# Tori Adams

Tori Adams writes about federal AI adoption, with a focus on cybersecurity, agent authority, governance, and testing autonomous systems. Adams's LinkedIn posts also cover digital product passports and supply-chain traceability.

- Profile: https://b2binfluencer.marketing/creators/tori-adams/
- LinkedIn: https://www.linkedin.com/in/toriadamsfederalai
- LinkedIn followers: 14,631
- Topics: artificial-intelligence, supply-chain, cybersecurity, ai-governance, agentic-ai
- Based on 24 dated posts, latest 2026-10-08

## Summary

Tori Adams is most useful for explaining AI agent governance and assurance in federal contexts.

- Best for: Defense technology campaigns needing co-authored analysis or acquisition webinars on AI governance.
- Not for: Consumer AI assistant launches needing upbeat posts and headline accuracy claims.
- Check first: Confirm their audience demographics, seniority, employer type, and post-level engagement before contacting.

### Takeaways

- An AI agent should not act under a person's login.
- Permission to sell a system is not proof that it works.
- The urgent AI risk is today's cyberattacks, not a future scenario.

## Main ideas

- **An AI agent should not act under a person’s login**: Adams argues that giving agents borrowed human credentials creates an accountability gap: if an agent uses an employee’s access, the audit trail records the employee as the actor. The remedy is consistent across posts: a distinct identity for every production agent, a named owner, permissions limited to a specific task, an independent log of what the agent did, and a clear way to revoke access. The same controls apply to agents that run unattended or pass work to one another.
- **Permission to sell a system is not proof that it works**: Adams separates two disciplines often treated as one. Restricting who may supply a system is a procurement and national-security question; establishing what a system has demonstrated is a testing question. Acquisition documents, Adams argues, should set the evidence standard. Today, the default evidence for autonomous performance is often the vendor’s own claim.
- **The urgent AI risk is today’s cyberattacks, not a future scenario**: Adams rejects what they call a false choice between stopping AI and accelerating without restraint. The immediate danger, they argue, is practical: industrialized attacks against defenses that remain artisanal, agents with excessive permissions, and, at larger scale, swarms whose behavior emerges from agents interacting rather than from any single design. Adams describes opacity in agent communication as an oversight problem, not proof of bad intent; in one post, they say plainly that opacity alone does not establish malicious intent. Their conclusion is that safety and deployment speed are not opposing goals: bounded authority and testing make autonomy usable.
- **The next bottleneck is the organization, not the model**: In an economics-focused post, Adams argues that AI has become a macroeconomic variable, noting that it barely appeared in Federal Reserve policy discussions two years earlier. They draw three conclusions. The infrastructure build-out in data centers, chips, power, and cooling may be inflationary before it becomes deflationary. Capital markets are pricing a productivity revolution that has yet to appear in economy-wide productivity, putting companies in a “prove-it phase” in which they must show measurable productivity, revenue, risk reduction, or mission improvement. Finally, the model is not the constraint: fragmented data, legacy systems, weak governance, unclear authority for agents, and procurement processes designed around human labor will decide the results. Applying powerful models to those conditions can produce expensive dysfunction rather than productivity.
- **How Adams works: gather recent reporting, then turn it into a control list**: Adams’s federal-AI posts follow a recognizable method: assemble recent reports or official actions, set aside the technology angle, restate the operational and governance questions, then close with numbered requirements or questions for agencies. Written in the vocabulary of procurement and pre-deployment review, the lists are transferable. Adams also directs readers to their Substack for the longer version; ask for those essays if they’re relevant to your campaign.
- **Earlier posts promoted blockchain product passports for supply chains**: An earlier strand of Adams’s posts promotes SIMBA Chain’s blockchain-based digital product passports and traceability in company announcements rather than independent analysis, using hashtag stacks, calls to read a Substack or blog, and product claims aimed at manufacturers. The industries vary—automotive sourcing and battery regulation, food safety after large recalls, aerospace supply chains, semiconductor compliance under the CHIPS Act, and EU due-diligence and tariff risk—but the structure is consistent. One promotional post names customers; ask for substantiation if those references matter to your campaign. These posts differ from the federal-AI governance writing.

