Momentum
NYC 2026

A data-driven analysis of AI adoption, executive matchmaking, and sponsor intelligence

0
Attendees
Confirmed present
0
Sponsors
Solution providers
0
Intros Made
51 peer · 91 sponsor
0%
Survey Response
161 of 272 responded
New York City · 2026
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01 — Overview

Executive Summary

Momentum NYC 2026 brought together 272 senior AI practitioners from financial services, pharma, consulting, and technology. With 81% of attendees at Advanced or Scaling AI maturity, a 59% survey response rate, and 142 introductions facilitated — 91 sponsor meetings and 51 peer connections — this was an execution-focused audience demanding peer validation over product pitches.

What Worked
  • Sponsors got in the room
    357 attendee-initiated meeting requests across 26 sponsors — organic, unprompted demand
  • High-value introductions completed
    91 sponsor-attendee introductions formally facilitated on the day
  • Buying audience, not browsers
    81% of attendees actively deploying or scaling AI — not evaluating whether to start
  • Pre-qualified intent data captured
    161 attendees completed detailed surveys on their AI priorities and vendor needs
Critical Gaps
  • Industry Concentration
    Heavy FS + pharma; limited diversity
  • Sponsor Audience Fit
    3 sponsors had poor audience fit — Solidigm, Netomi, Section AI
  • 127 warm sponsor meetings left on the table
    Sponsors confirmed interest in these attendees — introductions were never made
Strategic Priorities
01
Convert the 127 confirmed sponsor interests into meetings — now
127 sponsor-attendee pairs where the sponsor confirmed interest were never introduced on the day
Immediate Revenue
02
Go back to underutilised sponsors before the next sales cycle — there's an upsell hiding there
Strong ICP density, low meeting activation — these sponsors got less than the room had to offer them
Sponsor Retention
03
Recruit sponsors in data governance and AI risk — categories the room demanded but couldn't find
22% of attendees flagged data governance as a top priority; no sponsor in the room addressed it
Portfolio Quality
04
Deepen relationships with top FS firms to pull in their solution vendors
Morgan Stanley, BofA, and AmEx each sent 7 people — their preferred vendors should be in the room
Long-term Growth
02 — Attendees

Attendee Intelligence

272 confirmed attendees across AI-forward enterprises

272
Attended
Confirmed in-room
81%
Advanced / Scaling AI
Not exploring — executing
34%
Director Level
Largest seniority cohort
9%
C-Level
CIOs, CTOs, CDOs, CEOs

Where They Are on the AI Journey

AI Maturity Breakdown

Advanced122 — 45%
Scaling99 — 36%
Strategic / Implementing20 — 7%
Early / Exploring14 — 5%
Optimizing / Mature7 — 3%
Other / Unknown10 — 4%

Seniority Distribution

Role-level breakdown across 272 attendees

Director86 — 32%
Other / Specialist79 — 29%
VP33 — 12%
C-Level25 — 9%
SVP / EVP17 — 6%
Managing / Sr Director17 — 6%
Manager15 — 6%

Industry Mix

Sectors represented in the room

Financial Services
Morgan Stanley, BofA, AmEx, Wells Fargo, Mastercard, Citi, BNY, JPMorgan
Pharmaceuticals & Life Sciences
Pfizer, Takeda, and broader biopharma cohort
Insurance
MetLife, Prudential, The Hartford, TIAA
Industrial & Engineering
Aecom, Mars, Verizon, and enterprise adjacents
Consulting & Technology
Cross-sector AI strategy and implementation leaders
59%
161 of 272 attendees responded to the personalised survey
Exceptionally high response rate
Up from 15.4% in the November edition — a 4× improvement in pre-event survey engagement.

Top AI Priorities

From attendee profiles — % who cited each as a priority

AI Governance, Risk & Compliance57% — 156 attendees
Enterprise AI Strategy & Scaling40% — 110 attendees
Generative AI & LLMs31% — 85 attendees
Financial Services AI23% — 62 attendees
AI Infrastructure & Cloud21% — 58 attendees
Agentic AI & Automation19% — 53 attendees
Analytics & ML11% — 31 attendees
Operations & Supply Chain AI11% — 31 attendees

Governance and strategy lead — but 19% are already building agents. This is an execution-stage room.

