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China’s Streaming Giant Bets Big: 5 Risky Steps Toward AI-Made Films

China’s Streaming Giant Bets Big: 5 Risky Steps Toward AI-Made Films

China’s entertainment industry may be heading into its most radical transformation yet and it’s being driven by code, not cameras.

One of the country’s biggest streaming platforms, iQIYI, is now openly pushing toward a future where most of its films are created with artificial intelligence. Not assisted by AI. Created by it.

The idea sounds futuristic, but the strategy is already in motion.

Inside the company, new AI tools are being developed to handle everything from storytelling to visual production. Scripts, characters, scenes, tasks that once required entire creative teams-are increasingly being handed over to algorithms. The goal is simple: produce more content, faster, and at a fraction of the cost.

China Is Rewriting How Films Are Made

For streaming platforms, that promise is hard to ignore.

The business model of streaming has always depended on volume. More shows, more films, more reasons for users to stay subscribed. But traditional production is slow, expensive, and difficult to scale. AI changes that equation almost overnight.

Instead of months of production, content can be generated in significantly shorter cycles. Instead of large crews, smaller technical teams can manage output. In a market where competition is relentless, that kind of efficiency is not just attractive – it’s strategic.

China has already been testing the waters. AI-generated short dramas and micro-content have quietly exploded in popularity, flooding platforms with quick, algorithm-driven storytelling. Audiences didn’t reject it. In many cases, they consumed it at scale.

Now, the industry is taking the next step: turning those experiments into full-length films.

That’s where things get complicated.

Because while AI solves the problem of scale, it raises a different set of questions, ones the industry hasn’t fully answered yet. Who owns an AI-generated story? What happens to actors, writers, and directors when machines take over core creative roles? And perhaps most importantly, will audiences accept films that are built by systems rather than people?

There’s also a growing concern that speed could come at the cost of substance. When content becomes easier to produce, the risk isn’t just automation – it’s oversaturation. A flood of films that look polished but feel empty.

Still, momentum is clearly on AI’s side.

What’s happening in China rarely stays in China for long, especially in tech-driven industries. Streaming platforms globally are facing the same pressures: rising costs, constant demand, and shrinking attention spans. AI offers a solution that directly addresses all three.

Whether the rest of the world follows quickly or cautiously, one thing is becoming clear: filmmaking is no longer just a creative process. It’s becoming a technological one.

Source

Salesforce’s 2-Platform ChatGPT Pilot Signals Positive Shift Toward AI-Powered Commerce Channels

Salesforce’s 2-Platform ChatGPT Pilot Signals Positive Shift Toward AI-Powered Commerce Channels

Salesforce is taking a major step into the future of digital commerce, piloting an integration with ChatGPT that could redefine how products are discovered and sold online. The initiative highlights a broader industry shift toward AI-driven shopping experiences, where conversational interfaces are becoming new sales channels.

The pilot program, currently involving dozens of retailers, enables merchants using Salesforce Commerce Cloud to integrate their product catalogs directly into ChatGPT. This allows products to appear within AI-driven conversations, effectively turning ChatGPT into a discovery and potential transaction layer for e-commerce.

Brands such as Crocs and Pacsun are already participating in early tests, signaling strong interest from retailers looking to tap into emerging AI ecosystems. The integration focuses on “syndication,” ensuring that product listings are visible and accessible within AI platforms where consumers are increasingly spending time.

ChatGPT Integration Reshapes Digital Commerce Discovery

At its core, this move reflects the rise of “agentic commerce” a model where AI assistants guide users through the entire shopping journey, from discovery to purchase. Instead of browsing traditional websites, consumers can interact with AI tools, ask for recommendations, and potentially complete transactions within a single conversational flow.

Salesforce has indicated that its strategy extends beyond a single AI partner. The company is also exploring integrations with other large language models, including those from Anthropic and Google, aiming to create a flexible ecosystem where merchants can reach customers across multiple AI-driven platforms.

This aligns with broader developments in the industry, where AI is increasingly embedded into commerce infrastructure. Through initiatives like Agentforce Commerce, Salesforce is building capabilities that allow brands to connect product catalogs, pricing, and checkout systems directly into AI environments, enabling seamless in-chat purchasing experiences.

For retailers, this shift opens new opportunities but also introduces new challenges. Visibility in AI-generated results may become as critical as search engine rankings, forcing brands to rethink content strategies, product data optimization, and digital merchandising.

Despite being in the early stages, Salesforce’s pilot signals a clear direction for the future of commerce. As AI platforms evolve into transactional environments, the traditional boundaries between discovery, engagement, and purchase are beginning to disappear.

