---
title: An Editor’s Guide to AI at P|PW New York 2026
description: Explore the AI sessions at P|PW New York 2026 with practical questions on media privacy, output quality, total time, and reliable editing workflows.
image: https://blog.fmctraining.com/hubfs/PPWNY26%20Blog%20Images/ppwny26-ai-hero-1600.jpeg
---

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# A Working Editor’s Guide to the AI Track at Post|Production World New York

By [Tyree Peters](https://blog.fmctraining.com/fmc-forward/author/tyree-peters)

24 Sep 2026

[![author](https://blog.fmctraining.com/hubfs/tyree_peters_headshot.jpg)](https://blog.fmctraining.com/fmc-forward/author/tyree-peters)

[Tyree Peters](https://blog.fmctraining.com/fmc-forward/author/tyree-peters) 24 Sep 2026

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An AI tool earns a place in an editing workflow when you can explain where the footage goes, how you checked the result, and what the next person on the project will receive. Those are useful questions to bring to a training session—and to ask again before a client deadline.

The AI programming at Post|Production World New York[3](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-3) offers several ways into that conversation. This guide connects the session topics to a practical evaluation process you can use on your own projects.

## Use the readiness gap to ask better questions

![A presenter demonstrating visual tools to attendees at Post|Production World New York 2025.](https://blog.fmctraining.com/hs-fs/hubfs/PPWNY26%20Blog%20Images/ppwny26-ai-hero-1600.jpeg?width=1600&height=1067&name=ppwny26-ai-hero-1600.jpeg)

A demonstration at P|PW New York in 2025. Photo: supplied P|PW NY 2025 archive.

### Expectation and preparation

**More than 94%** of respondents to NCS’s 2026 sentiment survey expected AI to have the biggest operational impact that year. **14.6%** said their organizations were fully prepared to implement or expand AI workflows. The sample comprised 309 self-selected readers surveyed in November–December 2025, not a representative industry sample. Source and methodology[4](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-4).

These figures describe expectations and preparedness, not proven gains from a particular product. They are a reason to make evaluation explicit: what problem are you solving, what counts as acceptable output, and who needs to approve the result?

## Begin with the footage and the feature

Before testing, establish which material your team permits you to use and where it may be processed. Check the specific feature, settings, and service involved. An application can contain both local and cloud functions, so an application name alone does not answer the question.

Adobe provides a concrete example. Its Speech to Text documentation[5](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-5) says offline transcription is available in Premiere 22.2 and later once the relevant language pack is installed. Its Generative Extend documentation[6](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-6) says that feature uses a cloud model and requires an internet connection. Those are different processing arrangements inside the same editing ecosystem.

Jeff Greenberg’s session on privacy-first local AI is a useful topic to investigate with that distinction in mind. The published program lists it alongside his reliability-scorecard session. Ask which components run locally, what must be downloaded first, and what happens when the workstation is disconnected. Also check the hardware and software version used in the demonstration.

### Questions to bring

- Where are the source media, prompts, and generated results processed and stored?
- Which settings or features change that behavior?
- What material has our team approved for the test?
- Can another editor reproduce the result on the systems we actually use?

## Measure the complete task, including repairs

A generation timer is only one part of an editing task. Include preparation, upload or model setup, processing, review, fixes, and export. If a tool produces a fast first pass but needs extensive correction, the first-pass time will give you an incomplete comparison.

For a transcription test, keep the interview and acceptance criteria the same. Check names, terminology, speaker changes, and meaning. For a visual test, look beyond an attractive still frame: inspect motion, continuity, unwanted changes, and the exported file. Record what failed as carefully as what worked.

### Illustrative time comparison—not a performance claim

**Existing method: 30 minutes.**  
AI-assisted method: 5 minutes setup + 4 minutes processing + 12 minutes checking and fixes = **21 minutes**.  
In this hypothetical example, the complete task saves 9 minutes, or 30%, if output quality is equivalent. Replace these numbers with your own measurements.

Use Greenberg’s scorecard topic to sharpen your own criteria. Avoid assuming that success on one shot, language, or workstation will transfer unchanged to the next project. Keep a record of the conditions under which the result was acceptable.

![Speakers discussing production topics during Post|Production World New York 2025.](https://blog.fmctraining.com/hs-fs/hubfs/PPWNY26%20Blog%20Images/ppwny26-ai-discussion-1600.jpeg?width=1600&height=1067&name=ppwny26-ai-discussion-1600.jpeg)

A production discussion at the 2025 event. Photo: supplied P|PW NY 2025 archive.

## Connect each session to a decision you need to make

The NAB-linked program grid[2](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-2) lists the sessions below. These suggested questions are a way to prepare; they are not promises about a particular demonstration or take-home deliverable.

### Editing: what becomes easier to find, change, or revise?

Luisa Winters’s session on reimagining editing workflows with AI is a starting point for timeline questions. Bring a recurring task, such as organizing interviews or building an assembly. Ask where you retain control over selection, pacing, and revisions, and how the result travels through your existing project.

