{"slug": "ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons", "title": "AI is turning B2B outreach into a tragedy of the commons", "summary": "AI-powered sales agents from Microsoft, HubSpot, and other vendors are enabling companies to automate personalized outreach at scale, but a Belkins analysis of 7.5 million cold emails sent in 2025 found the average reply rate fell from 0.50% in the first half to 0.40% in the second half, hitting 0.35% in December. Belkins warns that the collective increase in automated outreach is depleting buyer attention and channel trust, creating a 'tragedy of the commons' that makes B2B outreach less effective for everyone.", "body_md": "**AI did not make buyers easier to reach. It made everyone cheaper to interrupt.**\n\n[A modern AI sales agent](https://thenextweb.com/news/google-wants-search-to-work-while-you-sleep-and-its-new-information-agents-are-the-plan) can research a company, identify a plausible buying signal, compose a personalised email, schedule follow-ups, evaluate the response, and hand a qualified opportunity to a human salesperson.\n\nMajor CRM vendors now market agents that research leads, draft and send personalised outreach, and follow up with limited human supervision. [Microsoft describes an autonomous sales qualification agent](https://learn.microsoft.com/en-us/dynamics365/release-plan/2025wave1/sales/dynamics365-sales/deploy-autonomous-sales-qualification-agent-qualify-leads-at-scale) that can qualify leads at scale, while [HubSpot offers a prospecting agent](https://knowledge.hubspot.com/prospecting/use-the-prospecting-agent) for automated research and outreach. This is no longer a speculative feature of the sales stack. It is becoming [normal infrastructure](https://thenextweb.com/news/google-cloud-next-ai-agents-agentic-era).\n\nFor an individual company, the economics are compelling. Work that previously required hours of human research and writing can now be completed in seconds. The rational response is to contact more prospects.\n\nBut when every company follows the same logic, the collective result is not more relevance. It is more interruptions.\n\nB2B outreach is becoming a tragedy of the commons.\n\n## The shared resource is not the inbox\n\nIn the traditional tragedy of the commons, individuals acting in their own interest gradually exhaust a resource shared by everyone.\n\nIn outbound sales, that shared resource is not email itself. Email is effectively unlimited. The scarce resources are buyer attention, channel trust, and sender reputation.\n\nEvery unsolicited message consumes a small amount of each. A useful message may repay that cost by helping the recipient discover a relevant solution. An irrelevant message makes a withdrawal without creating value in return.\n\nNo individual sender owns the recipient’s attention. No individual sender controls how mailbox providers respond to unwanted messages. Yet every sender has an incentive to consume a little more of both.\n\nThe damage initially looks manageable. Reply rates decline slightly. More messages land in spam. Buyers become less receptive to unfamiliar senders. Teams then respond by increasing volume.\n\nThat creates a cycle: lower production costs lead to more messages; more messages produce less attention per message; lower response rates encourage yet more volume; complaints and disengagement rise; mailbox providers tighten their filtering; and the channel becomes less effective for everyone.\n\nI call this interruption inflation: when the supply of automated outreach grows faster than the supply of human attention, each message purchases less attention than the one before it.\n\n## The data shows a market under pressure\n\nAt Belkins, we see this market at considerable scale. For our [2025 cross-channel benchmark](https://belkins.io/resources/b2b-cold-outreach-benchmarks), Belkins and its research partners analysed 16.5 million cold emails, more than 20 million LinkedIn outreach attempts, and more than 5 million cold calls. The size of that dataset matters because the pressure is not limited to one campaign, industry, or channel.\n\nA separate [Belkins analysis of more than 7.5 million cold emails](https://belkins.io/blog/cold-email-response-rates) sent during 2025 used a strict methodology: replies were measured against all emails sent to net-new contacts, not only against recipients who opened an email.\n\nThe average reply rate was 0.45%. More importantly, the first half of 2025 averaged 0.50%, while the second half averaged 0.40%, a 20% decline within the same year. December reached a low of 0.35%.\n\nThis does not prove that AI caused the decline. Buyer behaviour, economic conditions, targeting quality, deliverability, seasonality, and messaging all affect performance. The newer study also uses a different denominator from previous Belkins research, so its absolute reply rate should not be directly compared with earlier reports.\n\nWhat the data does show is that buyer response is not infinitely elastic. Increasing the supply of messages does not create a corresponding increase in buyer attention.\n\nThe infrastructure is also becoming less forgiving. [Google advises bulk senders](https://support.google.com/mail/answer/14229414?hl=en) to keep their user-reported spam rate below 0.1% and prevent it from reaching 0.3% or higher. Rates above 0.1% can negatively affect inbox delivery, while rates of 0.3% or more have an even stronger effect.\n\nPut differently, a spam rate of 0.1% represents roughly one complaint per 1,000 delivered messages. A rate of 0.3% represents three complaints per 1,000. That is not much room for error.\n\nAI can generate thousands of convincing sentences, but a tiny number of recipients can still damage the sender’s ability to reach everyone else.