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China Unveils ‘Childbirth-Friendly Society’ Plan as Population Decline Threatens Long-Term Growth

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China has unveiled an ambitious strategy to create what it calls a “childbirth-friendly society” over the next five years, as policymakers confront a demographic slowdown that economists warn could reshape the country’s economic trajectory.

The proposal, outlined in an official government report released during the annual meeting of the National People’s Congress, lays out a sweeping set of social and financial policies aimed at reversing declining birth rates and stabilizing the country’s shrinking population.

For Beijing, the demographic challenge is no longer a distant concern. Population decline, rapid ageing, and a shrinking workforce are now central issues shaping the government’s long-term economic planning.

Authorities said the new strategy would focus on improving employment prospects, expanding access to education and healthcare, raising incomes, and strengthening social security in order to encourage couples to marry and have children. Officials also pledged to promote “positive attitudes toward marriage and childbearing,” while expanding housing support for families with children and improving population services nationwide.

The urgency of the policy shift reflects a stark demographic reality.

Official statistics released earlier this year showed that China’s population fell for the fourth consecutive year in 2025, while the birth rate dropped to its lowest level on record.

China’s population has been shrinking since 2022, marking a dramatic reversal for the world’s second-largest economy, which for decades relied on abundant labor to fuel industrial expansion and rapid economic growth. Demographers say the country’s fertility rate is now well below the replacement level of 2.1 births per woman, meaning the population will continue to shrink without sustained immigration or a significant rise in births.

For policymakers, the implications stretch far beyond demographics. A smaller population could weaken consumption, shrink the labor force, slow productivity gains, and place a growing strain on pension systems. The trend also complicates Beijing’s broader efforts to rebalance the economy toward domestic demand.

Massive financial support for families

To address the problem, the government is preparing a large-scale support programme aimed at reducing the financial burden of raising children. According to Reuters estimates, Beijing could spend around 180 billion yuan ($25.8 billion) this year on policies designed to boost births.

A key component of the initiative is a national child subsidy programme introduced last year, marking the first time the central government has offered direct financial support to families raising children across the country. Officials are also planning to eliminate medical costs associated with pregnancy beginning in 2026.

Under the new policy, women will face no out-of-pocket expenses during pregnancy, with all medical costs — including fertility treatments such as in vitro fertilization — fully reimbursed through the national health insurance system. Authorities say the move is designed to address one of the biggest barriers to childbirth: the rising cost of healthcare and fertility treatments. At the same time, the government will expand subsidized childcare services and continue implementing childcare subsidy systems across the country.

Pilot projects for affordable childcare facilities will also be expanded, particularly in urban areas where limited childcare options have discouraged many couples from having more children.

Tackling education costs and family pressure

Education costs have also become a major factor in China’s declining fertility rate. Many urban families cite the intense competition for schooling and the high cost of tutoring and education as reasons for limiting family size. The government report said China would refine policies on free preschool education and increase the number of places available in senior secondary schools.

Public spending on education will remain above 4% of GDP, officials said, signaling continued government investment in the sector. Improving education access is intended not only to reduce financial pressure on families but also to ease anxieties about children’s future opportunities.

The government also pledged to strengthen maternal healthcare and reproductive services. Officials said services for women during early pregnancy will be expanded, while reproductive health programmes will be improved nationwide. Efforts will also focus on improving screening and treatment for birth defects and enhancing medical services related to fertility and childbirth.

These measures aim to increase confidence among prospective parents while addressing health risks that may discourage couples from having children.

The rise of the “silver economy”

Even as Beijing works to increase birth rates, the government is simultaneously preparing for the reality of an ageing society. China’s population over the age of 60 is expected to grow rapidly in the coming decades, creating new economic and social challenges.

Officials said the government would promote the development of the so-called “silver economy,” referring to industries and services designed for older citizens. Policies will focus on expanding elderly care services, especially in rural areas where healthcare infrastructure is often limited.

Authorities will also introduce new financial services aimed at seniors, including pension finance, healthcare services, and wellness programmes.

The demographic shift is becoming an existential threat. By 2035, the number of people aged 60 and above in China is projected to reach around 400 million — roughly equivalent to the combined populations of the United States and Italy.

An ageing population presents serious fiscal and economic challenges. As more citizens retire, pension systems will face increasing pressure while the working-age population shrinks.

That imbalance could slow economic growth and reduce government revenue, making it harder to fund social services and infrastructure investments. In response, Beijing has already begun adjusting retirement policies.

The government recently increased retirement ages gradually, with men expected to retire at 63 instead of 60, and women at 58 instead of 55. The change is intended to keep more people in the workforce for longer and reduce pressure on pension funds.

However, economists say retirement reforms alone will not solve the demographic problem if birth rates remain low.

Long-term economic implications

China’s demographic transition is expected to have far-reaching implications for the global economy.

For decades, the country’s massive workforce supported its rise as the world’s manufacturing hub. A shrinking labor force could increase wage pressures and push companies to accelerate automation. It may also influence global supply chains, as manufacturers reassess production strategies in response to rising labor costs.

At the same time, slower population growth could weigh on consumer demand, affecting sectors ranging from housing to education and healthcare. Analysts say the government’s push for a “childbirth-friendly society” represents a recognition that demographic stability is now a central pillar of China’s economic strategy.

Yet reversing fertility trends may prove difficult.

Countries including Japan and South Korea have implemented generous pro-natalist policies for years with limited success, highlighting the complexity of changing social and economic behavior. Against that backdrop, the Chinese leadership now faces the challenge to balance short-term economic priorities with long-term demographic realities as it seeks to sustain growth in the decades ahead.

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

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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

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“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

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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

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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.