Oracle chairman Larry Ellison rejected fears of an upcoming SaaS apocalypse at the Oracle AI World event in Las Vegas on October 28. He told software buyers that AI will help programmers finish complex business apps instead of hurting SaaS vendors. Current commercial software automates only a fraction of real company tasks. As a result, firms still patch together custom code and extra tools [1].
Why Larry Ellison Dismisses the SaaSpocalypse
Many tech investors worry that generative AI could let firms write custom code to clone popular suites like Adobe Creative Cloud. Ellison addressed those fears during his keynote. He said companies will keep building applications, but AI will make those tools look quite different by helping software teams handle industry-specific logic [1].
Current business software packages rarely handle complete industry jobs. Commercial suites automate only basic office steps, forcing banks, clinics, and hotels to buy third-party add-ons or build internal connectors. “They may be the best things that are commercially available… [but] they’re not done,” Ellison said, explaining that software makers can now finish these applications by tailoring logic for specific sectors [1]. Vendors like Salesforce and Microsoft face growing pressure to build deep vertical features [5].
This shift means software value will come from backend data and business logic instead of slick visual menus. Brian Chess, chief operating officer at NetSuite, told TechRadar Pro that underlying software might even turn invisible if users connect through tools like ChatGPT or Slack. “If they never log in, that’s ok with us,” Chess said. Oracle shares rose about 14% to $144.14 after the event, though they stay below their late 2025 high of $330.34 [1].

Healthcare as the Testing Ground
Oracle chose healthcare as its initial target. Clinics face complex health regulations and rapidly evolving medical science. Ellison recalled taking his son to an emergency room for a broken leg, where an orthopaedic surgeon, a radiologist, and an IT specialist had to click through multiple screens just to pull up digital X-rays [3]. He called that routine ridiculous. The visit showed Oracle leadership how clunky software slows down doctors during emergency treatments.
Healthcare holds deep personal meaning for Larry Ellison. His mother died from cancer while he was a university student. He called her death one of the hardest moments of his life, and that loss motivated his focus on medical software. He predicted that most cancers could disappear within five to ten years as AI tools speed up pharmaceutical drug discovery. Under the Oracle Health platform, clinical trial modules link patients directly to experimental therapies, allowing people to join trials without moving near research hospitals in New York or California [3].
Hospital software setups often drag on for years. Enterprise installations can take up to two years and cost millions of dollars, but Oracle Health lets hospital clinics activate AI modules that discover existing clinical records without lengthy setup delays [3]. Oracle plans to release similar industry suites for banking, retail, hospitality, and government institutions [6].

Natural Language Interfaces Replace Menus
Ellison told attendees that enterprise apps must work as easily as asking a question. Under this model, workers describe what they want to see, and AI displays the records. “Any other user interface is nonsense,” he said, arguing that systems should need zero training for staff to pull up critical files [1].
People still need years of study to become doctors, accountants, or lawyers, but apps should not require separate computer classes. When a user asks a plain question, AI models should search database screens in the background to show the exact answer. That shift also changes how software vendors bill their clients. Instead of selling per-seat software logins, companies like Oracle, Salesforce, and Microsoft could move to outcome-based contracts that bill for completed tasks, such as processed medical claims or approved bank loans [5].
Knowledge workers are already managing digital AI agents that carry out routine office steps across multiple platforms. Staff oversee these processes while letting software bots do manual data entry. If an app can settle customer claims and update stock through plain chat prompts, the business value moves from pretty screens to reliable backend execution [5].

Infrastructure Expansions with Nvidia and Snowflake
These AI tools demand massive cloud compute. At Oracle AI World in Nevada, Oracle expanded its OCI Superclusters agreement with Nvidia to multi-gigawatt scale using Nvidia Vera Rubin NVL72 systems for AI model training and agent workloads. GPUs handle training weights. However, agentic AI workloads also require CPUs to execute software tools, run system code, and retrieve database records between neural network calls. Decoupling CPU and GPU allocations on OCI lets enterprise data centers scale each processor family independently, preventing costly idle hardware waste [4].
Oracle also expanded its partnership with Snowflake to offer Snowflake AI Data Cloud as a first-party service on Oracle Cloud Infrastructure. Customers can buy Snowflake directly through Oracle and pay using Oracle Universal Credits, cutting billing friction. Snowflake CEO Sridhar Ramaswamy praised the deal, explaining that running analytical tools right next to Oracle databases helps clients build AI apps without paying high data egress fees [4].
The cloud upgrades follow previous hardware deals, including the Oracle Cerebras cloud agreement targeting AI workloads in major server clusters. By securing fast chips from Nvidia and Cerebras, Oracle aims to keep company data inside its cloud perimeter. That hardware foundation gives vendors the speed they need to build complete software suites.

Larry Ellison on Automation and Tax Policy
During the final keynote Q&A at Oracle AI World, Larry Ellison dismissed predictions that AI will eliminate human jobs across the economy. He called predictions of total human replacement nonsensical. He argued that AI tools will make workers far more productive and leave society wealthier and healthier [2].
Ellison admitted that automation will replace some roles, pointing to driverless cars in Las Vegas taking over taxi and rideshare jobs. However, he stressed that technology rarely removes human pilots from cockpits. As a licensed pilot, he noted that airplane autopilot has flown jets safely for decades without replacing human crews. In his view, knowledge workers will simply evolve into AI agent managers rather than vanish from the workplace [2].
Ellison used a homebuilding example to illustrate how automation could transform national economics. Because manual labor accounts for 80% of house building expenses, constructing homes entirely with robots would instantly make four-fifths of the structure dramatically cheaper to produce. He called for shifting tax policy. “We need to change from taxing human labor to taxing value added,” Ellison said, pointing to economist Milton Friedman and his negative income tax idea to fund universal high income alongside proposals by Elon Musk. He acknowledged that tax reforms would take over a decade to establish, while layoffs.fyi tracked over 135,000 tech layoffs in 2026, including 21,000 Oracle job cuts [2].
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