Results

Are We at Peak Anthropic?

Are We at Peak Anthropic?

Anthropic has been portrayed as a SaaS assassin. Anthropic launches connectors and plugins to various enterprise apps, and SaaS stocks tank. Anthropic doubles down on Claude Code and Cowork, and suddenly, we're all expected to generate ERP, HCM, and ERP systems on the fly. Anthropic rolls out security code checks, and cybersecurity stocks stumble. Anthropic talks about modernizing COBOL, and IBM shares collapse.

By next week, Anthropic will be making us dinner, collapsing restaurant shares, brewing beer on the fly, and building houses with robots that run Claude as their brain.

Simply put, we're nearing peak Anthropic hype if we're not there already. What's lost in all of these storylines is the nuance. After all, nuance isn't as much fun. Here's a nuanced view of Anthropic because multiple things are true about the LLM giant at once.

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Negotiations, Meetings, and Focus in the Age of AI | DisrupTV Ep. 429

Negotiations, Meetings, and Focus in the Age of AI | DisrupTV Ep. 429

DisrupTV: Negotiations, Meetings, and Focus in the Age of AI

On a recent episode of DisrupTV, co-hosts R "Ray" Wang and Vala Afshar sat down with three experts to unpack some of the most expensive challenges in modern business:

  • Negotiating in B2B environments where buyers are now armed with AI
  • Fixing meeting cultures that quietly drain productivity
  • Using ruthless focus to build the next generation of unicorns

Across pricing strategy, organizational behavior, and startup execution, one theme stood out: clarity of value and focus wins.

Negotiation Is No Longer About Price—It’s About Outcomes

Brian Doyle, CEO of Holden Advisors, explained why B2B negotiations are becoming harder. Procurement teams now:

  • Negotiate daily
  • Use AI-driven benchmarks and playbooks
  • Often have years more experience than frontline sales reps

The result? Sales teams frequently default to discounting.

Doyle recommends shifting from price-based concessions to structured “give-gets”—trading scope or service levels instead of margin. This reframes negotiations around business value and reveals what buyers actually care about.

His advice in an AI-saturated market:
Stop selling features. Start quantifying outcomes tied to:

  • Revenue growth
  • Cost reduction
  • Risk mitigation

Organizations that anchor pricing to measurable impact consistently close faster and protect margin.

Your Meeting Culture Might Be Sabotaging Performance

Dr. Rebecca Hinds (Work Innovation Lab at Asana) made a provocative comparison: many modern meetings mirror tactics from the WWII Simple Sabotage Field Manual—slow decisions, overuse of channels, and endless discussion.

Poorly run meetings now cost organizations an estimated $1.4 trillion annually in wasted productivity.

Her solution? Treat meetings like a product:

  • Eliminate recurring “meeting debt” through calendar resets
  • Use async tools for status updates
  • Reserve meetings for work that requires real-time collaboration

She recommends applying the 4D + CEO test before scheduling:

4D Purpose: Decide, Debate, Discuss, Develop
CEO Content: Complex, Emotional, or One-way-door decisions

If it doesn’t pass both tests—it shouldn’t be a meeting.

Focus Is the Hidden Engine Behind Unicorns

Venture capitalist Dr. Igor Ryabenkiy has backed more than 10 unicorns—and says focus is the most reliable predictor of startup success.

Startups operate with limited:

  • Time
  • Capital
  • Talent

Trying to serve everyone or chase every feature request dilutes execution. The best companies begin with:

  • A clearly defined customer
  • A narrow problem
  • A simple, compelling value proposition

Ryabenkiy emphasizes the discipline of saying “no”—to distracting feature requests, misaligned deals, or vague positioning.

As he puts it:
Universal products often end up selling to no one.

Key Takeaways

  • AI-enabled buyers are forcing sales teams to shift from feature-based to outcome-based negotiations.
  • Meeting overload is often a behavioral problem—not a tooling issue—and can be reduced through intentional design.
  • Startups that maintain a narrow focus outperform those chasing broad markets or feature creep.
  • Quantifying value, protecting time, and clarifying strategy are essential in an attention-scarce economy.

