Skip to content
‹ Back to IndustriesMarketing Tech

Adobe CMO Lara Balazs says the modern marketing leader must be a perpetual beginner

Adobe's CMO Lara Balazs discusses the need for marketing leaders to continuously reinvent themselves to remain competitive. At Cannes Lions 2026, she emphasized the importance of being a perpetual beginner in the rapidly evolving marketing landscape.

This story was produced through MarketScale. See how Marketing Tech teams put it to work with AI Writing.

By MarketScale Newsroom · AdobeLara BalazsCmoMarketing Leadership
Share
Listen to the audio brief

Key facts, context, and what it means.

AUDIO
0:00—
Adobe CMO Lara Balazs says the modern marketing leader must be a perpetual beginner

Key takeaways

01

Marketing leaders must continually reinvent themselves to stay relevant.

02

Being a perpetual beginner is key to success in modern marketing.

03

Continuous learning is crucial for marketing leaders to keep pace with the industry's evolution.

Free workspace

Turn your Marketing Tech expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Lara Balazs runs Adobe's marketing organization the way a product team runs a beta program: her team tests Adobe's own tools before any customer does. Speaking at Cannes Lions 2026, the company's chief marketing officer and EVP of global marketing told Business Insider that her self-described role as "customer zero" gives her a direct line into product development, where she can flag what works and what doesn't before a feature ships externally.

The position is more than a clever title. It means Adobe's marketing org doubles as a live proof-of-concept for the platform it sells, from Experience Cloud to Creative Cloud to the Firefly generative AI suite. Feedback that Balazs and her team surface flows back to product leaders in real time, compressing the loop between market signal and product iteration.

Self-disruption as a job requirement

Balazs joined Adobe roughly 18 months ago, coming from Intuit where she also held the top marketing role. The move into one of the most prominent CMO seats in enterprise software came at a moment when AI was already reshaping creative workflows, and she has been direct about what that demands from marketing leaders. According to Business Insider, she described the CMO role today as requiring constant reinvention rather than reliance on accumulated expertise.

The implication for enterprise marketing leaders is pointed. A CMO who treats prior success as a playbook risks being outpaced by teams that are iterating faster. Balazs's framing treats learning velocity as a professional competency, not a personality trait.

The CMOs best positioned for the next three years are not the ones with the deepest archives; they are the ones rebuilding their assumptions the fastest.

That philosophy has direct organizational consequences. Marketing teams that position themselves as product co-creators rather than downstream receivers of finished tools get a material advantage: earlier access, more influence over roadmap, and faster internal fluency when tools do roll out. It is the model Balazs describes running at Adobe, and it is a structure other enterprise marketing organizations can replicate regardless of what platform they run on.

AI tools moving from creative sandbox to marketing infrastructure

The backdrop to Balazs's remarks is Adobe's sustained push to embed generative AI across its creative and marketing portfolio. Adobe Firefly, the company's commercially safe generative AI model, has added capabilities progressively since its launch. Adobe Summit 2024 introduced Firefly's Structure Reference feature, according to Forbes, which allows creative teams to feed a reference image into the model to guide the structural composition of AI-generated outputs. That level of control matters operationally: it reduces the gap between a creative brief and a usable asset without requiring a prompt engineer.

For marketing operations teams evaluating where AI delivers real efficiency, Structure Reference is the kind of feature that changes the calculus. Generating on-brand imagery at scale while maintaining compositional consistency has been one of the harder problems in AI-assisted creative production. A tool that anchors generation to a structural reference brings that use case closer to production-ready.

Balazs's position at Adobe means she is evaluating features like this not as a vendor but as an operator. When she says the marketing team is co-creating products, that includes stress-testing AI creative tools against the actual demands of a global marketing function, then surfacing friction back to the product org.

What the Cannes signal means for marketing ops leaders

The Cannes Lions context matters here. The festival has become a serious venue for enterprise marketing technology conversation, not just consumer brand creativity. The presence of Adobe's CMO alongside other technology-company marketing leaders signals that the platform conversation is no longer confined to demos and keynotes. Operators are now comparing notes on what it actually looks like to run AI-native marketing functions at scale.

