The Software Handoff
1. Key Themes
Technology Waves Contain Predictable "Handoff" Cycles
Each major technology era contains smaller, recognizable shakeout patterns that redraw the competitive landscape.
"Inside every one of those waves are smaller waves. We call them handoffs, or shakeouts, and they tend to follow a recognizable pattern: new IPOs start appearing, more private companies form, drawdowns get sharper, and the whole market turns more volatile."
AI Labs Are Outgrowing Incumbents on the Most Important Metric
Quarterly net new ARR from AI labs is now exceeding that of both hyperscalers and the entire public software universe — a classic early-handoff signal.
"If you look at quarterly net new ARR, the AI labs are starting to out-add both the hyperscalers and the entire public software universe. When a new set of entrants is putting on more revenue than the incumbents that have defined the category for years, that is usually what the early stage of a handoff looks like."
Leadership Boards Get Redrawn — Not Reshuffled
Historical transitions suggest most current leaders will not survive to lead the next era.
"History suggests the leadership board gets redrawn each time this happens. When software moved from the enterprise era into SaaS, only a handful of the largest names carried over into the next list."
2. Contrarian Perspectives
Today's Software Incumbents Are Unlikely to Lead the AI Era
The consensus view treats large SaaS and cloud companies as the natural winners of AI adoption. Coatue's historical framing challenges this directly — most current leaders won't carry over.
"The companies now leading the AI era, OpenAI and Anthropic among them, did not even exist during the last shakeout."
Market Volatility Is a Feature of Handoffs, Not a Warning Sign
Conventional investor instinct reads rising volatility and drawdowns as risk signals. Coatue frames them as structural indicators that a handoff is underway — meaning volatility may actually be a entry signal, not an exit one.
"Drawdowns get sharper, and the whole market turns more volatile. By the time it settles, the companies sitting on top are rarely the same ones that led going in."
3. Companies Identified
| Company | Description | Why Mentioned | Quote |
|---|---|---|---|
| OpenAI | Leading AI lab | Cited as a new-era leader that didn't exist in the prior shakeout, illustrating how completely leadership boards get redrawn | "The companies now leading the AI era, OpenAI and Anthropic among them, did not even exist during the last shakeout." |
| Anthropic | AI safety-focused AI lab | Same as above — co-cited with OpenAI as emblematic of new entrants displacing incumbents | "The companies now leading the AI era, OpenAI and Anthropic among them, did not even exist during the last shakeout." |
4. People Identified
| Person | Description | Why Mentioned | Quote |
|---|---|---|---|
| Max (last name not provided) | Coatue commentator/analyst | Referenced as the presenter of the accompanying video elaborating on the "Software Handoff" thesis | "For more on this C:\Take, watch Max." |
5. Operating Insights
Watch Net New ARR as the Leading Indicator of a Platform Shift
For operators benchmarking competitive threats, quarterly net new ARR — not total ARR or growth rate — is the metric that flags when new entrants are displacing incumbents in real time.
"If you look at quarterly net new ARR, the AI labs are starting to out-add both the hyperscalers and the entire public software universe."
Assume the Leadership Board Resets, Not Rotates
Operators and founders building on top of existing platforms should stress-test the assumption that today's infrastructure winners persist. Historical precedent says they mostly don't.
"Only a handful of the largest names carried over into the next list."
6. Overlooked Insights
Hyperscalers Are Being Outpaced Too — Not Just Legacy Software
The framing often pits AI against SaaS, but Coatue explicitly includes hyperscalers (AWS, Azure, GCP) in the cohort being out-grown. This is a more radical claim than it first appears.
"The AI labs are starting to out-add both the hyperscalers and the entire public software universe."
The Handoff Pattern Includes a Private Company Formation Surge
Buried in the pattern description is the signal that private company formation accelerates during handoffs — directly actionable for early-stage investors tracking deal flow as a leading indicator.
"New IPOs start appearing, more private companies form, drawdowns get sharper, and the whole market turns more volatile."