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About this event
Auto AI USA
Overview
Auto AI USA is positioned as an industry event focused on applying artificial intelligence across the automotive sector. Based on the available official website content provided, we do not have reliable, extractable details for the specific dates, venue, or host city for the “USA” edition.
We recommend validating the event page sections that normally contain registration, agenda, venue, and location details. Once those fields are confirmed, we can produce a complete buyer-attendee research profile for the specific Auto AI USA edition.
What we can deliver next (once event details are confirmed)
- Who attends (buyers/attendees): identify the most likely decision-makers and sponsoring stakeholders tied to AI adoption in automotive.
- Where the show is happening + attendee geographic origin: map the typical origin regions for attendees based on the confirmed venue and past participation patterns.
- Audience reach (local/national/global): classify the event reach using confirmed city/country and organizer footprint.
- Sample buyer companies (buyers-only): generate a vetted list of target organizations with roles aligned to AI strategy, data/analytics, product engineering, and automotive transformation.
- Job profiles, industries & event type: create an actionable targeting matrix for procurement-aligned buy-side personas (where applicable), plus AI/automotive-adjacent industries.
- Estimated attendance: estimate total footfall and density indicators after confirming event scale indicators on the official page (agenda capacity, speaker count, exhibitor/sponsor totals).
- Key focus areas & buyer engagement: translate the event positioning into concrete engagement topics and buying triggers.
- Client-product fit alignment: tailor the best buyer segments based on the client’s website and what they sell (for example: AI software, data platforms, consulting services, hardware/edge AI, training, integration services, etc.).
Data sheet
Auto AI USA – Event Attendee & Buyer Profile Analysis
Event Date: 29–30 June 2026
Location: Hyatt Regency, San Francisco, CA, United States
Event Status: Upcoming
Research Date: 30 June 2026
Client Website: Not provided
Event Overview
| Event Name | Auto AI USA |
| Event Date | 29–30 June 2026 |
| Event Status | Upcoming |
| Venue | Hyatt Regency |
| City | San Francisco |
| State / Region | CA |
| Country | United States |
| Organizer | we.CONECT Global Leaders Group (identified from official site title reference) |
| Official Event Website | auto-ai.com |
| Event Type | Conference / summit focused on automotive AI, mobility technology, and digital transformation |
| Primary Category | Auto & Automotive |
| Secondary Applicable Categories | IT & Technology; Industrial Engineering; Electric & Electronics |
| Audience Reach | National with strong international mobility-tech relevance |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low to Medium. Publicly available source text does not include official audience metrics. |
| Main Purpose of Event | To bring together automotive and mobility stakeholders focused on AI adoption, connected vehicle innovation, data-driven operations, and commercial partnerships. |
About the Event
Auto AI USA is a specialized industry event centered on the application of artificial intelligence across the automotive value chain. It is designed to connect business, technology, and operations leaders exploring practical use cases in vehicle intelligence, software-defined mobility, connected experiences, and AI-enabled product and enterprise transformation.