Ultimately, the integration of Salesforce and ChatGPT represents more than a technical upgrade it marks the emergence of a new commerce paradigm where conversations, not clicks, drive online shopping.

Source

$200B AI Investment Signals Strong Future for AWS Under Andy Jassy

$200B AI Investment Signals Strong Future for AWS Under Andy Jassy

Amazon CEO Andy Jassy has reinforced the company’s long-term commitment to artificial intelligence, positioning AWS at the center of what he describes as a “once-in-a-generation” technological shift.

The company plans to invest approximately $200 billion in 2026, with the majority of this investment directed toward AI infrastructure, including data centers, custom chips, and cloud capacity. This large-scale investment strategy reflects Amazon’s belief that AI will redefine not only cloud computing but also the broader digital economy.

AWS AI business reaches new scale

AWS is already seeing strong traction from its AI services. According to recent disclosures, Amazon’s AI-related services within AWS have reached an annualized revenue run rate exceeding $15 billion, accounting for a growing share of its cloud business.

At the same time, Amazon’s custom chip segment powered by products such as Trainium and Graviton has surpassed $20 billion in annual revenue run rate, signaling rapid adoption of in-house AI infrastructure solutions. These results indicate that Amazon’s investment in AI technologies is already delivering measurable outcomes.

Strategic partnerships accelerate growth

Amazon is also strengthening its AI ecosystem through major partnerships. The company recently announced a multi-year strategic collaboration with OpenAI, aimed at accelerating innovation and expanding AI capabilities.

Such partnerships complement Amazon’s broader investment approach, enabling the company to scale faster and respond to rising enterprise demand for AI-powered solutions.

AI to reshape cloud and global commerce

Jassy has emphasized that demand for AI workloads is growing faster than AWS can currently supply. The company is rapidly expanding data center capacity and continuing its investment in infrastructure to meet this demand.

Looking ahead, Amazon believes AI could significantly expand AWS’s long-term potential, positioning the cloud unit for substantial growth in the coming years.

A defining moment for AI leadership

Amazon’s massive AI investment signals a decisive shift toward long-term innovation over short-term profitability. While concerns around spending remain, the company is confident that continued investment in AI will drive future returns and strengthen its competitive position.

As competition intensifies among global tech giants, AWS’s aggressive strategy could play a defining role in shaping the next era of cloud computing and e-commerce.

Source

Stay updated with global AI and e-commerce developments on WORLDEF.

Andy Jassy Praised Amazon’s Chips; Criticized NVIDIA with a Rare Swipe

Andy Jassy

Amazon CEO Andy Jassy made a rare swipe at NVIDIA by emphasizing his confidence in Amazon’s chips.

In his annual letter to shareholders, Andy Jassy virtually challenged NVIDIA by praising Amazon’s progress in the field of artificial intelligence chips. Amazon is a customer of NVIDIA; however, it also produces artificial intelligence chips called “Trainium.” The company has made chip deals with OpenAI, Anthropic, and Apple by selling access to Trainium chips via the cloud.

“We Have a Strong Partnership with NVIDIA”

Jassy stated that Amazon’s chip business is “on fire.” He said this demand is part of a shift in which companies are diversifying where they buy their artificial intelligence chips from. Andy Jassy said, “Virtually all AI thus far has been done on NVIDIA chips, but a new shift has started. We have a strong partnership with NVIDIA, will always have customers who choose to run NVIDIA, and we will continue to make AWS the best place to run NVIDIA.”

“Trainium3 Offers 30–40% Better Price-Performance Than the Previous Model”

Jassy said that customers want “better price-performance.” He compared this to Amazon reducing Intel’s dominance in the CPU space with its own chip called Graviton, which it launched in 2018. Saying, “The same story arc is unfolding in AI,” Jassy stated that Amazon’s latest chip, Trainium3, offers “30–40% better price-performance” than the previous model. Jassy noted that the annual revenue run rate of Amazon’s chip business is now over $20 billion. Jassy wrote, “At scale, we expect Trainium will save us tens of billions of capex dollars per year, and provide several hundred basis points of operating margin advantage versus relying on others’ chips for inference.”

AI and Smart Labels Are Transforming $200B Retail and E-Commerce in Latin America

AI and Smart Labels Are Transforming $200B Retail and E-Commerce in Latin America

Retail in Latin America is entering a new phase one defined not just by growth, but by intelligence.

