#AI

Marketing leaders face growing challenges as AI reshapes how brands gain visibility, with companies like UPS, Etsy, and Walgreens eliminating the CMO role in the past year, according to MarTech. According to Forrester’s 2025 report cited in the article, only 49% of Fortune 500 top marketers hold the CMO title, down from 55% the previous year, while average CMO tenure stands at 3.9 years, the shortest in the C-suite, and over one in five Fortune 500 companies have changed their marketing...

A Gartner survey conducted in early 2026 found that CMOs are allocating an average of 15.3% of their marketing budgets to AI initiatives, even as only 30% report that their organizations have mature or fully developed AI readiness capabilities. This gap highlights that 70% of CMOs view becoming an AI leader as a critical goal for 2026, yet the same percentage admits their internal processes are not mature enough to implement and scale AI effectively, according to...

Gartner's 2026 CMO Spend Survey reveals that chief marketing officers (CMOs) are allocating an average of 15.3% of their marketing budgets to AI initiatives, even as only 30% report that their organizations possess mature or fully developed AI readiness capabilities.

At the May 2026 MarTech Conference, a panel of marketing leaders convened to discuss preserving authentic storytelling amid the rise of AI and data, featuring moderator A. Lee Judge and panelists Dale Bertrand, Melanie Deziel, Lexie Haggerty from Braze, and Jordache Johnson.

Organizations have long treated enterprise content as a storage issue, with documents organized and archived across shared drives, PDFs, presentations, and internal systems, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/).

Organizations have long treated enterprise content as a storage issue, organizing documents across shared drives, PDFs, presentations, and internal systems, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/).

Organizations have built large libraries of customer research, campaign data, transcripts, and institutional knowledge stored in shared drives, PDFs, presentations, and internal systems, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/). Teams often search through folders and reopen old reports to piece together information manually across disconnected systems, making it difficult to use existing data efficiently when decisions are needed.

Gmail announced its AI Inbox feature on March 31, aiming to use artificial intelligence to organize and prioritize emails, potentially altering how users interact with their inboxes. According to MarTech, this update allows AI to decide which emails are relevant before users scroll, drawing parallels to how Google handles search queries.

At the May 2026 MarTech Conference, a panel moderated by Angela Vega, director of capabilities and operations at Expedia Group, featured Alec Haase from High Touch, Sean Nowlin from Spotlight IQ, and Ed Poppe from Poppe Marketing discussing how brands can create personalized customer experiences without appearing intrusive.

Amplitude and Statsig have partnered, with Amplitude taking over the Statsig brand and customer base as announced in May 2026, while the original Statsig team continues at OpenAI following its $1.1 billion acquisition of the company last year, according to [MarTech](https://martech.org/amplitude-and-statsig-deal-raises-questions-for-customers/).

Artificial intelligence sits at the center of modern demand generation, touching nearly every buyer interaction through targeting, personalization, content creation, and journey orchestration, according to Demand Gen Report. This technology promises greater relevance, faster execution, and more efficient scale, with AI adoption having surged in recent years. However, buyer confidence hasn’t kept pace, as just 32% of U.S. respondents say they trust AI, based on the 2025 Edelman Trust Barometer.

Digital marketing has settled into a stable system over the past few decades, relying on predictable cores like SEO, content marketing, social media, and digital advertising, according to [MarTech](https://martech.org/ai-seo-punishes-lazy-marketing-strategies/). AI search has disrupted this comfort by exposing inconsistencies in fragmented campaigns, as it draws on broader signals from multiple sources.

Digital marketing has settled into a stable system over the past few decades, relying on predictable cores like SEO, content marketing, social media, and digital advertising, but AI search has disrupted this by drawing on broader signals and exposing inconsistencies in fragmented campaigns, according to [MarTech](https://martech.org/ai-seo-punishes-lazy-marketing-strategies/).

According to MarTech, AI is already transforming how customers discover products and how organizations compete for growth, yet many marketing leaders are primarily evaluated on campaign execution. Gartner research shows that while 82% of business leaders believe their company’s brand and culture must evolve with AI, only 15% of CEOs view their marketing leader as strongly AI savvy, creating a gap that threatens marketing's strategic relevance.

Gartner research indicates that the average...

AI is already altering how customers make discovery and buying decisions and how organizations evaluate market opportunities and compete for growth, according to [MarTech](https://martech.org/how-marketing-leaders-are-succeeding-in-the-ai-era/). Despite this shift, many marketing leaders are primarily evaluated on campaign execution rather than guiding enterprise transformation.