The event is relevant for organizations seeking partnerships, sourcing opportunities, and market insight across OEMs, Tier 1 suppliers, software vendors, data and analytics providers, semiconductor companies, and mobility innovators. For B2B lead generation, this event is particularly useful for targeting decision-makers involved in procurement, digital transformation, R&D, product development, engineering, and commercial strategy.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Automotive OEM leadership | Vehicle manufacturers, mobility platform operators, commercial EV developers | Strategic decision-making on AI, software, product, and supplier selection | High-value audience for software, sensors, data, cloud, and engineering services |
| Procurement and sourcing teams | OEMs, Tier 1s, fleet operators, mobility tech firms | Vendor qualification, commercial negotiations, category sourcing | Strong fit for supplier discovery and pipeline generation |
| Technology and digital transformation leaders | Automotive technology groups, enterprise IT, AI engineering teams | Selection of platforms, AI tools, cloud, data stack, and integration partners | High relevance for AI, data, MLOps, cybersecurity, and software suppliers |
| Engineering and R&D leaders | Vehicle engineering, autonomy, ADAS, embedded systems, product development | Technical evaluation, prototype adoption, innovation roadmap influence | Relevant for hardware, sensor, simulation, and AI solution providers |
| Operations and plant leadership | Manufacturing plants, assembly operations, quality and production groups | Operational efficiency, automation, quality improvement, predictive maintenance | Good fit for industrial AI, automation, inspection, and analytics vendors |
| Supplier innovation / partnerships teams | Innovation offices, corporate development, ecosystem teams | Pilot selection, startup engagement, partnerships, ecosystem sourcing | Highly relevant for startups, scaleups, and technology vendors |
| Consultants and advisors | Automotive consultants, transformation advisors, engineering firms | Influence on vendor recommendations and program design | Useful for channel-building, referrals, and implementation partnerships |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: San Francisco | Local Bay Area executives, founders, engineers, investors, enterprise buyers | High | Strong concentration of AI, software, mobility, and venture ecosystem participants |
| Host state: California | OEM innovation teams, autonomous vehicle firms, EV suppliers, technology companies | Very High | California is a major hub for automotive technology, AI, and mobility startups |
| Nearby business hubs | Silicon Valley, San Jose, Oakland, Sacramento, Los Angeles | High | Attracts buyers from adjacent innovation, manufacturing, and enterprise technology centers |
| National reach | Automotive and technology buyers from major U.S. metro regions | High | Relevant for suppliers selling into U.S. OEMs, Tier 1s, and enterprise mobility buyers |
| International reach | Global automotive and mobility stakeholders | Moderate to High | Likely cross-border attendance from suppliers, software vendors, and innovation partners |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Secondary reach | Although hosted in the United States, the theme of automotive AI attracts international OEMs, Tier 1 suppliers, software firms, and mobility innovators. |
| National | Primary classification | The event is best characterized as a U.S.-focused business and technology conference with broad domestic buyer relevance. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Toyota Motor North America | Automotive OEM | Major enterprise buyer for AI, connected vehicle, and manufacturing technologies | toyota.com | VP Procurement, Director of Digital Transformation, Head of Mobility AI, Innovation Manager | Strong Market Fit, Attendance Not Confirmed |
| Ford Motor Company | Automotive OEM | Potential buyer for AI software, data, cybersecurity, and engineering tools | ford.com | Procurement Director, IT Director, AI Product Leader, Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| General Motors | Automotive OEM | Large-scale mobility and manufacturing buyer with AI transformation priorities | gm.com | Chief Procurement Officer, VP Engineering, Data Platform Director, Strategic Sourcing Manager | Strong Market Fit, Attendance Not Confirmed |
| Stellantis | Automotive OEM | Global OEM with strong need for software-defined vehicle and AI partnerships | stellantis.com | Head of Procurement, Mobility Strategy Director, Product Platform Lead, Innovation VP | Strong Market Fit, Attendance Not Confirmed |
| Hyundai Motor Group | Automotive OEM / mobility | Relevant for AI-enabled mobility, autonomous systems, and supplier innovation | hyundai.com | Director of Advanced Technology, Procurement Manager, ADAS Lead, Digital Strategy Director | Strong Market Fit, Attendance Not Confirmed |
| Bosch Mobility | Tier 1 supplier / automotive technology | Major buyer and partner for AI, embedded systems, sensors, and software | bosch.com | VP Sourcing, Business Development Director, Engineering Manager, AI Program Lead | Strong Market Fit, Attendance Not Confirmed |
