Part of Lusha’s reports on how B2B contacts move. See also: B2B Contact Change Report Q2 2026 and Executive Mobility Report.
Every figure in this report was pulled from Lusha’s live database on September 12, 2026, through the Lusha connector for Claude. Counts are exact title matches on the contact’s current title and are floors, not ceilings. “Appointed in the last twelve months” means a detected job change into the title on or after September 1, 2025. No individuals are named. Method and limitations are at the end.
TL;DR
- Nearly half of the world’s Chief AI Officers got the job in the last twelve months. Of 1,180 contacts holding the exact title Chief AI Officer, 532 were appointed since September 1, 2025. That is 45.1%. Head of AI is the same: 1,007 incumbents, 444 appointed in the window, 44.1%.
- No established C suite title comes close. Over the same twelve months: Chief Revenue Officer 26.3%, Chief Information Security Officer 15.7%, Chief Marketing Officer 13.0%, Chief Data Officer 11.7%, Chief Technology Officer 11.6%.
- The pace is holding. 468 of the 976 appointments landed in the last six months, against 508 in the six months before that and roughly 300 per six months in the year before.
- The title is moving upmarket. Two thirds of AI leadership titles sit in companies under 200 people, but the recent appointment share is highest in companies of 200 to 10,000: 52% to 53%, against 41% in small companies.
- It is a global title. The US holds 30% of incumbents. Every major market with a usable base sits between 42% and 55% appointed in the last twelve months.
- The Chief Data Officer did not become the Chief AI Officer. Where a previous title is identifiable, moves from CDO to CAIO are rare. The common routes are a lateral move from another C suite seat, a founder taking the title, or promotion from a Head of AI or VP of AI role.
Published: September 2026.
Data source: Lusha live database, 290M+ verified contacts, queried September 12, 2026.
Method: exact title match on the contact’s current title. “Appointed in the last twelve months” means a detected job change into the title on or after September 1, 2025. Every count is a floor.
Part one: how new the title is
Every article about the rise of the Chief AI Officer asks the same question and none of them answer it with a number. Of the people who hold the title today, how many are new to it?
Two things to read from this.
The AI titles are not just new. They are new at a rate with no comparison in the C suite. The CRO is the fastest moving established title Lusha tracks, and it sits at roughly half the AI rate. The CTO, the seat the CAIO most often sits beside, is at a quarter.
The Chief Data Officer row is the one to watch. This was the emerging title of the previous wave. It is now the most settled of the five controls. Whatever the CAIO becomes, the CDO has already become it: a standing seat with a normal turnover rate.
Part two: the pace
Same two titles, three windows.
Read as six month blocks: 468 in the most recent six months, 508 in the six months before that, and 595 across the whole year before that, or roughly 300 per six months.
The rate roughly doubled between the 2024 to 2025 period and the 2025 to 2026 period, and has held. The most recent block is undercounted, because the newest changes are the ones least likely to have surfaced yet, so 468 is a floor.
Seven in ten people holding these titles today did not hold them two years ago.
Part three: which version of the title is winning
Title text is messy. These are the variants counted, grouped and published so the grouping can be checked.
Three observations.
The short form is the live title. “Chief AI Officer” outnumbers “Chief Artificial Intelligence Officer” six to one and is growing at nearly twice the rate. The long form reads as the older convention.
The hybrid title is real and growing. 352 people hold a title that puts data and AI in the same seat, and 41% of them are new to it. Companies are deciding whether AI is a new function or an extension of the data function, and a meaningful share are choosing to combine.
The broad director and head tier is bigger and slower. 3,423 people hold a director or head level AI title, three times the Head of AI count, but the recent appointment share is 32%. Titles like Head of Machine Learning predate the current wave. The growth is concentrated in the plain “AI” titles, not the older “machine learning” ones.
Part four: company size
Chief AI Officer and Head of AI combined, by LinkedIn headcount of the employer.
Eleven of the 2,187 incumbents have no headcount recorded and are excluded from this table only.
This is the finding. On volume, this is a small company title: two thirds of everyone holding it works somewhere with fewer than 200 people. On momentum, it is a mid market title: the recent appointment share is lowest in small companies and highest in the 200 to 10,000 band.
The reading is that the title started in startups, where a founder or an early technical leader can name a role whatever they like, and the last twelve months are when it crossed into companies with an HR function, a job architecture and a board that had to approve a new C suite seat. The tier over 10,000 sits in between: 48%, higher than the small companies but not yet at the mid market rate.
Part five: geography
Chief AI Officer and Head of AI combined, by contact location.
Markets under 50 incumbents are listed for completeness and not given a rate.
The country split is flatter than the size split. Every market with a usable base sits between 42% and 55%. Nobody is far ahead, nobody is far behind, and this is happening everywhere at once.
The US holds 30% of incumbents. For most C suite titles in Lusha’s database the US share is higher than that, so the AI title is more evenly spread across markets than the typical executive role. India is the largest market outside the US and UK on incumbents and the lowest on recent share, which reads as an earlier adopter now past its first wave. Germany and Australia show the highest recent shares, on bases of 112 and 58, so they are reported with the base beside them and not built into a headline.
Part six: where Chief AI Officers come from
For the 1,382 contacts holding Chief AI Officer or Chief Artificial Intelligence Officer, the previous title where one is recorded and matches a defined group.
This table covers 18% of Chief AI Officers. The other 82% have a previous title that does not match any of the strings above, or no previous title recorded. Treat the table as directional.
