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Your file is ready

the new

year is starting so you're

probably seeing a lot of videos on the

top stocks for 2024 but they're mostly

filled with random companies or

cherry-picked Price charts this video is

a little different every stock on my

list works together so that I'm holding

all the winners in a few huge markets

that are growing fast thanks to AI which

is the best way to get rich without

getting lucky your time is valuable so

let's get right into it first things

first I'm not here to keep you hostage

here's the full list of stocks that I'll

be covering and there are times stamp so

that you can jump to different sections

but let me quickly point out a few

things before you do I'm not a financial

adviser my background is an electrical

engineering and data science and I have

about 10 years of Industry experience

using AI to solve real world problems

that's why every stock on this list

involves Ai and I'm sharing my research

for educational purposes only this isn't

supposed to be the ultimate stock list

it's more of a solid foundation for my

portfolio in 2024 and Beyond if I want

to buy more great companies like met

platforms or Tesla stock down the road I

will and I'll explain why I didn't put

them on the list in a minute also I only

buy stocks when they drop below my price

targets research tells me what to buy

but price targets tell me when so if you

want to see those I'll leave a survey

Link in the description below for you it

only takes about 20 seconds and your

responses help me understand how to add

the most value and finally there's a lot

of ground to cover so I'll keep

everything at a pretty high level my

entire Channel focuses on the science

behind the stocks so if there's a

specific company that interests you you

can probably find a video where I cover

it in more detail with all that out of

the way let's dive into the list in my

opinion the foundation of every good

long-term portfolio starts with a fund

the advice that I always hear is to put

a little money in the market every month

which usually means the S&P 500 the S&P

500 Index is a basket of stocks from the

500 biggest public companies in the

United States and the bigger the company

the more of the basket that stock takes

up but 500 companies is a lot so the S&P

grows slow and steady even when the

biggest companies are ripping for

example the top five companies in the

index are Apple Microsoft Amazon Nvidia

and Google all five of these companies

went up by more than 50% this past year

and Nvidia actually went up by almost

250% but the S&P went up by just

25% on the other hand the NASDAQ 100

index went up by 55% the NASDAQ has

three big advantages over the S&P in my

opinion first it tracks 100 companies

instead of 500 100 is still a lot of

diversification but not so much that the

index can't make big moves second it

doesn't hold companies from the

financial sector like commercial or

investment Banks as a result it holds

more Tech focused companies that can

benefit from this massive AI boom and

third the NASDAQ 100 can hold non- us

companies like asml a company that's

based in the Netherlands that makes the

massive machines that chip makers like

Intel Samsung and tsmc buy to make the

most advanced chips on the planet those

are just some of the reasons that the

NASDAQ 100 almost doubled the gains of

the S&P 500 over the last 5 years and

why that performance Gap could get even

bigger as AI keeps stacking advantages

for its early adopters the trade-off for

this performance is more volatility but

even that's a good thing for long-term

investors since higher highs mean better

returns and lower lows mean bigger

discounts on the best run compan

companes on the planet companies like

apple Microsoft Amazon broadcom meta

platforms Tesla Nvidia and Google which

together account for over 40% of the

NASDAQ 100 by weight that's why I didn't

include meta platforms or Tesla on my

list they're already near the top of

this fund instead I'm adding even more

Microsoft Google and Amazon because they

own a whopping 65% of the global cloud

services Market combined this is what I

mean about owning all the winners in a

given Market no matter who wins I win no

luck needed and all three of these

companies are investing billions of

dollars to build the infrastructure for

the world's Advanced AI workloads as

well but there's another kind of

infrastructure investment that you

should know about you can invest in

solar projects to help small businesses

and entire communities across the US

reduce their Reliance on the grid and

