G2 Puts a Number on the Distrust Tax. Price Agents Per Acceptable Outcome.

On October 14, 2026, G2 published its 2026 AI Agents Report, "Crossing the Agentic Chasm." (G2) The number for anyone running a revenue team: 45% of surveyed B2B decision-makers said overseeing agents and correcting their mistakes consumed more than a quarter of the productivity gains they expected. G2 has a name for that cost: the Distrust Tax.

Adoption has moved fast. 86% of respondents said they bought agent software or services in the past year, up from 69% in G2's 2025 study, and 66% have agents in limited or scaled production. (PR Newswire) The question now is net value after the human work it takes to keep an agent useful.

What G2 found (self-reported survey)

• Bot-sitting: 31% said employees spend six or more hours a week overseeing agent work.
• Gains given back: 45% said oversight and rework consume more than a quarter of expected productivity gains.
• Cost surprise: 46% reported higher-than-expected agent operating costs.
• Scale makes it worse: at large enterprises, 27% said agents need much more oversight than expected, nearly twice the SMB rate of 15%.
• Where the hours go: the most time-consuming activities were reviewing agent outputs (26%), fixing agent errors (24%) and approving agent actions (22%).
• Checks before and after launch: 52% require human quality review before production, and 77% re-evaluate agents at least monthly.

Where the data stops

These are self-reported answers from G2's own research. G2 surveyed 1,019 B2B decision-makers across North America, EMEA and APAC in July 2026, with titles from individual contributor to vice president and above, and drew on more than 2,500 reviews in its AI Agent Builder category from March through August. (G2 report) G2 also says it used generative AI reasoning models to shape the survey and analyze the results. The sample covers agent buyers across functions. It does not measure revenue productivity for sales or marketing teams, and no independent audit checked the numbers.

Why revenue leaders should care

A rep assistant can save time drafting a follow-up and add time somewhere else: checking account facts, correcting a bad claim, repairing a CRM update. If those costs stay invisible, the activity dashboard looks efficient while the team pays in labor and missed buyer moments. A wrong price or a wrong renewal date sent to a buyer costs more than the minutes it took to write.

One more line from G2's review data deserves a sales leader's attention. In its AI Agent Builder category, sales development use cases more than halved year over year, while software engineering and process automation use cases grew. That covers one review category. It still fits the pattern in the survey: teams keep agents where the work is structured and the review cost is low.

Six lines to price the Distrust Tax

This is the Reversal Ledger applied to agent oversight. Start with the completed outcome and keep one row per task type:

1. Task and baseline. The job the agent did, and the human-led result it must beat.
2. Agent cost. Compute and vendor charges for the task.
3. Review time. Who checked the work, and for how long.
4. Exceptions and fixes. Escalations, corrections and approvals the agent needed.
5. Downstream repair. Errors a customer caught, CRM cleanup, discounts and lost deals.
6. Net cost per acceptable outcome. Lines 2 to 5 divided by the results that passed review, compared with the matched human-led workflow on time to completion and quality.

Split the ledger by task, account type, rep experience and risk. A strong average can hide a bad segment. Then add any verified lift in conversion, retention or margin against the same baseline. Time saved without that comparison is still a claim.

Who owns which line

• CRO or VP of Sales: which tasks an agent may use to touch a buyer, and the human-led baseline each one must beat.
• RevOps: where review time, exceptions and repairs get logged so they join to pipeline and deal results.
• Enablement: the review standard, and which reps review which outputs. Reviewing agent work is a judgment job. In G2's survey, 35% of respondents said they redeployed employees into higher-value roles, and 14% reported reducing headcount.
• Finance: the loaded cost of review hours and the spend caps. Buyers in G2's survey ranked real-time usage dashboards, monthly spend caps and cost-per-outcome reporting among the top controls they want.

What to do this week

1. Pick one agent task that touches buyers, such as follow-up emails, meeting prep or lead routing.
2. For the next 20 completed outputs, log review minutes, corrections, escalations and any downstream repair.
3. Run the same task through your normal human-led process for a matched set of accounts.
4. Compare net cost per acceptable outcome. Grant more autonomy only where review catches little and the number beats the human baseline. Where review catches real problems, keep the reviewer and fix the inputs.

The test works the same in an insurer's broker channel, a manufacturer's quote desk or a services firm's renewals team. Count the supervision, exceptions and repairs alongside the wins. If an agent's output needs too much human work to reach a good result, the productivity claim has not earned its place in the revenue plan yet.

Related

• Koch Backed Emanate's AI for Industrial Sales. Make Autonomy Beat a Control Group.
• Sales AI Just Moved Into ChatGPT and Claude. What Can It Read, Write, and Prove?
• Reversal Ledger

Sources

1. G2, "2026 AI Agents Report: Crossing the Agentic Chasm," report page, updated Oct 14, 2026: sell.g2.com
2. Tim Sanders, "New G2 Research: AI Agents Have Moved From Pilot to Production. Now Comes the Distrust Tax.," G2, Oct 14, 2026: company.g2.com
3. G2, "New G2 Research: AI Agents Have Moved From Pilot to Production, But Oversight Comes at a Cost," PR Newswire, Oct 14, 2026: prnewswire.com

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