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The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4% year-over-year.
Along with co-host Ben Salzman, Jason and Henry discuss the transformative power of AI within SaaS and the evolving dynamics that are reshaping the landscape of software as a service. “The best hack,” Jason adds, “is not recruiting one management team. You need to be evaluating your team 100 percent of the time.
At SaaStr + AI Summit 2025, Jason Lemkin and Kyle Norton CRO of $1B+ vertical SaaS leader Owner (where Jason is on the board) did a deep dive on AI in Sales today. The AI-Native CRO: How Revenue Leaders Must Evolve or Risk Obsolescence 4 Top Learnings for Revenue Leaders 1. AI Curiosity Is Now a Firing Offense to Lack.
And why the AI budget war is just getting started Top 5 Takeaways 1. The 40% Tipping Point : With 40% of workloads now in the cloud, SaaS has hit market maturity. The easy growth is over—companies like Zoom exemplify this with saturated markets and nowhere left to expand rapidly. The market is saturated.
New spending data from Ramp reveals a possible trend: end user AI adoption may be hitting its first growth slow down. The AI adoption party might be slowing down—at least temporarily. While overall AI penetration among U.S. CFOs who initially approved AI experiments are now demanding concrete business outcomes.
@Replit ’s ARR since founding The space is … beyond on fire No one is going to code without AI again pic.twitter.com/o9RYaYMBxq — Jason ✨👾SaaStr.Ai✨ And allowing more experienced developer to ship far, far faster. The company was caught in the classic freemium trap—massive user adoption but poor conversion to paid plans.
They were two developers who had lived through the nightmare of subscription infrastructure while working at Elevate. The Problem Was Real: Apple and Google’s app stores weren’t giving developers the data they needed. ” required weeks of developer time to answer. By the time they raised their $1.5
The 40% Problem: How AI Will Finally Fix Sales Coverage and Customer Face Time A wake-up call from HubSpot’s CEO Yamini Rangan on why your sales team is failing 60% of their accountsand how AI will change everything There’s a brutal truth about B2B sales that most founders refuse to acknowledge.
This wasn’t just an improvement it fundamentally changed how brands could engage with SMS marketing. Turn Your Customers Into Your Marketing Engine The second breakthrough was making customer success the core growth engine. Because while the payment problem was solved, the marketing side of mobile commerce remained broken.
So at SaaStr Annual, Dave Kellogg did a great deep dive on “5 Things Every B2B CEO Needs to Know about Marketing” In the Age of AI it’s even more true today, so I wanted to update our SaaStr take-aways from the deep dive. You founded a product company, but you’re running a distribution business.
Earlier this month, Gong’s CEO and Co-Founder Amit Bendov sat down with SaaStr Founder and CEO Jason Lemkin at SaaStr Europa 2024 to talk about all things AI and the lessons learned while scaling to billions. Back in 2015, Google AI beat the world chess champion easily. AI was starting to diagnose diseases better than doctors.
At Procore, he led all customer-facing functions—Sales, Marketing, CS, RevOps, and BD. But behind every product launch and revenue milestone is a team – and building that team is one of the hardest and important parts of the journey. Product and Go-To-Market. And that’s people.
GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. In 2023, we saw a surge of SaaS brands adding anything AI-powered or AI-driven into their website headlines. The optics were that if AI wasnt integral to your roadmap and marketing, you were losing relevance.
Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generative AI. Go-to-Market is expensive and labor-intensive. The good news is you have a big backlog, and the bad news is you have a big backlog. AI starts spitting out information.
Since writing The AI Agency: A Novel GTM for Machine Learning Startups , I’ve been meeting many companies who operate this way. These startups use machine learning to disrupt an industry traditionally dominated by agencies: law, accounting, recruiting, translation, debt collection, marketing…the list is long.
When Greenhouse started, it was at a time when the market was growing up, and there weren’t any playbooks. Could something like the Greenhouse of 2015 even make it to market today? A huge amount of their mid-market was SMB just a few years ago, so it’s worth looking at the true lifetime value of those companies. They did it.
With a Master’s degree in human-computer interaction and over two decades of experience in user research and user experience in companies like Oracle, he now leads the design team across all product offerings at IBM. According to him, good design doesn’t need to sacrifice transparency, and imperceptible AI isn’t ethical AI.
GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. AI is transforming how go-to-marketteams operate. Marketers are shipping more content. AI as a coach, not a crutch. AI as a coach, not a crutch. Personalized AI systems.
You see, although we work hard to make Userpilot the best product adoption tool on the market, we know it isnt the perfect fit for every business. In fact, it was first created as an analytics tool, and only in recent years has it also developed an engagement suite. Userpilot is perfect for non-technical teams.
Jesse Paliotto (06:15) That’s that rings so true for me personally, because my I experienced flip of first, I think coming out of like a digital marketing background and probably 10 to maybe 15 years ago where I think at that time and please correct me if I get this wrong, it felt like very much like people were selling their blogs there.
Over a year, that translates to a loss of $300,000without factoring in additional costs like marketing spend to replace lost customers. This means having the right technology team in place, setting up ample customer support options, and ensuring that your team is available and trained to address software challenges when they occur.
I’m watching public company earnings to identify early weaknesses in the software market. Machine Learning is a Secular Platform Change & a Growth Driver for Software The age of AI is upon us, and Microsoft is powering it. About 70% of commercial Office subscribers use Teams.