potentially earn up to 10% per year with

climatized the sponsor of this video

here's how it works every month

climatize uses their extensive network

of solar installers and developers to

find solar projects looking to raise

Capital then they diligence those

projects and the very best ones are

onboarded onto their platform and open

to investment for example lightup Rural

America is focused on giving communities

in North Carolina and Tennessee access

to more reliable power they're

leveraging the inflation reduction act

on multiple solar and energy storage

installs and they're looking to raise

$310,000 this offering has a 2-year term

with a 10 % expected annual rate of

return and investors have already

committed more than half the goal for

this project and best of all the minimum

investment on climatized is just $10 and

there are no investor fees so if you

want to invest in solar projects across

the US and earn up to 10% annually head

over to climatize doar slts yoou or

click my link in the description below

and use my code TS y you1 to invest your

first $5 on them what a cool opportunity

so Microsoft Google and Amazon own a

combined 2third of the global market for

cloud services and millions of

businesses pay them each year to do

things like store and secure their

company's data host mobile and web

applications use their Computing

clusters and access a wide variety of AI

and machine learning tools here's why I

think these cloud service providers

won't get disrupted anytime soon except

maybe by each other first it would cost

a business way more to build even a tiny

fraction of these services for

themselves instead of just using a cloud

CL service provider and second these

Services run on top of massive Global

networks of data centers and that

Hardware infrastructure is also

incredibly expensive to research develop

deploy maintain and upgrade over time a

recent study showed that Amazon has

spent over $100 billion on AWS from when

it was launched to the end of 2021

around half of which was spent in Just 2

years let me put it like this if Amazon

web services was its own country today

it would have around the 50th biggest

National budget in the world that's not

so easy to compete with is it and that's

just AWS Microsoft and Google are

spending billions on Azure and Google

Cloud as well and who are they spending

that money with well the next two

companies on the list are Nvidia and AMD

which dominate the market for data

center gpus also called accelerators

gpus are currently the main kind of

processor for AI applications like chat

GPT Nvidia currently has a massive 92%

market share for Data Center gpus and

AMD is their only direct competition

with around 4% of the market the reason

I spend so much time researching Nvidia

is to understand how long they can

defend this massive lead the Enterprise

accelerator Market is expected to have a

24% compound annual growth rate for

almost the next decade so even if AMD

never catches Nvidia they're the only

other possible winner and they should at

least grow as the market does now is

also probably a good time to explain the

green and blue checks on my table green

means that a company is a market leader

Microsoft Google and Amazon dominate

cloud services and data centers so they

have green check marks in those columns

Nvidia also has its own set of data

centers and supercomputing services but

they're much less widely used so I gave

Nvidia a blue check on the flip side

Microsoft Google and Amazon all build

their own data center chips but they

don't really compete with nvidias or

amds they actually don't even sell them

to other compan companies instead they

send easier workloads to their own chips

and they use nvidia's and amd's chips to

process the harder ones that's why

Nvidia and AMD have green check marks

for AI chips while the cloud providers

have blue ones and the NASDAQ gets blue

check marks across the board since it

holds at least some companies in every

major Tech Market as you can see these

checks are not an exact science I'm just

trying to show you a lot of high level

information at once and there's a lot

more to each of these companies than I

can cover in a single video all right

here 's a quick bonus stock to consider

Intel has over a 70% market share for

data center CPUs even though AI is

Shifting the world towards gpus CPUs are

still the main kind of data center

processor today Intel's biggest

competitor here is AMD which owns the

other roughly 30% of this Market I

didn't put Intel on my list because it's already near the top of the NASDAQ 100 and it's currently way above my price

