Zendesk puts its AI revenue near $400m, mostly from agents billed per resolved case
Zendesk will end the year with about $400m of AI revenue, mostly from agents paid only when they resolve a case, chief executive Tom Eggemeier told TNW. By his account, paying for outcomes is a working revenue line for AI agents and still a test for the contract as a whole.
Reality
- Evidence35
- Adoption50
- Hype gap+20
- Incentives70
- Confidence40
Median AI support agent resolves 48% of conversations on Gorgias's live-store test
Gorgias tested 13 AI support vendors on 212 live ecommerce stores and found the top five resolve about 70% of conversations, the median 48%. Resolution is the pricing unit, so the rate to contract on is one measured on the buyer's own traffic, repeatedly.
Reality
- Evidence52
- Adoption55
- Hype gap+18
- Incentives82
- Confidence50
Anduril CMO gives his AI agent access to email and bank details, but keeps the final yes for himself
Anduril marketing chief Jeff Miller gave AI agents access to his bank details and email, then used them to clear six months of expense reports. The approval he keeps for himself covers what an agent sends or buys, so a team policy modelled on it still has to decide what the agent may read.
Reality
- Evidence35
- Adoption20
- Hype gap+35
- Incentives60
- Confidence40
Anthropic says Sonnet 5.5 nearly ties Opus 5.5, 1,844 to 1,846, on an everyday-work benchmark while running more than 30% faster than Sonnet 5. For teams paying double per token for Opus, Sonnet becomes the sensible default, with Opus kept for long, ambiguous jobs.
Perspective Coverage
11 publishers
- Builder
- Builder 36%
- Operator
- Operator 43%
- Investor
- Investor 21%
Reality
- Evidence45
- Adoption50
- Hype gap+25
- Incentives65
- Confidence55
Zendesk puts a three-to-six-month clock on ending per-seat pricing
Tom Eggemeier told a HumanX audience in Amsterdam that seats are dead, and Sierra already bills only for the cases its agents resolve. Buyers now have to forecast a billing unit they have never had to track.
Reality
- Evidence34
- Adoption41
- Hype gap+45
- Incentives88
- Confidence36
OpenAI starts charging some large accounts only for the jobs its model finishes
The arrangement is unannounced and covers only select accounts, yet it lands in a market where Intercom and Zendesk already bill per resolution and most buyers still say they would rather meter consumption.
Reality
- Evidence44
- Adoption55
- Hype gap+24
- Incentives62
- Confidence42
Lovable's $400M round moves employee-built software onto the audit committee's agenda
Lovable raised $400M at a $13.3bn valuation on the promise that whoever owns a problem can build the software for it. That leaves boards deciding who owns those apps once the builders move on.
Publishers:lovable.dev
Reality
- Evidence22
- Adoption48
- Hype gap+38
- Incentives93
- Confidence33
Six months to working AI, six years of controls: the gap in the JPMorgan cohort data
Institute banking data cited in Forbes puts 2025-vintage firms at roughly six months to AI in the workflow, against more than six years for the 2019 cohort. The review habits used to arrive with the years.
Reality
- Evidence28
- Adoption38
- Hype gap+34
- Incentives72
- Confidence42
buildOne report1 publisher Notion's agent stack is live, not slideware, and it only changes one of your decisions
Three separate 2026 releases get discussed as one product. Only the middle one, a sandboxed runtime called Workers, actually moves the line between knowledge tool and automation platform.
Reality
- Evidence34
- Adoption30
- Hype gap+12
- Incentives46
- Confidence35