AI Didn't Kill SaaS, It Changed What You Should Still Rent

Forbes Technology Council recent article "AI Didn't Kill SaaS, It Changed What You Should Still Rent" hit on a truth that many SaaS founders and support leaders are waking up to: the AI revolution isn't the end of software-as-a-service, it's the beginning of a smarter, more impactful era of renting.

AI could create more value than any previous technology revolution, but getting there may be a “rollercoaster.” That’s exactly why picking the right AI partner becomes critical.

For support teams grappling with scaling tickets, shrinking budgets, and ever-rising customer expectations, this shift isn’t academic. It’s a practical guidepost for where to invest.

Here’s what the article gets right, what it misses, and, most importantly, what you should actually be renting today to turn your support function into a growth engine.

The SaaS Model Isn’t Going Anywhere

Predictions of SaaS’s demise have been greatly exaggerated. The underlying economic logic of renting software, instead of building and maintaining it in-house, remains unshakeable: zero upfront infrastructure costs, predictable OpEx, seamless updates, and best-in-class security maintained by dedicated teams.

“Uber President Macdonald… argues that distribution and scale will win in the long run.” The same principle applies to SaaS: aggregation of thousands of customers lets a single provider spread R&D costs across a massive base, delivering enterprise-grade capabilities at a fraction of DIY cost.

What has changed is the type of SaaS worth renting. Legacy support tools, rigid, rule-based, and reliant on human triage, are rapidly becoming liabilities. The new winners embed AI deeply into their DNA, turning cost centers into profit centers.

What the Forbes Article Gets Right

The central insight is sharp: AI hasn’t killed SaaS; it has transformed the value proposition of what you rent. Instead of renting just a software license, you’re now renting an intelligent, continuously learning capability.

Take support automation. Three years ago, renting a helpdesk meant you got a ticketing system and a knowledge base. Today, renting an AI-native platform like Successly means you get:

• A 24/7 AI agent that resolves the majority of repetitive questions instantly
• Automatic ticket categorization and routing
• Proactive suggestions that deflect tickets before they’re submitted
• Continuous learning from every interaction, without manual maintenance

That’s not replacing a human; it’s making every human agent 10x more valuable by freeing them for high-touch, relationship-building work.

The New Era of “Rent”: AI-Infused SaaS

Forbes author hints at a broader truth: the companies that win won’t be the ones that build the best internal AI, they’ll be the ones that rent the best AI products. Building a competitive AI support engine requires data, compute, and very expensive talent. One study showed that real-world AI demand often turns out to be smaller, slower, or less profitable than expected. In-house efforts frequently become underutilized data projects.

Real-world AI demand turns out to be smaller, slower or less profitable than expected. In that scenario, companies could be left with underutilized data assets and burned engineering hours.

Renting from a specialized provider flips the risk. You get a model trained on millions of support interactions across industries, refined continuously, and served through a low-lift integration. That’s the difference between a generic LLM and a support-specific AI that understands intent, tone, and business context.

As the chart above shows, teams that adopt AI-powered support see a consistent uptick in productivity, not overnight, but quarter over quarter, as the system learns their policies, products, and customer language.

How AI Changes the Support Equation

The old support equation was linear: more customers = more tickets = more agents = higher cost. SaaS platforms like Successly break that equation by introducing AI that handles the “long tail” of repetitive queries, leaving agents to tackle complex, revenue-impacting conversations.

This isn’t about cutting staff, it’s about scaling support without scaling payroll. When a 10-person team can handle the load of a 15-person team, you can reinvest those savings into proactive customer success, upsell programs, and product improvements.

The Real ROI: Beyond Cost Cutting

SaaS veterans know that the biggest ROI often comes from metrics that don’t make the first slide deck. Reduced customer churn, higher expansion revenue, and improved brand reputation are all second-order effects of great support.