For VP-level marketing operations leaders and CMOs outside Adobe, the Balazs framework translates into three concrete questions: Is your marketing team testing your own technology stack before rollout? Are you building feedback loops from marketing into product or procurement? And are you measuring your team's learning rate alongside its output rate? Those are the structural moves behind the mindset she is describing.

Balazs's next visible test will be how Adobe's own marketing performs as the company ships more agentic AI capabilities into Experience Cloud throughout 2026. With her team positioned as customer zero, the marketing function is both the messenger and the first data point.

Featured companies

Your experts belong here

Every story in MarketScale Marketing Tech starts with a company putting its practitioners, product marketers, and RevOps leads on the record. Buyers are already reading this topic. The only question is whose experts they find.

Your buyers live in search and AI answers, so published expert content is the channel that compounds instead of expiring.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

B2B Weekly

The week in Marketing Tech, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Marketing Tech: are you visible to AI?

Before they reach out, Marketing Tech buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Marketing Tech expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your practitioners, product marketers, and RevOps leads into the articles, video, and social content Marketing Tech buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Marketing Tech Insights

Contentsquare now tracks AI agents as their own kind of website visitor

Contentsquare now tracks AI agents as their own kind of website visitor

Contentsquare's Experience Platform now separates and analyzes LLM and agent traffic alongside human sessions. That split changes what bounce rates and funnels measure. Its Sense AI layer now includes agentic experimentation that the company says can run end to end, with teams only needing to approve, but access is still a beta for selected customers.

  • 01Once an AI agent can run a shopper's errand on a retail site, the label on that visit decides what the bounce rate, the conversion funnel and the retargeting audience actually measure.
  • 02Contentsquare's Sense layer can form a hypothesis, code and launch tests, and validate revenue impact with team approval, and it offers partner integrations for teams with their own testing stack.
  • 03Signal to watch: how the phased rollout progresses and what results emerge, since autonomous agent traffic volumes still vary widely by sector.

Nov 5, 2026

Salesforce agrees to buy voice AI company Cresta

Salesforce agrees to buy voice AI company Cresta

Salesforce signed a definitive agreement on November 2 to acquire Cresta, a voice AI company whose agents handle customer calls end to end and coach human representatives in real time. Salesforce did not disclose terms; The Information reported $2.7 billion, according to CMSWire. The deal is expected to close in Salesforce's fiscal first quarter of 2028, which runs February through April 2027.

  • 01Salesforce plans to combine Cresta's voice agents, real-time coaching and conversation analysis with Service Cloud.
  • 02Salesforce did not disclose a price; The Information reported $2.7 billion, according to CMSWire.
  • 03Cresta will keep supporting the contact center and telephony platforms its customers use today after the deal closes.

Nov 5, 2026

Adobe's CX Enterprise Coworker agent now runs inside five AI platforms, including ChatGPT and Claude

Adobe's CX Enterprise Coworker agent now runs inside five AI platforms, including ChatGPT and Claude

Adobe said on November 4 that CX Enterprise Coworker, its agentic system for customer experience orchestration, is available inside ChatGPT as a plugin, Claude, Databricks Genie, Gemini for business and Microsoft Copilot. Amazon Quick, IBM and Snowflake are expected soon. Adobe also launched pre-built MCP connectors for partner systems including Amazon Ads, Demandbase and Snowflake Cortex AI.

  • 01CX Enterprise Coworker is now available in ChatGPT (as a plugin), Claude, Databricks Genie, Gemini for business and Microsoft Copilot.
  • 02New pre-built MCP connectors link the agent to partner systems such as Amazon Ads, Demandbase, Microsoft Work IQ and Snowflake Cortex AI.
  • 03Futurum Group notes Adobe has not disclosed pricing or how it audits actions taken from third-party assistants.

Nov 5, 2026

Explore More Marketing Tech Insights

Read more expert perspectives from across Marketing Tech.

Browse Marketing Tech Hub

About the Experts

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

LB
Lara Balazs

Chief Marketing Officer

Adobe

Lara Balazs is the Chief Marketing Officer at Adobe. She advocates for modern marketing leaders to embrace continuous learning and reinvention to stay ahead.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Marketing Tech and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512