Artificial intelligence and smart labeling technologies are reshaping how products are priced, tracked, and sold, turning traditional retail environments into real-time, data-driven ecosystems.

At the center of this transformation are smart labels digital price tags and connected systems that go far beyond static product information.

From Static Retail to Real-Time Commerce

Retail has traditionally operated on fixed pricing, manual updates, and delayed decision-making.

That model is now being replaced.

With AI-powered systems and electronic labels, retailers can update prices instantly, respond to demand fluctuations, and optimize promotions in real time. This shift enables what industry leaders describe as dynamic commerce a model where operations are continuously adjusted based on data.

The result is a more agile retail environment where pricing, inventory, and customer experience are no longer disconnected.

Smart Labels as a Strategic Tool

Smart labels often powered by technologies like RFID, NFC, or digital shelf displays are becoming a key interface between products and data.

They allow retailers to:

  • Automate price changes across thousands of SKUs
  • Improve inventory visibility and tracking
  • Enable real-time promotions and personalized offers
  • Reduce operational errors and manual workload

More importantly, these labels create a bridge between physical stores and digital commerce systems, aligning offline retail with e-commerce logic.

This convergence is critical in a region where omnichannel strategies are rapidly evolving.

AI Is Redefining Decision-Making

Artificial intelligence is not just supporting operations it is redefining them.

Retailers are increasingly using AI to analyze consumer behavior, predict demand, and automate decisions that were once handled manually. From pricing strategies to shelf optimization, AI enables a level of responsiveness that traditional systems cannot match.

In Latin America, adoption is accelerating as companies aim to keep pace with global innovation and rising consumer expectations.

Why Latin America Is a Key Growth Region

The region’s e-commerce market is projected to surpass $200 billion, making it one of the fastest-growing globally.

This growth creates the perfect environment for innovation.

However, challenges remain fragmented infrastructure, logistics complexity, and varying digital maturity. AI and smart technologies offer a way to overcome these limitations by improving efficiency and reducing operational friction.

The Bigger Shift: Retail Becomes a Data Platform

The real impact of AI and smart labels goes beyond efficiency.

Retail is evolving into a data platform, where every product, shelf, and transaction generates actionable insights. The store is no longer just a sales channel it becomes part of a connected, intelligent system.

In this model, success is not defined by scale alone, but by how effectively businesses can turn data into decisions.

Source

The Data Crisis in E-Commerce Deepens; Brands Are Seeking Solutions in AI

data

The long-standing notion in the e-commerce world that “data is gold” has now given way to a new problem: the inability to take action within an abundance of data. Recent research reveals that although large-scale brands are successful in generating data, they struggle to convert this data into meaningful business decisions.

Analyses conducted particularly on brands with revenues exceeding 300 million dollars show that teams are getting lost among dozens of dashboards and that decision-making processes are slowing down. While 56 percent of participants identify data trust and data quality as the biggest issue, 46 percent state that data cannot be turned into action.

The Agency Model Is Reaching Its Limits

The agency model, which has played a critical role in e-commerce operations for many years, is also at a serious breaking point. Although 76 percent of brands still work with agencies, the sustainability of this model is now being questioned.

According to the research, brands allocate 15 to 30 percent of their budgets to agencies. However, 55 percent believe that the results are not proportional to the cost, while 40 percent complain about the slow response times of agencies. Especially on platforms where algorithms change hourly, these delays lead to significant competitive losses.

AI Agents Are Becoming the New Standard

This situation is pushing e-commerce leaders toward new solutions. According to the research, 82 percent of companies plan to increase their AI investments in the next 12–18 months. Moreover, 71 percent are already familiar with or actively using AI agents.

Artificial intelligence stands out particularly in areas where speed is critical. Retail media optimization, product page content management, and demand forecasting are among the top investment areas leading up to 2026. Global research firms such as McKinsey and Gartner similarly predict that AI-powered decision systems can increase efficiency in e-commerce by 20–30 percent.

Trust and the Human Factor Remain Critical

However, the most important issue in the transition to AI is trust. The majority of e-commerce leaders remain cautious about “black-box” AI systems that lack transparency. While 82 percent of participants state that an integrated data structure is critical, 53 percent prioritize security and regulatory compliance.

In addition, 43 percent emphasize that human oversight must be part of the process. This shows that the future model will not be full automation, but rather “AI + human collaboration.”

The New Era Is Not About Data, But Action

In e-commerce, competition is no longer determined by who collects more da ta, but by who can turn that data into faster and more accurate action. Although artificial intelligence plays a critical role in this transformation, successful brands will be those that combine technology with the right strategy and human intelligence. In the coming period, the winners will not be those who increase the number of dashboards, but those who can turn da ta into meaningful decisions and actions.

