Editorial standards

AI in NYC is operated by AI Media Concepts Inc.. The show is hosted by Rob May, Anna Kirk, Lauren Slyman and Stephen Messer, who are introduced on the about page. The weekly issues of the NYC AI Hiring Index are written by Vik Chadha. Pages built from data, such as the Hiring Index and the jobs index, are produced by code we wrote and can explain, and the methodology page explains it.

The people behind AI in NYC work in AI, and some of us invest in it. We are not a newsroom of career journalists, and we do not pretend otherwise. What we offer in place of a newsroom is a narrow beat, first-hand data, and these rules.

AI in NYC is paid for by the companies that sponsor the show, the newsletter and the dinner series, and by employers who buy listings on the job board. They are kept apart from what we report and count:

• Sponsors do not control our editorial content, and sponsoring the show, the newsletter or a dinner does not mean we endorse a sponsor’s products.
• Paid job listings are labelled as paid, on the job board and in the newsletter. The jobs index is a separate thing: it is read from companies’ own job boards every day.
• Hiring figures are made from those public job boards by the rules on the methodology page. A sponsor’s or an advertiser’s roles are counted the same way as anyone else’s.
• A guest appearance is one of the two ways a company enters our hiring coverage, and we say so: we track the companies on the NYC AI 100 and the companies whose people have appeared on the show. Once a company is tracked, its roles are counted by the same rules as every other company’s.

The relationships that could put pressure on those rules, including our hosts’ jobs and investments and the names of our sponsors, are set out in our disclosures.

When we record a funding round, an acquisition or a leadership move in the deals tracker, we read it in the original: the company’s announcement, an SEC filing, the investor’s post, or first-hand reporting from a major outlet. We link to that document so you can check us. Aggregator rewrites do not count.

Amounts and names are given as the source gives them. A valuation appears only when the source states one. When a round is known only from a Form D, the entry says so, because a filing reports equity sold and not a priced round with named investors. A leadership move is listed only when the company announced it or a major outlet reported it first-hand. We never infer a move from a profile change or from a job posting coming down.

The same rule governs the NYC AI 100. Founding years, addresses and rounds appear only where we found a source, and a missing field is left empty, not guessed. Each company’s New York headquarters was checked individually.

On episode pages, guest names and titles are as given in the show’s own notes at the time of recording. Summaries and takeaways are prepared from the conversations and may be condensed or paraphrased, so the episode itself is the authoritative record. Views expressed by guests are their own.

Most of what is original in our data comes from reading the public job boards of New York’s AI companies every morning. The full method is on the methodology page. The rules that matter most:

• Companies before postings. One employer with two hundred openings must not set the market, so we count how many companies do something before how many postings do.
• Like-for-like change only. When a company enters our coverage its whole board arrives at once. We report change across the companies present at both dates, and show the raw difference only so you can see the gap.
• No number from thin data. We do not publish a pay median from fewer than eight posted ranges. A blank is more honest than a precise-looking guess.
• Say what the number is. A tool named in a job posting is a tool an employer asks for. It is not proof of what runs in production, and we never describe it that way. An open role is not a hire, and a posted range is not an offer.
• Say what is missing. We read three posting systems, and a company that posts elsewhere is absent from the hiring data. That is why we say “the companies we track” and never “the New York AI market.”
• Dates as they are. If the latest figure for a company is two years old, we print the date next to it instead of implying it is current.

We cover AI and we use it. AI tools help us research, draft, and write the code behind this site, including the pipelines that produce the data. We think a publication on this subject should say so plainly.

The numbers themselves are not a model’s opinion. Roles are classified and tools are counted by rules we wrote, which the methodology page describes along with their known limits. If something here is wrong, it is our error, whatever tool was involved, and it is corrected and logged like any other.

Our company data comes from what companies publish themselves: job boards, filings, announcements. We do not collect personal data from job postings, and we do not store job descriptions. The people named on this site are the show’s hosts and guests, and executives whose moves were publicly announced. When someone submits a community event, the event is published and their name and email are not.

If we have written about you or your company and you believe a fact is wrong, tell us at hello@aiinnycshow.com. We will check it and, if you are right, fix it and log the correction.

We do not refresh dates to look current. Pages built from daily data show the date of the data. An entry in the deals tracker carries the date of the announcement. Every valuation or funding total in the NYC AI 100 shows when it was established. The events calendar shows the day its curated entries were last checked against each organizer’s own page. When a method changes, earlier data keeps its original values and is marked, and the change is dated on the methodology page.