Final Thoughts

Whether negotiating enterprise deals, running internal collaboration, or building the next AI-native startup, the lesson is the same: intentional focus drives performance.

In a world where AI lowers the cost of information but raises the premium on attention, leaders who:

  • Prove measurable value
  • Design time and meetings with purpose
  • Stay disciplined about what not to pursue

will move faster—and further—than those reacting to every request or distraction.

This episode is ultimately a call to refactor how we sell, collaborate, and build in the AI era—starting with where we focus next.

Related Episodes

If you found Episode 429 valuable, here are a few others that align in theme or extend similar conversations:

 

Future of Work Tech Optimization New C-Suite AI Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Experience Officer

From “activation energy” and agent orchestration to donkeycorns and relationship capital, DisrupTV 425 explains what actually separates AI hype from real business impact.

On DisrupTV <iframe width="560" height="315" src="https://www.youtube.com/embed/J5CupyHoVng?si=GHB_W8FIfV0UhJBW" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

Zoho’s Enterprise Play, Peak Anthropic? & 2026 ShortLists

Zoho’s Enterprise Play, Peak Anthropic? & 2026 ShortLists

In ConstellationTV episode 124, CR analyst co-hosts Holger Mueller and Liz Miller deliver a dynamic mix of humor, insightful analysis, and actionable takeaways for anyone navigating the complex world of enterprise technology and SaaS markets. Whether you're an enterprise executive assessing software solutions, an IT strategist exploring AI frameworks, or simply curious about SaaS trends, this episode provides valuable perspectives.


Zoho Day 2026: A Spotlight on Platform Evolution and Leadership Transitions

The episode begins by covering enterprise technology news. The first major deep dive centers on Zoho Day 2026, held in Austin, Texas—an analyst meeting showcasing Zoho’s impressive rise from serving small businesses to expanding globally into mid-market and enterprise spaces. Zoho’s ambition continues to strengthen, with notable moves into ERP systems, starting with a rollout in India and plans for global expansion anticipated around Q3.

Both Holger and Liz praise Zoho for its remarkable focus on simplicity and customer-centric solutions:

  • Liz: “Zoho is simple. It gives our business the exact power that it needs, but it doesn't give us so much that it becomes cost-prohibitive.”
  • Holger adds: “They shared with us what is coming new in their behind-the-scenes architecture...and advancements in low-code/no-code showed promise.”

Evolving Leadership for Future Growth

Zoho’s leadership structure has seen significant shifts, with Sridhar Vembu, previously the CEO, transitioning to Chief Scientist to focus on innovations such as quantum computing. His brother, Mani Vembu, has stepped into the CEO role, tasked with modernizing the core platform and addressing technical debt. According to Holger, “There needs to be a replatforming and elimination of technical debt...This could be Mani's monumental contribution to Indian SaaS history.”

Liz felt strongly about the future potential of the leadership: “Mark my words, Mani is going to do great things." She also emphasized Rana Vembu’s (Sridhar’s sister) integral and often behind-the-scenes contributions to product excellence, stating, "Rana is a force to be reckoned with."

Salesforce’s Acquisition Frenzy: Insights into AI and Data Evolution

Holger gives a detailed analysis of Salesforce’s recent, aggressive acquisition strategy, spanning conversational insights tools, AI frameworks, and platforms that enhance enterprise data capabilities. Salesforce has been rapidly acquiring companies—such as Informatica, Simulate, Qualified, Spindle AI, and Evergreen—to strengthen its AI-related arsenal and better manage the growing challenges of unstructured data.

Liz highlights the scale and magnitude of unstructured data as a pressing issue for AI implementation: “If the average enterprise collects 10 terabytes of data and that's growing at 68% year over year, and 70% of that data is unstructured, we are going to have to figure out what we're going to do with all of that.”

This underscores the opportunity for AI frameworks to transform businesses, as Salesforce leverages its platforms (such as Slack integrations) to deliver actionable insights. As Holger notes, “Slack is becoming one of the overall pieces where pipeline-relevant information is captured.”

Acceleration vs. Velocity: How Salesforce Leads Organizational Transformation

Holger and Liz debate the terminology surrounding organizational progress, calling out differences among speed, velocity, and acceleration.

