Colleen Aubrey
SVP of Applied AI Solutions (S-team) · AWS
Position Evolution
4 tracked across this operator's appearancesSame operator, on the record, on the same topic, at different points in time. Each delta below is anchored to verbatim transcript spans verified against source — no paraphrases. This is the alumni-graph moat: SemiAnalysis cannot reproduce this query because they don't have the speaker-stable corpus.
Applied AI last-mile difficulty
Hardenedconfidence 88%Aubrey consistently emphasizes that the 'last mile' of deploying AI in business operations is genuinely difficult, but the later appearance adds a concrete quality threshold — a 20% error rate being intolerable — that was absent earlier. This specificity signals she has moved from a general caution to a measurable standard, making the position more actionable and higher-stakes for enterprise buyers.
"the applied AI is really trying to hone in on getting AI to work in your business, in the operations, with your teams every day. And specifically, I'm focused on the business user and the business functions. And so that's why you've used this term, applied AI is getting it to work. And I think that last mile is hard."
Source on theCUBE ↗"my group we've chosen specifically the name Applied AI because that last mile work of putting AI to work in your business and getting the results you're looking for, I think that's very hard. Your customers are not going to tolerate a 20 % error rate."
Source on theCUBE ↗Usage-based pricing for agentic AI labor
New positionconfidence 85%The earliest appearance contains no discussion of how agentic AI should be priced or monetized; the focus was entirely on capability and culture. By the later appearance Aubrey has articulated a concrete commercial model — usage-based pricing analogous to human labor costs — and even speculates about hourly contracting of AI agents. This represents an entirely new public position on the business model layer of agentic AI, relevant to enterprise procurement decisions.
"Today, what we've adopted is a usage- based pricing. So we're saying that when AI interacts on your behalf on voice, then you should pay for it as a voice service. The same as if you connect a call to a human in the contact center, then you pay on a usage page for a voice service. I can imagine contracting AI by the hour."
Source on theCUBE ↗AI teammates transforming business work
Hardenedconfidence 82%In the earlier appearance Aubrey framed AI teammate adoption as an existential business imperative with no opt-out. By the later appearance she has moved from urgency framing to describing the hybrid human-agent workforce as an already-apparent, settled reality rather than a looming choice. The conviction has deepened from 'you must start' to 'this is simply how work will be done,' signaling she sees the debate as largely settled.
"The one way door decision is to not get started. Integrating AI and AI teammates into your business to change how you deliver products and services to customers, there's no opt out on that. If you opt out, you're opting out of business."
Source on theCUBE ↗"it's become very, very apparent, certainly to me, I'm sure to many, many people, that the future of how we work will involve workforces of agents. It will be hybrid, there'll be people collaborating with AI on a daily business to get the job done."
Source on theCUBE ↗Transformation over mere automation
Shiftedconfidence 78%Earlier, Aubrey drew a sharp rhetorical contrast between 'automation' (insufficient) and 'transformation' (the real goal), urging organizations to put all assumptions on the table. In the later appearance she still pushes beyond automation but frames it as a product-design question her own team wrestles with internally, making it a practical engineering challenge rather than a rallying call. The emphasis has moved from exhorting customers to change to describing how AWS itself navigates the same tension.
"So one thing I hear a lot of organizations talk about is automation and efficiency. And I get it. That seems interesting, but I think it undersells the opportunity ahead of us. This is about transformation. You have to be willing to put everything on the table."
Source on theCUBE ↗"this is about automating how it happens today, but with the capabilities we have then how should it happen in future? And we've seen this happen again and again in technology. Where you actually have these breaking changes in how the experience happens."
Source on theCUBE ↗All theCUBE appearances (2)
AWS Mid-Year Leadership Summit 2025 | Colleen Aubrey, AWS
HOST · AWS · SVP of Applied AI Solutions (S-team)
AWS re:Invent 2025 | Colleen Aubrey, AWS
GUEST · AWS · SVP of Applied AI Solutions (S-team)