惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

爱范儿
爱范儿
腾讯CDC
博客园 - 司徒正美
A
About on SuperTechFans
H
Help Net Security
J
Java Code Geeks
C
Check Point Blog
B
Blog RSS Feed
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
MongoDB | Blog
MongoDB | Blog
U
Unit 42
Hugging Face - Blog
Hugging Face - Blog
Last Week in AI
Last Week in AI
MyScale Blog
MyScale Blog
V
Visual Studio Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
I
InfoQ
H
Hackread – Cybersecurity News, Data Breaches, AI and More
F
Fortinet All Blogs
博客园 - 聂微东
酷 壳 – CoolShell
酷 壳 – CoolShell
GbyAI
GbyAI
博客园 - 【当耐特】
雷峰网
雷峰网

Fortune | FORTUNE

One man can kill Bill Ackman’s $64 billion bid for Universal Music Group—and no one knows what he’ll do | Fortune Poppi’s cofounder pitched her startup on Shark Tank while 9 months pregnant and landed a $400,000 deal—now it's worth $2 billion | Fortune Teen boys are choosing AI girlfriends over real ones for 'maximum control, zero rejection'—experts say it could make them unemployable | Fortune A United American merger is by no means impossible given the president 'loves big deals' | Fortune Reed Hastings’s planned exit from $455 billion Netflix ‘had nothing to do with’ the failed deal for Warner Bros., says Ted Sarandos | Fortune Meet Joe McCann: The high-flying crypto trader held in Tanzania after sudden death of his influencer fiancée Ashly Robinson | Fortune Gen Z is carving a different path in the housing market by doing it alone | Fortune U.S. Catholic leaders criticize Trump for ‘disparaging words’ about the pope as Vatican clash risks alienating Catholic voters | Fortune China has ‘nearly erased’ America’s lead in AI—and the flow of tech experts moving to the U.S. is slowing to a trickle, Stanford report says | Fortune Self-made millionaire behind $5 billion Skims Emma Grede says it all began with a cold call to Kris Jenner: Emma Grede—the self-made millionaire behind the $5 billion Skims empire—says it all began with an audacious cold call to Kris Jenner: ‘The difference between me and someone else is, I made it happen’ | Fortune Americans have never been this gloomy about the economy. Wall Street has never cashed in harder | Fortune ‘The college grading system [is] almost meaningless’: People see the Ivy League as an easy A and with flawed admissions standards | Fortune The CEO of $8.5 billion Japanese car giant Nissan plays the drums in a band and hits the tennis courts to destress from the top job | Fortune New York governor's take on a millionaires tax: fancy pied-à-terre second apartments worth over $5 million | Fortune Pope Leo XIV: A ‘handful of tyrants’ are ravaging earth with war and exploitation | Fortune Trump has no plan to cut the $39 trillion national debt, but he does want to cut childcare. His budget director is scrambling to clarify | Fortune China's economy grows 5% in first quarter, surprising economists to the upside | Fortune Everyone was wondering what Trump wanted more: Warsh smoothly seated at the Fed, or for Powell to pay. We have our answer | Fortune Palantir exec: the biggest mistake retailers are making with AI? Trying to do it all with one agent | Fortune American YouTuber who calls himself a 'troll' sentenced to 6 months in Korean prison for literally dancing on wartime graves | Fortune BBC plans to cut up to 2,000 jobs to save 10% of annual budget | Fortune Canva debuts a new suite of agentic tools, as the design app quietly becomes one of the world’s most used AI services | Fortune Moody's CEO: AI has a trust problem – better models won’t fix it | Fortune Top New York surgeon: Americans have better data for choosing restaurants than surgeons. That has to change | Fortune The Iran war’s fertilizer shock is hammering American farmers, and 70% can’t afford what they need for this year’s growing season | Fortune Education experts to Mamdani: Why are you foisting AI on our kids? | Fortune This CEO pirated video games as a teen and became a hacker for the Air Force. Now he’s built a $3 billion cyber firm | Fortune Teacher, blame thyself: Yale report savages Ivy League schools for destroying American trust in higher education | Fortune Fed chair nominee Kevin Warsh is worth more than $100 million and has stakes in SpaceX and Polymarket | Fortune From wool sneakers to GPUs: Allbirds’ desperate AI pivot and 600% stock surge, explained | Fortune
I worked with Steve Jobs at Apple, where every OS update ...
Matt Rogers · 2026-05-30 · via Fortune | FORTUNE

Apple famously rendered scores of startups and third-party tools obsolete with nearly every OS update since the mid-2000s. “Sherlocking” regularly kicked promising companies to the curb by effectively erasing their reason to exist — in many cases, by delivering nearly identical features and functionality.

I saw it firsthand when I worked on the iPhone, iPod, and iPad under Steve Jobs. Every product launch and OS upgrade generated excitement for users and existential fear for founders. Founding teams spent years building capabilities that Apple could absorb into the operating system overnight. Life’s work became dead on arrival.