  • Holger: “It’s acceleration—moving faster and getting growth momentum.”
  • Liz emphasizes velocity’s role in enterprise adaptation: “Velocity matters, but Salesforce’s example of enterprise acceleration shows movement in the right direction.”

Speculation on Anthropic's Influence: Peak Hype or Sustained Impact?

In the next segment, Larry Dignan ponders whether the tech market is experiencing “Peak Anthropic”. Anthropic’s actions, ranging from code modernization to partnerships, are shaking up SaaS stocks, but Larry warns that they mirror hype cycles seen in past eras when companies like Microsoft entered new markets.

Anthropic is both a competitor and a partner for SaaS solutions, leaving the markets in flux.

Larry states: “I don't know if we're at a peak, but the fear around SaaS stocks and the hype around Anthropic—man, the volume’s turned up.”


Constellation Research Shortlists: A Strategic Decision-Making Asset

The episode concludes with an overview of Constellation Research’s newly released 2026 ShortLists. ShortLists are curated rankings of enterprise tech solutions for capabilities such as autonomous IT platforms, generative AI tools, and sovereign cloud infrastructure. These lists, free and openly accessible, aim to simplify the selection process for enterprise buyers and shorten their implementation timeline: “From nine months to two or three,” explains Holger.

Highlights of Shortlist Categories:

  • AI Factories and Agentic Platforms: Liz notes a growing push for platforms that facilitate AI workloads and agentic ecosystems.
  • Generative AI for Content Creation: Larry and Liz's expertise drives a shortlist specializing in AI applications for copywriting and digital content.
  • Sovereign Cloud: Holger emphasizes the importance of sovereignty: “How do you ensure workloads stay within a continent? Does that only mean citizens and passport holders touch the data?”

The shortlists are built entirely on user-driven criteria, focusing on feedback from their executive network: “This is really about the end user... It’s what enterprise buyers directly tell us is important,” Liz explains. Vendors are encouraged to reach out with feedback if they feel shortlisted solutions missed important contenders.


Conclusion

This episode blends in-depth analysis and actionable advice for decision-makers exploring AI tools, SaaS platforms, and tech investments. From understanding Zoho’s rapid evolution and Salesforce’s acquisitions to leveraging Constellation’s shortlists for enterprise selection, the insights shared are tailored for navigating modern technology challenges.

For those eager to dive deeper into the data, trends, and solutions discussed, the full episode provides even more valuable context and lighthearted banter to make complex topics accessible. Stay tuned for future episodes from Holger, Liz, and Larry as they continue driving conversations in enterprise tech!

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How Zoho Is Rewriting Enterprise Software: ZohoDay 2026 Analyst Roundtable

How Zoho Is Rewriting Enterprise Software: ZohoDay 2026 Analyst Roundtable

Live from ZohoDay 2026, Constellation analysts hosted a lively roundtable about Zoho’s strategies, customer impact, and the software industry’s future. This conversation covered themes such as Zoho’s unification strategy, the resurgence of ERP, the launch of AppOS, and transformative customer stories. Here’s a look at the highlights.

Zoho’s Innovation and Unification Strategy

Esteban Kolsky commended Zoho’s consistent innovation and ability to deliver on promises made to customers over the past decade. He highlighted how Zoho's solution-focused approach has shifted away from the traditional focus on individual applications, adding, “Zoho introduces a way to get off the enterprise software hamster wheel.”

The analysts emphasized how Zoho’s unified approach is transforming the software landscape. Holger Mueller described Zoho’s technological accomplishment as “widest and deepest vertical horizontal integration,” while Martin Schneider highlighted the company’s ability to bring apps, data, and analytics together seamlessly. He remarked, “Having analytics on top of that, unlocking strategic value with AI. So really all about unification and simplicity to unlock strategic value.”

Mike Ni expressed admiration for Zoho’s vertical and horizontal innovation, which integrates from applications and AI down to hardware and data centers. He explained, “This is about unification…going not just from applications down to data and AI, but they’re going to the hardware. They’re going to the data center.”

