+0.0
net board stance
what this means
59.55
-4.4% · close 2026-09-08
+4% / +13% / -14%
1m / 3m / 12m
-91%
vs SPY since 2023-03-31
45%
of 52w range · -30.1% off high
—
hit rate as primary
Where we stand — 0 live ideas
No active idea holds this ticker. Anything below is history.
Where the winds are blowing
NET BOARD STANCE, LAST 45 EPISODES —
rising = the besties are building this position, falling = abandoning it. Replayed from
score_events; an idea counts from birth until its window closes.
PRICE VS SPY OVER THE SAME WINDOW, % — did the
talk lead the tape or follow it?
Who's pushing which way
each voice's net push ON THIS TICKER — their most recent stance per idea × the idea's direction × strength, so supporting a bearish idea pushes down. Not conviction (that lives on the idea); this is direction of travel per person. what w= means
Track record on CTSH
No closed window has used this ticker as its primary play, so there is no scored record here yet. Adjacent plays are listed but never scored.
| idea | call | play | verdict | R | α | closed |
|---|---|---|---|---|---|---|
| 📈 Code-for-hire outsourcers displace white-collar labor first | ▲ LONG | adjacent | PARTIAL | +23.1% | -6.5 | 2024-03-31 |
The tape — what was actually said
every capture on any idea holding CTSH, newest first · quotes verbatim, timestamps deep-link into the episode
So if you look at everybody else, for example, here's Teleperformance, which is a French company that runs call centers. ... They lost $1.7 billion of market cap when that tweak went up, about 20% of their market cap. So this is the real practical implication. ... Because at the limit, if every single company is able to implement something that is as economically efficient as what Klarna did, Teleperformance doesn't exist and there's $10 billion and $335,000 employees that will not have a job.
this paper essentially now allows you to traverse a code base, understand it, generate these unit tests with high accuracy
But I do think that there's a radical realization underway that a lot of businesses that are dependent on services that might be replaced by AI don't necessarily have the longevity today.
By the way, we said that the first organizations to use this, like the Canary and the Coal Mine would be the consulting organizations. And today when Harvey got announced, one of the things that right on the heels of that, PricewaterhouseCoopers announced like a billion dollar investment into AI.
But they were basically able to let go a third of their workforce by moving a bunch of work to models.
But what I would tell you, Jason, to answer the white collar question is I think there are a handful of companies you need to look at exclusively because they will be the first ones to really figure out how to displace human labor. And that is TCS, so Tata Consulting Services, Accenture, Cognizant.