The Worst Days of a CRO The job of CRO is a tough one, with lots of natural tensions in place between sales and marketing, sales and product, etc. The highs and lows always come, usually involving the people on your team. For Erica, the bad days are when they’re not executing or achieving growth the way they want.
Known as the Martech 5000 — nicknamed after the 5,000 companies that were competing in the global marketing technology space in 2017, it’s said to be the most frequently shared slide of all time. – lie beyond the realms of this article but one thing is clear: this market is HUGE. What is a marketing technology stack?
We believe that in order for SaaS companies to unlock their next stage of growth, their financial operations tech stack must strike the right balance between flexibility, which allows them to pivot quickly in an ever-changing market, and complexity, which supports them as they scale their business, operations, and monetization strategies.
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Jaleh Rezaei is the CEO & Co-founder of Mutiny, a company reimagining the B2B buying experience by transforming transactional relationships into meaningful connections through AI-powered personalization.
How often do you reflect on the ways technology changes your life as a marketer? We do our marketing… on the internet.”) But, one day soon, you’ll marvel at all the things AI sneakily helped pull off your plate. Because when marketing meets AI , magic happens. I’m not talking full-on paradigm shifts here. (“We
Let’s review everything your customer success team has to do in the absence of any customer success tools. Top customer success management platforms for mid-market and enterprise companies. Ensure that your data is clean and easily accessible, as poor data quality undermines the value of even the best customer success tool.
They are hiring leaders, building teams, and attracting advisors in the US while devouring the SV SaaS playbook. AI is likely the next platform, dev tools are strategic given the scarcity of developers, cybersecurity is front and center for enterprises, and the data stack is still going strong. Proximity to customers helps too.
“How World-Class Product Teams Are Winning in the AI Era” is one of the talks at this year’s Product Drive Summit. Delivered by Carlos Gonzalez de Villaumbrosia, it tackles the challenges and opportunities AI-revolution poses for product teams. AI enables product teams to achieve more with fewer resources.
Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. Poor performance includes slow loading times, complex design, confusing navigation, and unresponsive features. To assign meaning to whether the numbers are good or bad, context is crucial.
In the high-stakes world of gaming, support teams face a unique set of challenges. With AI agents like Fin, you can break free from these constraints. Taking an AI-first approach allows you to handle massive support volume fluctuations while providing always-on global support, and keeping costs predictable.
Right now, 42% of the market runs on WordPress. This is where Matt believes AI is useful and will start to help. WordPress is its own ecosystem, a vibrant community of hundreds of thousands of people who create add-ons, plugins, and develop sites. But when they started tracking it, it was.8%.
Ogilvy's Creative Director, David Raichman, called AI “ a force multiplier for creative expression,” and I couldn’t agree more. It is at these times AI steps in, rescuing me from the creative rut. AI content creation tools can help you here, especially when saving time in social media post creation.
When I first encountered A/B testing, I immediately wanted to become the type of marketer who tested everything. A lot of marketers are just too darned busy to follow up and optimize the stuff they’ve already shipped. According to HubSpot, only 17% of marketers use landing page A/B tests to improve conversion rates.
Data labeling turns raw data into useful information that can then be utilized for optimized marketing. That’s why this article will delve into the many uses of data labeling for marketing and some platforms you should consider using to get the most out of your data. The more context you provide, the better the AI can learn.
GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. In today’s market: 80%+ of VP-level roles are never posted publicly. Often attract 2,000+ applicants, many with AI-polished resumes that all look the same. It’s a crazy market. 80% of exec-level jobs never hit job boards.
If you’ve been paying attention to any loud marketing efforts over the last few years, you have definitely heard about multi-cloud. Similar to Kubernetes, unless your team already has a lot of experience with microservices, most startups shouldn’t go near them. But over time, we noticed that teams hated working on these services.
Their solutions span a wide range of verticals: from E-commerce, HR and Health to collaboration, infrastructure and AI. was created by a team with 25+ years of experience in location-based tech, spanning various services and real-time asset tracking systems. It provides visual search and image recognition solutions based on AI.
In this article, I’ll show you how Userpilot helps product teams cut through the noise and understand what really matters in mobile user behavior: no data science degree required. The platform’s code-free implementation makes it accessible for product managers who want insights without constantly relying on developers.
And the broad impact of this wave of AI is already creating the sort of massive value we’ve seen with other platform shifts, like the internet, mobile, cloud. AI today 1. But there will be more breakthroughs because now all the AI scientists in the world are working on making the stuff better. Noam Shazeer, Character.AI
Some believe AI is overhyped. A recent poll taken during the Higher Logic Super Forum SPARK conference in April says 61% of CS professionals sometimes use AI platforms alongside other systems, while 11% always leverage AI in various instances and workflows. But there are proven, compliant ways to drive impact with AI today.
AI has been quite overhyped in the past. ML teams tend to invest a fair share of resources in research that never ships. If you want to invest in ML, hire someone with experience on both the tech and the operational side so they can start working with the product team from day one. What’s up? The rise of neural networks.
Every seasoned product marketer knows that adding new features to your product is key to product management success. TL;DR Feature ideation is a process through which product teams brainstorm ideas for new features to introduce to their product. Why do you need feature ideation in your product development process?
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