# Christopher Dorsey

Christopher Dorsey writes about business implications of AI and advertising, including enterprise sales, workplace AI governance, retail media, and how AI changes payment for creative work.

- Profile: https://b2binfluencer.marketing/creators/christopher-dorsey/
- LinkedIn: https://www.linkedin.com/in/cdorsey
- LinkedIn followers: 4,066
- Topics: artificial-intelligence, sales, ai-governance
- Based on 10 dated posts, latest 2026-10-08

## Summary

They are most useful for concise analysis of how AI shifts enterprise sales, retail media, and creator pay.

- Best for: Research-led thought leadership for retail media, adtech, or B2B media brands.
- Not for: Campaigns needing broad reach, audience data, or stated sponsorship terms.
- Check first: Confirm sponsorship format, rates, media kit, brand inquiry route, and audience breakdown.

### Takeaways

- AI vendors still need human sellers for messy enterprise deals; transactional sales are exposed.
- Governance dashboards shift who can kill a deal, moving influence to the console owner.
- Metering can make per-use pay practical again for creative work.

## Main ideas

- **AI vendors still need humans for messy enterprise deals**: Dorsey challenges the assumption that AI companies would be first to automate their own sales teams. The issue, they argue, is the shape of the deal, not the technology: when a purchase involves several stakeholders, an unplanned budget and a procurement cycle, a human has to be in the room. Dorsey reads hiring patterns at the AI labs as a signal about which sales work will last: their products are absorbing transactional, self-serve sales.
- **Governance dashboards shift who can kill a deal**: Dorsey sees the arrival of enterprise agent governance as a shift in buyer power. For two years, the play was adoption first, procurement later—a strategy that worked because IT could not see the agents. A console that inventories unmanaged agents turns a quiet productivity win into a flagged risk. The gatekeeper is now whoever owns that console, not the original budget holder.
- **Retail media is one way retailers get paid, not the only one**: Dorsey compares retail media's growth with a model in which the retailer collects margin before a supplier buys any advertising. Their point for brands: a joint business plan without a media line still costs money, paid through price, pack size and velocity rather than impressions. Retail media is a choice about where the budget goes, not a universal requirement.
- **Metering can make per-use pay practical again for creative work**: Dorsey connects a billing mechanism to creator economics. The advertising industry largely abandoned residual per-use payments because tracking where and how often an ad ran cost more than the payment itself. Platforms that bill by character already count usage for free, making the same per-use model cheap to operate. For contributors, an advertiser's high asset volume becomes income rather than unpaid work.

## Work to read

- [Why AI companies are still hiring salespeople](https://www.linkedin.com/posts/cdorsey_openai-and-anthropic-build-the-best-ai-on-activity-7473050689078710272-xM2h)
- [When shadow AI becomes visible to IT](https://www.linkedin.com/posts/cdorsey_microsoft-just-made-shadow-ai-the-new-shadow-activity-7467568245122723840-tHYD)
- [What Costco’s retail-media economics leave out](https://www.linkedin.com/posts/cdorsey_costco-wholesale-reported-a-939-billion-activity-7510326917691252737-jqFh)
- [Why metered AI voice can change creator pay](https://www.linkedin.com/posts/cdorsey_elevenlabs-has-paid-voice-creators-22m-activity-7495843519333371904-Dwz-)

## Brand relationships

- **Costco Wholesale** (mention)
- **Microsoft** (mention)
- **OpenAI** (mention)
- **Anthropic** (mention)
- **ElevenLabs** (mention)

## Partnerships

Christopher Dorsey's four posts offer no stated partnership program, sponsor disclosure, rate or deliverable, media kit, or contact route for brand inquiries. They present industry analysis and commentary, each ending with a pointer to a longer piece elsewhere ("link in the comments")—a distribution pattern, not a stated sponsorship offer. Ask Dorsey or a representative to confirm collaboration terms.

## Alternatives

- Don “eCommerce” Brett: Better when a campaign focuses on eCommerce growth inside large US retailers and needs a retailer-by-retailer commercial playbook rather than a single media-economics argument. The posts draw on datasets traced to company filings and earnings releases: 52 public US retailers and roughly 3,300 data points show median comparable sales of +2.9% against median digital growth of +12.5%, with gaps broken out by retailer (Walmart +2.6% comp versus +24% digital; Kroger +1.0% versus +19%; Costco +6.8% versus +21%). NielsenIQ figures show Amazon's fresh business, with a perishables shopper spending $5,121 a year against $3,771 for the average Amazon shopper. Each post closes with a numbered “What I Would Do” list for a CPG executive and names a route into the business (Pattern, The CPG View podcast, the Retail eCommerce Club, the Retail Media View newsletter). For a campaign seeking supplier-side decisions grounded in a stated dataset and a clear commercial path, this is a closer fit than a single-thesis read of one company's quarter.
- Guru Hariharan: Better when a campaign wants enterprise AI risk and governance alongside retail media, or values a founder-operator framing. The two posts cover the same terrain from a different seat. One examines AI failure modes with named examples — hallucinated rulings, an AI ordering system shut down after adding items nobody ordered, an algorithmic screening tool at the centre of a class-action claim — and argues that most companies carry no coverage for AI-specific liability. The other reads Amazon's $19.8 billion quarterly advertising revenue and $79 billion annualized figure, then uses Amazon's own disclosed 48% conversion lift and 21% larger basket for shoppers who engage AI-powered Sponsored Prompts to argue that product-data quality now determines ad performance. For a campaign that wants one voice to address both the retail-media buying shift and the AI-governance problem, this pairing is directly on point.
- Navi Singh: Better when a campaign focuses on creator commerce and TikTok Shop agency selection from the brand side. The relevant post advises a brand evaluating TikTok Shop agencies to check who is staffed on the account and whether the lead has ever owned a P&L. It contrasts the brand-side experience of living with a wrong decision against an agency-side career spent on one account. The business is named in the post (Sohva), and the argument offers a firsthand operational read of a buyer task — how to judge an agency — that Christopher's posts do not attempt. For a campaign whose success depends on a brand team choosing and managing a creator-commerce partner well, this practiced judgment is the closer match.

---
AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/