-native users.

This collaboration aims to democratize IPO access (reducing reliance on institutional gatekeepers), use blockchain for transparent/ efficient distribution, and signal demand to attract more issuers. Superstate’s involvement ensures the tokenized shares are compliant and represent genuine ownership, not wrappers.

Superstate’s tokenization role is foundational in this emerging “on-chain public markets” space — turning illiquid or restricted TradFi assets into composable, accessible blockchain-native ones while prioritizing legal and regulatory soundness.

Nigeria’s Capital Market: The Biggest Business Opportunity of the Next Decade | March 7, 2pm WAT

By
Ndubuisi Ekekwe
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0

“Since … April 2024, we have seen market capitalisation grow from about N55 trillion to over N123.93 trillion. [Capital market] contribution to GDP has moved from 13 percent to 33 percent.” – Dr. Emomotimi Agama, the Director General, Securities and Exchange Commission (SEC) Nigeria

Join me this Saturday in TEKEDIA OPEN Open as we discuss Nigeria’s capital market. In this TEKEDIA OPEN session, we will explore why the coming decade will become Nigeria’s Decade of the Capital Market, and what businesses, investors, and institutions must do to unlock that value and win. You’re invited.

Topic: Nigeria’s Capital Market: The Biggest Business Opportunity of the Next Decade — How to Unlock Value and Win

Speaker: Prof Ndubuisi Ekekwe

Date: Saturday, March 7, 2026

Time: 2-3pm WAT

Location: Zoom link 

South Korea’s KOSPI Index Experienced a Severe Plunge

By
Paul Ugbede Godwin
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0

The South Korean stock market (KOSPI index) experienced a severe plunge on March 4, 2026, closing down approximately 12.06% at 5,093.54 after intraday drops reaching as much as 12.65%.

This marks the largest single-day percentage decline in the KOSPI’s history since its inception in 1980, surpassing previous records like the post-9/11 drop in 2001 around 12.02% and recent sharp falls (e.g., 8.77% in August 2024). This followed a already steep 7.24% drop on March 3 (Tuesday), when the index closed at 5,791.91 after reopening from a holiday.

The two-day rout has erased massive value—over 817 trillion won roughly $550–$554 billion in market capitalization—and triggered circuit breakers multiple times, including a temporary trading halt after an 8%+ intraday slide today.

Key drivers include escalating geopolitical tensions from the US-Israel-Iran conflict with reports of Iranian retaliatory strikes impacting Gulf regions, which has driven oil prices sharply higher; Brent nearing $85/barrel in related reports, raising energy shock fears.

South Korea, a major oil importer and home to chip giants like Samsung Electronics and SK Hynix which fell 10–12% each, is particularly vulnerable to energy cost spikes, inflation risks, and global risk-off sentiment. This has hit tech-heavy holdings hard, with forced selling, margin calls, and foreign fund outflows exacerbating the decline.

The Korean won also weakened significantly, hitting multi-year lows amid the turmoil. Regarding Dubai equities (Dubai Financial Market/DFM and Abu Dhabi Securities Exchange), markets there reopened yesterday after a two-day suspension ordered by regulators due to Iranian missile/drone strikes on UAE targets including airports and ports.

Gulf markets that traded earlier saw sharp falls; Saudi Arabia -4%+ at open in prior sessions, and Dubai opened lower amid the regional fallout and oil supply disruption fears in the Persian Gulf.

This appears part of broader global market pressure, with Asian indices; Nikkei -3–4%, Taiwan -4%+ and spillovers to Wall Street reflecting energy and inflation worries potentially delaying rate cuts and raising recession risks. Authorities in South Korea have noted excessive volatility and may intervene to stabilize.

Samsung Electronics has been one of the hardest-hit stocks in the ongoing South Korean market rout, directly reflecting its outsized weight in the KOSPI index (as a major bellwether in semiconductors and consumer electronics) and South Korea’s extreme vulnerability to energy shocks from the escalating US-Israel-Iran conflict.

Samsung Electronics closed down 11.74% at 172,200 KRW approximately $117 USD, based on exchange rates around that time. This followed a sharp 9.88% decline on March 3 closing at 195,100 KRW, marking a brutal two-day drop of over 20% from its recent peak around 216,500–223,000 KRW in late February.