\n\n## Personalisation is becoming a commodity\n\nFor years, the sales industry treated personalisation as the solution to poor outreach. The basic idea was reasonable: research the recipient, mention something specific, and demonstrate that the message was written for them.\n\nAI is rapidly making surface-level personalisation a commodity. Almost any system can identify that a prospect [recently raised funding](https://thenextweb.com/news/europe-startup-funding-rounds-march), hired a senior executive, launched a product, appeared on a podcast, or published a LinkedIn post.\n\nOnce every sender has access to the same facts, mentioning those facts no longer proves that meaningful attention was invested. It merely proves that the sender has access to software.\n\nPersonalisation without selectivity is just better-targeted noise.\n\nTrue relevance requires more than inserting personal details. The recipient must plausibly have the problem, the problem must matter now, the proposed solution must be credible, and the value of the message must justify the interruption.\n\nAI can help evaluate those conditions. But most sales systems are still optimised around the wrong output. They measure how many personalised messages the machine can produce, rather than how many unnecessary messages it correctly decides not to send.\n\nWhen everyone can manufacture the appearance of relevance, relevance stops being primarily a copywriting problem. It becomes a judgement problem.\n\n## Reputation is now part of the product\n\nWe learned this lesson before the current AI sales boom. In 2019, [Folderly began as an internal solution](https://belkins.io/blog/b2b-sales-tools) after recurring deliverability problems began affecting outreach. The original purpose was to identify technical issues, improve inbox placement, and recover mailboxes that were being classified as spam.\n\nThe deeper lesson was not simply that companies needed another deliverability tool. It was that authentication, infrastructure, sender behaviour, reputation, targeting, and message quality form one connected system.\n\nA perfectly written email creates no value when it does not reach the inbox. At the same time, no technical deliverability system can transform an unwanted message into a wanted one.\n\nReputation is partly technical, but it is also behavioural. Every campaign teaches mailbox providers and recipients how much trust to place in the next message.\n\nThat makes sender reputation a business asset rather than a technical afterthought.\n\n## The next sales stack needs a trust budget\n\nThe future of outbound is not zero outbound. Buyers still benefit from discovering solutions they did not know existed, and new companies still need ways to [reach markets that are unfamiliar with them](https://thenextweb.com/news/acceleratorx-launch-european-ai-startup).\n\nBut the next generation of sales systems must treat attention and trust as finite resources.\n\n### Use AI to reduce uncertainty before increasing activity\n\nThe system should gather stronger evidence that a company has the right problem, timing, and buying conditions before initiating contact. Better research should produce fewer weak messages, not merely more polished ones.\n\n### Give every account a contact budget\n\nA prospect who has already received several unanswered messages should not be treated as an untouched opportunity simply because another department, channel, or agent owns the next sequence.\n\n### Coordinate channels around the buyer\n\nAn email, LinkedIn message, phone call, advertisement, and automated follow-up are not separate interactions from the buyer’s perspective. They are all withdrawals from the same attention account.\n\n### Measure negative externalities\n\nPositive replies and meetings matter, but so do spam complaints, unsubscribes, negative replies, domain health, inbox placement, and the number of contacts repeatedly approached without engagement.\n\n### Keep human judgement closest to the interruption\n\nAI is excellent at increasing the amount of context available to a salesperson. It is less reliable when asked to decide, without supervision, whether a commercially plausible message deserves a stranger’s attention.\n\n## Restraint will become a competitive advantage\n\nAI will not kill outbound sales. [Undisciplined use of AI](https://thenextweb.com/news/the-people-we-left-behind-tech-layoffs-ai-hype-and-a-misplaced-future) might damage it.\n\nThe companies that win will not necessarily be those that generate the largest number of personalised messages. They will be the ones that develop the clearest understanding of who should be contacted, why the timing is justified, what value the interaction creates, and when silence is the better decision.\n\nThe most valuable action taken by an AI sales agent may eventually be a non-action: do not send this message.\n\nWhen interruption becomes cheap, restraint becomes a competitive advantage.\n\n## Get the TNW newsletter\n\nGet the most important tech news in your inbox each week.\n\nExpertise from selected TNW Council members, admitted through an application and review process to a fee-based program. Opinions expressed by the authors are their own.", "url": "https://wpnews.pro/news/ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons", "canonical_source": "https://thenextweb.com/news/b2b-outreach-tragedy-of-the-commons", "published_at": "2026-07-28 12:02:03+00:00", "updated_at": "2026-07-28 12:59:30.712944+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-products", "ai-tools", "ai-infrastructure"], "entities": ["Microsoft", "HubSpot", "Belkins"], "alternates": {"html": "https://wpnews.pro/news/ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons", "markdown": "https://wpnews.pro/news/ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons.md", "text": "https://wpnews.pro/news/ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons.txt", "jsonld": "https://wpnews.pro/news/ai-is-turning-b2b-outreach-into-a-tragedy-of-the-commons.jsonld"}}