SED News: Apple’s AI Problem, The Real Business Model of AI, and Token Cost Reckoning

SED News: Apple’s AI Problem, The Real Business Model of AI, and Token Cost Reckoning

Author: Software Engineering Daily June 9, 2026 Duration: 51:09

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry.

In this episode, they cover Apple‘s uncertain path beyond the iPhone. They also discuss Google‘s agentic pivot at Google I/O, a surge in DuckDuckGo traffic following Google’s default switch to AI mode, and payroll platform Remote surpassing 300 million in ARR with flat headcount.

Gregor and Sean also dig into why consumer subscriptions don’t seem to correspond to actual costs, how enterprise is quietly subsidizing the AI economy, why the true moat has shifted from model quality to context management and agentic harness, and what the coming wave of token cost optimization might look like as companies start scrutinizing their AI bills.

Finally, they highlight standout threads from Hacker News including Doom running on a travel router touchscreen, a viral post asking whether AI productivity gains should translate to a day off, YouTube‘s move to automatically label AI-generated content, and SimCity 3000 running in 4K.

Gregor Vand is a security-focused technologist, having previously been a CTO across cybersecurity, cyber insurance and general software engineering companies. He is based in Singapore and can be found via his profile at vand.hk or on LinkedIn.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post SED News: Apple’s AI Problem, The Real Business Model of AI, and Token Cost Reckoning appeared first on Software Engineering Daily.


Dive into a curated collection from the vast library of Software Engineering Daily with Greatest Hits Archives-Software Engineering Daily. This podcast isn't about new trends or breaking news; instead, it serves as a thoughtfully assembled replay of the most impactful and enduring conversations from the show's history. Each episode selected for this archive represents a foundational discussion, a pivotal interview, or a deep exploration that has resonated deeply with the technology community over the years. You'll hear veteran engineers, pioneering founders, and insightful researchers break down complex topics-from distributed systems and database architecture to the human elements of building effective teams and sustainable engineering cultures. The archive format allows listeners to experience the essential building blocks of modern software thought leadership, all in one dedicated feed. Whether you're discovering these classic conversations for the first time or revisiting them with fresh perspective, this podcast provides a timeless resource. It cuts through the noise of the daily tech cycle to deliver substantive content that remains relevant long after its original release, offering a masterclass in the principles and practices that define our industry.
Author: Language: en-us Episodes: 50

Software Engineering Daily
Podcast Episodes
Scaling Agent Workloads at Vercel [not-audio_url] [/not-audio_url]

Duration: 51:25
Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arri…
Inside Google’s Database Infrastructure for the AI Era [not-audio_url] [/not-audio_url]

Duration: 1:18:26
Historically, databases were responsible for storing data and returning exact results in response to queries. However, AI is now bending that contract in a new direction. Applications increasingly expect structured and u…
A Rust Framework to Simplify Distributed Systems [not-audio_url] [/not-audio_url]

Duration: 50:31
A Rust Framework to Simplify Distributed Systems Building software that runs across many machines is notoriously difficult. Developers have to grapple with problems such as race conditions, partial failures, and message…
Moving Beyond RAG with Precomputed Context [not-audio_url] [/not-audio_url]

Duration: 55:48
Retrieval has become one of the central problems in building useful AI systems. The standard approach to grounding a model in one’s own data has been retrieval augmented generation, or RAG, where an agent searches a vect…
The Death of Online Anonymity [not-audio_url] [/not-audio_url]

Duration: 52:42
Age verification is reshaping how people access the internet. An ever-growing patchwork of laws can now require government IDs, facial age estimation, or behavioral inference before you can enter digital spaces. Discord,…
TypeScript 7 and What Comes Next [not-audio_url] [/not-audio_url]

Duration: 57:15
TypeScript is a programming language that builds on JavaScript by adding a system of types. Those types let developers describe the shape of their data and catch mistakes before code ever runs, while also powering the au…
The Gap Between AI Spending and AI Value [not-audio_url] [/not-audio_url]

Duration: 54:42
It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those…
AI and the New Global Security Landscape [not-audio_url] [/not-audio_url]

Duration: 1:12:32
The conversation about AI often focuses on software, automation, and the race between attackers and defenders in code. However, some of the most consequential risks lie further afield, in domains where a mistake is measu…
How LLMs Are Reshaping Recommendation Systems [not-audio_url] [/not-audio_url]

Duration: 47:51
News feeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently. As LLMs have matured, they have opened up a fundamentally different approach, where a sy…