Intraday, it traded as low as 171,900 KRW and opened around 184,200 KRW, with high volume exceeding 89–92 million shares traded amid panic selling. This outperformed the broader KOSPI’s 12.06% plunge slightly in percentage terms on the day but contributed heavily to the index’s record fall due to its massive market cap weighting.

South Korea imports ~70% of its crude oil from the Middle East, making it highly exposed to disruptions in the Persian Gulf. Oil prices have surged, raising inflation risks, input costs for manufacturing and energy-intensive operations, and broader economic slowdown concerns. Higher energy prices erode corporate margins and delay anticipated rate cuts globally, hitting growth-sensitive tech stocks hardest.

The KOSPI’s earlier 2026 rally up significantly YTD, driven by AI and semiconductor enthusiasm led to overcrowded positions, high margin debt, and leveraged retail and foreign investor exposure. The sudden risk-off triggered margin calls, algorithmic selling, and foreign outflows, amplifying declines in heavyweights like Samsung. Only a handful of stocks closed higher market-wide.

As the world’s leading memory chip producer benefiting from AI demand earlier, Samsung faces amplified volatility. Rising costs could squeeze profitability in chips, displays, and consumer electronics. Additional news of delays in its US Texas foundry mass production compounded sentiment, widening gaps vs. competitors like TSMC.

The won weakened to multi-year lows breaching 1,500 vs. USD in some reports, increasing imported cost pressures for a dollar-denominated input-heavy company. Despite the carnage, Samsung remains fundamentally strong in AI and memory demand, though this event has unwound much of its 2026 gains.

Authorities may intervene via stabilization funds, and any de-escalation in the Middle East could spark a rebound. However, prolonged conflict risks sustained inflation and energy headwinds for Korea Inc. This has been a classic risk-off capitulation in an energy-vulnerable, tech-concentrated market—Samsung bore the brunt as both a symbol and driver of the selloff. Monitor oil trajectories and conflict updates closely for near-term direction.

Agentic Web Represents the Emerging Evolution of the Internet

By
Paul Ugbede Godwin
-
0

The Agentic Web represents the emerging evolution of the internet, where autonomous AI agents—powered by advanced large language models and capable of planning, reasoning, decision-making, and taking actions—act on behalf of users across digital ecosystems.

Unlike the traditional web; read-only or interactive via human clicks, or even the social and algorithmic web, the Agentic Web shifts toward a dynamic, goal-oriented layer: agents discover information, execute transactions, coordinate with other agents, and create outputs with minimal ongoing human input.

This concept has gained significant traction in 2025–2026, as AI moves from passive assistance; chatbots, generative responses to proactive agency. Key protocols like OpenAI/Stripe’s Agentic Commerce Protocol (ACP), Google’s Universal Commerce Protocol (UCP), and interoperability standards are laying the infrastructure for agents to seamlessly interact with websites, services, and each other.

The Agentic Web can be framed around three core pillars: Discovery, Commerce, and Creation. These shifts are already reshaping how we interact online, with AI handling intent-based tasks rather than keyword searches or manual navigation.

From Search to Intent Understanding

In the traditional web, discovery relies on users typing queries into search engines, browsing results, and clicking through sites. The Agentic Web flips this: users express high-level goals, and agents proactively research, compare options across sources, synthesize insights, and surface personalized recommendations—often without the user visiting multiple pages.

Agents pull from structured, machine-readable data; enhanced schemas, product feeds, APIs.
Platforms like Perplexity, Google Gemini, ChatGPT, and emerging agent interfaces drive this, reducing “zero-click” reliance on brand sites for routine needs. Businesses must optimize for agent readability: rich structured data, clear APIs, and protocols that make content easily interpretable and trustworthy.

This phase is well underway in 2026, with AI influencing a growing share of product evaluations and decisions. Agentic commerce is the most visible and rapidly advancing aspect today. AI agents handle the full shopping journey—discovery, comparison, negotiation (where applicable), cart building, checkout, and even post-purchase tasks—autonomously or semi-autonomously.

Examples include agents completing purchases via protocols like ACP for instant, programmatic checkouts or UCP for end-to-end journeys including order management.
Stripe and OpenAI integrations, Google Pay in agentic flows, Shopify’s agent-ready tools, and retailers adapting for “zero-click” sales.

