The most dangerous position in business right now is succeeding in a model that's about to change. Your commercial function just hit the same inflection point that transformed software engineering eighteen months ago.
I talk to commercial leaders every week who are delivering results. Revenue is up. The team is executing. Clients are happy, the board is satisfied, and the pipeline is full. And they can't sleep. Because they can feel the ground shifting under a model that's still working. They're all feeling the same thing: the definition of "ahead" is about to change permanently.
They're right. And the last few weeks made it undeniable.
Anthropic shipped Claude Design. Adobe launched the Adobe for Creativity connector for Claude, giving it direct access to 50+ pro-grade tools across Photoshop, Illustrator, Firefly, Premiere, Lightroom, InDesign, and Express. Meta is building toward a future where the creative layer and the targeting layer both disappear. On Meta's Q1 2026 earnings call last week, Mark Zuckerberg said AI will let Meta "develop a first-principles understanding of what you care about" and "create personalized content specifically for people to help you achieve your goals." It's already scaling. CFO Susan Li reported weekly conversations between people and Meta's business AIs grew 10x in four months, from one million to over ten million.
McKinsey's research on agentic marketing workflows, published April 21, confirms the pattern. Agentic systems are running campaign processes 10 to 15 times faster than traditional production, with the potential to power two-thirds of all marketing activities. 90% of CMOs are testing AI. Fewer than 10% have deployed end-to-end workflows that generate measurable value. Almost everyone is experimenting. Almost nobody has built the system. The companies that move from experimentation to foundation first don't just pull ahead. They set the terms everyone else has to compete on.
The infrastructure layer is moving in lockstep. Stripe shipped its Agentic Commerce Suite at Sessions last week. Visa's Trusted Agent Protocol, Mastercard's Agent Pay, Microsoft's Copilot Checkout, Meta's one-click checkout from ads, and PayPal's Agentic Commerce Services all shipped within twelve months of each other. When the payment rails converge on the same architecture in the same year, the supply side doesn't get to opt out. The buyer's agent is going to have somewhere to transact. The only question is whether your business is ready to be on the other end of that call.
Eighteen months ago, Claude Code did this to software engineering. Anyone who could clearly specify what they wanted built could build production-grade software. Engineers didn't disappear. But value migrated. The bottleneck moved from execution to judgment. Companies that understood this restructured. Companies that didn't are still wondering why their AI investments haven't delivered.
The same shift just hit the commercial function. All of it. Advertising, design, marketing, campaigns, copy, brand, content, go-to-market, sales enablement. The entire production layer.
Your commercial team used to be a rock band. The market just demanded an orchestra.
From Rock Band to Orchestra
P&G's new CEO Shailesh Jejurikar named the shift directly at Adobe Summit two weeks ago. "Creativity has become more dispersed," he said. "If we started as rock bands, we have become a jazz band with a loose framework that can scale to the size of an orchestra." That's the CEO of the world's largest advertiser describing the exact transition every commercial leader is being asked to make. Most teams are stuck in the jazz band phase, improvising within a loose framework, and the gap between that and the orchestra is where the next decade of competitive advantage gets decided.
Your commercial team used to be a rock band. A handful of virtuosos, each playing their instrument, producing work whose quality depended on who was in the room. That model made sense when production was the expensive part. The band was small because the instruments were scarce and the musicians were expensive.
What's happening right now is fundamentally different. The rock band is becoming a global orchestra.
An orchestra doesn't replace the musicians. It changes the nature of the performance. One conductor translates a vision into instructions precise enough for a hundred players to execute in concert. They direct the system. The system produces something no individual musician could produce on their own: music with range, nuance, and scale that fills a stadium instead of a room. The hardest part of the transition isn't learning new tools. It's letting go of the instrument.
And the orchestra isn't just louder than the rock band. It's fundamentally more capable. The benefits aren't incremental. They're structural.
The orchestra can customize. Your regional team in São Paulo understands Brazilian consumers better than anyone at global HQ in Cincinnati. In the rock band model, that knowledge was trapped. In the orchestra model, the regional team executes directly. On-brand. At the same quality as global marketing. Because the foundation, the encoded brand system, the rules, the skills, travels with them.