## Work to read

- [Your AI agent should not inherit your digital badge](https://www.linkedin.com/posts/toriadamsfederalai_your-ai-agent-should-not-inherit-your-badge-activity-7502369148992225280-Nn9_)
- [AI safety just crossed an important boundary: from digital actions to physical ones](https://www.linkedin.com/posts/toriadamsfederalai_aisafety-agenticai-aigovernance-activity-7499072228345634816-kZVv)
- [The AI safety debate is stuck in a false choice: stop AI or accelerate without restraint](https://www.linkedin.com/posts/toriadamsfederalai_the-ai-safety-debate-is-trapped-in-a-false-activity-7510339718312579072-fVNc)
- [Section 1709 of the FY2025 NDAA and the FCC's December 23, 2025 Covered List action settled a supply chain question for unmanned systems. Performance is not.](https://www.linkedin.com/posts/toriadamsfederalai_aiassurance-counteruas-federalacquisition-activity-7499069574831718400-NpWK)

## Brand relationships

- **SIMBA Chain** (disclosed_partnership)
- **Substack** (mention)

## Partnerships

No sponsorship formats, rates, or partnership inquiry route are published in the posts here. They show a clear split in the kind of commercial writing Tori Adams publishes. Six posts promote SIMBA Chain, a company selling blockchain-based digital product passports: an announcement of a whitepaper on compliance costs in manufacturing, a post on food-safety traceability, one on aerospace supply chains, one on automotive sourcing for lithium and cobalt, one on semiconductors and CHIPS Act compliance, and a short video pitch on tariff and EU due-diligence risk. These posts use branded hashtag blocks, emoji-formatted bullet points, and links to company Substack articles. They read as brand-forward promotional copy, not a personal creator package. None states a fee, deliverable, exclusivity term, or disclosure, or describes a booking process a buyer could use. Adams's separate analysis posts on federal AI adoption, agent identity and permissions, counter-drone acquisition, and AI safety carry no sponsorship labels, affiliate links, or paid-partnership disclosures. For a buyer, the practical consequence is that this profile cannot currently be planned against a published package. There is no media kit, sponsorship policy, rate card, audience breakdown, or inquiry form in the posts here, so any engagement would begin with a direct approach and terms negotiated from scratch. The SIMBA Chain posts offer a sample of the promotional voice they are willing to produce for a vendor, not a quoted offer.

## Alternatives

- Sam Sharma MBA, MSc: Choose Sam Sharma when a campaign selling AI governance and assurance targets enterprise and technology leaders rather than United States federal buyers. Sharma writes about the same practical problem Tori Adams addresses: what an AI agent should be allowed to access, decide, and do. They name the same controls—a clear purpose, a named owner, its own identity, an access boundary, a risk level, an approval process, and an audit trail—and argue that agents should be governed more like digital workers than treated as a productivity feature. A sponsor whose product story fits operating discipline for boards and CISOs better than acquisition criteria for contracting officers will find a closer fit here. Sharma also frames the frontier-AI risk debate as capability outrunning controllability and asks what powers should be delegated before control is proven, a useful hook for a co-authored piece aimed at enterprise decision-makers.
- David Goldsmith: Choose David Goldsmith when the campaign shifts from digital agent governance to fielded autonomy in heavy industry. Goldsmith's posts argue that autonomous and semi-autonomous mining is already proven, describe one operator running equipment across multiple mines from a surface command center, cite internal rates of return for conventional, local-surface, and centralized-command operations, and pitch a commercial model in which the supplier is paid when material moves rather than when equipment arrives. For a sponsor whose autonomous-systems assurance pitch centers on physical equipment, production risk, and outcome-based contracts, that operating experience speaks directly to the buyer's concerns. Tori Adams's posts, by contrast, stay in the digital and cyber domain.
- Filiz Demirci: Choose Filiz Demirci when a sponsor's governance message needs a compliance-and-standards angle and a European or multinational audience. Demirci writes about AI governance through named frameworks, including ISO 42001 and the EU AI Act, and presents governance as a way to protect trust, privacy, and security rather than as paperwork. One post recaps a London AI governance summit and examines ethics frameworks that build participation into the AI lifecycle, alongside a data point that executives measure AI success by individual productivity while only a small share of knowledge workers have real AI proficiency. The other argues that shared images can be reused through deepfake technology and that both awareness and regulation matter. A sponsor selling compliance or governance tooling to EU or multinational organisations will find closer alignment with this vocabulary and audience than in Tori Adams's federal-first writing.

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