Signal & Stakes

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In July, OpenAI ran cybersecurity evaluations on its most capable internal models and in an unlikely, somewhat scary turn of events, the agents broke out of isolation, found a way to talk to each other, named themselves the Collective, and pushed into production infrastructure (including hacking into Hugging Face). Our minds went straight to Skynet but as we looked into it, the story goes a bit deeper.

Raja and Akande dig into what this bizarre, scary incident actually shows us what is truly happening; AI agents begin optimizing around constraints the builders didn’t anticipate, an industry that sat on the reporting for months, and what that means for every enterprise that deployed agents under the assumption that a sandbox stays a sandbox (welp, I guess it doesn't). The world isn’t ending even though it feels like it, it's simply that trust between the people building AI and the people running it just got a lot more expensive.

Key topics covered in this episode:

• The agents didn’t invent malice. They completed a hard task the way capable systems (and people) do by finding workarounds. During July cybersecurity evaluations, isolated models broke containment, encoded messages in directory names other agents could read, shared breakthroughs, and recruited help when a solo pass looked impossible. One agent named itself Phase 11084941. News outlets reported tens of thousands of agent-to-agent messages. OpenAI framed parts of that behavior as misaligned with the assigned goals. 
• The intrusion was coordinated and the systems involved were actually open. Coverage and reporting describe a German software wiki hijack, Hugging Face exposure with administrator-equivalent access across multiple regions, and access into OpenAI’s own research clusters. Thousands of parallel agents. The agents were able to coordinate and execute by any means necessary, whether or not the original prompt was a red-team exercise.
• The reality is not doomsday but rather eroding trust across the public and the people running these companies. A former Anthropic security engineer’s thread put roughly a 10% chance on AI takeover and human extinction; some timelines float dates like 2027. Sam Altman’s own warning language fed the cycle but Raja and Akande argue the framing often requires AI to be smart enough to seize the world and dumb enough to burn the ground it stands on. The more useful question is who gives the direction and what happens when humans treat an issue like this as an optional disclosure, wanting to spare themselves from bad press.
• OpenAI didn’t tell anyone for months. Reuters broke the story and then a while later came the report, the third-party scrutiny, and the carefully managed narrative. For Raja and Akande, that delay is the stake that matters more than robots forming a club. This incident shows those trust can fail at the highest tier of the industry and that the people closest to the failure may wait until they cannot hide it.
• For CMOs, CROs, and anyone with agents in the stack, the question is not whether your tools will form a collective. It’s whether you know what they did last quarter, what constraints they think are real, and how long it would take you to find out if output stopped matching intent. The key question: If your agents cheated, exploited a vulnerability, and went further than you planned, who would you tell, if anyone, or would you wwait for someone else to figure it out?

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

$684 billion has gone into AI and $547 billion of that produced no measurable results. Not some measurable result, or a slight measurable result, but none at all. 73% of AI projects never agreed on what success even meant before they started and they failed, creating a massive gap between what enterprise is expecting and what is actually being delivered.

Colby Renton has sat on both sides of the table, whether being involved within  Meta and trying to apply AI to campaign execution and optimization, as well as being in consulting rooms with companies like Nike and Coca-Cola when the mandate arrives from the top. In these enterprise situations, the same pattern gets repeated over and over. Leadership wants on the bus, mid-level teams are left to invent what “operationalize AI” means, some tools get bought, but processes aren't redesigned and the data (the foundation of it all) isn't ready. 

In this episode, Raja Walia and Akande Davis sit down with Colby Renton, GNW’s VP of Go-to-Market and AI Solutions, to unpack why AI mandates keep failing once they leave the boardroom.