Target after going up 50% over the last

2 months anyway between Nvidia and AMD

and the three big cloud service

providers I can own the entire data

center GPU market and not worry about

who's winning at any given time and if I

add Intel into the mix I would own the

entire CPU Market as well so now with

just five or six stocks I'm virtually

guaranteed to be holding the winners of

multiple quickly growing markets no luck

required by the way the global

artificial intelligence Market is

forecasted to 15x over the next 10 years

which is a compound annual growth rate

of almost 37% for the next decade that

means all of the hardware companies and

cloud service providers that I've

covered so far should also grow fast

even if their market shares just stay

the same the third part of the AI Market

is software obviously software includes

a lot of different things so I picked a

couple of example categories just so you

can get the idea the first category that

I picked is cyber security since the

global Cloud security Market is

forecasted to more than 7x in size over

the next decade which is is a growth

rate of over 22% per year and just like

software cyber security includes many

different things like identity and

access management data loss prevention

event management disaster recovery and a lot more than what's shown on this one

chart I'm also not a cyber security

expert but I do think this Market will

grow even faster than predicted because

as AI keeps evolving there will be way

more cyber threats in general new kinds

of malware and hacking techniques more

devices apps and data that needs

securing and more rules and regulation

on what counts as secure in the first

place so I looked for cyber security

companies that have high earnings growth

and are Market leaders specifically in

identity and access management and data

loss prevention since those appear to be

the biggest chunks of the global Cloud

security Market that's how I landed on

poo Alto networks and fortunet crowd

strike and zscaler are two other cyber

security companies that are also in the

NASDAQ 100 but I didn't add them to this

list because they both recently had

company insiders selling shares and and

they were either unprofitable or barely

profitable for the most recent quarter

none of that makes them bad companies

but I'm being super picky here since

this list is all about building a solid

foundation for a long-term stock

portfolio and of course Microsoft Google

and Amazon have a wide range of cloud

Security Services as well but they're

not as specialized and they only work

within their own ecosystems that's why

they got blue checks and that brings me

to paler and uipath which are both

Enterprise software companies paler

makes high powered platforms that give

huge Enterprises a real-time view of

their data and help them optimize their

operations paler platforms tend to focus

on high-risk and highly regulated

markets like National Security heavy

Industries medical and international

transport users can even send commands

to assets under their control directly

from within the platform for example a

power company can monitor and rotate a

wind turbine a logistics company can

reroute its trucks and a commander can

retask military units in real time

which just goes to show how much some of

the biggest governments and companies on

the planet trust paler platforms with

their most sensitive data because of

that paler Solutions need to be

incredibly accurate fast and secure

which is a big challenge for most aib

based tools today my other pick here is

uipath a company that makes software

automate work done

by humans uipath uses different kinds of

AI like computer vision and natural

language processing to let people create

pretty robust automations for example

they can use computer vision to find and

push a button on a web page even if that

web Page's layout changes over time or

the robot can crawl through tons of

emails retrieve data and enter it into a

wide variety of other applications or it

can send invoices to large numbers of

customers who need them in completely

different formats these are all

processes that every company has to deal

with so UI paaths Market is pretty

massive I chose both paler and uipath

for a few key reasons first I I have

personal experience with them both I

used paler Foundry for about half a year

and I use uipath in my day-to-day

business so I have a pretty good

understanding of the quality of their

products and who their main competitors

actually are the bad news is that paler

and uipath are both seeing more

competition from Tech giants that are

adding AI to many of their services like

Microsoft and Amazon but the good news

is that those companies are already at

the top of this list so I win no matter

which company ends up on top no lock

requ ired the other reason that I picked

paler and uipath is that they're

flexible and fast as AI keeps evolving

both companies have released new tools

that their customers love for example

paler stood up their artificial

intelligence platform AIP just months

after chat GPT was released and it's now

their most demanded platform and uipath

built a chat GPT integration to securely

extract information from long documents

for use in larger workflows which makes

it way faster and simpler to automate

many different processes and as we enter

the era of AI I think the market will

reward companies that are fast and

flexible which is why it's the last

column on my table whether a company

focuses on one market like cyber

security or it has its hands in every

Market like the tech Giants companies

will need to keep up with the

state-of-the-art or get disrupted by

those who can I know this video is a

little long but I wanted to be thorough

since the whole idea is to build a solid

foundation for a portfolio in 2024 and