Hyper-personalized, frictionless experiences; proactive suggestions; agent-to-agent negotiations or brand agents representing merchants. Merchants need agent-compatible backends to avoid losing visibility; friction in payments, trust, and verification is being addressed via shared tokens and standards.

Predictions for 2026 suggest many routine purchases bypass traditional sites entirely, with agents executing directly. The most transformative and still emerging pillar is creation. Agents don’t just find or buy—they generate, build, and iterate on content, products, code, designs, or experiences.

Users delegate goals like “Create a custom workout plan with video demos” or “Design a branded newsletter campaign”—agents orchestrate tools, pull assets, refine outputs, and deliver. This extends to collaborative workflows: agents as “coworkers” in creative processes, video editing, code generation, or even building digital twins/spatial experiences.

Infrastructure like agentic workflows, interoperable tools, and platforms; emerging from a16z discussions on agent-readable design enables this. Democratizes creation, shifts work toward agentic execution, and blurs lines between human and AI output. We’re transitioning from a human-centric web to one where AI agents are active participants—first-class digital citizens.

This creates massive opportunities (frictionless experiences, new business models) but also challenges (visibility for brands, trust/security in autonomous actions, interoperability). Businesses succeeding here will: Expose machine-readable, agent-friendly data and APIs. Adopt emerging protocols for commerce and coordination. Build or integrate their own agents to maintain control and brand voice.

The Agentic Web isn’t a distant future—it’s unfolding now, driven by rapid advances in agentic AI. Discovery is largely here, commerce is accelerating, and creation is the next frontier. The web is becoming something that acts for us, not just something we browse.

Artificial intelligence (AI) is profoundly reshaping e-commerce, moving beyond incremental improvements to fundamentally altering discovery, personalization, operations, and even transaction flows.

The sector has seen explosive adoption: the AI-enabled e-commerce market reached approximately $8.65 billion in 2025 and is projected to grow to $22.6 billion by 2032 at a ~14.6% according to CAGR. Meanwhile, 78-84% of organizations and retailers are using AI in at least one function, with 97% planning increased investment.

Key Ways AI is Transforming E-Commerce in 2026

Traditional search is declining as users turn to generative AI tools like ChatGPT, Gemini, Perplexity, and Claude for shopping queries. Gartner’s earlier forecast of a 25% drop in traditional search volume by 2026 has materialized in trends, with some reports now eyeing up to 50% loss by 2028 due to AI overviews and agents.

AI-driven traffic and referrals are surging—e.g., Shopify reports AI-driven traffic up 8x and orders up 15x since early 2025. Platforms are enabling “agentic commerce,” where AI agents handle research, comparison, negotiation, and even checkout without visiting retailer sites. This could drive $144 billion+ in AI platform-facilitated sales by 2029 ~8.8% of total retail e-commerce.

Hyper-Personalization and Recommendations

AI analyzes behavior, history, context, and even cultural factors for tailored experiences. This boosts engagement: personalization can lift conversion rates by up to 23% and revenue by 40% in some cases. Brands see 10-12% extra revenue from AI strategies overall.

Features like dynamic product pages, real-time summaries, and predictive suggestions are standard, reducing cart abandonment and increasing average order value. Shoppers increasingly use natural language queries (“Find me a sustainable winter jacket under $150 that matches my style”) in chat interfaces. AI agents act autonomously—researching, deciding, and purchasing.

In 2026, this collapses the traditional funnel: discovery, consideration, and transaction happen in one conversational flow. Voice commerce and AR try-ons enhanced by AI are maturing, especially in fashion and beauty. Demand forecasting and inventory: Reduces errors by up to 50% and costs by 10%.

Dynamic pricing: Real-time adjustments based on demand, competition, and user signals. Customer service: Autonomous chatbots and agents handle most inquiries, freeing humans for complex issues. Supply chain and fulfillment: AI optimizes logistics amid pressures like tariffs and network changes.

Conversion and Revenue Impact

AI-referred traffic often converts higher due to pre-qualified intent. While exact multiples vary, AI tools drive quicker decisions and better-qualified visitors. Overall e-commerce conversion rates edged up to ~3.34% in 2025, partly from AI enhancements.