The orchestra can experiment at brand speed. Test fifty approaches to a product launch instead of committing to one. Learn what resonates in-market in days, not quarters. The rock band had to bet on the best idea because producing each variation was expensive. The orchestra plays multiple compositions simultaneously and keeps the ones that resonate.
The orchestra can personalize at a scale that was never economically viable. For a single FIFA World Cup AI campaign, Coca-Cola generated over 120,000 unique fan videos. The rock band could never afford to build for every fan. The orchestra builds all of them.
And the orchestra learns faster. When Monks tested 60 AI-generated ad variants against traditional production for the Hatch sleep wellness brand, AI-driven creative delivered 80% higher click-through rates and 31% lower cost per acquisition. When you can test everything, you stop debating what works in a conference room and start measuring it in market. The competitive advantage isn't producing more. It's learning faster from what you produce.
The orchestra also produces better, not just more. That same Hatch campaign delivered 46% lift in engagement and 97% reduction in production cost. The output improved while the cost collapsed. When the orchestra plays, the music gets better and the tickets get cheaper.
What the Orchestra Sounds Like in Practice
I lived this shift across three different workflows last week, and the pattern was identical in every one.
First, design. I took an existing brand kit and used Claude Design to create a complete set of campaign assets: page templates, social cards, newsletter layouts, article headers across three sizes, content formats for multiple channels. The kind of deliverable that used to take an agency a week or two. It took minutes, and a few iterations. But that wasn't the real shift. The real shift was what happened next. I took the design decisions, the campaign architecture, the asset specifications, and encoded them into a kit of instructions that agents could follow. A reusable system. The output wasn't "here are the assets I made." It was: "here are the rules, the constraints, the quality checks, so that any agent in any workflow can replicate this at scale without me in the loop."
Second, production tooling. The Claude-Adobe partnership gives you an orchestration layer across the entire creative production stack, beyond any single app. Hand it a product photo and a campaign brief. Get social ads for every platform, sized, formatted, on-brand, ready to publish. Upload one video. Get it reformatted for Shorts, Reels, and TikTok in one prompt. Brief to finished asset. In a conversation. In the tools your team already uses. The production handoffs that used to take a team of specialists and a week of back-and-forth collapse into a single directed workflow.
Third, commercial intelligence. I use Claude Cowork to operate answer engine analytics platforms like Searchable.com, running AI visibility analysis, content strategy, and competitive reporting. Claude Cowork navigates the platform, pulls the data, structures the analysis, and drafts the recommendations. My job isn't operating the tool. My job is knowing which questions to ask, framing the analysis precisely enough to get excellent output on the first pass, and reading the results well enough to know whether the insights are right. The specialist skill shifted from platform expertise to domain judgment.
Three workflows. One skill. Specification.
The ability to specify what good looks like with enough precision that a system can produce it. The ability to read the output and know whether it's right. The ability to encode that judgment into instructions that scale.
The Conductor's Real Job
Here's where most leaders underestimate what this shift actually demands of them.
The conductor's job isn't just to direct the performance. It's to build something upstream that makes the performance possible, and then expand what the orchestra is capable of playing downstream.
Upstream, the conductor builds the foundation. The encoded brand system, the creative specifications, the quality architecture. But the real skill is translation. Taking the judgment that lives in the heads of your best creative people, your sharpest strategists, your most experienced brand thinkers, and encoding it into language precise enough that an AI system can execute it at scale. That means going deeper than "our brand voice is bold and human." It means specifying sentence structure, visual hierarchy, content architecture, quality thresholds, edge cases, and exception handling. The foundation has to be technically precise enough for agents to follow and creatively rich enough to produce work that actually resonates.
That foundation then travels downstream. It deploys across every workflow, every team, every market. And this is where the compounding starts. The orchestra doesn't just execute the foundation. It generates data about what works. Every campaign, every variation, every market response feeds signal back into the system. The conductor reads that signal and updates the foundation. Each cycle makes the next one better.
And then something happens that most leaders haven't imagined yet. The orchestra starts taking ground the rock band could never reach.
