Catch up on select AI news and developments from the past week or so:
OpenAI expands ChatGPT ads with richer creative formats and e-commerce features. OpenAI is testing upgraded ad formats inside ChatGPT, including larger images, customizable call-to-action buttons, and dedicated e-commerce layouts featuring pricing and customer reviews. The company is also building more advanced advertising infrastructure, including audience targeting, outcome-based optimization, conversion tracking, and self-serve campaign management. OpenAI executives said creative variation performs differently depending on conversational context, making AI chat environments more dynamic than traditional search or social feeds. The updates reflect OpenAI’s accelerating effort to turn ChatGPT into a scalable advertising platform ahead of a potential IPO later this year.
Importance for marketers: ChatGPT is rapidly evolving into a major advertising channel with conversational, intent-driven ad experiences. Marketers may soon need dedicated creative, measurement, targeting, and optimization strategies specifically designed for AI chat environments.
Agentic commerce could force brands to optimize for AI buyers as much as human consumers. Agentic commerce is transforming brand trust from an emotional advantage into a measurable, machine-readable one, this analysis argues. As consumers increasingly delegate purchase evaluation to AI systems, agents may prioritize operational data, such as fulfillment reliability, return policies, reviews, loyalty value, pricing consistency, and service performance, over emotional brand perceptions. Brands will need stronger structured data, clearer operational proof points, and more machine-readable systems to remain visible and competitive in AI-driven commerce environments. Also: AI agents could bypass brands with incomplete or inconsistent data before consumers even see recommendations.
Importance for marketers: Agentic commerce could fundamentally reshape branding, SEO, e-commerce optimization, and customer acquisition. Marketers may increasingly need to optimize content, product data, loyalty systems, and operational transparency for AI agents that influence purchasing decisions.
Anthropic introduces AI workflow system aimed at small-business operations. Anthropic introduced Claude for Small Business, a workflow system designed to connect Claude with widely used business platforms, including QuickBooks, PayPal, HubSpot, Canva, and DocuSign. The release includes ready-made workflows and automation skills intended to help small businesses handle tasks such as invoicing, payroll, campaign management, and operational approvals. The system shifts Claude from a conversational assistant into a workflow layer integrated directly into business operations. Users connect their existing software stack, select tasks, and review outputs before actions are finalized. The release reflects growing competition among AI companies to position AI agents as practical operational tools rather than standalone chat interfaces.
Importance for marketers: Easier AI workflow automation for small businesses could expand AI adoption far beyond enterprise organizations. Marketing teams may gain broader access to AI-assisted campaign execution, approvals, customer communications, and operational automation.
Google expands Preferred Sources into AI Overviews and AI Mode. Google is allowing users to designate favored websites whose links will receive visible “Preferred” badges inside AI-generated search responses. The company also introduced “Highly Cited” labels and new article carousels intended to highlight original reporting and trusted content sources within AI-powered search experiences. Google said users are twice as likely to click links carrying the Preferred badge, signaling an attempt to preserve publisher visibility as AI-generated answers increasingly displace traditional search results.
Importance for marketers: AI-powered search visibility is becoming increasingly dependent on brand trust, audience preference, and perceived authority. Marketers may need stronger brand loyalty, direct audience relationships, and publisher reputation strategies to maintain traffic and visibility in AI search environments.
Google AI Overviews are reshaping how advertisers must structure search campaigns. Advertisers can improve visibility inside Google’s AI Overviews using Shopping, Performance Max, and AI Max for Search campaigns. AI-driven search placements increasingly depend on feed quality, contextual landing page content, structured schema markup, audience signals, and conversational creative rather than traditional keyword targeting alone. Marketers must shift toward more assistive, information-rich messaging and broader automation strategies optimized for intent rather than exact queries.
Importance for marketers: AI Overviews are rapidly changing paid search strategy, campaign architecture, and creative optimization. Advertisers may need stronger structured data, conversational copy, and AI-compatible landing page strategies to remain visible inside AI-generated search experiences.
SEO experts increasingly argue that brand strength now matters more than rankings alone. The rise of AI search systems, answer engines, and fragmented discovery platforms is shifting SEO away from pure keyword optimization toward brand recognition and trust. Although tactical SEO still drives traffic, long-term visibility increasingly depends on reputation, repeated exposure, trusted mentions, community presence, and broader brand memory across platforms, such as ChatGPT, Reddit, LinkedIn, YouTube, and AI-generated search results. The shift is framed as “YBYS”—”Your Brand = Your SEO.”