Brands reliant on traditional organic search face disruption—AI summaries reduce clicks like CTR drops of 50-60% in some cases. Success requires Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO)—structuring content for AI citation for structured data, high-quality FAQs, reviews.

Trust and Ethics: Over half of consumers distrust AI summaries for impartiality, especially in final purchase stages. Transparency and brand reputation remain critical. Category Variations: Fashion and apparel sees strong AI uptake; some categories lag in agentic adoption.

Summarily, AI isn’t just enhancing e-commerce—it’s redefining it as predictive, conversational, and agent-driven. Retailers adapting with strong product data, AI visibility strategies, and seamless integrations thrive, while laggards risk losing share to AI intermediaries. The 2026 landscape favors those treating AI as core infrastructure rather than an add-on.

AI Agents Increasingly Expanding E-commerce with Projection at $22.6B

Artificial intelligence (AI) is profoundly reshaping e-commerce, moving beyond incremental improvements to fundamentally altering discovery, personalization, operations, and even transaction flows.

The sector has seen explosive adoption: the AI-enabled e-commerce market reached approximately $8.65 billion in 2025 and is projected to grow to $22.6 billion by 2032 at a ~14.6% according to CAGR. Meanwhile, 78-84% of organizations and retailers are using AI in at least one function, with 97% planning increased investment.

Key Ways AI is Transforming E-Commerce in 2026

Traditional search is declining as users turn to generative AI tools like ChatGPT, Gemini, Perplexity, and Claude for shopping queries. Gartner’s earlier forecast of a 25% drop in traditional search volume by 2026 has materialized in trends, with some reports now eyeing up to 50% loss by 2028 due to AI overviews and agents.

AI-driven traffic and referrals are surging—e.g., Shopify reports AI-driven traffic up 8x and orders up 15x since early 2025. Platforms are enabling “agentic commerce,” where AI agents handle research, comparison, negotiation, and even checkout without visiting retailer sites. This could drive $144 billion+ in AI platform-facilitated sales by 2029 ~8.8% of total retail e-commerce.

Hyper-Personalization and Recommendations

AI analyzes behavior, history, context, and even cultural factors for tailored experiences. This boosts engagement: personalization can lift conversion rates by up to 23% and revenue by 40% in some cases. Brands see 10-12% extra revenue from AI strategies overall.

Features like dynamic product pages, real-time summaries, and predictive suggestions are standard, reducing cart abandonment and increasing average order value. Shoppers increasingly use natural language queries (“Find me a sustainable winter jacket under $150 that matches my style”) in chat interfaces. AI agents act autonomously—researching, deciding, and purchasing.

In 2026, this collapses the traditional funnel: discovery, consideration, and transaction happen in one conversational flow. Voice commerce and AR try-ons enhanced by AI are maturing, especially in fashion and beauty. Demand forecasting and inventory: Reduces errors by up to 50% and costs by 10%.

Dynamic pricing: Real-time adjustments based on demand, competition, and user signals. Customer service: Autonomous chatbots and agents handle most inquiries, freeing humans for complex issues. Supply chain and fulfillment: AI optimizes logistics amid pressures like tariffs and network changes.

Conversion and Revenue Impact

AI-referred traffic often converts higher due to pre-qualified intent. While exact multiples vary, AI tools drive quicker decisions and better-qualified visitors. Overall e-commerce conversion rates edged up to ~3.34% in 2025, partly from AI enhancements.

Brands reliant on traditional organic search face disruption—AI summaries reduce clicks like CTR drops of 50-60% in some cases. Success requires Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO)—structuring content for AI citation for structured data, high-quality FAQs, reviews.

Trust and Ethics: Over half of consumers distrust AI summaries for impartiality, especially in final purchase stages. Transparency and brand reputation remain critical. Category Variations: Fashion and apparel sees strong AI uptake; some categories lag in agentic adoption.

Summarily, AI isn’t just enhancing e-commerce—it’s redefining it as predictive, conversational, and agent-driven. Retailers adapting with strong product data, AI visibility strategies, and seamless integrations thrive, while laggards risk losing share to AI intermediaries. The 2026 landscape favors those treating AI as core infrastructure rather than an add-on.