### VFX: does the shot survive the actual delivery?

Eran Stern’s sessions on generative VFX and integrating 2D and 3D elements with AI and After Effects connect naturally to compositing questions. Ask how to assess motion, lighting, edges, grain, and consistency across frames. Test at the intended delivery settings, and document any correction work.

Feature limitations matter here. Adobe’s current Generative Extend documentation[6](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-6) lists generated video as 8-bit SDR, including when source media has greater bit depth or is HDR. That is a specific delivery constraint to check before incorporating an extension into a finishing workflow—not a statement about every AI tool.

### Production: what changes before the timeline?

Gary Adcock’s generative-cinema session broadens the discussion to production choices. Rich Harrington’s session on building AI tools ethically and efficiently adds another angle. Bring questions about how a proposed tool affects the brief, review process, versioning, and responsibilities across the team. Write down who needs to be involved before a new step becomes routine.

## Bring this five-part evaluation card home

### A practical test record

- **Task:** one repeatable job with an existing baseline.
- **Inputs:** approved material, software version, hardware, and settings.
- **Quality:** written acceptance criteria and the review needed to meet them.
- **Total effort:** setup, processing, corrections, export, and direct costs.
- **Handoff:** what a colleague receives, what stays editable, and how to reproduce the result.

Start with a small internal test. Keep your established method available while you evaluate. Repeat the test with a second type of material before broadening its use. A useful outcome may be a narrow approval—one task, one type of footage, one documented process—rather than a change to the entire pipeline.

Your notes should make the next decision easier. Someone who missed the session should be able to understand what you tried, why it helped, and when to avoid it. That makes the learning useful beyond the room.

P|PW New York takes place October 20–21, 2026, at the Javits Center. The conference pass also includes show-floor access October 21–22; see NAB’s program and access details[1](https://blog.fmctraining.com/fmc-forward/working-editors-guide-ai-ppw-new-york-2026#source-1) and [current pricing](https://www.nabshow.com/new-york/passes-and-pricing/). Check the live schedule when you build your plan.

If you are planning to attend, browse the [current program](https://www.nabshow.com/new-york/education/ppw-ny/) and [registration options](https://registration.experientevent.com/ShowNAB268/Flow/ATT/?MarketingCode=NY26Web) to build your own two-day plan.

## Sources

1. [NAB Show New York: P|PW program](https://www.nabshow.com/new-york/education/ppw-ny/) — dates and pass access.
2. [NAB-linked program grid](https://air-original.imgix.net/198d1220-d5c3-4c11-900e-8d5e5ac42ac1.pdf?ixlib=react-9.10.0) — AI session titles and instructors.
3. [Post|Production World New York](https://ppw-conference.com/new-york) — venue and conference overview.
4. [NCS 2026 industry sentiment survey](https://www.newscaststudio.com/2026/01/06/broadcast-media-industry-sentiment-survey-2026-ai-automation-consolidation/) — AI expectation, readiness, and sample methodology.
5. [Adobe: Speech to Text](https://www.adobe.com/products/premiere/speech-to-text.html) — offline transcription availability.
6. [Adobe: Generative Extend overview](https://helpx.adobe.com/premiere/desktop/edit-projects/edit-with-generative-ai/generative-extend-overview.html) — cloud processing and output limitations; updated September 9, 2026.
   
   Program and sources checked September 22, 2026. Session titles, times, and availability may change. Planning recommendations are the author’s guidance, not measured outcomes from this event.

- [Post Production](https://blog.fmctraining.com/fmc-forward/tag/post-production)
- [Post Production World](https://blog.fmctraining.com/fmc-forward/tag/post-production-world)
- [NAB Show](https://blog.fmctraining.com/fmc-forward/tag/nab-show)
- [video editing workflows](https://blog.fmctraining.com/fmc-forward/tag/video-editing-workflows)
- [AI video editing](https://blog.fmctraining.com/fmc-forward/tag/ai-video-editing)
- [AI post-production](https://blog.fmctraining.com/fmc-forward/tag/ai-post-production)
- [Post|Production World New York](https://blog.fmctraining.com/fmc-forward/tag/postproduction-world-new-york)

0

![Tyree Peters](https://blog.fmctraining.com/hubfs/tyree_peters_headshot.jpg)

[Tyree Peters](https://blog.fmctraining.com/fmc-forward/author/tyree-peters)

 FMC Marketing Manager and Content Creator with a proven ability to merge sales expertise with data-driven insights to build strategies that boost engagement and elevate brand awareness. Beyond my professional work, I’ve cultivated personal success as a creator by honing my skills in graphic design, video editing, and live streaming. This dedication has earned me YouTube Partner status twice and continues to generate thousands of views daily across multiple platforms. Passionate about connecting brands with their audiences, I thrive on turning creative ideas into measurable growth.

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[![Planning Your Two Days at Post|Production World New York](https://blog.fmctraining.com/hubfs/PPWNY26%20Blog%20Images/ppwny26-plan-hero-1600.jpeg)](https://blog.fmctraining.com/fmc-forward/plan-your-two-days-ppw-new-york-2026)

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### [Planning Your Two Days at Post|Production World New York](https://blog.fmctraining.com/fmc-forward/plan-your-two-days-ppw-new-york-2026)

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