AI Didn’t Kill SaaS — Software Stocks Are Back at 2026 Highs
Earlier this year, one of Wall Street’s favorite bearish narratives was the “SaaSpocalypse.”
The logic was simple: if AI agents can write code, build apps and automate workflows, why would companies keep paying large recurring fees to Salesforce, ServiceNow and other software vendors?
That fear hit the sector hard. The S&P 500 Software & Services Index fell more than 26% from late January to its April low.
Now the story is starting to reverse.
The software index has climbed to a new 2026 high, and earnings expectations are moving higher as well. LSEG data shows expected 2026 earnings growth for the software sector has risen from about 13.8% at the end of March to 20.6%.
The key shift is that AI is starting to look less like an immediate replacement for SaaS — and more like a new monetization layer.
Enterprises already run on CRM, ERP, ITSM, databases and deeply embedded permission systems. The hard part is not whether AI can generate a new interface. The hard part is connecting AI safely to existing data, workflows and business processes.
That gives incumbents such as Salesforce and ServiceNow an advantage.
Instead of being replaced by agents, SaaS companies can embed agents directly into the workflows customers already use — and charge more for them.
In that scenario, the moat shifts from:
“We sell software”
to:
“We already own the workflow, data and customer relationship where AI needs to operate.”
Accenture is another good example. As companies move from AI pilots into real deployment, they still need system integration, workflow redesign and automation support. AI may reduce the cost of completing certain tasks, but it can also create a much larger volume of transformation projects.
Cybersecurity may be one of the clearest beneficiaries. The more AI and agents enterprises deploy, the more identities, data permissions and attack surfaces they need to protect. Security is not something companies can easily replace with a few lines of AI-generated code.
Still, this does not mean AI is automatically bullish for every software company.
AI can also pressure pricing. If productivity rises dramatically, customers may demand lower fees or move away from traditional seat-based subscriptions. The real winners will likely be companies that can prove that the value created by AI is greater than the cost savings AI gives back to customers.
Tiger View
Tiger thinks the biggest lesson from this software rebound is not that AI will never disrupt SaaS.
It is that the market may have overestimated how fast that disruption would happen.
Replacing enterprise software is much harder than generating code. Companies need to migrate data, rebuild workflows, meet compliance requirements, maintain reliability and retrain thousands of employees.
Those switching costs matter.
So AI may end up separating SaaS into two groups.
One group provides narrow, replaceable features. Those companies may still face serious long-term pressure.
The other group owns critical workflows, data and distribution. Those companies may be able to turn AI into a new revenue layer.
Tiger would watch three things next: how much new ARR comes directly from AI products, whether customers are willing to pay separately for agents, and whether seat-based pricing starts to come under pressure as AI improves productivity.
If AI-driven upsell grows faster than pricing compression, SaaS could enter another upgrade cycle.
If companies start cutting seats and moving toward task-based or outcome-based pricing, then today’s rebound may only be a pause before a deeper business-model shift.
Related Stocks
Enterprise Software: $Salesforce.com(CRM)$, $ServiceNow(NOW)$
Watch: whether AI agents translate into real incremental ARR and higher customer spend.
IT Services: $Accenture PLC(ACN)$
Watch: whether enterprise AI deployment continues to drive consulting, integration and automation demand.
Cybersecurity: $CrowdStrike Holdings, Inc.(CRWD)$, $Palo Alto Networks(PANW)$
Watch: whether security spending becomes a mandatory layer of enterprise AI adoption.
Today’s Poll
AI hasn’t killed SaaS — at least not yet. What happens next?
① AI strengthens the moat of software leaders with data and workflows
② This is only a pause — the real disruption comes after 2027
③ Security and mission-critical software benefit the most
④ The business model changes — fewer seats, more agent or outcome-based pricing
For market discussion only. This is not investment advice. Markets involve risk, and investment decisions should be made carefully.
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.
The business and enterprise softwares are differrent to the cyber security softwares, so while both grows, cyber requirement on AI usage is inevitable, hence has the edge!
The disruption on SaaS will still be incoming later according to the AI' wider adaptation by the people and enterprise for bespoke development along with the high capital technology companies like MAG7 and OpenAI, Anthropic, SpaceX and more new companies building new SaaS products.
Hence the high moat quality software investment with periodical portfolio review helps!
Thanks.
For companies like $Salesforce.com(CRM)$ and $ServiceNow(NOW)$ , AI agents could become a new monetization layer rather than a direct threat. I am especially interested in whether customers are willing to pay more for AI-driven automation and whether this can translate into meaningful incremental ARR.
That said, I would not ignore the longer-term risk. If AI eventually leads to fewer seats and more outcome-based pricing, traditional SaaS models could face pressure. For now, I think the key is to watch whether AI-driven revenue growth can outpace pricing and subscription pressure.
@TigerClub @Tiger_comments @TigerStars