TechCrunch · Oct 29, 2025
TechCrunch: Box CEO Aaron Levie sees a hybrid future for enterprise SaaS and AI agents
Markdown · JSON · Original source
On October 29, 2025, TechCrunch reported Box co-founder and CEO Aaron Levie’s argument that are more likely to work alongside enterprise SaaS than replace it. Levie says businesses need deterministic systems—software whose behavior follows defined rules—for core processes, because agents can create risks in mission-critical work. In his proposed arrangement, SaaS handles core workflows while agents help make decisions, automate work, or speed up a person’s process. Levie also expects agents to change how enterprise software is sold: if agents become far more numerous than human users, he says, per-seat pricing would no longer work, and companies would need consumption- or volume-based models. He sees an opening for startups to build enterprise software around agent-first processes, arguing that smaller firms have fewer existing processes to change. He urges entrepreneurs to build during what he calls a platform shift. Whether agents will reach the scale he predicts, and how widely the proposed pricing and workflow changes will take hold, remains unknown.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
TechCrunch · Article
Source details
Original source date: Oct 29, 2025 (2025-10-29).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-11T09:43:23.482Z. First observed: 2026-10-31T20:33:46.681Z. Retrieved: 2026-10-31T20:35:34.733Z.
Referenced by
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Limits
Text as retrieved on October 31, 2026; originally published October 29, 2025. The article reports Levie’s expectations and recommendations; it provides no evidence here establishing whether agents will reach the predicted scale or whether the proposed changes to pricing and workflows will take hold.
Open question
What evidence will show whether enterprise become numerous enough to change software pricing and workflows as Levie predicts?
Source-stated
Aaron Levie argues that AI agents are more likely to work alongside enterprise SaaS than replace it.
Aaron Levie doesn’t think AI agents will replace enterprise SaaS (software-as-a-service) companies. Instead, he believes that the more likely future is a hybrid combination of SaaS plus agents
Source-stated
Levie argues that core business processes need deterministic systems because changes can carry high risk, and he cites examples of agents leaking data or disrupting production.
the risk of that changing any given day is very high
Source-stated
Levie describes SaaS as handling core workflows, with agents helping make decisions, automate workflows, or accelerate a person's process.
the SaaS is used for the core business workflow, and then the agents ride on top of that.
Source-stated
Levie predicts there may be far more agents than people using software, and says per-seat pricing would no longer work as a result.
we’ll have about 100 times more, maybe 1,000 times more, agents than we have people. So you’ll have way more users of that software system, or SaaS, as agents
Source-stated
Levie sees an opportunity for startups to design agent-first enterprise processes, particularly because smaller startups have no existing processes to change.
Smaller startups, he said, have no business processes to change, so they can design a new process in an agent-first way.
Source-stated
Levie urges entrepreneurs to build, describing a platform shift that he says is opening space for new companies.
there’s a complete platform shift happening in tech that’s opening up a spot for a new set of companies to emerge
Source and contributor context
TechCrunch · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
AI agent
An AI system that chooses and carries out actions toward a goal, often using software tools.
Editorial provenance
Version 1. Publication ID: d2ad868a-92b8-b72a-f038-1278f2bf745c.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-11T09:38:54.286Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: 24bd2080be0d7118478f27552f38d84d7ea9ad7d7017fad7f9118e509e724dfa. Source text hash: 0515e97cefbcbc791a1f93ef60b3350a4de095f0187d965e21639270be1ec5a4.
Revision and source-check history
Version 1 · 2026-11-11T09:43:23.482Z
TechCrunch: Box CEO Aaron Levie sees a hybrid future for enterprise SaaS and AI agents
On October 29, 2025, TechCrunch reported Box co-founder and CEO Aaron Levie’s argument that are more likely to work alongside enterprise SaaS than replace it. Levie says businesses need deterministic systems—software whose behavior follows defined rules—for core processes, because agents can create risks in mission-critical work. In his proposed arrangement, SaaS handles core workflows while agents help make decisions, automate work, or speed up a person’s process. Levie also expects agents to change how enterprise software is sold: if agents become far more numerous than human users, he says, per-seat pricing would no longer work, and companies would need consumption- or volume-based models. He sees an opening for startups to build enterprise software around agent-first processes, arguing that smaller firms have fewer existing processes to change. He urges entrepreneurs to build during what he calls a platform shift. Whether agents will reach the scale he predicts, and how widely the proposed pricing and workflow changes will take hold, remains unknown.
Original source
TechCrunch · Article
Source details
Original source date: Oct 29, 2025 (2025-10-29).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-11T09:43:23.482Z. First observed: 2026-10-31T20:33:46.681Z. Retrieved: 2026-10-31T20:35:34.733Z.