AppOS emerged as a significant milestone for Zoho, blending flexibility and innovation. Liz Miller called AppOS a “big moment” and praised its ability to enable users to build applications that deliver tangible outcomes. Chirag Mehta cautioned against abstraction, stating “the proof is in the pudding” when it comes to real-world use cases and scalability.

ERP Resurgence and Market Disruption

Larry Dignan succinctly declared, “ERP’s back, kids.” This resonated with R "Ray" Wang, who elaborated on the importance of ERP in streamlining operations, managing money, and mitigating risks. “What they’re doing right now is resetting the cost structure around the world,” Wang said. He highlighted Zoho’s ability to disrupt the software market by offering cost-efficient ERP solutions built for scalability.

The analysts unanimously agreed that Zoho’s focus is on reducing software costs without compromising strategic value. Liz Miller noted Zoho’s unique ethos, describing it as an organization that purposefully avoids chasing margins at the expense of innovation: “They don’t want to make more money. They’re happy.”

Surprises from ZohoDay

CR analysts also discussed a few unexpected announcements that revealed Zoho’s ability to disrupt norms. Chirag Mehta emphasized that SaaS is alive and thriving, and highlighted the unveiling of new hardware alongside Zoho’s efforts to address technical maturity. “Platform renovation and innovation are super important. They’re addressing their technical debt well,” Holger Mueller added.

Esteban Kolsky pointed out Zoho’s shift away from focusing on app count: “They don’t care about applications anymore. They just care about solutions.” This fundamental change signals Zoho’s move towards holistic outcome-driven strategies.


Memorable Customer Stories

Zoho’s impact on businesses was brought to life through compelling customer success stories shared by the panelists.

  • Ecolab: Larry Dignan recounted the story of Ecolab, a division that retained Zoho software even after a major acquisition. Despite initial doubts, Ecolab scaled the solution successfully over 12 years. Dignan explained, “Software in most acquisitions would have been tossed.”
  • AcmeBrick: Martin Schneider highlighted AcmeBrick as a classic Zoho success story: “A typical Zoho customer that is resource constrained was able to achieve exponential productivity gains and sell that internally easily.”
  • Newcross Healthcare: Mike Ni shared the story of how Newcross Healthcare achieved a staggering 93% reduction in app costs. He emphasized the organization’s ability to simplify processes, reduce manpower requirements, and eliminate inefficiencies. Liz Miller summarized this type of customer transformation succinctly: “Paid for the next piece of transformation with the savings from the first.”
  • Swiggy: Ni also discussed how Swiggy can transform its data pipeline, reducing operational inefficiencies and enabling proactive decision-making. He described this as simplification at scale: “They brought down the data pipeline execution from 50 people to 15.”


Predictions for Zoho’s Future

The panelists shared bold predictions for how Zoho will evolve over the next few years:

  • R "Ray Wang" envisioned Zoho disrupting the entire software industry due to its focus on cost efficiency and unified platforms.
  • Martin Schneider foresaw Zoho insulating itself with vertical solutions powered by small language models, positioning it to thrive as AI subsidies diminish.
  • Larry Dignan predicted that Zoho would move upstream through integrator partnerships that expand its reach.
  • Holger Mueller emphasized Zoho’s continued investment in AI tools and predicted significant developments from their studios and data platforms.
  • Esteban Kolsky humorously proposed that Zoho's next move would be announcing, “Now that we fixed the enterprise software market, what’s next?”

Liz Miller summed it all up with this reflection: “Watch for Zoho to prove everyone wrong. They always put people before profit, fostering a culture of innovation capable of disrupting and reshaping the software market.”


Final Thoughts

ZohoDay 2026 provided a window into the future of enterprise software, showcasing Zoho’s ability to innovate, unify, and drive transformational outcomes for customers across industries. From redefining ERP to launching powerful platforms like AppOS and Zoho, Zoho is proving that a customer-first approach combined with bold technological strides can revolutionize how software is built, used, and scaled.

Constellation analysts acknowledge and applaud Zoho’s achievements over the past 30 years. Zoho continues to pave the way for a more cost-efficient, unified, and innovative technology landscape.

