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The
electric-vehicle maker (EV) started production of the
supercomputer used to train artificial intelligence (AI) models
for self-driving cars in July and plans to spend more than $1
billion on Dojo through next year.
Dojo can open up new addressable markets that "extend well
beyond selling vehicles at a fixed price," Morgan Stanley
analysts, led by Adam Jonas, said in a note on Sunday.
"If Dojo can help make cars 'see' and 'react,' what other
markets could open up? Think of any device at the edge with a
camera that makes real-time decisions based on its visual
field."
The Wall Street brokerage upgraded its recommendation on Tesla's
stock to "Overweight" from "Equal-weight" and made it their "top
pick," replacing Ferrari's U.S.-listed shares.
Tesla shares were up nearly 5.7% at $262.63 in premarket
trading.
Morgan Stanley raised its 12-18 month target on Tesla's shares
by 60% to $400 - the highest among Wall Street brokerages as per
LSEG data - which, it estimated, would give the EV maker a
market capitalization of about $1.39 trillion.
That compares with its current market value of about $789
billion, after the stock closed at $248.5 on Friday.
Jonas expects Dojo to drive the most value in software and
services.
Morgan Stanley raised its revenue estimate from Tesla's network
services business to $335 billion in 2040, from $157 billion
earlier.
Jonas expects the unit to account for more than 60% of Tesla's
core earnings by 2040, nearly doubling from 2030.
"This increase is largely driven by the emerging opportunity we
see in third-party fleet licensing, increased ARPU (average
monthly revenue per user)."
Tesla's 12-month forward price-to-earnings ratio of 57.9 is well
ahead of U.S. legacy automakers Ford at 6.31 and General Motors
at 4.56.
(Reporting by Roshan Abraham and Susan Mathew in Bengaluru,
additional reporting by Medha Singh; Editing by Savio D'Souza,
Sherry Jacob-Phillips and Rashmi Aich)
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