When production was expensive, you could only afford to show up in a few places. Your best creative went to the flagship launch. Your strategic thinking went to the biggest client. Everything else waited. With the orchestra, the cost of showing up drops toward zero while the quality stays high. Your commercial function can step into entirely new territory: testing a new market segment with brand-quality positioning before committing headcount, launching a service line that was never worth the creative investment, exploring a partnership opportunity with assets that would have taken six weeks to produce. And as AI content proliferates everywhere, analog experiences and physical activations become more valuable, not less, and the orchestra makes them economically viable for the first time. The leaders who see this will use AI to take new ground, not just compress what they already do.
And the orchestra's purpose isn't just to fill a bigger stadium. It's to be callable, discoverable, evaluable, and selectable by the buyers' agents that increasingly mediate the purchase decision. Scale is the visible outcome. Callability is the structural one.
Execution generates learning. Learning improves the foundation. Each cycle expands the scope.
This is the compounding loop that separates the orchestras from the rock bands. The rock band plays the same setlist every night. The orchestra's repertoire grows with every performance.
The Agentic Layer
Now add the dimension most leaders haven't fully processed yet.
Everything I just described assumes humans are still running the workflows. Typing the briefs. Reviewing the output. Clicking publish. That's already changing.
Agentic systems are beginning to operate on behalf of brands autonomously. Operating continuously. Monitoring channels, adapting messaging, optimizing creative, testing variations, deploying across markets, learning from results, and iterating. Without a human in every loop.
Salesforce's Agentforce is deploying autonomous agents that handle lead qualification, meeting scheduling, and deal coaching. Wiley reported a 40% increase in case resolution after deploying Agentforce, outperforming their previous chatbot. And on Meta's Q1 2026 earnings call, CFO Susan Li reported that over 8 million advertisers are now using at least one of Meta's generative AI ad creative tools. The agents are scaling whether the agencies are ready or not.
This is the layer on top of the orchestra. The orchestra still needs a conductor. But the individual sections, the campaign execution across twelve markets, the content adaptation for eight audience segments, the creative testing across fifty variations, increasingly run themselves. The conductor sets the direction, defines the foundation, establishes the quality thresholds. The agentic systems execute continuously within those boundaries.
This is why building the foundation is the single highest-leverage thing a commercial leader can do right now. The team runs during business hours. The agentic system runs continuously. And your customers' agents never sleep either. The quality of the output, the brand coherence, the cultural nuance, the judgment about what "good" looks like, all of it depends on the quality of the instructions encoded into the foundation. Because at 2 AM when your agent is optimizing ad creative for the Australian market and a buyer's agent is evaluating your brand against three competitors, nobody is reviewing the output on either side. The foundation is the reviewer. And the foundation is the pitch.
The foundation isn't just what lets your team scale. It's the artifact the buyer's agent reads. When the agent is in the audience, your brand stops being theatrical and starts being durable. It lives in their memory of you, not on a page they may never visit.
Where Value Migrates
Here's where the rock band model breaks permanently.
The first migration is from production to foundation. This is happening already. Klarna disclosed roughly $10 million in annualized AI-driven marketing savings in 2024, including a 25% cut in external agency spend. In February, Omnicom doubled its IPG-merger synergy target to $1.5 billion, with $900 million planned for 2026 alone, citing accelerated AI and automation deployment as the reason it could move faster than originally announced. The smartest agencies aren't just adopting AI. They're using it to publicly justify cutting themselves down to size. Every dollar and every hour your commercial team still spends on production work is a dollar and an hour not spent on the foundation that will determine your competitive position for the next five years.
The second migration is from centralized execution to distributed capability. When the foundation is strong, the brand shows up consistently regardless of who is executing. The value of a centralized creative services team shrinks. The value of the foundation builders grows. And the value of the people closest to customers, regional teams, sales reps, market specialists, explodes, because they can finally act on what they know without waiting for HQ to produce something. Stop measuring what you produce. Start measuring the system you've built to produce it.
The New Roles
This creates roles that didn't exist two years ago and makes some current roles structurally different.
01: The Foundation Engineer. Before the orchestra can play, someone has to write the score. Most organizations don't have an encoded brand system. They have a PDF style guide, a few templates, and institutional knowledge locked in people's heads. The Foundation Engineer audits what exists, interviews the people who hold the judgment, and builds the encoded system from scratch. They're the bridge between "we know what good looks like" and "the system knows what good looks like." Every other role on this list depends on this one going first.