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From Forced Upgrades to Agentic AI: Rethinking ERP, Innovation, and Leadership | DisrupTV Ep. 428

From Forced Upgrades to Agentic AI: Rethinking ERP, Innovation, and Leadership | DisrupTV Ep. 428

Beating the Odds in an AI Era: Leadership, Probability Hacking, and the Power of Kindness

On the latest episode of DisrupTV, co-hosts Vala Afshar and R "Ray" Wang sat down with:

  • Seth Ravin, CEO of Rimini Street

  • Elizabeth Weingarten, author of How to Fall in Love with Questions

  • James Taylor, author of SuperCreativity

Together, they explored how agentic AI is changing enterprise software strategy, leadership behavior, and even how organizations approach creativity.

ERP Isn’t Going Away—But the Old Model Is

For decades, enterprises were locked into vendor-driven ERP roadmaps—forced upgrades, rigid timelines, and rising maintenance costs that didn’t always align with business outcomes.

Today, that model is breaking down.

ERP environments are increasingly becoming modular and composable, allowing CIOs and CFOs to mix best-of-breed capabilities across finance, CRM, supply chain, and operations. Instead of ripping out core systems, many organizations are layering agentic AI on top of legacy ERP to:

  • Adapt workflows to regulatory or market changes in real time

  • Reduce costly custom code changes

  • Improve agility without destabilizing core infrastructure

In short: modernization no longer has to mean migration.

Agentic AI Is Becoming a Structural Necessity

AI isn’t just a productivity boost—it’s becoming essential infrastructure.

With labor costs rising and global talent shortages accelerating due to aging populations and declining birth rates, enterprises must find ways to maintain performance without scaling headcount. Agentic AI can help organizations:

  • Reduce labor required per unit of output

  • Maintain service levels and compliance

  • Preserve margins under increasing competitive pressure

For CIOs already juggling multiple vendor AI roadmaps, the challenge isn’t adopting AI—it’s deciding which initiatives actually support enterprise strategy versus supplier agendas.

Leadership in the AI Era Requires Better Questions

While infrastructure matters, leadership mindset may matter more.

Elizabeth Weingarten emphasized that in an AI-rich environment—where answers are abundant—the real competitive advantage lies in asking better questions. Leaders who default to speed over reflection risk shallow thinking, confirmation bias, and diminished critical reasoning.

Developing a “questions practice” helps leaders:

  • Navigate uncertainty more effectively

  • Align decisions with organizational values

  • Open new strategic possibilities instead of narrowing prematurely

In the age of generative AI, curiosity becomes a leadership skill—not just a personality trait.

The Rise of Human-AI “SuperCreativity”

James Taylor introduced the concept of SuperCreativity: human creativity amplified by AI collaboration.

AI can now assist with:

  • Audience analysis before key presentations

  • Predicting stakeholder objections

  • Matching innovation ideas with collaborators across the enterprise

Rather than replacing creative work, AI is making human insight more targeted, effective, and scalable—helping surface “backstage heroes” and democratize innovation across teams.

As routine cognitive tasks become automated, creativity is rapidly emerging as one of the most valuable enterprise skills.

Key Takeaways

  • Modernization ? migration: Agentic AI can extend legacy ERP without disruptive upgrades.

  • Autonomy matters: Enterprises must align technology roadmaps to business outcomes—not vendor timelines.

  • AI addresses labor realities: Automation is becoming necessary to offset workforce constraints.

  • Questions are strategic assets: Better inquiry leads to better decisions in uncertain environments.

  • Creativity is scalable: Human-AI collaboration can unlock innovation across the organization—not just in R&D.

Final Thoughts

Agentic AI won’t just change how software works—it will reshape how enterprises make decisions, allocate resources, and compete.

The organizations that succeed in this next era will be those that:

  • Reclaim autonomy from vendor-driven roadmaps

  • Encourage leaders to ask better strategic questions

  • Treat creativity as a core organizational capability

In a world of infinite AI-generated answers, competitive advantage may ultimately belong to leaders who chart their own direction—and remain curious enough to question it along the way.

