Your GTM Team Doesn't Need Another Upgrade. It Needs a New Operating Engine.
New Korn Ferry research exposes a leadership readiness gap. For CEOs planning 2027, the greater risk may be investing in new capabilities while preserving a commercial operating model that no longer matches how customers buy.
We're Modernizing the Workforce. But Are We Modernizing How Revenue Is Created?
Here's a question worth asking as 2027 budgets are being finalized.
What if your company is investing millions in AI, sales technology, and talent development to make a commercial operating model more efficient when that model itself is contributing to underperformance?
That's the uncomfortable possibility I believe more CEOs need to confront.
Korn Ferry's recently released Talent Trends 2027 research provides an important warning.
Based on responses from more than 1,300 talent and senior leaders across more than 75 countries:
77% say capability gaps will be a greater challenge than talent shortages.
78% believe too few people are prepared for how work will be done in the future.
91% say coaching and people skills will become more important.
Only 6% believe senior leaders are fully prepared to guide AI-driven transformation.
Those findings should concern any executive responsible for delivering a growth strategy.
But I believe they expose something bigger than a workforce readiness problem.
Organizations are changing job descriptions, introducing AI, investing in new skills, and asking employees to become more adaptable.
Yet many are preserving the same functional structures, management practices, incentives, and performance measurements that have governed revenue generation for decades.
Marketing generates leads. Sales converts opportunities. Customer success manages retention. Revenue operations measures performance. Enablement trains people to execute the process.
Each function is being asked to become more productive. But who's redesigning how the entire system creates revenue?
We're investing in the workforce of the future while asking it to execute the GTM operating model of the past.
That contradiction deserves a place on the CEO's 2027 agenda.
The Commercial Productivity Paradox
Consider what has happened across B2B sales and marketing. We've introduced sophisticated CRM platforms, marketing automation, intent data, conversational intelligence, AI-generated content, sales engagement platforms, and increasingly capable revenue analytics.
Organizations have more information about customer activity and more technology to support commercial execution than ever before. Yet access to information is not the same as commercial intelligence. And greater activity is not necessarily evidence of greater effectiveness.
A marketing organization can exceed its engagement targets while generating interest from accounts unlikely to become customers.
An SDR team can increase outreach productivity while contacting buyers who have no reason to engage.
Sales can improve opportunity management discipline while entering buying processes after competitors have influenced requirements.
Revenue operations can improve forecast accuracy without addressing why the organization consistently enters opportunities too late.
Every function can report operational improvements while the enterprise continues to lose competitive position.
That's the problem with optimizing individual GTM functions without examining the performance of the system connecting them.
The financial implications extend well beyond disappointing sales results. When commercial resources are directed toward the wrong accounts, or deployed too late in the buying process, organizations risk higher acquisition costs, longer sales cycles, lower conversion, wasted capacity, and weaker returns on technology investments.
Those outcomes ultimately affect revenue growth, operating margins, and capital efficiency.
A CFO shouldn't be satisfied that an AI investment reduced the cost of producing an outbound email. The more important question is whether the investment improved the economics of acquiring, retaining, or expanding customers.
Productivity measures how efficiently work gets done. Commercial effectiveness determines whether we're doing the right work in the first place.
The distinction matters.
The Buying Process Changed. Most GTM Operating Models Didn't.
One of the most consequential changes in B2B buying is how much customers determine before engaging prospective suppliers.
Bain and Google's research on the B2B buying journey highlights the importance of the Day One List: the vendors buyers already have in mind when they begin evaluating a purchase.
That should challenge how companies think about pipeline creation.
Many traditional GTM engines are designed to identify demand after a buyer demonstrates interest.
A prospect visits the website.
An account shows elevated intent.
A buyer downloads content.
An SDR qualifies interest.
An opportunity enters the CRM.
The process may be highly automated and carefully measured.
But what happened before those activities?
What caused the customer to reconsider its priorities?
Which executives shaped the business case?
What alternatives were considered?
Which suppliers were already influencing the conversation?
And why did the buyer decide that solving the problem was worth funding?
Those questions reveal the limitation of a predominantly lead-driven operating model.
Most GTM systems are designed to manage opportunities once demand becomes visible. Far fewer are designed to recognize the business changes that create demand in the first place.
Consider a manufacturer announcing a significant expansion of production capacity.
That announcement could signal future investments in automation, energy infrastructure, operational efficiency, technology, workforce development, and supply chain capabilities.
For suppliers serving those markets, the commercial opportunity may begin forming long before a buyer visits a website or demonstrates category-specific purchase intent.
The question is whether the GTM organization can recognize the change, understand its business implications, identify the relevant decision makers, and establish credibility before formal requirements are developed. Or whether it waits for a lead.
This is why I believe the distinction between responding to demand and understanding what creates demand will become increasingly important in 2027.
It's also why adding more AI to a reactive pipeline engine doesn't solve the underlying problem.