Mastercard Launches the Era of AI-Powered Payments in ASEAN

Mastercard

Mastercard has taken a significant step to expand AI-powered payment systems in Southeast Asia (ASEAN). The company has rolled out “agentic” transactions meaning authenticated transactions initiated by artificial intelligence across multiple markets, including Singapore and Malaysia, while also announcing that it will establish a new AI Centre of Excellence in Singapore.

The new system announced by Mastercard enables AI agents to carry out transactions securely on behalf of users. Through technologies such as tokenization, verifiable intent, and end-to-end auditability, it ensures that every transaction is aligned with user authorization.

The first pilot implementations were carried out in collaboration with UOB, one of the region’s leading banks. These tests demonstrated that a scalable and secure payment infrastructure is possible across different countries.

Mastercard’s New Payment Ecosystem Based on Data and Trust

The “Agent Pay” system developed by Mastercard places trust at the center of AI-powered commerce. The “Verifiable Intent” technology, developed together with Google, protects against manipulation by recording which transactions users have authorized.

According to experts, this approach will play a critical role in maintaining user trust as automation in e-commerce increases. In a world where AI agents can transact on behalf of consumers, transparency and auditability are becoming fundamental requirements.

An AI Center to Be Established in Singapore

Mastercard aims to increase innovation capacity in the region with the AI Centre of Excellence it will launch in Singapore later this year. This center will become one of the company’s largest R&D hubs in cybersecurity, data analytics, and artificial intelligence.

The company has already been using artificial intelligence for more than a decade in areas such as fraud prevention and risk management. With the new center, these capabilities are planned to be applied on a broader scale.

A New Era in E-Commerce Begins

According to experts, ASEAN is one of the fastest-growing regions for AI-powered commerce, thanks to its young population, rapid digitalization, and strong mobile payment adoption. Mastercard’s move is considered a step that could shape not only regional but also global e-commerce trends. In the coming period, AI systems that shop on behalf of users and cross-border integrated payment solutions may become standard in digital commerce.

ChatGPT Shopping Rise 50M Daily Queries Reshape E-Commerce Discovery

ChatGPT Shopping Rise 50M Daily Queries Reshape E-Commerce Discovery

OpenAI is transforming how consumers discover products online, positioning ChatGPT as a powerful new entry point for e-commerce. With millions of users already turning to AI for recommendations, the company is now introducing a more advanced and visually immersive shopping experience inside ChatGPT.

From Search to Conversation

Traditional online shopping often requires users to jump between tabs, compare multiple sources, and manually evaluate options. OpenAI is changing that model by turning product discovery into a conversation.

Users can now describe what they are looking for in natural language, refine their preferences interactively, and receive tailored product suggestions in real time. This significantly reduces the time and friction involved in decision-making.

Visual and Smarter Shopping Experience

The latest update introduces richer and more visual product browsing within ChatGPT. Instead of static lists, users can now explore products visually, compare options side-by-side, and access up-to-date information all within a single interface.

What previously required hours of research across different platforms can now be completed in seconds through AI-assisted discovery.

Powered by Agentic Commerce

At the core of this shift is OpenAI’s Agentic Commerce Protocol (ACP), which enables ChatGPT to deliver more relevant, accurate, and real-time product information directly to users.

This approach moves beyond traditional search engines, positioning AI as an active participant in the shopping journey rather than just a passive tool.

A New Discovery Channel for E-Commerce

ChatGPT is rapidly emerging as a significant product discovery channel. Reports suggest the platform processes around 50 million shopping-related queries daily, highlighting its growing influence in consumer decision-making.

This shift signals a major change for brands and retailers, who must now optimize not only for search engines but also for AI-driven discovery environments.

What It Means for Brands

As AI becomes a central interface for shopping, brands will need to rethink their digital strategies. Visibility within AI-driven platforms, structured product data, and accurate information will become critical for reaching consumers.

The evolution of ChatGPT into a product discovery engine reflects a broader trend: the convergence of AI, search, and commerce into a single, seamless experience.

Read more on WORLDEF

Source: OpenAI

AI Boom Accelerates as E-Commerce Tech Drives 100% Surge in Foundational Funding

AI Boom Accelerates as E-Commerce Tech Drives 100% Surge in Foundational Funding

The global investment landscape is undergoing a major shift as foundational AI startups attract unprecedented levels of capital, signaling a new phase for digital commerce infrastructure.