02: The Brand Systems Architect. Translates brand judgment into operational specifications that agents can follow. Skip "our voice is warm and professional." Go deeper: sentence case, active voice, leading with the specific number before the insight, contractions always, no jargon without a grounding example. They treat the brand system as software. Version-controlled. Documented with the precision of an API. Part creative director, part systems engineer, part product manager. It doesn't exist on most org charts yet. It will.
03: The Commercial Conductor. The senior leader, the CMO, the VP of Commercial, who operates the orchestra. They don't produce. They direct. They set the strategic foundation, define what the brand should mean in each market, establish the quality thresholds, and read the data the system generates to adjust course. The conductor's value isn't in how well they play. It's in how well they hear, how quickly they can read what the market is telling them and translate that into updated direction for the system.
04: The Signal Architect. When production is free and testing is cheap, the scarcest input is the customer insight that makes the brief worth executing. And the nature of insight itself is changing. It used to be a quarterly culture deck from a research firm, macro trends distilled into a PowerPoint. Now it's a live feed. Platforms like Nichefire read discourse, intent, and influence data to surface niche cultural signals at the buyer level, predictive intelligence that tells you what's resonating before it hits the mainstream. Stack that with your CRM data, your market performance signals, your competitive intelligence, and the Signal Architect isn't just writing better briefs. They're connecting data sources that let the orchestra personalize in real time. Insight was always valuable. When production is free, it becomes the single most important input.
These roles won't come from the external talent market. The combination of skills they require, creative judgment plus systems thinking plus domain expertise, barely exists outside of companies that are already building this way. The organizations that start developing these roles internally now will have a structural advantage for years.
For the CEO or commercial leader reading this, the operating model implications are clear. Your foundation is your moat, not your team size. Your people strategy flips toward foundation builders and signal architects. Your org structure flattens as the production middle compresses. And your competitive advantage becomes what you learn from and how fast you learn it. When every competitor can produce great creative at near-zero cost, production quality stops being a differentiator. The orchestra that hears music nobody else can hear yet outperforms the one still reacting to last quarter's data.
The Commercial Shift
Hatch · Coca-Cola · Meta · 2026
97%: Production cost reduction on Monks' AI-native campaign for Hatch, with 80% higher CTR, 46% more engagement, and 31% lower CPA. The output improved while the cost collapsed.
5 to 20%: Month-over-month sales lift Coca-Cola produced across roughly 1,000 retail outlets using AI-driven forecasting delivered to store owners via WhatsApp. The world's most valuable beverage brand ranked #6 on the 2026 Fortune AIQ 50.
10x: Growth in weekly conversations between people and Meta's business AIs in the first four months of 2026, from 1 million to over 10 million. Reported by CFO Susan Li on Meta's Q1 2026 earnings call.
What To Do This Week
Have one conversation with your commercial leadership team. Ask a simple question: of everything your team worked on last week, how much was production and how much was foundation?
Production. Someone took a direction and turned it into a finished asset. The campaign that got built. The deck that got designed. The content that got written. The emails that got personalized. Work that an AI system could now do in minutes.
Foundation. Someone defined what good looks like. Encoded brand judgment into the system. Wrote the specifications that govern quality. Developed the customer insight that made a brief worth running. Read the data to improve the system's output. Work that only your people can do.
You won't need a spreadsheet. The answer will be obvious the moment the question lands. In most commercial organizations, 70 to 80 percent of the work is production.
That's not a resource allocation problem. That's a competitive exposure. Every hour in production is an hour your competitors are already automating. Every hour not in foundation is an hour you're not building the system that compounds.
The companies pulling ahead have inverted that ratio. They've moved production into AI workflows and agentic systems. They've shifted their people to foundation. Their teams are focused higher. Closer to strategy, closer to the customer, further from the production line. They're experimenting faster, personalizing at scale, and learning in weeks what used to take quarters.
Now look at that ratio again. That's the gap between a rock band and an orchestra. Both make music. One fills a room. The other fills a stadium. And the stadium is where your market is heading.
From The Portfolio
That exercise will reveal something uncomfortable. The production work in column one isn't just automatable. It's being automated by your competitors right now. The question is whether you've started building the foundation in column two before the gap becomes permanent.