| Continental | Tier 1 supplier / automotive technology | Potential buyer for AI, digital cockpit, and intelligent mobility solutions | continental.com | Sourcing Director, Product Manager, R&D Director, Technology Partnerships Lead | Strong Market Fit, Attendance Not Confirmed |
| NVIDIA Automotive | AI / semiconductor / automotive tech | Core AI compute provider for automotive and autonomous applications | nvidia.com | Partner Director, Automotive Sales Leader, Solutions Architect, Ecosystem Manager | Strong Market Fit, Attendance Not Confirmed |
| Waymo | Autonomous mobility company | Highly relevant for autonomy, AI safety, perception, and platform partnerships | waymo.com | Procurement Lead, Technical Program Manager, Partnerships Director, Autonomy Engineering Manager | Strong Market Fit, Attendance Not Confirmed |
| Aurora Innovation | Autonomy / mobility technology | Potential buyer for AI tooling, sensors, compute, and engineering services | aurora.tech | VP Engineering, Strategic Sourcing Manager, Program Manager, Platform Partnerships Lead | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Procurement Officer / VP Procurement | Procurement | C-Level / VP | Owns sourcing priorities, supplier strategy, and commercial approvals |
| 2 | Director of Digital Transformation / CIO / CTO | IT / Technology | Director to C-Level | Approves AI platform, data, cloud, and enterprise technology investments |
| 3 | Director of Engineering / Head of R&D | Engineering / Product | Director / VP | Evaluates technical fit for AI systems, embedded tools, and product innovation |
| 4 | Strategic Sourcing Manager / Category Manager | Procurement / Supply Chain | Manager / Senior Manager | Directly responsible for supplier evaluation and category-specific purchases |
| 5 | AI / Machine Learning Lead | Data / Innovation / Engineering | Manager to Director | Technical buyer for model tooling, data platforms, and integration partners |
| 6 | Product Manager / Platform Owner | Product | Manager / Senior Manager | Translates market needs into solution requirements and vendor selection criteria |
| 7 | Operations Director / Plant Manager | Operations / Manufacturing | Director / Senior Manager | Interested in automation, quality, predictive maintenance, and efficiency gains |
| 8 | Partnerships Director / Corporate Development | Business Development / Strategy | Director / VP | Evaluates ecosystem partners, startups, and strategic alliances |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Automotive | Core industry for the event | OEMs, Tier 1 suppliers, mobility platforms, fleet operators |
| 2 | Computer Software | AI, data, and platform software are central to the theme | Software buyers and solution evaluators |
| 3 | Information Technology & Services | Enterprise AI and digital transformation use cases | IT leaders, platform buyers, systems integrators |
| 4 | Semiconductors | Automotive AI depends on compute and embedded processing | Chip buyers, hardware partners, edge AI vendors |
| 5 | Electrical/Electronic Manufacturing | Sensors, controllers, electronics, and edge devices are key enablers | Hardware sourcing and design-in opportunities |
| 6 | Industrial Automation | Manufacturing AI and automation are relevant to automotive operations | Plant automation, quality inspection, predictive maintenance |
| 7 | Internet | Connected services, software platforms, and digital ecosystems | Digital platform and SaaS buyers |
| 8 | Logistics & Supply Chain | Vehicle logistics, fleet analytics, and supply chain optimization matter | Operations and logistics technology buyers |
| 9 | Management Consulting | Consultants influence transformation and vendor selection | Advisory, change management, implementation referrals |
| 10 | Transportation/Trucking/Railroad | Fleet and mobility operators increasingly adopt AI-driven optimization | Fleet telematics, route optimization, safety analytics |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Not publicly confirmed | Unconfirmed | Official website content provided did not include attendance metrics | No reliable public figure found in the provided source text |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website content provided did not include exhibitor totals | Use official prospectus or agenda if available |
| Buyer count | Not publicly confirmed | Unconfirmed | No official buyer registration summary available in provided source text | Important for lead list sales, but not currently verifiable |
| Speaker count | Not publicly confirmed | Unconfirmed | Official website content provided did not include agenda or speaker totals | Speaker list should be checked on the official agenda page |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official website content provided did not include sponsorship data | Useful for sponsorship prospecting once prospectus is available |