It may simply make the organization more efficient at arriving late.
Korn Ferry's Research Points to a Bigger Organizational Design Problem
One of the most interesting findings in Korn Ferry's research is that 69% of respondents expect HR, talent acquisition, learning and development, and workforce planning to become more integrated.
The reasoning is straightforward. As job requirements evolve, hiring, developing, deploying, and retaining talent can no longer be managed as disconnected activities.
Organizations need a common understanding of the capabilities required to execute their business strategies.
I believe the same logic applies directly to GTM.
Why should marketing, sales, customer success, revenue operations, and enablement continue to operate through disconnected priorities when their success depends on influencing the same customers and buying decisions?
Consider the typical commercial organization.
Marketing is measured on engagement and pipeline contribution.
Sales is measured on bookings, quota attainment, and forecast performance.
Customer success is measured on retention and account health.
RevOps is measured on process, data quality, and reporting.
Enablement is measured on capability development and program adoption.
None of those measures is inherently wrong. But collectively, they can reinforce a system that rewards functional activity without establishing whether the enterprise is becoming more effective at winning the right customers.
The redesign cannot stop at organizational charts. It must address how information moves, how priorities are established, who makes decisions, how resources are allocated, and which outcomes leadership rewards.
A redesigned GTM operating model doesn't require eliminating functional expertise. It requires eliminating the fragmentation that prevents that expertise from creating enterprise value.
That is a CEO-level responsibility. It cannot be delegated exclusively to the CRO or CMO.
AI Is Accelerating the Need for Redesign, Not Eliminating It
Korn Ferry's research identifies adaptability as the most important workforce skill for 2027.
That finding has direct implications for commercial leadership.
The ability to recognize changing conditions, exercise judgment, and adjust execution is becoming more valuable as AI assumes more routine work.
But adaptability cannot be treated solely as an individual employee competency.
A seller cannot respond effectively to a changing customer priority if the organization's account intelligence is fragmented.
A marketing team cannot redirect resources toward emerging opportunities if budgets and campaign plans are fixed around outdated assumptions.
A sales manager cannot coach complex buying decisions effectively if the management system rewards CRM inspection over customer understanding.
And an AI agent cannot compensate for unclear strategy, inconsistent data, or poorly designed decision processes.
Korn Ferry's separate 2026 research on AI transformation reinforces the issue: only about one in five organizations surveyed had a clearly defined AI ROI framework.
The problem isn't simply whether organizations can deploy AI.
It's whether leadership has designed the operating structures, governance, measurement systems, and human capabilities required to turn AI investments into measurable business value.
For GTM leaders, that distinction is critical. AI can monitor markets, identify emerging signals, synthesize account intelligence, prepare executive briefings, and automate administrative work. But it cannot independently replace the situational understanding developed through direct engagement with buyers, stakeholders, and customers.
Human judgment remains essential in interpreting what matters, determining how to respond, and building the confidence required for a buying organization to make a decision.
AI should improve the quality and speed of commercial decisions, not simply increase the volume of commercial activity. That requires redesigning the work before automating it.
The New GTM Operating Engine Must Start Outside the Company
Most traditional commercial operating models begin with an inside-out view.
What are our revenue targets?
Which products must we sell?
How many leads do we need?
How much pipeline coverage is required?
How many activities must sellers complete?
Those questions are necessary for planning and resource management. But they don't explain where customer demand will emerge, how buying priorities are changing, or which organizations are most likely to need what the company offers.
A more effective operating engine starts outside the company.
What is changing in our target markets?
Which organizations are experiencing developments that may alter their business priorities?
What financial, operational, competitive, or organizational consequences could follow?
Who is likely to influence the decisions?
And where can we establish relevance before the buying process becomes a competitive event?
This is the foundation of Signal-Led GTM™.
The operating system connects five capabilities:
Detect → Interpret → Prioritize → Activate → Learn.
Detect meaningful changes in markets and customer organizations.
Interpret their business implications and potential buying consequences.
Prioritize the accounts and opportunities where those changes create relevance.
Activate coordinated marketing, sales, executive, and customer engagement.
Learn which signals and actions produce measurable commercial outcomes.
The objective isn't to generate more signals or create another dashboard. It's to establish a shared commercial intelligence and execution model. One that connects what is happening outside the company to how resources and decisions are managed inside it.
That changes the conversation from how many leads marketing generated to how effectively the enterprise recognized and influenced meaningful customer decisions.
And it changes the measurement system.
Pipeline coverage still matters. So do win rates, acquisition costs, and forecast accuracy.
But leadership also needs visibility into earlier indicators:
How much of our target market can we monitor for meaningful change?
What percentage of strategic accounts have active executive relationships?
How frequently are we influencing customer requirements before formal evaluation?
How much pipeline originates from strategically prioritized accounts?
Where are we losing opportunities because we entered the buying process too late?
