Fighting Cognitive Surrender
Leaders are falling into three camps, and those who misunderstand how AI shapes judgment may be the most exposed
But before diving into the main story, here are a few headlines worth noting.
OpenAI unveiled GPT-5.4 this week, highlighting stronger reasoning, coding, and agentic workflow capabilities for business use. The launch signals a sharper enterprise push, with improved accuracy and higher-end performance aimed at making AI more practical for everyday knowledge work.
Anthropic’s new labor-market report argues AI’s real-world impact is still well below its theoretical potential, with no clear rise in unemployment yet among the most exposed workers. Its early warning sign is hiring: younger workers appear to be entering highly AI-exposed roles more slowly, suggesting AI may be reshaping entry-level pathways before broad job losses appear.
a16z’s latest Top 100 Gen AI Apps report shows where consumer AI attention is concentrating. For marketers, the takeaway is clear: AI usage is consolidating around a handful of breakout platforms, making distribution, partnerships, and brand visibility inside those ecosystems more strategic.
Criteo becomes first ad-tech partner in OpenAI’s ChatGPT ad pilot
The move gives brands an early path into conversational advertising inside ChatGPT, signaling that AI interfaces are becoming a new performance-media channel
Three Camps & Cognitive Surrender
I spend a lot of time with marketers and product leaders on the frontlines of the AI shift, and what strikes me most is not whether they believe AI matters. Almost all of them do. It is how differently they understand the scale of the change underway. Broadly speaking, I see three camps emerging.
There are those rushing head first into the future. They understand that AI is not a feature upgrade to the marketing or product stack but far more structural. They are reorganizing teams, rethinking workflows, bringing in advisors like me to help educate and redesign how work gets done, and in some cases rebuilding what technology they use to get work done from the ground up.
There are those taking a wait-and-see approach. They are experimenting with tools, running pilots, and doing just enough to show their CEOs and boards that progress is being made. They are waiting for clearer case studies from other businesses in their industry before committing to deeper and more dramatic change.
There is a third group still in denial. They see AI as just another technology tool, something that can help write better emails, optimize campaigns, generate product documentation, or produce more creative versions of marketing assets. Useful, yes, but ultimately incremental. This group is the most at risk, unless their businesses are protected by strong moats.
I was reminded of this dynamic recently at the Marketing OS Summit in Puerto Rico, where the conversation quickly moved beyond tools. What people are really grappling with now is workflow redesign, organizational structure, and what happens when AI begins shaping not just the output of marketing work, but the thinking behind it.
The data emerging from an important Anthropic labor market study underscores just how relevant this is for marketing. Many of the professions already showing the highest exposure to AI look a lot like the modern marketing and product organization: analysts, researchers, customer service roles, and sales-related functions. Even marketing research roles show meaningful exposure, particularly around activities such as preparing reports, synthesizing insights, analyzing data, and translating complex findings into written communication.
In other words, much of the intellectual work that marketing and product teams do every day already sits squarely within the category of tasks where AI is beginning to play a role.
What is striking, though, is how early we still are. AI today covers only a fraction of the tasks it could theoretically perform. There remains a large gap between what the technology is capable of and how deeply it is embedded in everyday work. But that gap is closing quickly as capabilities improve and organizations begin weaving AI more deeply into their workflows.
And that shift raises a deeper question about how work itself is changing. The question is not just how AI will change marketing workflows, but how it may reshape decision-making across product, technology, and growth organizations.
The Risk of Cognitive Surrender
Which brings me to a concept I have been thinking about a lot lately: cognitive surrender. If AI is beginning to reshape how work gets done, the next question is whether it is also beginning to reshape how we think.
A recent research paper by two Wharton professors introduces the idea as a way of describing how human reasoning may be changing as AI becomes embedded in everyday work. For decades we have thought about decision-making in terms of two systems: fast intuition and slower, more deliberate reasoning. What this research suggests is that AI introduces something new — a third form of cognition that sits outside the human brain but increasingly participates in the thinking process.
The shift is not simply that AI retrieves information or automates tasks. It increasingly generates answers, explanations, and judgments on our behalf. When those responses arrive quickly, fluently, and confidently, people often stop interrogating them and begin to treat the output as if it were their own thinking.
That is cognitive surrender.
The research shows that people frequently rely on AI for reasoning tasks and adopt its answers most of the time, even when the AI is occasionally wrong. What is more surprising is that access to AI can increase people’s confidence in their answers, even when those answers turn out to be incorrect. In other words, AI does not just influence what we decide. It can also shape how certain we feel about those decisions.
For marketing, product, and technology leaders operating in high-speed environments, that dynamic matters. AI can dramatically expand throughput, generate ideas, synthesize information, and accelerate analysis. But it can also create the illusion that the work of thinking has already been done when what has really happened is something subtler: we have accepted something polished, plausible, and authoritative without fully interrogating it.
The Real Divide Among Leaders
That is why the real divide between those three camps of marketing and product leaders is not simply about adoption speed. It is about whether they recognize that AI is beginning to reshape how judgment itself operates inside organizations. The leaders rushing ahead understand that this moment requires rethinking workflows, team structures, and decision processes. The wait-and-see group is experimenting but still treating AI as a layer on top of existing systems. And the ones in denial are assuming the core nature of marketing work will remain largely unchanged.
My bet is that the future will belong to leaders who recognize that AI is not just another tool in the stack. It is beginning to reshape how thinking itself happens inside modern organizations.
And the real challenge will not be in just adopting AI faster. It will be learning how to work alongside it without surrendering too much of what makes human judgment valuable in the first place.
Where I’ve been
Last week I joined Lara Vadenberg and Harry Kargman at the Marketing OS Summit in Puerto Rico as I kicked off an East Coast trip for board work and client visits. Lara is building an impressive and much needed business with Assemble, and it is exciting to have a front row seat to that progress as an early investor. The summit itself was thought-provoking, and I also enjoyed catching up with several old friends from across the marketing ecosystem while making some new ones as well.
What I’m reading
The Complete Guide to Building Skills for Claude (Anthropic)
This AI agent freed itself and started mining crypto (Axios)
9 rising stars of brand marketing share how they’re using AI (BI)
DC’s AI Power Struggle Becomes a Marketing Headache (Adweek)
What I’ve written lately
Who Remembers Wins (February 2025)
2025 AI Predictions: Identity & Agents (February 2025)
Claude Picked a Fight at the Super Bowl (February 2025)
AI Everywhere, Wisdom Nowhere (January 2025)
Authenticity is Dead (January 2025)
Shiv Singh is the CEO of Savvy Matters, which helps business teams translate AI disruption into practical business and marketing strategies, organizational design, executive-ready roadmaps, and bespoke education programs. He is also the Co-Founder of AI Trailblazers, a vibrant community uniting marketers, technologists, entrepreneurs, and venture capitalists at the forefront of AI.
A former two-time Chief Marketing & Customer Experience Officer and author of Marketing with AI for Dummies (4th print run, translated into five languages), Shiv built his career at LendingTree, Visa, PepsiCo, and The Expedia Group, and serves as a public-company board member of a Fortune 300 company and private investor.