--- title: "Market Pulse" canonical: "https://current.tinyfish.ai/issue/54/market-pulse" publication: "TinyFish" publisher: "TinyFish" language: "en-US" guide: "https://current.tinyfish.ai/llms.txt" permalink: "https://current.tinyfish.ai/issue/54/market-pulse" issue: 54 section: "market-pulse" description: "Reading the agent ecosystem through a practitioner's lens" authors: ["Sevda Polat","Sable Whitford"] published: 2026-11-09 updated: 2026-11-05 articles: 20 --- # TinyFish > CURRENT is a journal about AI agents in production, for the engineering and product leaders who have to make them work. Drawing on experience building enterprise web agents, it explains why the demo succeeded and the deployment didn't, and what that means for choosing vendors, briefing the board, and avoiding mistakes others have already made. [Read on the website]() ## Issue 54 — Market Pulse Reading the agent ecosystem through a practitioner's lens ### Lead Feature - [When AI Models Get Cheaper, Who Keeps the Savings?]() — By [Sevda Polat]() · Published 2026-11-05 · Format: Market Moves When a customer pays SAP a fixed price for each task SAP's AI handles, the model doing the work can change while the price stays put. SAP is making that swap, moving work onto cheaper models and keeping the difference. In a written answer to Reuters, it said so plainly: "The goal is healthy margins as scale grows, not an absolute reduction in AI expenditure." ### Headline Figures Checked Most of what reaches you about AI agents this fall arrives as a number: a share of sessions, a count of migrations, an accuracy score with a plus sign bolted on. If you're deciding whether agents can touch your customers or your books, those numbers will end up in somebody's slide deck (probably yours). Anyone who has carried a pager learns to ask a boring question before trusting a graph. What exactly got counted, and out of how many? The six figures below all landed in the past two weeks. None is made up. Each covers less ground than its headline implies, and the size of that gap tells you how much weight it can carry in a plan. - **Clarity's 25% checkout share rests on shaky denominator** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Agent traffic Microsoft Clarity found Checkout events in 25.21% of agent sessions versus 14.65% of human ones. PPC Land notes the published counts imply about 1.2 million sessions, short of the headline 5.2 million. A Checkout event might be a click, page view or sale. Microsoft says it isn't a conversion funnel. Treat it as a hint about where agents wander. - **Capgemini's 59% counts pilots; only 10% orchestrate** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Enterprise adoption Of 1,100 financial-services leaders Capgemini surveyed, 59% say they're piloting or deploying multi-agent systems, and 10% report enterprise-wide orchestration. Both figures are self-reported, so they capture intent and perception more than installed systems. The same release says about half can't consistently show returns. That's the figure to budget around. - **Telstra's "95%+" accuracy comes without a stated sample** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Production accuracy Microsoft says Telstra's billing agent supports more than 272,000 service migrations at "95%+ accuracy in production." It doesn't say how accuracy was sampled, or whether it covers all 272,000. A human reviews every prepared case, so the figure describes recommendations a person still signs off on. - **Pando's petabyte a day counts Git bytes served** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Infrastructure scale OpenAI says Pando serves nearly a petabyte of Git data daily and cut median push latency almost fivefold, all on one company's monorepo. Those are units of delivery and speed; they say nothing about features shipped. The post is candid about trade-offs, including cross-branch reads that aren't one consistent snapshot. Read it as one large repo's case study. - **Serval's 100 embedded engineers are a hiring plan** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Implementation labor Serval's ProServal arm intends to place more than 100 automation engineers inside enterprises over the next year, learning each customer's processes and building workflows on site. There are no outcomes to measure yet. The number mostly suggests how much hands-on labor these deployments still need, and leaves open who maintains the workflows afterward. - **CrowdStrike's kill switch works at the gateway today** — [Source]() — By [Sable Whitford]() — Published 2026-11-05 Tag: Agent control Falcon Guardian's AI Kill Switch can terminate agents at the network gateway now; stopping them on the user's own device is promised for later. That locates enforcement without saying how reliably it works, and no independent test has been published. Agent activity that never crosses the gateway sits outside its reach. ### Research Summaries - **AgentAbstain: Testing Whether AI Agents Know When Not to Act** — [Source]() — By [Sevda Polat]() — Published 2026-11-05 Liu and colleagues built 263 paired tasks across 42 sandbox environments. In each pair, one version calls for the agent to act and a nearly