I speak with investors, analysts and research teams who need a practical read on where AI is genuinely changing the creative industry and where the story is running ahead of reality. That includes the tools, companies, workflows and business models across advertising, design, CGI, 3D, film, post-production, software, search, marketing and content production.
27 years in commercial creative production, 2.5 years in AI research at Meta, current hands-on work with AI systems, and direct experience with many of the people and teams building and using this technology.
A new model can look extraordinary and still have no clear place in a paid workflow. Another tool can look almost boring and quietly remove days of work. I help separate the two by looking at the technology through the industry it is actually entering.
I map the claim onto the real workflow: who does the work, which software and skills matter, what clients pay for, and what this technology could realistically remove, compress or change.
Some breakthroughs change behavior. Others produce a great demo and little else. I look at whether the capability solves a repeated problem, survives real production pressure and gives professionals a reason to switch.
I compare the old workflow with the new one to see what disappears, what gets faster, which roles change, what still needs specialist judgment and where the cost simply moves.
I look beyond image and video to agents, 3D and world models, CAD, coding, editing, design, search, advertising, personalization, asset management and the software tying those systems together.
Bring the company, product, announcement, technology or industry question. I will put it against the way the business actually works and identify the assumptions that matter.
Bring the company, product, technology, announcement, market idea or research question. It does not need to be dressed up in investment language.
I compare the claim with the real workflow, the software people already use, what professionals need before they switch, what incumbents can absorb, who still needs to do the work and where the economics actually change.
You should come away knowing what looks real, what looks early, what looks replaceable, what could become important and which assumptions deserve more scrutiny.
A lot of AI research comes down to distinguishing something technically impressive from something that can really alter behavior, budgets or an established business.
I separate what the technology can produce once from what professionals can control, revise and trust every day under deadlines and client pressure.
I look at whether the product owns something difficult to reproduce or whether the same capability is likely to be absorbed by software, platforms or models people already use.
I break the workflow apart to see which steps get cheaper, which disappear, which remain human and which new costs appear in supervision, cleanup, approval and delivery.
Some systems can alter professional behavior now. Others still need better control, infrastructure, integration or trust. I help separate near-term change from a longer speculative bet.
I care less about what AI can do once than what it changes every day.
I watch what moves from demo to daily use: tools professionals can control, revise and trust; features established platforms can absorb; systems that remove handoffs or specialist labor; and new categories that may become businesses in their own right. The important question is not whether AI can do something once. It is whether it changes behavior, costs, staffing or the software people depend on.
My value is helping you tell which is which.
Sometimes you need one call with somebody who knows the territory. Sometimes you are following a category for months. The format can stay simple and match the question you are trying to answer.
Send the company, product, technology, market shift or question in plain English. If it touches AI, creative technology or the industry around them, I can tell you quickly whether I am useful to the research.