Importance for marketers: As AI systems increasingly summarize information without clicks, strong brands may gain a larger competitive advantage than purely search-optimized websites. Marketing teams may need more investment in brand-building, authority signals, PR, communities, and cross-platform visibility.
Consumers increasingly reject AI-generated marketing that feels emotionally empty or intrusive. Canva’s “The State of Marketing and AI 2026” report found that consumers remain skeptical of AI-generated advertising that feels robotic, emotionally flat, or overly invasive. Fully 70% of respondents said they can usually recognize AI-generated ads because they feel like they are “missing their soul,” and many expressed frustration with AI-generated social posts, product images, voiceovers, and emails. At the same time, consumers still responded positively to AI when it improved relevance, personalization, localization, or convenience without crossing privacy boundaries. Many also said brands should disclose AI use and provide stronger protections around user data.
Importance for marketers: The findings reinforce that AI-generated marketing alone is not enough to build trust or engagement. Brands may need to balance automation with stronger human creative direction, emotional resonance, transparency, and responsible personalization practices.
Generative AI is reshaping the infrastructure behind programmatic advertising auctions. Generative AI is beginning to transform the systems that power programmatic advertising auctions across display, video, CTV, audio, and retail media. AI is being used to optimize traffic routing, yield prediction, audience modeling, campaign planning, and bid decisioning across DSPs and SSPs. At the same time, the growing complexity of AI-generated content and synthetic websites is creating new risks around fraud, inventory quality, and signal degradation. Industry participants are increasingly focused on cleaning up fragmented supply chains, improving transparency, and preserving trustworthy audience data as AI-driven automation expands further into advertising infrastructure.
Importance for marketers: AI is changing not only creative workflows but also the hidden mechanics of digital advertising. Marketers may need stronger oversight of supply paths, inventory quality, attribution systems, and AI-generated environments across programmatic media buying.
Metadata is emerging as a critical competitive advantage in AI-driven marketing and search. Metadata is becoming foundational for AI-powered discovery, personalization, and content activation. Structured data, schema markup, product attributes, provenance signals, image descriptors, and DAM tags increasingly help AI systems understand, categorize, and surface brand content across search engines, recommendation systems, e-commerce platforms, and large language models. For example, Pinterest and Adobe already rely heavily on metadata to power personalization and asset discovery. Machine-readable trust and provenance signals are growing in importance as AI-generated content spreads more widely online.
Importance for marketers: Metadata strategy may become increasingly important for SEO, AEO, GEO, personalization, and AI visibility. Marketing teams that improve structured content and machine-readable signals could gain stronger visibility within AI-powered discovery systems.
Enterprise retailers rapidly adopt AI shopping agents despite mounting fraud concerns. Research from Ravelin found that 44% of enterprise e-commerce merchants are already integrating agentic commerce protocols, and another 32% expect to do so within six months. Merchants anticipate AI shopping agents could account for up to 30% of transactions within three years. At the same time, only 29% said they feel highly prepared for the fraud and security risks tied to AI-driven shopping. Concerns include agent hijacking, fake AI agents, fraudulent transactions, liability disputes, and AI-enabled refund abuse. More than half of merchants surveyed said they trust AI shopping agents more than human shoppers, although consumers remain more cautious about security risks.
Importance for marketers: AI shopping agents could significantly reshape digital commerce, search behavior, and conversion optimization. Marketers may need to optimize experiences not just for human buyers, but also for AI purchasing systems that increasingly influence transaction decisions.
DuckDuckGo gains users as backlash grows against Google’s AI-heavy search overhaul. DuckDuckGo reported major growth in app installs and search activity following Google’s announcement that AI agents will increasingly replace traditional search results. The privacy-focused search engine said US app installs rose more than 18% week over week, on average, with peaks above 30%, as users sought alternatives that offer greater control over AI usage. DuckDuckGo executives argued that Google is “force-feeding” AI into search experiences without giving users meaningful opt-out options. The company highlighted growing interest in its AI-free search mode, which disables AI-generated summaries and images by default while still offering optional AI tools for users who want them.