Beyond and to me that means focusing on

fast growing markets and finding all the

winners by understanding the science

behind the stocks that's the best way to

get rich without getting lucky so if you

feel I've earned it consider hitting the

like button and subscribing to the

channel that lets me know to put out

more research like this either way

thanks for watching and until next time

this is ticker symbol U my name is Alex

reminding you that the best investment

you can make is in

you

CANCELPLAY NOW
14:53 / 14:53
Getting Rich Without Getting Lucky

Transcript

My Top Stocks for 2024
0:00
the new year is starting so you're
0:01
probably seeing a lot of videos on the
0:03
top stocks for 2024 but they're mostly
0:06
filled with random companies or
0:08
cherry-picked Price charts this video is
0:10
a little different every stock on my
0:12
list works together so that I'm holding
0:14
all the winners in a few huge markets
0:16
that are growing fast thanks to AI which
0:18
is the best way to get rich without
0:21
getting lucky your time is valuable so
0:23
let's get right into it first things
0:25
first I'm not here to keep you hostage
0:27
here's the full list of stocks that I'll
0:28
be covering and there are times stamp so
0:30
that you can jump to different sections
0:32
but let me quickly point out a few
0:33
things before you do I'm not a financial
0:36
adviser my background is an electrical
0:38
engineering and data science and I have
0:40
about 10 years of Industry experience
0:42
using AI to solve real world problems
0:45
that's why every stock on this list
0:46
involves Ai and I'm sharing my research
0:49
for educational purposes only this isn't
0:51
supposed to be the ultimate stock list
0:53
it's more of a solid foundation for my
0:55
portfolio in 2024 and Beyond if I want
0:58
to buy more great companies like met
1:00
platforms or Tesla stock down the road I
1:02
will and I'll explain why I didn't put
1:04
them on the list in a minute also I only
1:06
buy stocks when they drop below my price
1:08
targets research tells me what to buy
1:10
but price targets tell me when so if you
1:13
want to see those I'll leave a survey
1:14
Link in the description below for you it
1:16
only takes about 20 seconds and your
1:18
responses help me understand how to add
1:20
the most value and finally there's a lot
1:23
of ground to cover so I'll keep
1:25
everything at a pretty high level my
1:26
entire Channel focuses on the science
1:28
behind the stocks so if there's a
1:30
specific company that interests you you
1:32
can probably find a video where I cover
1:34
it in more detail with all that out of
1:36
the way let's dive into the list in my
Why QQQ is the Best Fund for 2024
1:39
opinion the foundation of every good
1:41
long-term portfolio starts with a fund
1:43
the advice that I always hear is to put
1:45
a little money in the market every month
1:48
which usually means the S&P 500 the S&P
1:51
500 Index is a basket of stocks from the
1:53
500 biggest public companies in the
1:56
United States and the bigger the company
1:58
the more of the basket that stock takes
2:00
up but 500 companies is a lot so the S&P
2:03
grows slow and steady even when the
2:05
biggest companies are ripping for
2:07
example the top five companies in the
2:09
index are Apple Microsoft Amazon Nvidia
2:12
and Google all five of these companies
2:14
went up by more than 50% this past year
2:17
and Nvidia actually went up by almost
2:20
250% but the S&P went up by just
2:23
25% on the other hand the NASDAQ 100
2:26
index went up by 55% the NASDAQ has
2:30
three big advantages over the S&P in my
2:32
opinion first it tracks 100 companies
2:35
instead of 500 100 is still a lot of
2:38
diversification but not so much that the
2:40
index can't make big moves second it
2:42
doesn't hold companies from the
2:43
financial sector like commercial or
2:45
investment Banks as a result it holds
2:48
more Tech focused companies that can
2:50
benefit from this massive AI boom and
2:52
third the NASDAQ 100 can hold non- us
2:55
companies like asml a company that's
2:57
based in the Netherlands that makes the
2:59
massive machines that chip makers like
3:01
Intel Samsung and tsmc buy to make the
3:04
most advanced chips on the planet those
3:06
are just some of the reasons that the
3:07
NASDAQ 100 almost doubled the gains of
3:09
the S&P 500 over the last 5 years and
3:13
why that performance Gap could get even
3:14
bigger as AI keeps stacking advantages
3:17
for its early adopters the trade-off for
3:19
this performance is more volatility but
3:21
even that's a good thing for long-term
3:23
investors since higher highs mean better
3:25
returns and lower lows mean bigger
3:28
discounts on the best run compan
3:29
companes on the planet companies like
3:31
apple Microsoft Amazon broadcom meta
3:35
platforms Tesla Nvidia and Google which
3:38
together account for over 40% of the
3:40
NASDAQ 100 by weight that's why I didn't
3:43
include meta platforms or Tesla on my
3:45
list they're already near the top of
3:47
this fund instead I'm adding even more
Top Stocks for Cloud Services
3:50
Microsoft Google and Amazon because they
3:52
own a whopping 65% of the global cloud
3:55
services Market combined this is what I
3:58
mean about owning all the winners in a
4:00
given Market no matter who wins I win no
4:03
luck needed and all three of these
4:05
companies are investing billions of
4:07
dollars to build the infrastructure for
4:09
the world's Advanced AI workloads as
4:11
well but there's another kind of
4:12
infrastructure investment that you
4:14
should know about you can invest in
4:16
solar projects to help small businesses
4:18
and entire communities across the US
4:20
reduce their Reliance on the grid and
4:22
potentially earn up to 10% per year with
4:25
climatized the sponsor of this video
4:27
here's how it works every month
4:29
climatize uses their extensive network
4:31