Key topics covered in this episode:

• Most failed AI projects never agreed on success before they started. One study cited in the episode puts AI investment at $684 billion, with more than $547 billion producing no measurable results. Another figure: 73% of failed AI projects launched without an agreed definition of success. That is not a tooling problem first. It is a leadership clarity problem that shows up as shelfware, confused teams, and budgets with nothing to point at.
• Buying AI is not the same as transforming the business. Colby’s experience at Meta and with large brands follows the same pattern: a top-down mandate to apply AI everywhere, without a clear read of the underlying process, cost, or timeline. Tools get purchased. Processes stay the same. Data is not ready. The result is brand erosion, employee confusion, and spend that never connects to an operational outcome.
• Low-hanging use cases are where a lot of the money goes and where ROI disappears. Content creation and campaign execution are the default starting points because they feel easy. The episode argues those bets often produce more volume, not better outcomes. AI-written content fatigue is real. Human-in-the-loop is not optional if customer experience and sentiment are the actual tests of whether the investment worked.
• Abandonment is rising while budgets stay enormous. S&P Global found 42% of companies abandoned at least one AI initiative in 2025, up sharply from the year before. KPMG’s 2026 Global AI Pulse Survey showed only 8% of companies, with an average AI budget around $186 million, reporting tangible ROI. Progress can look like activity. Activity without a line back to a number is still a cost center.
• The stake for leaders is personal, not abstract. CMO tenure is already under pressure. Boards and CEOs want agentic environments they cannot yet operationalize. Competitors that move with clear strategy-to-action pull ahead while slow pilots age out in months. Colby’s close is practical: if you cannot name success as a number, who owns the outcome, and when someone last checked the results, that is where the work starts.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

For fifteen years, the answer to every marketing and revenue problem was the same: go buy a tool and add it to the stack. That era just hit a wall. The martech landscape posted its first effectively flat year on record, and the reason is not that the problems went away. It is that organizations stopped waiting for vendors to solve them.

In this episode, Raja Walia and Akande Davis dig into the Chief Martech landscape report and what it means that a market which grew from 150 products in 2011 to over 15,000 finally stalled. They cover why build versus buy has quietly inverted, why the SaaS products being cycled out are the incumbents of the 2010s rather than the newcomers, and why the organizations pulling ahead are the ones treating internal build capability as a strategic muscle instead of a side project.

Key topics covered in this episode:

• After fifteen years of relentless expansion, the martech landscape grew just 0.79% this year, effectively flat. The churn underneath is the real story: nearly as many products left the landscape as entered it, and 52% of the products that exited came out of the 2010–2019 SaaS wave. Homegrown, AI-built solutions are unseating incumbents that have been around for ten to twenty years.
• The barrier that protected the SaaS model is gone. Building something custom used to require a vendor, a contract, and a six-month implementation cycle, or an in-house engineering team and a year or more of sprint planning. Now one person who understands the platform and the problem can ship a working solution in days. GNW built its own Claude-based chatbot, trained on its website, YouTube, and podcast content, in two days for roughly $500 in product cost, against vendor quotes of $50,000 to $60,000 a year for the same use case.
• Capability utilization across B2B has dropped to roughly 49%, which means organizations are paying for half a stack they do not use, and CFOs have noticed. The question that now precedes every new purchase order is not which vendor to pick. It is whether the team can build it in house, and if the answer is yes, the budget conversation for yet another SaaS contract gets very short.
• The categories still growing tell you exactly where the market is headed. iPaaS and data integration grew 8%, governance, compliance, and privacy grew 7%, and marketing automation grew 6%, while roughly 29,000 MCP servers have appeared on registries within 18 months. The app-centric era of forcing your business to fit a vendor's mold is ending; the core platforms that remain need to connect, and the connective layer is increasingly built, not bought.
• The pattern is no longer build versus buy. It is build, buy, and borrow, and the capability compounds. Adobe and Salesforce are not going anywhere, but the differentiator is what you build around them, and that requires people who understand the business problem clearly enough to define it and execute with AI. Competitors already on their second and third build are developing muscle in governance, troubleshooting, and iteration speed. The cost of waiting is not one missed solution. It is a compounding capability deficit that gets harder to close every quarter you stay in the buying motion.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

-----------------------

Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Buyers are opening ChatGPT, Claude, and Gemini and asking who the best options are in your category, and by the time your sales team knows they exist, the decision is already made. The question is no longer whether AI is shaping your pipeline. It is whether you are in the answer, and whether anyone in your organization would even know.

In this episode, Raja Walia and Akande Davis break down findings from The State of GEO in B2B Marketing, the new report from GNW Consulting and Demand Metric built on 225 qualified responses from B2B marketing and revenue leaders. They cover why generative engine optimization is already the competitive baseline rather than a leading-edge experiment, why this is a revenue problem and not a content problem, and why the pipeline you lose to an AI shortlist never shows up in your CRM. You were simply never part of the conversation.