Importance for marketers: Consumer resistance to AI-generated search experiences could fragment search behavior and weaken assumptions about universal AI adoption. Marketers may need more diversified search, SEO, GEO, and privacy-focused discovery strategies across multiple platforms.
Corporate America is beginning to question whether AI spending is delivering real ROI. Companies that aggressively adopted AI are increasingly confronting soaring infrastructure costs, uneven productivity gains, and employee skepticism. Microsoft, for one, canceled many Claude Code licenses over costs, while Uber executives said AI spending is becoming harder to justify. Consultants described companies accidentally generating massive AI bills because employees used premium models for routine tasks. Executives and analysts also warned that many organizations are deploying AI without clear business objectives or disciplined governance. Enterprises are now moving away from indiscriminate “tokenmaxxing” toward more selective and financially accountable AI usage.
Importance for marketers: Enterprise pressure to prove measurable AI ROI could affect software budgets, martech investments, and expectations around AI-driven productivity. Marketing leaders may increasingly need stronger business cases, governance controls, and outcome-based measurement for AI deployments.
DeepMind CEO Demis Hassabis warns society is running out of time to prepare for AGI. Google DeepMind CEO Demis Hassabis said society may have only a few years to prepare for artificial general intelligence, with 2029 now appearing plausible for AGI arrival. Hassabis described the coming wave of AI agents as a “practice run” for more powerful systems and urged governments, economists, and the public to accelerate preparation efforts. He also highlighted recursive self-improvement as a looming milestone, noting that leading AI labs are already focused on systems capable of materially accelerating their own development. Hassabis said current coding agents are already boosting engineer productivity in ways that resemble “soft self-improvement.”
Importance for marketers: Growing urgency around AGI timelines could accelerate regulatory scrutiny, enterprise AI adoption, and workforce restructuring. B2B marketers may need to adapt more quickly to AI-native customer journeys, AI-assisted buying processes, and heightened public concerns around AI governance and trust.
Meta launches paid subscriptions across its social apps and introduces AI-focused plans. Meta officially launched subscription offerings for Instagram, Facebook, and WhatsApp while also testing new AI-focused subscription tiers under a broader “Meta One” brand. Consumer subscriptions add features such as advanced analytics, profile customization, enhanced story tools, and messaging personalization, while premium AI plans provide greater compute capacity and expanded image and video generation capabilities. Meta is also testing subscription plans for creators and businesses that include stronger visibility tools, analytics, audience insights, and promotional advantages across its platforms. The company is positioning subscriptions as a long-term revenue stream beyond advertising.
Importance for marketers: Meta’s expanding subscription ecosystem could reshape creator economics, AI monetization, audience targeting, and platform visibility dynamics. Brands and creators may increasingly face pay-to-compete pressures across Meta’s platforms.
YouTube introduces prompt-driven personalized content feeds. YouTube launched an experimental feature allowing users to create custom content feeds through plain-text prompts entered directly on the Home tab. Users can describe the type of content they want, and YouTube generates continuously refreshed personalized feeds that persist over time. The feature is a significant shift from purely algorithmic recommendation systems toward more explicit, conversational user intent signals. The rollout currently applies to signed-in US users with watch and search history enabled.
Importance for marketers: Prompt-driven personalization could change how audiences discover video content and how creators optimize for visibility. Marketers may eventually need to optimize content not only for algorithms but also for natural-language user prompts and intent-based feed generation.
Anthropic launches Opus 4.8 with more affordability and stronger workflow controls. Anthropic released Claude Opus 4.8, an upgraded flagship model focused on coding, reasoning, financial analysis, and knowledge work while maintaining prior pricing levels. The company introduced faster processing modes, lower-cost operation options, multi-subagent workflows, and adjustable effort settings that allow customers to balance cost, speed, and reasoning depth. Anthropic positioned the release around affordability and usage flexibility as enterprise customers increasingly scrutinize AI spending. The company also said more powerful Mythos-class models are expected to become broadly available in the coming weeks following additional safety work.
Importance for marketers: AI vendors are increasingly competing not only on model capability but also on pricing efficiency, customization, and workflow flexibility. Marketing organizations may gain more granular control over AI costs, automation depth, and performance tradeoffs.