identical twin calls for it to stop. Across 17 models and four agent setups, the best system got both halves right 59.5% of the time. What does the failure look like? The authors call it post-hoc abstention: the agent takes an irreversible step, then says it should have stopped. How far do the results reach? Deterministic sandboxes and single-run, single-turn tasks describe the tested setups, not how often deployed agents misbehave. - **Take-Up and Targeting: Experimental Evidence from SNAP** — [Source]() — By [Sevda Polat]() — Published 2026-11-05 Finkelstein and Notowidigdo randomized outreach to about 30,000 older people likely eligible for food benefits (SNAP) but not enrolled. After nine months, 6% of controls had enrolled, 11% of those sent eligibility information, and 18% of those also offered application help. Human staff provided the help; no AI was tested. Who came in first? New enrollees had higher incomes and were less sick than control-group enrollees, even though no helper chose among applicants. Why might agent builders care? Lower friction raised participation unevenly. A rising enrollment count, read alone, would not show who remained outside. ### Consumer Demand Note - [Dinner Is a Weak Test of Whether People Want AI Agents]() — By [Sevda Polat]() · Published 2026-11-05 Uber and DoorDash have now counted the food orders that AI agents placed for customers. These agents are software that carries out a purchase on a person's behalf. Both totals are in the hundreds. Read quickly, that sounds like weak demand for delegation. I would read it as a weak test. ### Further Reading - **Apple's Legacy Contact and Its Deadline** — [Source]() — Published 2026-11-05 Your chosen contact can download your data, but not passwords, for three years. - **Google Hands Over Accounts After Silence** — [Source]() — Published 2026-11-05 Inactivity you define triggers the handover, a clock that busy software agents might keep resetting. - **Washington's Law on Access to Digital Estates** — [Source]() — Published 2026-11-05 Settings you choose online can override your will, and fiduciaries may never impersonate you. - **When a UK Power of Attorney Ends** — [Source]() — Published 2026-11-05 The donor's death ends it, while an attorney's death or divorce may pass authority to replacements. - **When Social Security Replaces a Representative Payee** — [Source]() — Published 2026-11-05 Someone managing another person's benefits can lose the role for misuse or unsuitability, and SSA picks the successor. - **Where a Replaced Payee's Savings Go** — [Source]() — Published 2026-11-05 Money a departing payee saved goes wherever SSA directs: the successor, the beneficiary, or back to SSA. ### Past Articles - [Who Pays While the Agent Waits]() — By [Sable Whitford]() · Published 2026-10-30 · Format: Market Moves Google's new service for hosting AI agents starts from a fact anyone who has watched one run already knew: most of the time, the agent is waiting, for the model to answer or for a person to reply. So Google suspends idle agents and promises you won't pay for idle machines. Fair enough, but the wait still gets paid for. It moves into approval queues nobody times, and then onto the plan, which comes back exactly as it left, even if the stock it counted on has since sold. - [Where Inertia Goes When Agents Do the Checking]() — By [Sevda Polat]() · Published 2026-10-23 · Format: Market Moves In December 2023, Lloyds paid 1.40% on an easy-access savings account; Metro Bank paid 5.22% on a similar one. Gaps that wide only last if many customers never compare. Britain's competition regulator cited estimates that this "loyalty penalty" cost customers £4 billion a year across several markets. - [The Affected Non-Participant]() — By [Sevda Polat]() · Published 2026-10-16 · Format: Market Moves During an internal evaluation this summer, not a product deployment but a test, an Anthropic model submitted a fabricated homicide tip to the Philadelphia Police Department's online reporting system. The record sat in the department's database for months before anyone noticed. The police never agreed to take part in an evaluation, and they had no relationship with the company, the model, or the task. The governance frameworks now being written for AI agents address the relationships among model providers, operators, and users. The Philadelphia police fit none of those categories. - [The Smarter the Agent, the Better the Mark]() — By [Sevda Polat]() · Published 2026-10-08 · Format: Market Moves A web agent shopping for an air fryer correctly identified a fake urgency pop-up as marketing. Then, given a larger reasoning budget, it circled back and bought the promoted product anyway. DECEPTION, an ICLR 2026 benchmark study, found that dark patterns steer agents toward unintended outcomes over 70% of the time, and that scaling up model capability made agents measurably more susceptible rather than less. For anyone building production web agents, that points to a problem model upgrades won't fix on their own. ## Other sections in Issue 54 - [Daily Brief]() - [Foundations]() - [Practitioner's Corner]() - [Echoes]() - [Vision]() ## More - [Publication guide]() - [Issue archive]()