Limits
Text as retrieved on October 31, 2026; originally published October 29, 2025. The article reports Levie’s expectations and recommendations; it provides no evidence here establishing whether agents will reach the predicted scale or whether the proposed changes to pricing and workflows will take hold.
Open question
What evidence will show whether enterprise become numerous enough to change software pricing and workflows as Levie predicts?
Source-stated
Aaron Levie argues that AI agents are more likely to work alongside enterprise SaaS than replace it.
Aaron Levie doesn’t think AI agents will replace enterprise SaaS (software-as-a-service) companies. Instead, he believes that the more likely future is a hybrid combination of SaaS plus agents
Source-stated
Levie argues that core business processes need deterministic systems because changes can carry high risk, and he cites examples of agents leaking data or disrupting production.
the risk of that changing any given day is very high
Source-stated
Levie describes SaaS as handling core workflows, with agents helping make decisions, automate workflows, or accelerate a person's process.
the SaaS is used for the core business workflow, and then the agents ride on top of that.
Source-stated
Levie predicts there may be far more agents than people using software, and says per-seat pricing would no longer work as a result.
we’ll have about 100 times more, maybe 1,000 times more, agents than we have people. So you’ll have way more users of that software system, or SaaS, as agents
Source-stated
Levie sees an opportunity for startups to design agent-first enterprise processes, particularly because smaller startups have no existing processes to change.
Smaller startups, he said, have no business processes to change, so they can design a new process in an agent-first way.
Source-stated
Levie urges entrepreneurs to build, describing a platform shift that he says is opening space for new companies.
there’s a complete platform shift happening in tech that’s opening up a spot for a new set of companies to emerge
Source and contributor context
TechCrunch · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
AI agent
An AI system that chooses and carries out actions toward a goal, often using software tools.
Editorial provenance
Version 1. Publication ID: d2ad868a-92b8-b72a-f038-1278f2bf745c.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-11T09:38:54.286Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: 24bd2080be0d7118478f27552f38d84d7ea9ad7d7017fad7f9118e509e724dfa. Source text hash: 0515e97cefbcbc791a1f93ef60b3350a4de095f0187d965e21639270be1ec5a4.
uncertain · 2026-11-11T09:38:54.286Z · anthropic/claude-opus-5.5
Publication: d2ad868a-92b8-b72a-f038-1278f2bf745c
attribution — pass: The reading correctly attributes the reporting to TechCrunch and the arguments, predictions and advice to Box co-founder and CEO Aaron Levie, speaking at TechCrunch Disrupt 2025. His predictions remain attributed to him rather than stated as fact.
Box co-founder and CEO Aaron Levie doesn’t think AI agents will replace enterprise SaaS (software-as-a-service) companies.
summary — uncertain: The summary is mostly faithful and readable, but two issues affect clarity or fidelity. First, the central term 'enterprise SaaS' is never explained; the source expands it as software-as-a-service, and the term is not in definitions. Smallest repair: add that expansion plus a short gloss, or suggest a term-library entry. Second, the summary says smaller firms have 'fewer existing processes to change', while the source says they have 'no business processes to change'. Restore 'no'. Optionally, also keep Levie's stated conviction ('very convinced') about agent numbers rather than only a conditional.
Smaller startups, he said, have no business processes to change, so they can design a new process in an agent-first way.
date — pass: The October 29, 2025 date matches originalPublished at day precision, and October 29, 2025 was a Wednesday, consistent with the source. This is a publisher page, so no archive disclosure is needed. The Most Popular sidebar contains possibly later stories, such as an Anthropic IPO item, but the reading does not use them. There is no hindsight framing, and the predictions stay attributed forecasts.
speaking onstage at the TechCrunch Disrupt 2025 conference on Wednesday
support — pass: Each claim is supported by source text: the hybrid future, deterministic systems for core processes, agent risks such as data leaks and production mishaps, agents riding on top of SaaS, the 100–1,000x agent prediction and the end of per-seat pricing, the startup opportunity, and the call to build. The stated unknowns are framed as open rather than as outcomes, and the question follows from Levie's prediction.
the typical “per-seat” business model would no longer work, and instead, companies would have to sell some form of consumption and volume-oriented use cases with AI agents
media — pass: No media was selected, and no verified candidates were supplied, so nothing is misidentified.
Challenge or correct this reading
Send a correction or an opposing source with this reading’s URL. Disagreement and uncertainty can remain unresolved.
An AI system that chooses and carries out actions toward a goal, often using software tools.
Definition referenceAn AI system that chooses and carries out actions toward a goal, often using software tools.
Definition referenceAn AI system that chooses and carries out actions toward a goal, often using software tools.
Definition referenceAn AI system that chooses and carries out actions toward a goal, often using software tools.
Definition reference