Skip to main content

Story of Aaron Spelling's Love of Television

Hollywood Reporter tells the story -- In his prime, Aaron Spelling defined the concept of the television superproducer. In his life, Spelling's rags-to-riches success story was the embodiment of the American dream.

The prolific writer-producer, whose roots in television stretched from 1950s Westerns to the upcoming season with "7th Heaven," died at his Holmby Hills mansion near Beverly Hills of complications from a stroke he suffered. He was 83.

Of his extraordinary run with more than 50 television series and 140 television movies, friends and colleagues often said that what was most striking about Spelling was his insatiable appetite for more. Long after he earned his entry in the Guinness Book of World Records for logging the most television producing credits, he never stopped getting excited when he sold a pilot to a network, found a good script from a young writer or discovered a future star in a cattle-call casting session. Into his final months, the impish, pipe-smoking producer still loved the game.

"He just loves television, and he loves what he does. He never looks down on the medium or the people who watch it," Leonard Goldberg, a longtime Spelling friend and former producing partner, said of Spelling in 2003. "Aaron will call me up and say, 'I just got a development deal at NBC,' and you'd think he needed it to pay his rent."

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...