
What happened
Vikram Taneja, head of AT&T Ventures, argues that AI tools have lowered the barrier to building working software so dramatically that the traditional measure of seed-stage technical risk — whether a team can execute — is becoming less relevant. Instead, the critical question has shifted to defensibility: whether a company's technology can compound and withstand competition from frontier AI labs moving into application layers.
Why it matters
As institutional venture firms rush into seed rounds to secure larger stakes earlier, and founders can prototype production-ready applications faster, distribution and go-to-market strategy now arise at seed instead of later in funding cycles. For corporate venture arms like AT&T Ventures, this reshapes competition — pure capital is no longer enough. The body suggests AT&T's advantage lies in offering proof-of-concept partnerships and real-world technical validation from a major network operator, which financial VCs structurally cannot provide.
What to watch
AT&T Ventures is actively seeking seed-stage companies with proprietary data, embedded domain expertise that general-purpose AI lacks, or highly specialized niche markets that are too targeted for frontier labs to pursue directly. The firm is running ongoing proof-of-concepts with portfolio companies in areas such as AI-RAN (artificial intelligence for radio access networks), connected infrastructure, and computer vision.
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