Notice the pattern: deflection skyrockets, response time shrinks, satisfaction climbs, and costs drop. This is the promise of renting AI-powered SaaS, immediate, measured impact without the capital expenditure of building custom solutions.

Why You Should Still Rent Instead of Build

A common counter-argument: “Why not just prompt-engineer a generic LLM and connect it to our knowledge base?” The answer lies in the difference between a tool and a solution.

Rory Sutherland says many companies will use AI as a tool to cut costs and jobs rather than to innovate, and that it could take 10 years before organisations truly change. Don’t be that company, use AI to elevate your team, not reduce them.

Successly isn’t a thin wrapper around a model. It’s a full-stack support operating system that includes:

• Intent classification trained on support-specific taxonomies
• Multi-channel integration (chat, email, social, in-app)
• Agent co-pilot that drafts replies using your tone and SOPs
• Analytics dashboard showing deflection rates, sentiment trends, and agent performance
• Seamless handoff to human agents when needed, with full context preserved

Building all that from scratch? Even a well-funded startup would burn 6–12 months and at least $500k in engineering costs, and still lack the training data of a production AI.

The chart above visualizes the stark difference: legacy support often means multi-day resolution times that kill customer loyalty. AI-powered support keeps resolution times measured in minutes, not days.

Successly in Action: A Support Team’s Supercharger

Consider a B2B SaaS company with 2,000 active accounts and a support team of 8 agents. They were getting 1,800 tickets/month, with first-response times averaging 6 hours. Agents were bogged down by “How do I reset my password?” and “What’s my API quota?”, questions that consumed 30% of total capacity.

After implementing Successly’s AI support automation, the team saw:

• 58% ticket deflection within the first month, as the AI instantly answered common questions
• First-response time down to 90 seconds, even outside business hours
• Agent capacity freed up by 40%, allowing them to focus on enterprise onboarding
• CSAT jumped from 82% to 96%, driven by speed and consistency

Successly’s AI doesn’t just answer, it orchestrates. Set up in hours, not months, and start deflecting tickets on day one. No data scientists required.

The company didn’t hire more agents. They didn’t build a chatbot from scratch. They simply rented a smarter engine, and saw a 6-month payback on their Successly investment through reduced ticket volume and higher customer retention.

Choosing What to Rent in 2025 and Beyond

The Forbes article’s title is a call to action for business leaders: re-evaluate your software stack with AI readiness as a primary filter. The question isn’t “should we rent?” but “what capabilities can we rent that will compound in value as AI improves?”

Support automation is the obvious first domino. It’s where customer experience, operational efficiency, and revenue protection intersect. And when you rent a purpose-built AI support platform, you get:

• A perpetually improving system, every customer interaction makes the AI smarter for everyone
• Future-proofing, as LLM capabilities advance, Successly absorbs those gains without you rewriting integrations
• Focus, your team spends time on customers, not on training models

The Human + AI Partnership

Idle fear that AI will replace support professionals misses the point. AI handles the volume; humans handle the value. The strongest support teams in 2025 will be those where AI and agents form an unbreakable partnership, AI triages, suggests, and automates; agents strategize, empathize, and close.

As one of the article’s sources suggests, it could take 10 years before companies truly internalize AI’s potential. But the organizations that adopt now, renting AI-native tools, won’t just save on support costs, they’ll build a data moat and a customer experience that competitors can’t easily replicate.

Final Takeaway: Rent Intelligence, Not Just Software

AI didn’t kill SaaS; it made the “service” part of software-as-a-service infinitely more valuable. The SaaS products you rent today should feel like partners, not just tools. They should learn, adapt, and proactively drive outcomes.

For support leaders, the message is clear: the era of renting a simple ticketing system is over. Rent an AI support platform that grows with you, deflects tickets before they become tickets, and turns your support function from a cost center into a growth engine.

Successly is that platform. Ready to see what intelligent renting looks like? Explore Successly’s AI support automation and join the teams that are already turning support into their secret weapon.