IVZInvesco Ltd.
AI adoption · Q1 2026 earnings call
FinancialsScaling
6
extracted from this call
3 / 5
operational, no hard numbers
Not disclosed
no breakout in this call
AI was addressed in a single Q&A exchange initiated by Morgan Stanley analyst Michael Cyprys. CEO Andrew Schlossberg described AI as a firm-wide productivity and capability-augmentation initiative, citing ~80% employee adoption of AI/GenAI tools. Use cases span investment research, client communications, content creation, and operational efficiency, but no financial quantification of AI's impact was provided.
Adopter
See full leaderboard →53/ 100
76
stage: scaling · max spec: 3
40
1 quant outcome
35
1 scope
internal_use
6 AI mentions from this call.
Extracted verbatim from the IVZ Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T3Q&A· CEO· Internal useJust a question on AI. I was hoping you could update us on how you are using AI across the organization today, what use cases have been most impactful so far as well as some of the key learnings you have had, and how you might quantify any of the benefits that you are seeing.
“One of the main things we have focused on the last year or two has been investing in tools for all of our teammates—the 7,500 people that we have around the world. Not just investing in the tools, but in education and how to apply them to process adoption across AI and GenAI.”
— Andrew Ryan Schlossberg, IVZ earnings call - T3Q&A· CEO· Internal useAs you look out over the next couple of years, can you talk to some of the steps that you are taking to further embed AI throughout the organization and how you are thinking about the longer-term opportunity set and benefits?
“We have use cases in the investment process and around client growth—things like investment research aggregation, sell signal adaptation, performance analytics, client communications—all those sorts of things.”
— Andrew Ryan Schlossberg, IVZ earnings call - T3Q&A· CEO· Internal useJust a question on AI. I was hoping you could update us on how you are using AI across the organization today, what use cases have been most impactful so far as well as some of the key learnings you have had, and how you might quantify any of the benefits that you are seeing.
“We estimate that close to 80% of our employees, in some way, shape, or form, are using these tools every day in their business activities.”
— Andrew Ryan Schlossberg, IVZ earnings call - T2Q&A· CEO· Internal useJust a question on AI. I was hoping you could update us on how you are using AI across the organization today, what use cases have been most impactful so far as well as some of the key learnings you have had, and how you might quantify any of the benefits that you are seeing.
“We are treating AI across the firm as a way to accelerate capabilities that we have today. It has been a focus of augmenting the teams that we have and applying it in data analysis, things like content creation, and creating operational efficiency.”
— Andrew Ryan Schlossberg, IVZ earnings call - T1Q&A· CEO· Internal useWhen you turn the page and look at what you would like to achieve in the coming years, what are some of the strategic priorities that investors should be thinking about?
“then, of course, technology and what it is going to do to innovate and move at a different pace. All those things are opportunities we have been leaning into, and we are going to lean into even more in 2026.”
— Andrew Ryan Schlossberg, IVZ earnings call - T1Q&A· CEO· Internal useAs you look out over the next couple of years, can you talk to some of the steps that you are taking to further embed AI throughout the organization and how you are thinking about the longer-term opportunity set and benefits?
“We are really trying to couple that with all the things that our clients expect from us, which is to protect their data and to protect the integrity around it. We are moving fast but cautiously, too.”
— Andrew Ryan Schlossberg, IVZ earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- Analyst (Morgan Stanley) explicitly asked management to quantify AI benefits; CEO declined to provide any financial or productivity metrics, offering only an employee adoption rate (~80%) as a proxy measure.
- No capex, opex, or R&D spend on AI disclosed.
- No specific AI vendor, platform, or model partnerships named.
- No timeline or targets provided for AI-driven cost savings or margin improvement.
- No detail on which investment process use cases (e.g., sell signal adaptation, performance analytics) are live versus in development.
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