Gartner research reveals that while 82% of business leaders believe their company's brand and culture must evolve with AI, only 15% of CEOs view their marketing leader as strongly AI savvy, highlighting a disconnect that threatens marketing's strategic relevance. This gap persists as AI already changes discovery and buying decisions, according to MarTech, forcing organizations to compete in environments they cannot fully control.

AI is already transforming marketing by altering discovery, buying decisions, and market competition, yet many marketing leaders are primarily evaluated on campaign execution rather than guiding enterprise transformation, according to MarTech. Gartner research indicates that 82% of business leaders believe their company’s brand and culture must evolve to keep pace with AI, but only 15% of CEOs see their marketing leader as strongly AI savvy, creating a gap that threatens marketing’s strategic...

As AI lowers barriers to building custom tools and challenges the per-seat SaaS model, companies are reassessing their martech stacks, according to MarTech. In this context, affiliate marketing emerges as a channel that cannot operate as a self-running solution, despite its average return of 12 to 15 times spend.

As AI lowers barriers to building custom tools and challenges the per-seat SaaS model, companies are reassessing which platforms remain essential in their stacks, according to MarTech. This shift, referred to as the 'SaaSpocalypse,' involves replacing software vendors and IT services with AI-enabled alternatives, prompting marketers to evaluate affiliate marketing's role.

Affiliate marketing is not merely a channel but a portfolio of strategic partnerships that demands constant calibration,...

Companies invested $1.5 trillion in artificial intelligence in 2025, according to Gartner, yet 73% of enterprise data leaders identify data quality as the leading barrier to AI success, surpassing issues like model accuracy and compute costs. Additionally, 60% of companies report little to no value from their AI investments, indicating that the root problem lies in underlying data rather than the technology itself.

As discussions around the 'SaaSpocalypse' highlight companies replacing software vendors and IT services with AI-enabled tools, marketers are reassessing which platforms remain essential in their stacks, according to [MarTech](https://martech.org/why-affiliate-marketing-still-needs-humans-in-the-ai-era/).

This week's updates highlight how AI is transitioning from analysis to execution in martech, with adMarketplace releasing a tool that places advertisements within AI search engine responses and ASAPP introducing software agents for customer service tasks, all as reported on April 30, 2026, according to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/).

This week's updates, as detailed on April 30, 2026, demonstrate how AI is shifting from analysis to execution across marketing technologies, according to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/). adMarketplace released a tool that places advertisements within AI search engine responses, using a machine learning model to match commercial results with user query intent.

This week’s updates, as detailed in a MarTech report dated April 30, 2026, demonstrate how AI is transitioning from analysis to execution across marketing technologies, with companies like adMarketplace placing ads directly inside AI search responses and Braze rolling out agents that automate campaign decisions.

This week's updates from MarTech highlight how AI is transitioning from analysis to execution, with tools like adMarketplace placing ads directly inside AI search responses and Braze rolling out agents that automate campaign decisions. According to MarTech, these developments occurred as of April 30, 2026, emphasizing a shift toward AI-driven tools for B2B SaaS revenue teams in areas such as search optimization and customer interactions.

This week's updates, according to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/), show AI shifting from analysis to execution across various martech tools, with releases on April 30, 2026, including ad placements in AI search responses and automated agents for campaign decisions. adMarketplace released a tool that places advertisements within AI search engine responses, using a machine learning model to match commercial results with user query intent.

This week's AI advancements in martech, as detailed in updates from April 30, 2026, show tools shifting from analysis to execution, with companies like adMarketplace placing ads in AI search responses and Braze automating campaign decisions. ASAPP's agents handle customer service tasks by interpreting speech and text to resolve support tickets, while Floyi's framework audits website content for generative search visibility, according to...

This week's updates, dated April 30, 2026, demonstrate AI's rapid shift from analysis to execution in martech, with companies like adMarketplace and Braze releasing tools that integrate AI into search responses and marketing automation, according to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/).

adMarketplace released a tool that places advertisements within AI search engine responses, using a machine learning model to match commercial results with user query...

This week's AI-powered martech releases, dated April 30, 2026, demonstrate rapid integration of AI into various marketing functions, with companies like adMarketplace and Braze introducing tools for search and campaign automation, according to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/).

adMarketplace released a tool that places advertisements within AI search engine responses, using a machine learning model to match commercial results with user query...

Xactly and ServiceNow have introduced the Dispute Management AI Agent as the first innovation from their AI-driven collaboration, according to Demand Gen Report. The agent is powered by the Model Context Protocol and integrated with ServiceNow Now Assist, enabling secure, real-time coordination between Xactly’s AI-powered revenue platform and ServiceNow’s conversational AI to automate compensation inquiries and dispute workflows end-to-end.

