People who build or buy software keep asking the same thing. They want to know if SaaS is headed for extinction. The rapid pace of headlines regarding artificial intelligence is intense right now. Will SaaS vanish? It makes sense to worry since AI models get much sharper with every quarterly update.
You are likely hearing intelligent people talk about the potential end of the software sector as we know it. Satya Nadella believes the age of the standard app is fading as Microsoft pushes AI to the center of its software. Databricks CEO Ali Ghodsi tells a different story.
Ghodsi argues SaaS will not disappear overnight, but AI will make parts of it feel invisible. Where does this leave you? If you are currently coding or buying new systems, these questions might change your entire strategy. Corporate software faces a major turning point that defines what happens next.
Table of Contents:
- Decoding the real anxiety behind rumors of the SaaS death spiral.
- Software as a service is alive and well, though the way companies protect their market share has shifted.
- Separating AI buzz from the actual launch dates for agentic tools.
- Smart money says the old way of selling cloud tools is dying.
- Does the future hold a graveyard for SaaS apps or a shift where they work behind the scenes?
- We updated our costs for today’s market.
- This reality hits SaaS teams right where they live.
- Modern purchasing means looking for platforms that put machine learning first rather than as an afterthought.
- Software now shapes our messaging and how we deliver it.
- Money follows the tech as AI hits its stride.
- Solid plans for your next couple of years.
- Final thoughts.
What people really mean when they ask will SaaS go extinct
Most people asking this are not actually worried that massive platforms like Salesforce will shut down next Tuesday. A shaky sense of wonder mixes with the fear of a total collapse. The ground under their software stack is starting to move.
Much of the anxiety boils down to bank accounts and the shaky value of software companies. Analysts have started asking if classic subscription software can keep growing as AI spending explodes. People putting up the money are scared. They think artificial intelligence might kill off old-school companies.
Founders hear this “saas apocalypse” narrative and start rethinking their product roadmaps. Buyers hear this and wonder if the tools they roll out now will look outdated in two years. Shareholders worry that AI might eat the profits of established companies.
Strip away the worry and one question remains. Will the next decade of software belong to the apps we click in our browser? Or will those top AI layers grab control of it all?
SaaS is not dead, but the moat has changed
Ali Ghodsi at Databricks recently provided a helpful real-world snapshot. Databricks reported a revenue run rate above $5.4 billion, with over $1.4 billion coming directly from AI products. Far from ruining the experience, these AI additions make people use the site much more often.
His perspective makes more sense after reading the recent TechCrunch breakdown of his interview. He kept his message basic. Traditional SaaS is still doing its job as the place where business data lives.
Databases and systems of record are not going away anytime soon because removing them is brutal. Moving sensitive bank files or client profiles takes forever and invites disaster. Look at the dashboard layout if you want to see where the transformation truly takes hold.
Ghodsi pointed out that software defensibility used to rely on people spending a decade learning how to use complex tools. If you were a Salesforce admin, you were the expert on how that UI worked. Management put you in charge of keeping every project on track.
That competitive advantage fades fast when an AI layer lets any staff member get answers just by asking a simple question. People no longer need to learn the tool to get value. Good software works just like the pipes in your walls.
AI hype versus real timing for agentic platforms
A lot of the talk about will SaaS go extinct assumes that ai agents are about to take over everything rapidly. Actual events happen slowly. They often look disorganized. Machines will not take over every task by tomorrow morning.
In an interview with podcaster Dwarkesh Patel, AI researcher Andrej Karpathy shared a sober take. Truly independent AI is still years away. He thinks the tech cannot yet back up the marketing talk. That means the glossy slides showing an ai agent running your company are still theoretical.
Look closely. A massive change is hitting every corner of this field. During the Cisco AI Summit, leaders from OpenAI, AWS, and Google all spoke about AI as the next foundation for enterprise software. Commentators at Constellation Research covered how OpenAI sees fully AI-driven companies emerging.
Every talk we have points back to one main idea. AI used to be a flashy add-on but now it acts as the foundation for everything we build. This change happens in phases rather than killing everything off in a single night.