Who They Want to Meet

Peer personas requested by attendees

Enterprise AI Leaders (peers)44%
Industry Vertical Specialists31%
AI Platform / Vendor Experts22%
Regulatory / Policy Voices11%

Peer learning beats vendor pitches — attendees want candid practitioner exchange

Who should've been there
Roles in demand — underrepresented
Regulators & Policy Voices
Attendees wanted to understand where the rules are going. Nobody from a regulatory body was there to ask.
6 requests for regulatory contacts
Media & Content AI Executives
NBCUniversal, Paramount, and Fox attended — and wanted more like them. A cohort worth deliberately building.
12 requests for media industry peers
Supply Chain & Logistics AI Leaders
A meaningful share of attendees were working on ops AI. Almost no one from logistics or manufacturing was there to match them.
11 requests for supply chain peers
AI-Native Startup Founders & Investors
VCs and founders were in demand — attendees wanted to meet builders, not just deployers.
2–3 requests for VC & founder contacts
Industries to recruit for next edition
Retail & ConsumerHigh demand, low representation
AI personalisation and supply chain is a major use case — almost no retail representation
Healthcare & HospitalsPharma ≠ Healthcare
Pharma attended; hospital systems and payers were largely absent despite heavy AI investment
Energy & UtilitiesEmerging high-value vertical
AI for grid optimisation and predictive maintenance — fastest growing vertical, zero representation
Government & Public Sector1 of 272 attendees
1 government attendee. The people writing the AI rules weren't in the room
05 — Introductions

Curated Introductions — Pilot

AI-powered peer and sponsor introductions — from recommendation to real connection

97
attendees had at least one introduction onsite
36% of the room
8/10
overall event rating
Curated intros worked — met the right peers

I love this. I would encourage to keep having more of such curated introductions.

Strategy Director, TransformationLeading Biopharma Company

As an introvert who struggles with cold intros, I really appreciated this approach.

Conference AttendeeMomentum NYC 2026
Sponsor Curated Introductions
357
Pre-Event Requests
Attendees who asked to meet a sponsor
91
Introductions Made
Sponsor meetings facilitated onsite
127
Warm Pipeline Left Untapped
Sponsor confirmed interest — introduction never made
Pipeline
357
Queue Requests
Attendees actively requested sponsor intros
91
Intros Made
Organizer-confirmed sponsor connections
Prioritised Sponsors
29
avg meeting requests from attendees
7
avg intros made

9 sponsors Pirida actively matched to the right attendees

Sponsors not prioritised in the exercise still got meetings
6
avg meeting requests from attendees
1.4
avg intros made

17 sponsors who were not prioritised in this exercise still received meeting requests

Peer Introductions
Pipeline
241
Queue Requests
Attendees actively requested 241 intros
51
Intros Made
Organizer-confirmed connections

180 active requests remain unconverted — the highest-leverage opportunity for the next edition

06 — What to Do Next

The Recommendations

Sponsors had more of their ideal buyers in the room than they knew — a premium package conversation that never happened.

127 mutual connections confirmed by both sides. None were facilitated.

Governance and compliance — the #1 attendee priority — had almost no sponsor coverage.

What to do about it
01
Auto-convert all mutual signals before the event ends — not afterBuild into the playbook

127 sponsor-attendee and 55 peer mutual matches were never connected. Build a workflow that closes these before the closing keynote.

02
Build the sponsor portfolio around what attendees actually needPre-sales cycle

22% of attendees needed data governance solutions. None of the sponsors provided them. Fix the roster before the next sales cycle opens.

03
Assign a facilitation team to work the intro queue in the week before the eventPre-event

357 attendees requested sponsor meetings before arriving. Only 91 were facilitated. A dedicated sprint could convert the majority of that pipeline.

04
Sell the profiling. Sponsors who got it averaged 29 meeting requests and 7 intros. Sponsors who didn't averaged 6 and 1.4.Next edition

That's a 5× gap in outcomes — and it's a compelling reason to offer a premium activation tier. The data makes the upsell conversation easy.

05
Deliberately recruit from underrepresented industries and rolesNext edition

Regulators, risk officers, retail, healthcare systems, and energy — all in demand by the existing audience, all largely absent. These are the gaps that make the room more valuable for everyone.

06
Turn the survey responses into a content programme that keeps the community warmBetween editions

161 attendees told you exactly what they're working on. That's a content brief, a newsletter series, and a reason for sponsors to stay engaged year-round.