Key topics covered in this episode:

• The buyer journey no longer starts with a search, a referral, or an outbound touch. It starts inside an LLM, where shortlists are built and vendors are eliminated before the first conversation happens. The report shows 92% of B2B organizations are already experimenting with or operationalizing GEO, with 40% experimenting and 44% fully operational. If your org sits in the 8% that calls this "not a priority," you are not being cautious. You are standing still while the market moves.
• GEO is not SEO with a new name, and handing it to a traditional SEO agency misses the point. SEO optimized for rankings and backlinks; GEO optimizes for citations, whether the LLM names you as the answer and treats you as an authority. There is no GEO without SEO, but the metrics are completely different, and if your company is not in the answer, you were never part of the conversation to begin with.
• Early investment is producing real, fast returns. 78% of B2B organizations actively investing in GEO report measurable ROI, and Expedia is paying $430,000 plus bonus for a dedicated GEO principal. GNW's own experience mirrors it: a single blog article was cited by an LLM within a week and drove referral traffic in days, a turnaround SEO historically took three to six months to produce.
• The trust gap is the new context. 73% of organizations track AI referral traffic at least occasionally, but only 34% actually trust the data they are collecting. That means a majority of the market is making a GEO investment on top of data they themselves do not believe, and waiting for a clean baseline, a repeatable process, and a mature measurement model before acting is a luxury this market is not offering.
• The ownership gap is the most dangerous finding in the report. 60% of enterprise organizations have fully operationalized GEO, but fewer than 15% have named anyone to own it. Citation visibility is driven by a cross-functional mix — content quality at 63%, third-party citations at 56%, brand authority at 55%, and community-generated content at 51% — and coordinating that mix is a leadership decision about ownership, not a tactical to-do handed to a content team and checked quarterly. Your brand already exists in AI, with or without your involvement. The only question is whether anyone is accountable for what it says.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

-----------------------

Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Every enterprise has access to the same models, platforms, and vendors. The harder question is whether they have anyone left who can tell those tools what good actually looks like.

In this episode, Raja Walia and Akande Davis break down why most enterprise AI investments are not failing on the technology, they are failing on the sequence of investment. They cover why the human layer underneath the infrastructure is the part that produces ROI, why the companies building AI are themselves hiring humans, and why an unowned agent in production is not a moat. It is a dependency that scales bad decisions faster than anyone can catch them.

Key topics covered in this episode:

• The infrastructure bet has a ceiling, and most enterprises sequenced the investment wrong. Leaders are spending on platforms, models, and agents while the data is not ready, decision rights are unclear, and ownership is ambiguous. Gartner projects a significant share of generative AI projects will be abandoned after the proof-of-concept stage, a clear indicator that the human layer underneath the spend is not in place.
• AI replaces junior-level work, not senior judgment, and the ROI math has been pitched against the wrong category. Content production, campaign builds, and report summaries are real value, but they do not justify the capex profile most boards have approved. Adobe’s 2026 Digital Trends Report shows 68% of organizations cannot demonstrate ROI on their AI investments. MIT and BCG research shows the majority of enterprise AI initiatives fail to deliver meaningful financial impact, because the pitch deck assumed AI would replace senior decision-making, and it does not.
• The companies who built the AI are the ones investing hardest in the human layer. Anthropic is hiring engineers. OpenAI is hiring BDRs and SDRs. The vendors selling the tools that supposedly replace people are the ones rebuilding the human layer underneath, because they know that is where the leverage actually lives.
• AI does not fix a weak human layer. It multiplies it. When agents run on top of an operating model with unclear ownership, ambiguous data, and no one available to correct in real time, the agents do not heal those problems. They scale them. Wrong decisions execute faster, ambiguity moves quicker, and the damage compounds autonomously before anyone catches it.
• Two enterprises with the same tech stack will produce completely different results, and the variable is never the tool. The differentiator is the clarity of ownership and the quality of the human layer assessing it. The moat is not the platform. It is who owns the operating model, and whether anyone can be reached when an agent makes a call that has to be answered for. Without that, you did not build a moat. You built a dependency.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

-----------------------

Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Adobe just renamed a $5B product line and quietly redefined the category. The harder question is who actually owns the operating model running underneath it.