What experts say about the end of SaaS as we know it
SaaS will not vanish in the way an animal species can go extinct in nature. But its shape and business model are bending toward AI-driven patterns. Don’t bury SaaS yet. The model is simply shifting into something new.
Those watching the data finally put words to this shift. One Forbes article about the rise of the automation platform lays out the shift clearly. Forget standalone apps. New systems let smart agents talk to each other to finish big projects.
People are tired of being stuck inside a single software window for their entire workday. Consultants at AlixPartners share a similar angle in their piece regarding the future of enterprise software. Forget the layout. Leaders now measure a program’s value by its ability to feed and support AI models.
Your ability to serve accurate data to models starts to matter more than your custom UI widgets. This lines up with where Databricks is headed as well. Ghodsi explained that their new Lakebase database is built with ai agents in mind from day one.
Business boomed early on. The new setup doubled the earnings of the old data warehouse within its first eight months of operation. We see the first signs. Companies are ditching old layouts for interfaces that actually work with AI models.
So will SaaS go extinct or just become invisible?
Try viewing species loss as a fading gradient instead of a simple power switch. Most cloud tools will eventually drift into the back office. Smart algorithms now drive the relationship between human users and the programs they run every day.
Look at it as three separate layers.
- SaaS centric stage. Users live inside specific products all day, learning clicks, screens, and workflows by heart.
- AI assisted stage. Copilots, chat interfaces, and embedded models sit beside the SaaS apps to make them easier to use.
- AI first stage. Users and ai agents talk in natural language, and the AI calls multiple tools behind the scenes.
Most saas companies sit in the middle of stage one and two right now. There is no switch you flip where all your tools are suddenly AI native. This move takes time. Money is tight, and workers often push back against unfamiliar systems.
New pricing models for a new era
Look at modern billing cycles to see how SaaS is evolving. Software companies are ditching old pricing habits to stay relevant. Old school billing counts every head. You pay for every human who has a login.
This breaks down when an ai agent does the work of three humans. Why would you pay for three seats if no human logs in? Companies now favor paying for exactly what they use.
Software firms now bill clients for actual results instead of just charging for seat licenses. If the automation platform resolves 50 customer tickets, you pay for those resolutions. Both the company and the software now share the same goal of speed.
Investors fear that companies sticking to seat-based pricing will lose revenue. Profits will grow for any firm that prices services based on what their AI agents actually do. Even with bots running things, people still get a square deal.
What this means for SaaS founders right now
If you build software today, the worst move is to shrug and hope the AI wave passes you by. The second worst move is to burn down everything you have to chase hype. You need real focus to guide a product to success.
A better path is to look at your product through three lenses and decide what needs to change.
| Check the frame. | Points to bring up. | Things you should do. |
|---|---|---|
| User dashboard | Is your product ready for real human conversations. | Embed interactive assistants directly into your daily business processes. |
| Hard numbers. | Check if your information is tidy and ready for your software to process. | Prioritize your tech stack by funding organized schemas, fast APIs, and strict data standards. |
| Making systems talk. | Does your API setup allow AI agents to talk to your product smoothly? | Keep your API guides clear and your data promises steady. |
You also want to watch what the frontier players are doing. You can now read about the latest Claude Cowork plugin features on the Anthropic company blog. The message is that agents and AI assistants will lean on plugins to drive workflows.
Agents will simply stop selling your brand if the process feels like a chore. Your analyst relations team should also be communicating your AI roadmap clearly. You do not want the market to view your tool as a legacy system.
How buyers should think about SaaS in an AI-first decade
If you are responsible for software buying, the AI noise probably feels like both a threat and an opportunity. It hurts to realize your tech stack is a mistake. Look at the facts. Nobody can keep things exactly as they are.
A grounded way to decide what to do next is to split your thinking between core systems and flexible edge tools.
- Primary infrastructure. Nobody wants to touch these HR and finance databases. They are too heavy and risky to shift to a new home.