DeepSeek permanently cuts flagship AI model pricing by 75%. Chinese AI startup DeepSeek announced a permanent 75% price reduction for its V4-Pro AI model, dramatically lowering API costs for developers and enterprise users. The move highlights intensifying global competition in the AI infrastructure market, particularly as Chinese firms expand their capabilities despite US export restrictions on advanced chips. DeepSeek previously attributed higher pricing to limited high-end compute capacity, but improvements involving Huawei’s Ascend 950 chips appear to be easing constraints. The pricing cut reflects broader pressure across the AI sector to lower inference costs while scaling adoption of increasingly advanced models and services.
Importance for marketers: Rapidly falling AI costs could accelerate AI adoption across businesses of all sizes, including marketing organizations with limited budgets. Lower model pricing may also intensify competition among AI vendors and expand access to AI-powered content, analytics, and automation tools globally.
Pope Leo warns AI must face strict ethical oversight and public accountability. Pope Leo used his first encyclical, Magnifica Humanitas, to argue that AI development should face rigorous ethical constraints, particularly in warfare, labor displacement, and economic inequality. The document warned against concentrated power among large technology companies and criticized the “culture of power” shaping AI development. Leo called for AI systems to remain “human-friendly,” accessible, and subject to broad public oversight rather than controlled solely by governments or corporations. Anthropic co-founder Christopher Olah, who appeared alongside the pope at the Vatican presentation, reinforced concerns about AI-driven labor displacement and said outside scrutiny from governments, religious groups, and civil society is essential.
Importance for marketers: Growing moral, political, and societal scrutiny of AI could reshape brand risk, AI governance expectations, and consumer trust. Marketers using AI systems may face stronger demands for transparency, ethical safeguards, and responsible data and automation practices.
AI leaders split sharply over whether AI will destroy or expand white-collar employment. OpenAI and Anthropic executives are increasingly presenting conflicting narratives about AI’s impact on jobs. Anthropic co-founder Chris Olah warned at the Vatican that AI could displace human labor at very large scale, while OpenAI CEO Sam Altman said he now believes fears of a near-term “jobs apocalypse” were overstated. The divide comes amid layoffs across major technology companies, many tied to AI investments and restructuring efforts. At the same time, researchers and economists continue to find mixed evidence about AI’s real labor-market effects, with some job categories shrinking while AI-related hiring continues to grow. Companies are also reassessing whether expensive AI deployments are producing expected productivity gains.
Importance for marketers: Conflicting narratives around AI’s economic impact could influence enterprise AI budgets, hiring plans, customer confidence, and regulatory pressure. Marketing leaders may need to navigate growing uncertainty about workforce planning, automation ROI, and long-term AI investment strategies.
Anthropic co-founder says AI labs cannot govern frontier AI on their own. Anthropic co-founder Christopher Olah used a Vatican event alongside Pope Leo XIV to argue that frontier AI development cannot be left solely to AI companies. Olah acknowledged that commercial, geopolitical, and competitive pressures inside AI labs can conflict with broader societal interests, making outside oversight essential. He also warned that AI could displace human labor at large scale faster than economies can adapt. The remarks came as Anthropic faces mounting political and regulatory pressure, including conflicts with the US government over autonomous cybersecurity systems and restrictions surrounding its Mythos AI model. Olah framed external oversight as necessary rather than optional for the next phase of AI development.
Importance for marketers: Calls for stronger AI oversight from inside major AI companies could accelerate regulation, governance requirements, and public scrutiny of AI-powered marketing systems. Brands may increasingly need clear AI accountability policies and human oversight frameworks.
Sam Altman says AI is unlikely to trigger the white-collar jobs collapse he once feared. OpenAI CEO Sam Altman said he now believes AI is less likely to cause a near-term “jobs apocalypse” than he previously expected. Speaking at a conference in Australia, Altman acknowledged that OpenAI’s early predictions about AI’s technological progress were more accurate than its assumptions about labor disruption. He said many jobs contain a “human part” that people still value and may resist outsourcing to AI systems. Altman described his own experience using AI to handle messages and communications before deciding some interactions still required direct human engagement. He said the evolving relationship between humans and AI appears more nuanced than earlier predictions suggested.
Importance for marketers: Businesses may increasingly focus on AI augmentation rather than full automation of customer-facing roles. Marketing organizations could prioritize hybrid human-AI workflows that preserve authenticity, trust, and relationship-building while improving efficiency.