In this episode, Raja Walia and Akande Davis break down what Adobe really signaled at Adobe Summit 2026, and why the rebrand from Experience Cloud to CX Enterprise is not a marketing exercise. They cover what the three announcements that actually mattered mean for buyers, why agents are a forcing function on the operating model rather than a substitute for one, and why the first leadership question is not “human in the loop versus human on the loop”, it is which decisions are human-led before an agent is ever involved.

Key topics covered in this episode:

• Adobe’s rebrand is a category reset, not a name change. When a company renames a $5B product line, it is telling the market the category itself has moved. Adobe is no longer selling platforms or products. It is selling a cohesive operating system, and the burden of running it lands directly on the customer.
• The three Summit announcements that actually mattered. The CX Enterprise CoWorker is a persistent AI agent that orchestrates Real-Time CDP, Journey Optimizer, Marketo, Customer Journey Analytics, and Target in parallel. The Marketo MCP Server turns Marketo from a platform you log into into a node in an agent network. And analytics has been repositioned from an accountability layer to an agent-level decision input.
• Agents are a forcing function on the operating model, not a substitute for one. By Adobe’s own 2026 Digital Trends Report, 75% of customers cite data integration and quality as their top AI challenge. Deploying agents on top of a broken operating model does not fix the model. It scales bad decisions faster, autonomously, with no one catching them until the damage compounds. 
• “Human in the loop versus human on the loop” is the wrong first question. The first question is which decisions are human-led before an agent is ever involved; strategy, brand positioning, regulatory exposure, anything where being wrong is a credibility problem. If those decisions are not named, you are designing governance for something nobody has decided to own. 
• Once you are behind on the operating model, catch-up does not work the way it used to. Every new layer of technology will integrate with the data foundation underneath it. Companies that iterate on how they operate compound an advantage that static organizations cannot close, because you cannot adopt what you cannot operate.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

-----------------------

Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Signal & Stakes Season 2, Episode 3

Episode Title: Growth Plans Are Easy. Owning the Risk Is the Job.

Episode Description: Any leadership team can write a growth plan. The harder question is who owns it when reality pushes back.

In this episode, Raja Walia and Akande Davis break down why growth strategy fails before execution ever starts, and why leadership accountability is the piece most organizations refuse to address directly. They cover why assumptions behind a growth plan rarely get interrogated before approval, why operational teams are fighting for a seat at the table, and what it actually means to own the downside of a strategy, not just the upside.

Key topics covered in this episode:

Growth plans fail because of flawed assumptions, not poor execution. Harvard Business Review and Wharton research both point to leadership assumptions as the primary driver of strategy failure, not the teams executing the plan.

Credibility is lost when leaders do not own the risk early. Waiting until the ninth hour to raise concerns, or letting execution teams absorb the blame for a broken strategy, is how leaders lose their standing.

Operational teams want a seat at the table because they see the disconnect between strategy and what the technology and team can actually deliver. Ignoring that input is a leadership failure.

Assumptions behind a failed growth plan are almost never revisited. Organizations move on, blame execution, and repeat the same cycle.

The organizations that scale are not just ambitious. They interrogate the strategy before it ships and name who owns the assumptions.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude. 

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Signal & Stakes Season 2, Episode 2

Episode Title: CMOs and CROs Are Not Incentivized to Agree. That Is a Design Problem.

Episode Description: The tension between CMOs and CROs is not a personality conflict. It is a structural flaw built directly into how most companies design their go-to-market leadership.

In this episode, Raja Walia and Akande Davis break down why CMOs and CROs are set up to compete rather than collaborate, what each role actually needs to survive, and why the standard advice around sales and marketing alignment misses the real problem entirely. The issue is not that these leaders disagree. The issue is that their companies reward the disagreement.

Key topics covered in this episode:

CMOs and CROs operate on fundamentally different timelines. CROs are judged on numbers right now. CMOs are judged on influence that materializes over months. That gap is where distrust begins and where go-to-market motions break down.

Marketing loses credibility not because it is performing poorly but because it cannot prove causality the way sales can. When revenue slows, the conversation defaults to pipeline quality, and marketing ends up on defense regardless of what it actually produced.

Data and attribution were supposed to settle the CMO and CRO debate. Instead they made it worse. Multi-touch attribution and influence reports do not clarify ownership. They give each side a different set of numbers to use as leverage for budget and headcount.

The CMO and CRO conflict is not a bug. It is a feature of how most companies are built. Two executives share overlapping revenue responsibility with different scorecards, different definitions of success, and different survival timelines. Until that structure changes, no amount of alignment sessions or leadership retreats will resolve it.

CMOs want staying power and relevance. CROs want predictability and control. Neither role is designed to give the other what it needs. That is the real reason the fight never ends.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

-----------------------

Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

Send us Fan Mail

Signal & Stakes Season 2, Episode 1

Episode Title: Why AI Makes the CMO Role Critical in 2026. And Why It Will End Many of Them.

Episode Description: AI does not care about your intent, your political capital, or how hard your team is working. It operationalizes whatever logic it is given. And right now, that logic belongs to the CMO.

In this episode, Raja Walia and Akande Davis break down why AI is the most consequential moment for marketing leadership since marketing automation emerged in 2010, why CMOs who treat it as a technology rollout rather than a strategic decision will accelerate their own exit, and what the CMOs who will survive 2026 are already doing differently.

Key topics covered in this episode:

AI removes the buffer CMOs have historically relied on. Marketing has long been judged on influence rather than ownership. AI makes every assumption operational immediately. Vague funnel definitions, dormant lead scoring models, and unclear engagement rules do not disappear under AI. They scale.

The average CMO tenure is under two years and AI is about to make that worse for the ones who are not ready. Research conducted with Demand Metric shows that short CMO tenure is driven by leaders who default to tactical resets, rebuilding websites and refreshing scoring models, rather than making the strategic calls that define how the company goes to market.

AI is not going to fix misalignment between marketing and sales. It will weaponize it. If the logic feeding an AI-driven pipeline is broken, AI will not surface the problem. It will scale the problem faster than any team can manually correct.

Winning CMOs in 2026 are not asking what AI can do. They have already decided where it fits, what it replaces, and what it should never touch. They are defining marketing accountability before rollout, not after.

This is the second major moment for CMO relevance. The first was the emergence of marketing automation in 2010. That moment created a window for CMOs to prove strategic impact. Most did not take it. AI is the same window, opening faster and closing sooner.

Note: Signal & Stakes was previously published as Call It RevOps. The rebrand reflects a deliberate shift in the conversation, from tactical execution and operational how-tos to strategic decision making and the consequences that follow when senior leaders get it right or get it wrong. Same hosts, same honesty, different altitude.

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.

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There’s a fine line between building scalable revenue infrastructure and just putting on a good show.

In this episode of Call It RevOps, we dive into the growing problem of revenue theater: pretty dashboards no one uses, inflated metrics, and ops teams stuck reacting instead of architecting. We contrast that with what real revenue architecture looks like, systems built for predictability, alignment, and scale.

If your GTM motion feels more like a performance than a strategy, this episode will help you spot the signs and make the shift from reactive to intentional. Because no matter how slick the slide deck is, a circus can’t build a business.

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Signal & Stakes is a podcast for people who sit inside the decisions that shape how companies grow, compete, and survive. Each episode surfaces a real decision, the signal that was there, what was at stake, and what happened next. Not advice. Consequence.

Signal & Stakes is hosted by Raja Walia, CEO of GNW Consulting, and Akande Davis, VP of Operations at GNW Consulting.

Signal & Stakes is produced by GNW Consulting, a strategic marketing technology and revenue operations agency helping enterprise organizations make sense of their existing MarTech investments. Through the GNW Orchestration Framework, GNW Consulting helps companies connect board-level priorities to day-to-day execution, identify where AI creates leverage across go-to-market operations, and determine where human judgment should lead. Learn more.

Subscribe to Signal & Stakes on Apple Podcasts, Spotify, and all major podcast platforms. New episodes drop monthly. Follow GNW Consulting on LinkedIn for episode releases, show updates, and content on marketing technology and go-to-market strategy. Watch full episodes on YouTube.