These measures connect market intelligence to commercial execution. They also create a stronger foundation for deciding where AI, talent development, and management attention should be invested.
This Is Where the CEO, CFO, CRO, CMO, and CHRO Must Come Together
The most significant implication of Korn Ferry's research may be that workforce transformation cannot be separated from business transformation.
For commercial organizations, that requires a different leadership conversation.
The CEO must establish how the organization intends to compete and create revenue in a changing buying environment.
The CRO and CMO must align market intelligence, customer engagement, demand creation, and opportunity execution.
The CFO must determine whether commercial investments are improving the economics of growth rather than simply increasing activity or technology utilization.
The CHRO must ensure the organization has the leadership capabilities, role design, incentives, and development systems required to execute the new model.
And RevOps must provide the governance, information architecture, and measurement discipline that connect these decisions.
This isn't an argument for creating another executive committee. It's an argument for making commercial transformation an enterprise responsibility.
Otherwise, the organization risks training people for new roles while preserving the workflows, management practices, and incentives that prevent those roles from delivering value.
You cannot redesign the workforce independently of the work. And you cannot redesign commercial work without reconsidering how the enterprise creates revenue.
Five Questions Every CEO Should Ask Before Approving the 2027 GTM Budget
Before approving another round of technology investments, hiring plans, or sales training initiatives, I would encourage CEOs to challenge their leadership teams with five questions.
1. Are we investing in capabilities that improve commercial outcomes, or simply making existing activities more efficient?
Can leadership connect planned investments to customer acquisition economics, conversion, retention, expansion, or revenue productivity?
2. How early are we entering our customers' buying decisions?
Are we establishing relevance while business priorities are forming, or primarily responding after buyers have defined requirements and identified preferred suppliers?
3. Are our commercial functions aligned around shared customer intelligence and enterprise outcomes?
Or are we still rewarding departmental performance without understanding whether the collective system is improving?
4. Have we redesigned the work before investing in the workforce and technology expected to execute it?
Do our roles, management practices, incentives, decision rights, and development priorities reflect the capabilities our future GTM model requires?
5. What evidence tells us our commercial operating system is becoming more effective?
Beyond pipeline volume and activity, can we demonstrate improvements in early customer engagement, executive access, buying-group understanding, competitive position, and the quality of revenue opportunities?
These are not questions that should be answered exclusively by sales leadership. They belong in the executive operating review. And increasingly, in the boardroom.
2027: Stop Optimizing a System That Needs to Be Redesigned
Korn Ferry's Talent Trends 2027 research makes a compelling case that the nature of work is changing faster than many organizations are prepared to manage.
Skills are evolving.
Managers are being asked to lead through uncertainty. AI is reshaping responsibilities. Organizational boundaries are becoming less useful.
For CEOs, the temptation will be to respond with additional training, new technology, revised job descriptions, and another round of functional productivity initiatives.
Some of those investments will be necessary.
But they will not be sufficient.
A better-trained salesforce operating inside an outdated GTM system is still constrained by that system. The same is true for marketing, customer success, and every other function responsible for growth.
The competitive advantage in 2027 won't necessarily belong to the company with the most AI tools, the largest sales technology budget, or the most aggressive productivity targets.
It will belong to organizations that better understand how their customers make decisions, recognize meaningful change earlier, and coordinate their commercial resources around those decisions.
That requires a fundamentally different operating engine.
One built around market sensing, buyer intelligence, cross-functional execution, adaptive leadership, and measurable commercial outcomes.
For CEOs, the question is no longer whether the workforce needs to evolve.
Korn Ferry's research makes that clear. The more important question is whether the operating system your workforce is being asked to execute deserves to survive the transformation.
And if it doesn't, why are you continuing to invest in making it faster?
About Lucrum Partners
Lucrum Partners helps B2B leadership teams improve revenue performance through buyer intelligence, executive engagement, commercial effectiveness, and revenue governance.
Our Signal-Led GTM™ approach connects market sensing, customer intelligence, and coordinated execution to help organizations recognize and influence buying decisions earlier.
Research references
Korn Ferry, Talent Trends 2027: Skills-Shifting (October 2026). Research involving more than 1,300 talent and senior leaders across more than 75 countries. Source for workforce capability, adaptability, management, and organizational integration findings. https://www.kornferry.com/insights/featured-topics/future-of-work-articles/talent-trends
Korn Ferry, If Everyone Has AI, Who Has the Advantage? (2026). Research on organizational AI readiness, operating model redesign, governance, and ROI measurement. https://www.kornferry.com/institute/if-everyone-has-ai-who-has-the-advantage
Bain & Company and Google, B2B buying research. Research examining early vendor consideration and the importance of the Day One List.
The recommendations for GTM redesign and Signal-Led GTM™ represent Lucrum Partners' strategic interpretation of the cited research. Korn Ferry's survey did not directly measure GTM operating model performance.
Comments