Related Episodes

If you found Episode 428 valuable, here are a few others that align in theme or extend similar conversations:

 

Future of Work Tech Optimization New C-Suite ERP Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Experience Officer

From “activation energy” and agent orchestration to donkeycorns and relationship capital, DisrupTV 425 explains what actually separates AI hype from real business impact.

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Career Uncertainty: Why Saying “I Don’t Know” Builds Stronger Leaders

Career Uncertainty: Why Saying “I Don’t Know” Builds Stronger Leaders

Careers are often measured by titles and compensation, but leadership decisions are usually shaped by something deeper: understanding your own value.

At the Davos World Economic Forum, Constellation founder R "Ray" Wang joined Udemy's Elizabeth Weingarten to discuss the mindset behind taking risks and building something of your own. A pivotal moment came from a simple question his father asked during a major transition: not “What will you EARN?” but “What are you WORTH?”

In the episode, Ray shares how that shift in thinking ultimately led to starting Constellation Research — moving from earning a salary to investing in ideas, perspective, and long-term impact.

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Integration Tax is the new AI tax, Zoho plans to crush it | ZohoDay 2026 Recap

Integration Tax is the new AI tax, Zoho plans to crush it | ZohoDay 2026 Recap

Zoho Day 2026 did not disappoint. From Zoho's new app OS architecture and de-layered platform vision to a unified data layer powering AI, CRM, and RevTech, the message was clear: integration tax is the new AI tax, and Zoho plans to crush it.

Hear what the Constellation analyst team had to say on personal takeaways and implications for the future of enterprise technology.

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Experience on Our Minds: How Cross-Functional Partnerships Accelerated AI Success in CX at IBM

Experience on Our Minds: How Cross-Functional Partnerships Accelerated AI Success in CX at IBM

Discover how cross-functional partnerships between customer experience leaders and developers are turning AI promise into real-world impact. Liz Miller, VP & Principal Analyst at Constellation Research, shares insights from IBM TechXchange—a “Customer Experience Day” hiding in plain sight among builders and developers.

Liz unpacks:

  • The “two polls” that reveal what developers really worry about with AI (accuracy, training data, and outcomes)
  • Why customer and employee experience is the #1 place builders want to apply AI
  • The challenges teams face with data access, quality, and legacy systems
  • How Scuderia Ferrari and IBM are using AI and up to 10,000 data points per second to transform fan engagement
  • Why CX, data, and AI must become a team sport across marketing, service, sales, commerce, and development

If you’re a customer experience, marketing, service, or product leader wondering how to work better with your builders—and how to turn operational data into unforgettable experiences—this talk is for you.

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Cisco AI Summit 2026 Key Takeaways | With R "Ray" Wang & Chirag Mehta

Cisco AI Summit 2026 Key Takeaways | With R "Ray" Wang & Chirag Mehta

Cisco AI Summit 2026 communicated a clear message through its powerhouse lineup of speakers: AI is real, it’s here, and the gap will widen quickly between those who experiment boldly and those who wait.

Here are key takeaways from CR analysts R "Ray" Wang and Chirag Mehta:

  • OpenAI vs. Anthropic: Two very different cultures and go-to-market motions—consumer-first vs. enterprise-first—but both pushing the frontier fast.
  • Metrics matter (from AWS’s Matt Garman): Most generativeAI POCs fail not because of the tech, but because they lack clear success criteria.
  • Context is everything: Teams that started with A#I from day one are seeing 100x gains vs. ~10x for those retrofitting AI onto existing workflows.
  • Prompt is the craft (from Dylan Field): AI doesn’t replace designers and developers—the value shifts to how well you frame problems and prompts.
  • Beyond digital intelligence (from Fei Fei Li): The next frontier is physical and spatial intelligence—how AI perceives and interacts with the real world.
  • Cisco’s three big gaps: Infrastructure, data, and trust will define who actually wins with AI at scale.

As R "Ray" Wang summarized: we’re entering a world of margin compression, exponential scale (10x/100x/1000x), and seemingly infinite possibilities, but only for those who apply AI with precision and clear order of operations.

Looking forward to continuing these conversations at the Constellation's AI Forum on March 19, 2026, in Menlo Park, CA, where we’ll focus on real-world lessons from Chief AI Officers and operators in the trenches.