Within what is matched, the order is clear. The largest route into the title is a lateral move from another C suite seat or a founder taking the title. The second is promotion from a Head of AI or VP of AI role. The CTO is third. The Chief Data Officer, the role the CAIO is most often assumed to have grown out of, is last, and rare: ten people in a population of 1,382.
The founder share needs care. With 65% of AI titles in companies under 200 people, some Chief AI Officers are founders who chose the title at their own company. That is a real part of the population, and it is why the size split is published alongside.
What this means for GTM teams
A new Chief AI Officer is the cleanest new executive signal in the market. Nearly half of them are inside their first year. New leaders review the inherited stack and make vendor decisions in their first months, and this title arrives with a mandate to buy or build. If your product touches data, infrastructure, security, analytics or any workflow AI is expected to change, this person is on your buying committee now, and in many accounts did not exist a year ago.
Look at mid market accounts first. The 200 to 10,000 band has the highest rate of new appointments. That is where the title is being created rather than inherited, and a newly created seat comes with a newly created budget line.
Check for the hybrid title. 352 people hold a combined data and AI chief role. In those accounts the buyer for a data tool and the buyer for an AI tool is the same person. A list built on Chief Data Officer alone will miss them.
Refresh the account map. Seven in ten people in these titles were not in them two years ago. Any account list enriched in 2024 has the wrong name, or no name, against the AI seat.
Plays that run this directly:
- Find people who just changed roles in your target persona
- Find the decision maker, validate them, and draft the outreach email
- Build a verified buying group for a target account
- Get a single account signal brief before the call
Run these live: add the Lusha plugin to Claude →
Run it yourself
Every count in this report came from one Lusha connector call, prospecting_contact_search, with enrichment off. One credit per search, no reveals. The core query:
jobTitlesExactMatch: ["Chief AI Officer"]
jobChangedAfterDate: "2025-09-01"
page_size: 10Read pagination.total from the response. Drop jobChangedAfterDate for the incumbent count. Add countries: ["US"] for a country split, or employeesInLinkedIn: {min: 201, max: 1000} for a size band. Add previousJobTitle: ["Chief Data Officer"] for the career path table. Validate country codes through prospecting_contact_filters with type: "all_countries" first, because an unrecognized value returns zero rather than an error.
Methodology and limitations
Source: Lusha live database, 290M+ verified contacts, queried September 12, 2026, through the Lusha connector for Claude.
Exact title match: every count uses the full title string. “Chief AI Officer” does not include “Chief AI Officer & Co-Founder” or “Chief AI Officer, EMEA”. Every figure is therefore a floor. Part three shows which strings were grouped and which were not.
What “appointed in the last twelve months” means: a detected job change into the current title on or after the window start date. This includes external hires and internal promotions or title changes into the role. It does not distinguish between them.
Detection lag: the newest changes are the ones least likely to have surfaced yet. Recent windows are undercounted relative to older ones. The six month figure in particular is a floor.
Company size: LinkedIn headcount of the current employer. Eleven of 2,187 records have no headcount and are excluded from the size table only.
Geography: the contact’s recorded location, not the employer’s headquarters. Israel is excluded from this edition: the count returned did not pass our own sanity check and is under review.
Previous title: exact match on the recorded previous title. Coverage is 18% of the Chief AI Officer population. The remaining 82% either have no previous title recorded or hold one outside the matched groups. The table is directional.
How this relates to the Contact Change Report: the Q2 2026 Contact Change Report counted 601 CRO company changes detected between January 1 and June 1, 2026. This report counts 4,270 CROs with a detected job change since September 1, 2025. The two figures use different methods. The change report counts change events detected inside a fixed window. This report counts current incumbents whose most recent job change falls after a date, which includes internal promotions into the title and changes detected after the earlier report was pulled. Both are correct for what they measure. Neither should be used to check the other.
Privacy: all figures are aggregate counts. No individual contact is named or identifiable.
Compliance: all data accessed under Lusha’s certified compliance framework. Current certifications are listed on the trust center.
Data pulled from Lusha’s live database on September 12, 2026. Title counts are time sensitive; run a live query for the current state of any title, market or company size.
FAQ
How many Chief AI Officers are there?
Lusha’s live database held 1,180 contacts with the exact title Chief AI Officer on September 12, 2026, plus 202 with the long form Chief Artificial Intelligence Officer and 352 with a combined data and AI chief title. Counted together with Head of AI and the VP and director tier, about 6,300 people hold an AI leadership title. Every figure is an exact title match and a floor.
How many Chief AI Officers were appointed in the last year?
532 of the 1,180 Chief AI Officers, 45.1%, were appointed since September 1, 2025. Across Chief AI Officer and Head of AI combined, 976 of 2,187, or 44.6%. The comparable figure for Chief Data Officers is 11.7% and for CTOs 11.6%.
Is the Chief AI Officer a startup title or an enterprise title?
Both, at different stages. Two thirds of people holding the title work at companies under 200 people. But the highest rate of new appointments is in companies of 200 to 10,000 employees, at 52% to 53%, against 41% in small companies. The title started small and is moving into the mid market.
Did Chief Data Officers become Chief AI Officers?
Rarely. Of the Chief AI Officers with an identifiable previous title, ten came from a Chief Data Officer seat. Far more came from another C suite seat, a founder role, or a Head of AI or VP of AI position. The previous title data covers 18% of the population, so this is directional.
How were these numbers produced?
Through a single Lusha connector call, prospecting_contact_search, with exact title match and a job change date filter, enrichment off. One credit per search, no contact reveals. The query is published in full in the Run it yourself section so anyone with a Lusha account can reproduce it.
