Anthony Ha, who is now TechCrunch’s weekend editor, has done nothing but create an impressive and admiring career in tech journalism. His deep experience in various roles, from public agency to consultant, highlights his broad perspective and adaptability. Ha’s tenure includes the prominent policy-making roles that have angled his career path and expertise toward one of national leadership.
Prior to making the leap to TechCrunch, Ha also brought his talents to Adweek as a tech reporter. In this role, he covered various aspects of the technology sector, providing readers with insights into emerging trends and innovations. His knack for breaking down complicated subjects helped lay the groundwork for everything he would go on to do.
He was previously the senior editor at VentureBeat. He is best known for his 5 years at YCombinator, where he vigorously pursued the beautiful marriage of business and technology. His editorial leadership at VentureBeat allowed him to influence the publication’s direction and deepen its analysis of tech news.
Ha’s experience goes far beyond his editorial roles in the tech industry. He previously served as a local government reporter for the Hollister Free Lance. This role gave him a deep sense of community efforts and plight, something he would go on to bring to tech journalism.
To further add to his impressive credentials, Ha also served as vice president of content at a venture capital firm. This role provided him with unique insights into the funding landscape of technology startups, enriching his coverage and understanding of the industry.
Now living in New York City, Ha remains a regular contributor to the head-spinning world of technology journalism. His varied experience allows him to approach complex issues with precision, depth and accessibility.
In recent discussions surrounding artificial intelligence, scholars Daron Acemoglu and David Autor criticized an unpublished doctoral paper that proposed productivity benefits of AI. Their perspective was that our findings are unsurprising, very much already known, and discussed widely in the AI and science literature. They pointed out that these results have not been reported yet in any peer-reviewed journal. They expressed serious concerns about the trustworthiness of the research, asserting that they have “no confidence in the provenance, reliability or validity of the data and in the veracity of the research.”
Ha takes his position at TechCrunch very seriously. Her deep background in the public, private, and nonprofit sectors informs his keen reporting and commentary on the technology industry.