01: Board of Innovation. When the exercise shows your commercial team is still organized around production instead of foundation. You just mapped the gap between production and foundation. If the ratio confirmed what you already suspected, that your team has the expertise but hasn't built the system, that's exactly the transformation Board of Innovation leads. BOI is an AI Transformation Studio that helps mid-market companies and Fortune 500s redesign how commercial functions operate, moving from rock-band production to orchestra-scale execution. They don't just advise on the shift. They build the operating model that makes it real. boardofinnovation.com
02: Nichefire. When your Signal Architect needs the intelligence infrastructure the orchestra runs on. The Signal Architect role described above requires a fundamentally different kind of data. Not a quarterly culture deck. A live feed. Nichefire is the cultural intelligence platform that reads across discourse, intent, and influence data to surface niche cultural signals at the buyer level, predictive intelligence that tells you what's resonating before it hits the mainstream. Kraft Heinz used Nichefire to spot the intersection of anime culture and Japanese street food before it became a trend, turning a cultural signal into a product launch. Stack it with your CRM data, your competitive intelligence, your market performance signals, and the orchestra doesn't just execute faster. It hears music nobody else can hear yet. nichefire.com
In Closing
The orchestras are tuning up.
The rock bands haven't heard the shift yet.
Twelve months from now, they'll wonder how the music got so much bigger without them.
If this resonates, I'd love to hear from you.
Jason Hauer
Founder & CEO, HauerX Holdings
jason@hauerX.com
Jason Hauer is the founder and CEO of HauerX Holdings, where he backs and builds a portfolio of AI-native companies that accelerate how businesses grow, operate, and compete. From mid-market to Fortune 500.
Frequently Asked Questions
What does it mean to shift a commercial team from a rock band to an orchestra?
A rock band depends on a small group of virtuoso operators producing campaigns by hand. An orchestra encodes the brand system, brief specifications, and quality thresholds into infrastructure that can scale across markets, agents, and channels. Production cost collapses, learning rate accelerates, and the foundation (not the team size) becomes the moat.
What are the new roles on an AI-native commercial team?
Four new roles are emerging. The Foundation Engineer audits institutional judgment and encodes it into a system the orchestra can run on. The Brand Systems Architect translates brand decisions into operational specifications precise enough for agents to follow. The Commercial Conductor (CMO or VP of Commercial) directs the system, sets quality thresholds, and reads market signal to update direction. The Signal Architect connects data sources (CRM, cultural intelligence, market performance) so the orchestra can personalize in real time. These roles don't come from the external talent market. They're built internally.
What does "foundation" mean in AI-native marketing, and why is it the new moat?
Foundation is the encoded brand system: brand voice translated into operational specifications (sentence structure, visual hierarchy, content architecture, quality thresholds, edge cases) that AI agents can follow at scale. When production cost collapses to near zero through agentic systems, team size stops being a competitive advantage. Everyone can produce. What compounds is the foundation, the judgment of your best people, written precisely enough that a system can execute it. The foundation is the reviewer. The foundation is the pitch.
How do you measure the production-to-foundation ratio in a commercial team?
Ask your team a simple question: of everything they worked on last week, how much was production and how much was foundation? Production is turning a direction into a finished asset, the campaigns built, the decks designed, the content written, the emails personalized. AI can now do that in minutes. Foundation is defining what good looks like, encoding brand judgment into the system, writing the specifications that govern quality, developing the customer insight that makes a brief worth running. Most commercial teams spend 70 to 80 percent of their week on production. The companies pulling ahead have inverted that ratio.
Why does production cost collapsing change the structure of commercial teams?
Production used to be the expensive part. That's why commercial teams were structured as small groups of virtuosos. With AI-native production tools (Claude Design, the Claude-Adobe partnership, agentic creative workflows), the cost of producing on-brand assets drops toward zero while quality stays high. When production is near free, three things shift. Team size stops being a moat (everyone can produce). The value of foundation builders rises (encoded judgment is the only durable advantage). And value migrates from centralized creative services to people closest to customers, the regional teams, sales reps, and market specialists, who can finally act on what they know without waiting for HQ.