Sherlocked, but Not Forgotten

There are several companies that folded worth mentioning, but here are three that stand out to me:

Tile kept pace with AirTag for a while because even though Apple made a slightly nicer tracker, Tile had years of market leadership, retail distribution, meaningful hardware revenue, and a defensible head start. But the balance did eventually tip toward Apple when they launched AirTag with deep integration into the Find My network and the U1 chip. Suddenly, Tile no longer had access to the same system-level advantages. It lost access to the oxygen that mattered: defaults, permissions, hardware integration, and distribution. The company was eventually acquired by Life360 in 2021 for approximately $205 million — a fraction of its peak valuation. 

Pebble invented the modern smartwatch category years before the Apple Watch hit shelves. The company built a passionate developer ecosystem and sold millions of devices. But Apple reserved the deepest iPhone integrations — notifications, payments, health data, system hooks — for itself. Pebble wasn’t outcompeted feature-by-feature. It was boxed out structurally.

Even f.lux, which pioneered blue-light reduction software to help us sleep better at night, learned the same lesson. Apple initially rejected its iOS implementation for using private APIs. It wasn’t until Apple launched Night Shift directly inside iOS itself that f.lux experienced existential competition.

Other tech giants, like Google with search and Microsoft with Office, also shuttered numerous companies with authority and efficiency. But they weren’t destroying startups simply because they built better products. They entered the market with viable alternatives, consistently improved those products, and then maintained control over the platforms.

The key thing for founders facing similarly harrowing dynamics to remember: when a platform decides to compete, it’s impossible to win with price alone. Survival requires understanding how platforms collapse distribution, bundle features into defaults, and remove the dependencies third parties rely on. 

Survived, Thrived, and Still Alive

Recent history also provides examples of companies that survived platform attacks by evolving beyond standalone consumer features.

Dropbox should have disappeared the moment Apple and Google bundled cloud storage directly into their operating systems. Instead, it became a multi-billion-dollar enterprise software company because it expanded beyond consumer sync into collaboration, team workflows, e-signatures, and cross-platform infrastructure.

Spotify survived Apple Music despite Apple owning the operating system, the App Store, the hardware ecosystem, and the distribution advantage. In addition to investing in brand and artist partnerships, Spotify built network effects around playlists, discovery, creators, podcasts, and social behavior that could not simply be copied into existence overnight. Its value came from the ecosystem surrounding the platform, not merely the app itself.

1Password faced extinction once Apple and Google bundled password management directly into their platforms for free. Instead of competing feature-for-feature at the consumer layer, it moved upmarket into enterprise identity management, developer tooling, secrets infrastructure, and organizational workflows. The consumer feature became the wedge. The enterprise system became the business.

As we saw with Dropbox and 1Password in the last cycle, offerings from smaller companies that deeply integrate with customer architecture and offer tailored features can become the wedge in enterprise AI.

AI Is Firmly in Its Sherlocking Era. Be Aware.

Every new Claude release, ChatGPT capability expansion, or workflow agent launch creates excitement among users and customers. It should also unsettle founders.

Products historically most vulnerable to Sherlocking shared a common trait: they were single-purpose features built on platforms they did not own — small enough to bundle, and lacking network effects, alternative distribution, or deep operational integration.

AI-native companies need to operate as more than model wrappers or generalized copilots. To compete with foundation models in any given vertical, startups must become operationally embedded inside enterprises, law firms, financial institutions, and medical facilities. 

The best enterprise AI companies will integrate deeply into internal operations spanning approvals, compliance systems, procurement flows, analytics pipelines, reporting structures, and institutional knowledge. Once that happens, ripping them out becomes painful.

This matters because the frontier labs are optimized for horizontal scale, not deep operational integration. OpenAI, Anthropic, and Google can build extraordinary foundation models. But they cannot realistically provide white-glove implementation and workflow redesign for every logistics provider, hospital system, insurer, law firm, or manufacturer in the world.

That asymmetry creates enormous opportunities for startups facing fight-or-flight moments. Margins and automation capture attention and investment. But customer integration and high-touch service make up the moat.

A Parting Word to My Fellow Founders

The next generation of great AI companies can’t beat hyperscalers and tech giants with endless budgets on price. They definitely can’t win by competing head-on with OpenAI or Anthropic on generalized intelligence. However, it’s possible to thrive — and grow — if you can accomplish what giant platforms historically struggle to do: become indispensable to the operation of a customer’s business.

We’re in the early days of AI-for-everything. As in previous cycles, scores of young companies will be Sherlocked. The model I’ve used to build and scale Nest and now Mill — going deep on vertical integration — works. Founders interested in longevity should build and forward-deploy teams vertically around specific offerings or products. Hardware, software, and product design should all work on something together. The hyperscalers are delivering world-class innovation on a nearly daily basis. But they’re also clunky and siloed. If you want to survive and grow in the face of fierce competition, make sure you never join that group.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.