- Specialized perimeter hardware. Switch your marketing, sales, and analytics tools without the usual headache.
For core systems, focus on vendors that clearly talk about data access for AI. You want tools that will plug cleanly into agents you bring in later. AlixPartners proves that modern software fails without AI data hooks. Building these bridges now prevents your tech from becoming a relic later.
For edge tools, you can lean into experiments a bit more. Look for products where AI is already driving a chunk of usage. Databricks uses Genie to spark curiosity and help teams get more hands-on with their numbers.
Shorter term contracts and pilot projects allow you to keep learning. Nobody wants to pay for a five-year plan when the tool itself could vanish from the market tomorrow. Vendor scorecards help you track who is actually delivering on AI promises.
The impact on marketing automation and content
The shift to AI affects specific verticals differently. Everything we knew about automated marketing just flipped. Back in the day, marketing teams relied on basic tools to time their email blasts and upload articles one by one.
Now, ai agents can generate content, optimize send times, and analyze results autonomously. Competition forces these software brands to change how they work. A basic list of names and addresses simply won’t cut it today.
Companies need smarter data layers to help them actually talk with the people they serve. Smart browsers might soon take over small chores like picking your cookie settings for you. You can expect the visual controls to vanish soon.
We are seeing “ai ai” interactions where a marketing AI talks to a sales AI to qualify leads. Friction disappears. Sales move faster. Platforms that enable these machine-to-machine conversations will win.
Where the value moves as AI grows up
If SaaS turns into the plumbing behind AI, then value shifts away from glossy interfaces. Smart choices drive better AI output. It works. Think of this as three different sets.
- Clean, reliable records. Data works best when it stays predictable. Accurate tags and steady formatting prevent expensive mistakes across your apps.
- Control and trust. Security, permissions, and traceability so you know why an ai agent acted.
- Building blocks. Connect your agents to every app. Clear links make it easy to run multi-step plans automatically.
This strategy helps software firms quietly pull ahead of their rivals. People who always tell the honest truth stay in the room where decisions happen. They might stop calling themselves SaaS, but the economic value remains.
Databricks prefers to be seen as an AI company now for this reason. Even if the term “SaaS” fades, the utility of the underlying code does not.
Practical moves for the next 12 to 24 months
Software is changing fast. We are trading basic cloud apps for smart AI systems. Don’t feel pressured to make massive moves right away. Think steady, repeatable moves instead of hero bets.
Grab these three priorities to get your startup moving in the right direction today.
- Ship at least one real AI-powered feature that saves your users time. Do not just ship a shiny demo.
- Map the most important data entities in your product. List the steps for safe bot behavior. Keep the process simple.
- Set up one simple entry point for developers. You can grant outside agents the right to execute critical system actions securely.
If you are on the buyer side, set a short list of AI-aware principles. Apply these codes whenever you buy something new or extend your plan.
- Ask every vendor how they expose your data back to you. Find out how they plan to weave AI into their future products.
- Start a small trial using an AI bridge to link a couple of your existing apps together. See how they interact.
- Document which systems of record you are willing to commit to. Spot the items you can swap out.
How people buy things is shifting. People used to sign up for free trials just to see how things worked. Down the road, artificial intelligence will probably manage the API validation.
You do not need to solve your full AI strategy this quarter. Don’t stop. Progress requires action. The worst move you can make is doing nothing.
Conclusion
Is the SaaS model headed for total extinction like a prehistoric creature? No. But the form that software takes is already changing because AI is stepping in.
Leaders like Satya Nadella and the analysts writing about agentic platforms are pointing at the same horizon. Classic browser-centric SaaS loses some of its magic. AI-first platforms and agent-friendly infrastructure take more of the spotlight.
If you build software, your job is to shape your product so it still matters. If you buy software, your job is to keep flexibility at the edges. Support platforms that prioritize artificial intelligence from the start.
The question will SaaS go extinct is the wrong question. The real winner is the person who pivots to AI centered logic the fastest. Make sure you own your data, rights reserved, and prepare for the future.
