What's Up with Tech?
What's Up with Tech?

HCLTech’s AI-Native Playbook For Telecom, Media, And Platforms

01 March 2026 27:46 Evan Kirstel

Listen to episode

About this episode

Interested in being a guest? Email us at [email protected]

Ready to move from AI pilots to P&L? We sit down with HCLTech’s Anil Ganjoo to unpack how telecom, media, and technology are converging into an AI-native future where outcomes rule, stacks unify, and partners co-create at speed. The conversation starts with HCLTech’s engineering roots and tracks a bold evolution into an IP-led, platform-driven strategy that spans networks, cloud, edge, data, and silicon—giving operators and media leaders the tools to turn infrastructure into monetizable products.

We dig into the realities of 5G monetization, where enterprise use cases like private 5G, network slicing, fixed wireless access, and edge AI are generating measurable ROI, while consumer ARPU remains a longer play. On the media front, Gen AI is transforming vast content libraries into searchable, reusable, and hyper-personalized experiences that raise engagement and cut churn. Anil explains why AI must be embedded across the entire stack—think AI as the brain, with cloud, networks, edge, and data as the nervous system—to unlock dynamic pricing, predictive maintenance, churn prevention, and planet-scale personalization.

The shift from telco to techco takes center stage as we explore network APIs, platform ecosystems, and product-aligned operating models. We get practical on commercial innovation too: outcome-based engagements, gain-share structures, and transparent KPIs tied to revenue growth, cost-to-serve reduction, billing accuracy, and NPS. Partnerships power the journey, from co-built AI factories with Nvidia to agentic solutions with Microsoft and Google Cloud, all industrialized into OSS/BSS and modern network architectures to scale beyond proofs of concept.

We close with sharp predictions for what will accelerate next: agentic AI in core operations, autonomous and AI-native networks, edge AI plus enterprise 5G crossing the chasm, custom silicon for real-time inference, and services-as-software powered by AI agents. Headed to MWC Barcelona? Come see the demos and strategy sessions at Hall 2. 

PodMatch
PodMatch Automatically Matches Ideal Podcast Guests and Hosts For Interviews

Support the show

More at https://linktr.ee/EvanKirstel

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 What's Up with Tech? . All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.