YouTube will automatically label realistic AI-generated videos. YouTube announced automatic AI labeling for videos containing significant photorealistic AI-generated or AI-altered content, even when creators fail to disclose it themselves. Labels will appear directly below long-form videos and as overlays on Shorts, making disclosures more visible to viewers. The platform said the policy focuses on realistic AI content that could mislead audiences rather than obviously fictional or animated material. YouTube also confirmed that videos created with its own AI tools or containing C2PA metadata will receive permanent AI disclosures.
Importance for marketers: Automatic AI labeling could influence audience trust, creative strategy, and disclosure requirements for AI-generated advertising and branded content. Marketers may face increasing pressure for transparency around synthetic media and AI-assisted creative production.
Trump delays AI executive order after opposition from anti-regulation tech leaders. A planned Trump administration executive order focused on AI and cybersecurity testing was postponed last week after opposition from President Trump, AI adviser David Sacks, and several technology executives. Critics viewed the proposed measures as unnecessary regulation that could slow US competitiveness against China. The order included voluntary testing provisions for advanced AI models and expanded government involvement in AI security oversight. The delay highlights growing tensions inside Washington and the technology industry between advocates of aggressive AI acceleration and those pushing for stronger safety guardrails and regulatory frameworks.
Importance for marketers: Continued uncertainty around AI regulation could affect enterprise adoption, platform governance, compliance expectations, and long-term investment planning. Marketing organizations may face a shifting regulatory landscape with inconsistent AI standards across industries and markets.
Anthropic and OpenAI allies escalate their rivalry into US political campaigns. Rivalries between leading AI companies are increasingly spilling into US politics through competing super PACs and political advocacy groups. AI-focused political organizations tied to OpenAI, Anthropic, Meta, and other technology investors are spending heavily on congressional races and AI policy debates. Anthropic-backed groups are associated with stronger AI regulation efforts, while organizations tied to OpenAI investors and accelerationist figures are pushing lighter regulation and faster AI deployment. The growing political influence of AI companies reflects how central AI policy has become to future economic, geopolitical, and regulatory power struggles.
Importance for marketers: AI policy battles are becoming increasingly politicized and could shape future rules around advertising, privacy, AI-generated content, competition, and platform governance. Brands may eventually need clearer positions on AI ethics, transparency, and regulation.
Firefox redesign adds a visible switch to disable all AI features. Mozilla announced that its upcoming Firefox redesign, Project Nova, will include straightforward controls allowing users to turn off all AI-related browser features entirely. The move comes amid growing backlash against AI integrations in browsers and concerns over privacy, telemetry, and background AI processing. Mozilla’s approach contrasts with Google Chrome’s increasing AI integration and highlighted similar anti-AI positioning from privacy-focused browser companies such as Brave. Mozilla framed visible AI controls as part of a broader effort to prioritize user choice and transparency.
Importance for marketers: Consumer resistance to mandatory AI integrations may create more fragmented user behavior across browsers, search experiences, and personalization systems. Brands may need to prepare for audiences that increasingly opt out of AI-powered features and tracking.
AI-generated audiobook piracy is rapidly spreading across YouTube. Publishers and authors are warning that AI-generated audiobook piracy on YouTube is becoming a major threat to the fast-growing audiobook market. Pirates are using AI narration tools to quickly create synthetic audiobook versions of best-selling titles and evade copyright detection systems by altering files with music, pacing changes, or modified narration. Publishers argue YouTube’s current copyright enforcement tools are poorly suited to audiobook detection because they rely heavily on exact audio matching. Industry groups are now investing in AI-powered copyright protection tools to identify manipulated and synthetic audiobook copies at scale.
Importance for marketers: The spread of AI-generated piracy highlights broader challenges around content ownership, synthetic media, and platform accountability. Brands producing premium digital content may increasingly need AI-driven rights protection and provenance systems.
Xreal says AI and improved hardware may finally make smart glasses commercially viable. Smart glasses company Xreal said advances in hardware, operating systems, and AI-powered interfaces may finally allow the long-struggling smart glasses market to reach mainstream adoption. The company’s new Aura glasses integrate OLED displays, immersive applications, hand tracking, and AI-assisted experiences powered through a companion computing device. Xreal executives pointed to Meta’s Ray-Ban smart glasses partnership as evidence that consumer demand is improving as devices become more practical and socially acceptable. The company claims improving software experiences and shrinking hardware limitations could help smart glasses evolve into meaningful computing platforms for both consumers and professionals.