Learn more here: https://www.constellationr.com/event/2026/constellations-ai-forum-2026

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SaaSpocalypse, Cisco AI Summit & Agentic GTM KPIs | ConstellationTV Episode 123

SaaSpocalypse, Cisco AI Summit & Agentic GTM KPIs | ConstellationTV Episode 123

In ConstellationTV episode 123, the Constellation analyst team tackles a question many enterprise technology leaders are quietly asking: Is SaaS over in an AI-first world, or are the rules simply changing? Here is a recap of the main episode takeaways with co-hosts Larry Dignan and Martin Schneider.

“SaaS Apocalypse”: Market Reset, Not Extinction

Analysts Martin Schneider and Larry Dignan address the narrative that “SaaS is dead.” Their view: while the delivery model survives, the business model is under massive pressure.

  • From Record to Reasoning: Core systems like CRM and ERP aren't disappearing, but they must become AI-enabled, AI-embedded, or AI-native to justify their cost.
  • The "NFL Roster" Approach: CXOs should treat their SaaS estate like a pro sports team—identifying which vendors are past their prime, which upstarts have genuine upside, and where to create "cap space" through consolidation.
  • Ownership Risk: Private equity–backed software firms caught in "death spiral flywheels" of debt and cost-cutting may struggle to produce real AI differentiation.

The New Infrastructure Oligarchs

The shift toward AI has triggered a massive capex cycle among hyperscalers.

  • Proprietary Silicon: Leaders like Amazon and Google are investing hundreds of billions to build their own silicon rather than renting margin from others.
  • The Utility Gilded Age: Much like the railroad magnates of the past, cloud leaders who own the infrastructure stack will become the new network oligarchs.
  • Strategy for CXOs: Assume a small number of strategic hyperscaler partners and a broader ecosystem of domain ISVs and agents layered on top.

Dispatch from the Cisco AI Summit

R "Ray" Wang and Chirag Mehta provided ground-level insights from the Cisco AI Summit, highlighting a "capability overhang" where model potential outpaces enterprise readiness.

  • OpenAI vs. Anthropic: OpenAI is moving at a breakneck speed that some customers struggle to absorb, while Anthropic is positioning itself as a more enterprise-centric partner with a heavy focus on Claude in production and roadmap clarity.
  • Context is King: AWS’s Matt Garman noted that teams building greenfield workflows optimized for AI see ~100x improvements, compared to only ~10x for those bolting AI onto existing patterns.
  • The Frontier: Visionaries like Fei-Fei Li (World Labs) are pointing toward physical and spatial intelligence—AI that understands and acts within 3D environments.

From Expertise to Experience

In a panel with Larry Dignan, Esteban Kolsky, and Michael Ni, the team explored the boundary between machine and human.

  • Machines as Expertise Engines: AI excels at rules, facts, and probabilities—codifying structured expertise.
  • Humans as Experience Engines: Humans lead in judgment under constraints and trade-offs across ambiguous signals.
  • The Context Gap: Context is the critical bridge. A model might suggest an order based on demand, but a human knows the SKU is being discontinued. Bridging this requires managing life cycle context and explicit decision rights.

Measuring Agentic GTM: KPIs That Matter

To close, Martin Schneider introduced his new Big Idea report on measuring AI agents in go-to-market motions. As organizations deploy dozens of agents, a small number of well-scoped agents with clear KPIs will outperform "agent sprawl."

  • Automation Multipliers: Measuring lead volume and handling capacity per human FTE.
  • Conversion Quality: Tracking if AI-augmented motions improve win rates and drive higher-margin, strategic deals rather than just increasing speed.

As AI moves from a "capability overhang" to a functional reality, the organizations that thrive will be those that stop bolting AI onto legacy patterns and instead start redesigning their workflows, infrastructure, and GTM metrics around the new rules of agentic execution.

Future of Work Tech Optimization Data to Decisions Innovation & Product-led Growth Next-Generation Customer Experience SaaS SaasPocalypse AI Agentic AI Chief Data Officer Chief Digital Officer Chief Executive Officer Chief AI Officer On ConstellationTV