Patrick Kulp

Patrick Kulp is an emerging tech reporter for Adweek. He covers creative innovation, artificial intelligence and the future of 5G, which culminated in a cover story on AT&T and Verizon's strategic plans for 5G. Patrick holds degrees in economics and political Science from UC Santa Barbara. He previously worked as a business Reporter for Mashable.

Super Bowl Stadium Will Serve Beer in 50,000 Recyclable Aluminum Cups

It's part of a broader push to replace single-use plastics in concessions nationwide.

Why Advertising Icon PJ Pereira Wrote a Novel About Kung Fu and AI

Already a bestselling author in Brazil, he's hoping to make his English-language debut.

New Mexico’s Data Privacy Efforts Stall, but There’s an Appetite to Pass Legislation

The state legislature has killed a bill that would've replicated CCPA.

Wix Actually Recorded an Ad Written by Adweek’s AI-Powered Super Bowl Bot

The website builder brought the bot's clunky copy to life, though it's still a bit out there.

Meet Adweek’s @SuperBowlBot, an AI That Writes Surreal Ad Pitches

We trained the bot on thousands of real spots, then let it loose. And yes, it's eerily apocalyptic.

2 Years Ago, Blockchain Was Hyped as a World Changer. So What Happened?

With its transformative promises still unfulfilled, blockchain fatigue is spreading through the business world.

6 Predictions for the Future of Artificial Intelligence in 2020

Natural language and generative AI hold promise, but worries about limitations and ethics also abound.

This Startup Wants to Give Everyone an Artificially Intelligent Version of Themselves

The AI Foundation is kicking off its unusual project with a digital Deepak Chopra.

Adweek’s 2019 Podcast of the Year Is Kara Swisher’s Recode Decode

The show has transcended tech to become a premier destination for insightful interviews.

Enterprise Companies Are Trying to Automate the Process of Making AI

AutoML usually refers specifically to technology that automates certain setup processes—namely, selecting a particular framework and starting parameters to best fit a given dataset—and tasks that would otherwise fall to data scientists.