The Dispute Management AI Agent reduces the manual...

Marketers are replacing SaaS tools with AI-built alternatives, resulting in vendor churn and a 35% year-over-year decline in renewals for single-function martech tools among mid-market firms, according to Chiefmartec & MartechTribe’s “Martech for 2026 Report.” Chris Penn, co-founder and chief data officer at TrustInsights.ai, states that vibe coding makes software a complete commodity, with about 63% of its users being non-developers, as reported in Superframeworks’ “Vibe Coding Tipping Point...

In the rush to implement artificial intelligence for marketing and operations, organizations often neglect the importance of clean, accessible, and connected data, according to Demand Gen Report. The article highlights that AI systems may launch on time with sophisticated models and impressive dashboards, but marketing teams frequently abandon them within weeks due to untrustworthy recommendations stemming from weak data foundations.

Marketers are replacing SaaS tools with AI-built alternatives, which is driving churn and altering where value resides in martech, as detailed in a recent analysis. Mid-market firms have experienced a 35% year-over-year decline in renewals for single-function martech tools, according to reports cited in the article.

Marketers are replacing SaaS tools with AI-built alternatives, resulting in mid-market firms experiencing a 35% year-over-year decline in renewals for single-function martech tools, as detailed in Chiefmartec & MartechTribe’s “Martech for 2026 Report.” Chris Penn, co-founder and chief data officer at TrustInsights.ai, notes that this shift commoditizes software, with about 63% of Vibe Coding users being non-developers, according to Superframeworks’ “Vibe Coding Tipping Point 2026” report.

Mid-market firms have experienced a 35% year-over-year decline in renewals for single-function martech tools, as marketers increasingly replace these with AI-built alternatives, according to data from Chiefmartec & MartechTribe’s 'Martech for 2026 Report'. Chris Penn, chief data officer at TrustInsights.ai, notes that vibe coding makes software a commodity, with about 63% of its users being non-developers, based on Superframeworks’ 'Vibe Coding Tipping Point 2026' report.

Today's buyers research independently, compare options, and form opinions before engaging with sales, as Google AI Overviews now appear across many searches, including those with commercial and transactional intent. This means the first interaction with a brand might be a synthesized answer from multiple sources, requiring brands to compete for inclusion in AI-generated responses rather than just attention.

At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab collaborated on hands-on projects, including creating a marketing tool for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, to generate consistent content across channels. The author developed a story engine that transformed a real impact story into various content pieces while aiming to preserve the organization's voice, as detailed in the article on MarTech.

Iterable, an AI customer engagement platform, has launched Nova Agent, which uses real-time AI to adapt campaigns and ensure precise personalization as programs scale, according to Demand Gen Report. The agent evaluates customer behavior in real time, determines relevant factors, and adjusts messages to reflect current intent, helping maintain deep personalization amid growing complexity.

Artificial intelligence is reshaping how customers discover and engage with brands, but many marketing...

Iterable, an AI customer engagement platform, announced the launch of Nova Agent, which uses real-time AI to adapt campaigns and ensure precise personalization at scale, according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/news-brief/iterable-launches-ai-agent-to-scale-personalization/52538/).

At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab worked in small teams to create marketing tools for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, revealing challenges in maintaining brand consistency with AI-generated content. One team developed a story engine to transform a single impact story into various content pieces across channels while ensuring a consistent voice, as detailed in the lab's hands-on collaboration.

At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab collaborated on creating tools like a story engine for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, to generate consistent content across channels.

At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab engaged in hands-on collaboration to create marketing tools for Harlem Grown, a nonprofit dedicated to urban farming and youth mentorship, where one team developed a story engine to transform a single impact story into various content pieces while maintaining consistent voice.

Marketers at the Spring 2026 MarTech conference's MarTech Vibe Marketing Lab worked in small teams to create tools like a Harlem Grown story engine, which transforms one impact story into multiple content pieces while maintaining consistent voice, highlighting the challenge of ensuring AI-generated content sounds like a specific brand.

Iterable, an AI customer engagement platform, has launched Nova Agent, which uses real-time AI to adapt campaigns and ensure precise personalization as programs scale, according to Demand Gen Report. The agent evaluates customer behavior in real time, determines relevant factors, and adjusts messages to reflect current intent, helping teams maintain deep personalization amid growing complexity.

Artificial intelligence is reshaping how customers discover, evaluate, and engage with brands, but...