According to Crunchbase data, funding to foundational AI companies – including firms developing large-scale generative models – reached $178 billion in Q1 2026 alone, doubling the $88.9 billion raised across all of 2025.

This sharp increase highlights how artificial intelligence is rapidly becoming the backbone of e-commerce, powering everything from personalization and search to logistics optimization and customer service automation.

E-Commerce Transformation Accelerates with AI Investment Boom

The surge in funding is heavily concentrated among a small group of dominant players. Companies such as OpenAI, Anthropic, and xAI are capturing a disproportionate share of global capital, reflecting a growing “winner-takes-most” dynamic in the AI ecosystem.

OpenAI alone has raised over $120 billion, marking one of the largest private funding rounds in history. Meanwhile, Anthropic secured $30 billion, and xAI raised $20 billion, reinforcing their positions as leading forces shaping the future of digital infrastructure.

Beyond the scale, the structure of funding is also shifting. While fewer deals are being made – just 24 major transactions in Q1 2026 – the average deal size has grown significantly, indicating that investors are placing larger, more concentrated bets on a limited number of AI leaders.

This trend comes after years of broader but less focused venture investment. In contrast, today’s capital allocation strategy prioritizes companies building foundational models that can be applied across industries, including e-commerce platforms, marketplaces, and payment systems.

The impact on e-commerce is already visible. AI-driven tools are enabling faster product discovery, smarter recommendation engines, automated customer support, and more efficient supply chain operations. As these technologies mature, they are expected to redefine how online businesses operate and scale globally.

At the same time, the dominance of a few major players raises concerns about market concentration. With a significant portion of venture funding flowing into just a handful of companies, smaller startups may face increasing challenges in accessing capital and competing at scale.

Still, investor confidence remains strong. AI-related startups accounted for nearly 50% of global venture funding in 2025, underscoring the sector’s central role in the future of digital economies.

As the AI race intensifies, the connection between foundational models and e-commerce will only deepen. What was once considered a supporting technology is now becoming the core infrastructure powering the next generation of online commerce.

Source: Crunchbase

AI Earthquake at Oracle: Thousands of Employees Are Being Laid Off

Oracle

US-based technology giant Oracle is preparing to part ways with thousands of employees while accelerating its artificial intelligence investments. The company’s new wave of layoffs launched on a global scale stands out as one of the most striking examples of the growing “AI-focused restructuring” trend in the technology sector.

According to sources close to the matter, although Oracle has not yet made an official announcement, it has started a downsizing process affecting thousands of employees worldwide. It is stated that the company, which had approximately 162,000 employees as of 2025, took this step in order to optimize costs and redirect resources.

Oracle’s Layoffs Could Reach 30,000 People

According to some analyses, if the layoffs reach between 20,000 and 30,000 people, the company could achieve an increase of between $8 billion and $10 billion in free cash flow. This shows that Oracle aims to strengthen its financial structure.

This decision by Oracle is directly linked to its major investments in artificial intelligence infrastructure. The company is expanding capacity to support artificial intelligence workloads, especially by increasing GPU- and CPU-based data center investments.

Oracle’s recent announcement of a $50 billion debt and equity financing plan reveals the scale of the investment. In addition, following the company’s agreement with OpenAI worth more than $300 billion, its total remaining performance obligations reached $455 billion.

Stock Pressure and Competition Were Influential

The company’s stock performance was also an important trigger in this process. While Oracle shares lost approximately 25% of their value during 2026, investors are voicing concerns about the company’s rising debt load and declining cash flow. At the same time, Oracle, which competes with giants such as Amazon, Microsoft, and Google in the field of generative artificial intelligence, is pursuing an aggressive investment strategy in order not to fall behind in this race.

Industry Players Focused on Restructuring for AI

Oracle is not alone. Recently, technology giants such as Meta, Amazon, and Atlassian have also made similar layoffs and redirected their resources toward artificial intelligence investments. According to experts, this shows that companies have entered a transformation process toward “AI-first organizations.”

Analysts emphasize that these layoffs do not mean that artificial intelligence is directly replacing employees, but rather that companies are restructuring costs in order to invest in future growth areas.

The Long-Term Goal Is to Increase AI Revenues

Oracle management, however, believes that the investments made will pay off in the long term. The company states that demand for artificial intelligence infrastructure exceeds supply and that there is strong growth potential in this area. All these developments reveal that the balance in the technology sector is changing rapidly and that companies are now reshaping their growth strategies around artificial intelligence.