Importance for marketers: Smart glasses and wearable AI interfaces could create new forms of immersive advertising, contextual search, commerce, and customer engagement. Brands may eventually need to design experiences optimized for persistent, AI-assisted wearable computing environments.
Amazon-owned Bee wearable highlights growing tension between AI convenience and privacy. Bee, Amazon’s AI-powered wearable assistant records, transcribes, and summarizes conversations throughout the day. The device aims to function as a persistent AI assistant for meetings, scheduling, reminders, and personal organization. Bee is potentially useful for professional note-taking and meeting management, but concerns have emerged around surveillance, cloud-based data storage, mobile permissions, and the amount of personal information the device collects. There is also noted broader discomfort around AI wearables that continuously monitor offline interactions and daily activity.
Importance for marketers: AI wearables could eventually create new streams of contextual consumer data and personalized engagement opportunities, but growing privacy concerns may also increase regulatory scrutiny and consumer resistance to always-on AI systems.
Companies increasingly accused of ‘AI washing’ as brands rush to appear AI-focused. Public relations professionals say companies across multiple industries are aggressively rebranding ordinary automation or legacy technologies as AI products to capitalize on investor and media attention surrounding artificial intelligence. Communications executives described growing pressure from executives to label products, services, and commentary as AI-related even when the connection is weak or misleading. However, journalists and audiences are becoming increasingly skeptical of vague “AI-powered” marketing claims, particularly as companies pursue relevance during the current AI boom.
Importance for marketers: Growing skepticism around exaggerated AI claims could raise reputational risks for brands using vague or inflated AI messaging. Marketers may need clearer positioning, more transparent product claims, and stronger proof points to maintain credibility.
Singapore expands AI-focused digital transformation plan for retail businesses. Singapore’s EnterpriseSG and IMDA agencies launched an updated Retail Industry Digital Plan aimed at helping more than 2,000 small and midsize retailers adopt AI-powered technologies. The revised program reorganizes digital solutions around operational pain points instead of digital maturity levels and adds stronger emphasis on AI-enabled systems across customer engagement, operations, forecasting, marketing, and workforce training. The agencies said many retailers still struggle to understand how to apply AI effectively despite strong adoption of basic digital tools. The initiative also includes cybersecurity and data protection guidance to help businesses deploy advanced technologies more safely and competitively.
Importance for marketers: Government-backed AI adoption programs could accelerate AI maturity among retailers and normalize AI-powered customer engagement tools. Marketers may see rising expectations for personalization, predictive analytics, and AI-assisted content operations globally.
Activists launch specialized offline AI assistant designed for organizing and movement building. Occupy Wall Street co-founder Micah White introduced Outcry, an offline AI assistant built specifically for activists, organizers, and social movement groups. The app uses locally stored datasets and specialized training sources intended to provide organizing guidance without relying on cloud-based AI systems or broader commercial platforms. Outcry is framed as part of a growing movement toward highly specialized, domain-specific AI assistants designed around narrower, trusted datasets rather than general-purpose AI systems trained on massive internet-scale content.
Importance for marketers: The rise of specialized AI assistants could accelerate fragmentation in how people discover information, seek advice, and build communities. Brands may increasingly encounter smaller, domain-specific AI ecosystems with distinct trust, privacy, and content requirements.
Salesforce defends marketing AI capabilities before widespread customer deployment. Salesforce CEO Marc Benioff defended the company’s practice of marketing AI capabilities that are not yet broadly deployed by customers, arguing that forward-looking promotion has long been standard across the technology industry. Some Agentforce demonstrations highlight use cases still undergoing phased rollout or regulatory review, particularly in sensitive sectors such as healthcare. Salesforce said some AI capabilities are already delivering measurable business results for customers, even as broader adoption remains uneven. The discussion reflects growing tension between aggressive AI marketing and the slower realities of enterprise implementation and compliance.
Importance for marketers: Enterprise buyers may become increasingly cautious about AI marketing claims that outpace real-world deployment. B2B marketers may face stronger pressure to prove operational readiness, customer adoption, and measurable outcomes for AI products and services.
You can find the previous issue of AI Update here.
Editor’s note: ChatGPT was used to help compile this issue of AI Update.
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AI Update, May 29, 2026: AI News and Views From the Past Week
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