Verification Tiers Used by Binance, Coinbase, and Casino Operators in 2026

By
TI Partners
-
0

As the digital sector continues to evolve, service providers are forced to strengthen online security to protect themselves and their customers. Hence, verification is one of the most essential procedures in many industries. Identity checks are a mandatory aspect for preventing money laundering, data theft, and other fraudulent activities. In 2026, verification has gone beyond agreeing with the T&Cs. Whether a user registers for a cryptocurrency exchange or a gambling platform, they typically face the same compliance requirements.

Basic Account Registration

Signing up for the chosen platform is the primary step that users should take, whether they join Binance, Coinbase, or an online casino. As a rule, registration requires newcomers to enter their relevant personal information. Later on, they must confirm it with valid documents, so indicating unfair data isn’t the best choice.

Some gambling platforms allow skipping this stage: no-verification online casinos are gaining popularity among players, as the setup is simple. Still, gamblers may later be required to confirm their identities and ownership of their payment methods. At this entry tier, invisible mechanisms are working behind the scenes. Systems check public databases to analyse the potential risk level. This system is used across Binance, Coinbase, and online casinos, as it allows for identifying suspicious activities at an early stage.

Standard Identity Verification

This is the second tier of ID checks used by popular crypto exchanges and gambling operators. Here, users must confirm their identities by uploading government-issued documents. Using others’ IDs or uploading expired certificates is impossible, as the system immediately scans them and checks across databases. Binance, Coinbase, and online casinos rely on innovative tools to verify the validity of documents.

For example, they often use AI-powered OCR mechanisms. This technology scans the file instantly and extracts its necessary part to verify authenticity. At the same time, built-in fraud detection tools determine whether the document is fake or has been changed.

Biometric Authentication

Many platforms require users to complete biometric verification, which is especially popular when they register from their mobile devices. Potential members typically need to take a selfie or pass a quick live identity check that proves that no third parties are attempting to access their personal accounts.

In many cases, users cannot access all the platform’s features until they complete this tier, which also influences how crypto payments in UK gambling are handled under security requirements. On Binance and Coinbase, traders cannot proceed with any cryptocurrency operations. Similarly, online casino players may have limited functionality, like the inability to claim bonuses or withdraw funds after a win.

Proof of Address

This tier is important, as crypto and gambling regulations vary across regions. When users attempt to access the platform from restricted locations, the system may block them, which is why discussions around no ID verification gambling often focus on compliance requirements. Proof of address is required to confirm that members don’t break any laws. This verification step may also be launched for users who make large transactions, as both crypto exchanges and casinos comply with international AML policies.

Financial Verification and Proof of Income

Binance, Coinbase, and online casinos may ask users to upload documents that confirm their source of income. In this case, members should upload their utility bills and bank statements. Automatic AI-based technologies assess these documents to confirm their relevance. If anything suspicious is detected, the account may be temporarily blocked. Online casinos regularly use this tool to prevent overspending among players. In some jurisdictions, gambling operators are forced to evaluate customers’ affordability levels and set limitations based on these details.

Behavioural Analytics and Ongoing Tracking

After a user completes all the verification tiers mentioned above, they can use the chosen crypto exchange or online casino. Still, the system doesn’t stop monitoring their activities. Behavioural analytics is a critical step towards compliance with global KYC standards. AI technologies are integrated into Coinbase, Binance, and gambling platforms. Machine Learning algorithms analyse user actions and can instantly identify suspicious patterns.

Traders and casino players risk overspending, as both activities are risky. If the technology notices any anomalies in user behaviour, it may request them to complete a repeated verification across digital platforms, including crypto casinos. This system primarily aims to protect players from potential dangers and increase security levels. Moreover, ensuring the relevance of personal and banking details occasionally is significant for maintaining a transparent environment for all.

Final Insight

Verification tiers are a standard for both crypto exchanges and online casinos in 2026. These identity checks are the mandatory parts of the registration process. They typically include entering personal information and confirming its relevance by uploading valid documents. Biometric authentication is another common tool to verify users’ IDs.

AI-powered tools for instant analytics are also a basis for Binance, Coinbase, and gambling companies. Continuous behavioural monitoring using Machine Learning ensures compliance and helps prevent fraud. As technological advancement continues, more innovative and secure methods for quick verifications may be implemented in the future.

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