Reuters Events: Momentum AI Austin 2026

Reuters Events: Momentum AI Austin 2026 runs 24-25 September 2026 at the JW Marriott in Austin, Texas, preceded by a Day Zero Harvard AI Masterclass on 23 September. Reuters caps it at around 500 hand-picked attendees, more than 70% of them enterprise decision-makers, with 60-plus speakers and 20-plus interactive sessions. The agenda is organised into four mandates - BUILD, build the AI backbone; GOVERN, govern and protect; LEAD, lead the AI enterprise; and GROW, grow the AI business - and opens with a deliberately unsentimental keynote, 'Reality Check 2026: The AI Honeymoon Is Over'. Speakers include the chairman of the Federal Trade Commission alongside CIOs from Warner Bros, BNY, UnitedHealth Group, Indeed, Phillips 66 and CNN, plus practitioners from Wells Fargo, Merck, Albertsons, Charles Schwab, AbbVie and Unilever.

Date

September 24–25, 2026

Location

JW Marriott Austin, Texas

Format

In-Person

Event Type

Conference

Status

Upcoming

Expected Attendance

500+

Pricing

Paid

Organizer

Reuters Events

Added

Jun 24, 2026

Updated

Aug 18, 2026

• ✓CIO
• ✓Chief AI Officer / Head of AI
• ✓Chief Data & Analytics Officer
• ✓CTO / Head of Engineering
• ✓Chief Digital or Transformation Officer
• ✓Head of AI governance, risk and compliance
• ✓Chief Information Security Officer

This is a small, expensive, curated room rather than a trade show: attendance capped near 500, mostly buyers, with sessions built around decisions instead of demos - 'From Pilot Purgatory to Production', 'AI at Enterprise Scale: Safety, Speed and Governance', 'Audit-Ready AI'. A CIO or Chief AI Officer goes to compare notes with peers who have already hit the same walls on cost, governance and workforce readiness, and to hear a sitting FTC chairman on regulatory direction. The Harvard masterclass day gives the trip a structured framework, and group rates drop the per-seat cost to $2,774 for a team of five.

• ✓Day Zero, 23 September: Harvard AI Masterclass, an executive learning experience with its own framework for the two conference days
• ✓BUILD track - 'Build the AI Backbone': secure-by-default systems, compute and cost management, integrating autonomy, futureproofing platforms from LLMs to agents and world models
• ✓GOVERN track - 'Govern & Protect': governance as an operating requirement rather than an advisory function
• ✓LEAD track - 'Lead the AI Enterprise'
• ✓GROW track - 'Grow the AI Business': customer, product and revenue impact
• ✓Opening keynote: 'Reality Check 2026: The AI Honeymoon Is Over'
• ✓Keynote: 'The Implementation Gap - What Separates AI Builders from AI Talkers' - Jess Jarvis, ZS
• ✓Executive panel: 'From Pilot Purgatory to Production: The Enterprise AI Wins' - Charles Schwab, UnitedHealth Group, Warner Bros, AbbVie
• ✓Panel: 'AI at Enterprise Scale: Safety, Speed, and Governance' - Wells Fargo, CNN, Merck, HiddenLayer
• ✓Blue Stage panel: 'The State of AI Leadership - Who Owns AI?' - Unilever, AGCO, Albertsons
• ✓Session: 'Trust, Governance and the Next Phase' - Leigh-Ann Russell, BNY
• ✓Sessions: 'Audit-Ready AI' (KPMG), 'Building an AI-Ready Workforce' (Principal Financial Group), 'The Missing Layer - Why Physical Intelligence Is the Next Frontier' (Esri)
• ✓AI Circles peer roundtables, including a CxO Digital Twin case study

• ★Attendance is capped at roughly 500 hand-picked people with more than 70% enterprise decision-makers, so the ratio of buyers to sellers is managed rather than left to whoever bought a booth.
• ★A Day Zero Harvard AI Masterclass on 23 September gives the two conference days an academic framework, rather than leaving attendees to assemble their own conclusions from a folder of vendor decks.
• ★The four-mandate structure - BUILD, GOVERN, LEAD, GROW - maps sessions onto the actual decisions an AI programme owner has to make, instead of onto vendor categories.
• ★The programme leads with the failure cases: the opening keynote is 'Reality Check 2026: The AI Honeymoon Is Over', followed by 'The Implementation Gap - What Separates AI Builders from AI Talkers' and 'From Pilot Purgatory to Production'.
• ★It is one of the few enterprise AI events with a sitting regulator on the mainstage - FTC chairman Andrew Ferguson - alongside CIOs of Warner Bros, BNY, UnitedHealth Group and Indeed.
• ★The pass price ($3,699-$3,999, business email addresses only) and the 20-plus interactive session format make it a peer forum rather than a broadcast conference.

One attendee tier. The Business Pass, "For senior professionals working at enterprise-level organisations", is $3,999, with an early-bird rate of "$3,699 (Save $300)" for bookings by 4 September 2026. Group rates: $3,329 per pass for three attendees, $3,070 per pass for four, and $2,774 per pass for five or more. Reuters states that "Only business email addresses will be considered". Attendance is curated and capped, so registration is subject to approval; sponsor and exhibitor packages are quoted separately.

When is Reuters Events?

Reuters Events takes place September 24–25, 2026 in Austin, Texas.

Where is Reuters Events held?

Reuters Events is held in Austin, Texas. The event format is in-person.

How much does Reuters Events cost?

Reuters Events is paid. One attendee tier. The Business Pass, "For senior professionals working at enterprise-level organisations", is $3,999, with an early-bird rate of "$3,699 (Save $300)" for bookings by 4 September 2026. Group rates: $3,329 per pass for three attendees, $3,070 per pass for four, and $2,774 per pass for five or more. Reuters states that "Only business email addresses will be considered". Attendance is curated and capped, so registration is subject to approval; sponsor and exhibitor packages are quoted separately.

Who should attend Reuters Events?

Reuters Events is aimed at CIO, Chief AI Officer / Head of AI, Chief Data & Analytics Officer, CTO / Head of Engineering, Chief Digital or Transformation Officer, Head of AI governance, risk and compliance, Chief Information Security Officer.

What topics does Reuters Events cover?

Reuters Events covers Scaling AI from pilot to production, Enterprise AI platforms and architecture, AI governance, risk and regulatory compliance, AI cost, compute and unit economics, Agentic AI and autonomous systems, AI leadership and operating models, AI-ready workforce and change management, Measuring AI business impact and ROI.

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