| Historical attendance | Not available from provided source text | Historical / prior-year evidence unavailable in current review | Official source text provided | Attendance figure not publicly confirmed by the organizer. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| AI / machine learning | Model performance, deployment, governance, and integration | Demo sessions, technical workshops, proof-of-value discussions | MLOps, model platforms, AI orchestration, analytics tools |
| Connected vehicle software | Data exchange, vehicle services, infotainment, and customer experience | Product and partnership meetings with software buyers | Vehicle OS, middleware, APIs, cloud integration |
| Autonomy / ADAS | Perception, safety, validation, simulation, and sensor fusion | Engineering-level conversations with technical buyers | Sensors, compute, simulation, validation software, safety systems |
| Data platforms | Unified data architecture and real-time analytics | IT buyer qualification and architecture review discussions | Data platforms, lakehouse, governance, ETL/ELT, observability |
| Manufacturing automation | Efficiency, quality, predictive maintenance, and defect reduction | Operations-focused meetings and plant case studies | Industrial AI, machine vision, robotics, automation systems |
| Cybersecurity | Vehicle and enterprise security, compliance, threat detection | Security stakeholder outreach and risk-focused demonstrations | Security monitoring, identity, endpoint, connected-car protection |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The event is highly aligned with decision-makers in automotive AI, mobility, software, and innovation. |
| Decision-maker availability | High | Likely to attract senior leaders in procurement, technology, engineering, and partnerships. |
| Data collection potential | Medium | Good opportunity if official agenda, exhibitors, or speakers are published; current source text is limited. |
| Apollo targeting potential | Very High | Clear fit for automotive, software, semiconductor, and enterprise technology segments. |
| Geographic targeting potential | High | San Francisco and California provide dense concentration of AI, mobility, and enterprise accounts. |
| Best outreach approach | High-personalization / account-based outreach | Use role-specific messaging around AI transformation, operational efficiency, and vendor evaluation. |
| Overall lead quality | High | Strong for enterprise B2B prospecting, especially in automotive, AI, and industrial technology. |
| Best use case | Lead generation and account mapping | Useful for attendee list sales, ABM, sponsorship outreach, and partner development. |
| Limitations / risks | Limited public verification | No confirmed attendee, exhibitor, or speaker lists were available in the provided source text. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Automotive; Computer Software; Information Technology & Services; Semiconductors; Electrical/Electronic Manufacturing; Industrial Automation; Internet; Logistics & Supply Chain | Align the search with the event’s core buyer and partner ecosystem |
| Departments | Procurement; Information Technology; Engineering; Product; Operations; Business Development; Partnerships; Innovation | Reach the functions most likely to buy, influence, or recommend solutions |
| Seniority | Manager; Senior Manager; Director; VP; CXO | Prioritize decision-makers and senior influencers |
| Job titles | Chief Procurement Officer; VP Procurement; Director of Procurement; Strategic Sourcing Manager; CIO; CTO; Director of Engineering; Head of AI; Product Director; Partnerships Director | Target titles most likely to attend or influence buying decisions |
| Geography | United States; California; Bay Area; West Coast | Focus on the event’s strongest regional buying concentration |
| Employee size | 200–500; 500–1,000; 1,000–5,000; 5,000+ | Prioritize organizations with structured procurement and technology budgets |
| Keywords | AI, automotive, connected vehicle, autonomous, ADAS, mobility, digital transformation, data platform, MLOps, machine learning | Improve precision for event-relevant buyers |
| Company type | Enterprise; OEM; Tier 1 supplier; scale-up; technology provider; mobility operator | Match the event’s commercial and innovation mix |
Suggested Apollo Search Logic: Use a combined filter set such as Automotive OR Computer Software OR Semiconductors, paired with titles like Director of Procurement, VP Engineering, Head of AI, CTO, Product Manager, and Partnerships Director. Add keywords including “autonomous,” “connected vehicle,” “machine learning,” “mobility,” and “digital transformation” to isolate high-intent accounts.
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| Auto AI USA official website | Official organizer / event site | Event identity, official website, and organizer title reference visible in page title | High for event identity; limited for attendance and agenda details |
| User-provided event details | Provided briefing | Dates, city, state/region, country, venue, and event title | High for the supplied fields |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to Auto AI USA — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds