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HotTopics Studio: New York
HotTopics Studio: Abbey Road - CMO
Welcome to
Engineering the AI Era
In partnership with
Where engineering leaders deliver real business impact from AI
Software is now the defining capability of the modern enterprise—but the economics of building it are changing fast. AI-assisted development, platform automation, and new delivery models mean smaller, highly skilled teams can achieve more than ever before, while complexity continues to grow.
Engineering the AI Era explores how leaders can redesign software delivery to meet this moment—modernising legacy platforms, enabling faster and safer change, and ensuring AI drives real, measurable outcomes.
This content hub focuses on a critical HotTopic: how engineering leaders create environments built for continuous adaptation, rapid learning, and sustained impact. Designed for CIOs, CTOs, and senior engineering and data leaders. It offers a space to share insight, tackle complexity, and lead transformation with confidence.
Members can get involved through private roundtables, invitation-only events, and curated research—connecting with peers shaping the future of enterprise engineering.
The Orchestrators: Building transformation as a capability
London
29 Jul 2026
The leadership accountability gap: Who owns AI readiness?
Virtual
12 Aug 2026
The decision advantage: What happens when organisations see more?
Virtual
18 Aug 2026
When AI rewrites the organisation, who owns the software?
Virtual
16 Sep 2026
See, predict, respond: Building resilient supply chains in an era of constant disruption
London
29 Sep 2026
Agents and behavioural risk: You don’t know what you can’t see
Virtual
13 Oct 2026
HotTopics Studio Nashville
Country Music Hall of Fame, Nashville
26 Oct 2026
HotTopics Studio Amsterdam
Johan Cruijff Arena, Amsterdam
19 Nov 2026
HotTopics Studio New York
Carnegie Hall, New York
3 Mar 2027
HotTopics Studio London, Abbey Road
Abbey Road Studios, London
28 Apr 2027
HotTopics Studio Sardinia
Forte Village, Sardinia
22 Jun 2027
FEATURED REPORT
Escape AI pilot mode
Three ways engineering teams run AI experiments into measurable delivery improvements.
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AI tools don't create ROI
Enterprises are investing heavily in AI tools for software development. But without the right practices, architecture, and oversight in place, productivity gains remain inconsistent and hard to measure. To generate measurable returns, AI must be integrated into the software delivery lifecycle, not treated as a standalone tool.
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AI-native Engineering Field Manual
Enterprises everywhere are experimenting with AI, but most are stuck in pilots that fail to scale. Delivery is still too slow, fragile, and costly. Boards are demanding results. Competitors are moving ahead. The cost of standing still is losing ground.