of solar installers and developers to
4:33
find solar projects looking to raise
4:35
Capital then they diligence those
4:37
projects and the very best ones are
4:39
onboarded onto their platform and open
4:41
to investment for example lightup Rural
4:43
America is focused on giving communities
4:45
in North Carolina and Tennessee access
4:48
to more reliable power they're
4:49
leveraging the inflation reduction act
4:51
on multiple solar and energy storage
4:53
installs and they're looking to raise
4:56
$310,000 this offering has a 2-year term
4:58
with a 10 % expected annual rate of
5:01
return and investors have already
5:03
committed more than half the goal for
5:04
this project and best of all the minimum
5:07
investment on climatized is just $10 and
5:09
there are no investor fees so if you
5:12
want to invest in solar projects across
5:13
the US and earn up to 10% annually head
5:16
over to climatize doar slts yoou or
5:20
click my link in the description below
5:22
and use my code TS y you1 to invest your
5:25
first $5 on them what a cool opportunity
5:28
so Microsoft Google and Amazon own a
5:31
combined 2third of the global market for
5:33
cloud services and millions of
5:35
businesses pay them each year to do
5:36
things like store and secure their
5:38
company's data host mobile and web
5:40
applications use their Computing
5:42
clusters and access a wide variety of AI
5:44
and machine learning tools here's why I
5:47
think these cloud service providers
5:48
won't get disrupted anytime soon except
5:51
maybe by each other first it would cost
5:53
a business way more to build even a tiny
5:55
fraction of these services for
5:57
themselves instead of just using a cloud
5:59
CL service provider and second these
6:01
Services run on top of massive Global
6:04
networks of data centers and that
6:06
Hardware infrastructure is also
6:07
incredibly expensive to research develop
6:10
deploy maintain and upgrade over time a
6:14
recent study showed that Amazon has
6:15
spent over $100 billion on AWS from when
6:19
it was launched to the end of 2021
6:21
around half of which was spent in Just 2
6:24
years let me put it like this if Amazon
6:26
web services was its own country today
6:28
it would have around the 50th biggest
6:30
National budget in the world that's not
6:33
so easy to compete with is it and that's
6:35
just AWS Microsoft and Google are
6:38
spending billions on Azure and Google
6:40
Cloud as well and who are they spending
6:42
that money with well the next two
Top Stocks for Generative AI Chips
6:44
companies on the list are Nvidia and AMD
6:47
which dominate the market for data
6:49
center gpus also called accelerators
6:52
gpus are currently the main kind of
6:54
processor for AI applications like chat
6:56
GPT Nvidia currently has a massive 92%
7:00
market share for Data Center gpus and
7:02
AMD is their only direct competition
7:05
with around 4% of the market the reason
7:08
I spend so much time researching Nvidia
7:10
is to understand how long they can
7:11
defend this massive lead the Enterprise
7:14
accelerator Market is expected to have a
7:17
24% compound annual growth rate for
7:19
almost the next decade so even if AMD
7:22
never catches Nvidia they're the only
7:24
other possible winner and they should at
7:26
least grow as the market does now is
7:28
also probably a good time to explain the
7:30
green and blue checks on my table green
7:32
means that a company is a market leader
7:34
Microsoft Google and Amazon dominate
7:37
cloud services and data centers so they
7:39
have green check marks in those columns
7:41
Nvidia also has its own set of data
7:43
centers and supercomputing services but
7:45
they're much less widely used so I gave
7:47
Nvidia a blue check on the flip side
7:50
Microsoft Google and Amazon all build
7:52
their own data center chips but they
7:54
don't really compete with nvidias or
7:56
amds they actually don't even sell them
7:58
to other compan companies instead they
8:00
send easier workloads to their own chips
8:03
and they use nvidia's and amd's chips to
8:05
process the harder ones that's why
8:07
Nvidia and AMD have green check marks
8:09
for AI chips while the cloud providers
8:11
have blue ones and the NASDAQ gets blue
8:13
check marks across the board since it
8:15
holds at least some companies in every
8:17
major Tech Market as you can see these
8:19
checks are not an exact science I'm just
8:21
trying to show you a lot of high level
8:23
information at once and there's a lot
8:25
more to each of these companies than I
8:27
can cover in a single video all right
8:29
here 's a quick bonus stock to consider
8:31
Intel has over a 70% market share for
8:33
data center CPUs even though AI is
8:36
Shifting the world towards gpus CPUs are
8:38
still the main kind of data center
8:40
processor today Intel's biggest
8:42
competitor here is AMD which owns the
8:45
other roughly 30% of this Market I
8:47
didn't put Intel on my list because it's
8:49
already near the top of the NASDAQ 100
8:52
and it's currently way above my price
8:53
Target after going up 50% over the last
8:56
2 months anyway between Nvidia and AMD
8:59
and the three big cloud service
9:01
providers I can own the entire data
9:03
center GPU market and not worry about
9:05
who's winning at any given time and if I
9:08
add Intel into the mix I would own the
9:10
entire CPU Market as well so now with
9:12
just five or six stocks I'm virtually
9:14
guaranteed to be holding the winners of
9:16
multiple quickly growing markets no luck
9:19
required by the way the global
9:21
artificial intelligence Market is
9:23
forecasted to 15x over the next 10 years
9:26
which is a compound annual growth rate
9:28
of almost 37% for the next decade that
9:31
means all of the hardware companies and
9:33
cloud service providers that I've
9:35
covered so far should also grow fast
9:37
even if their market shares just stay
9:39
the same the third part of the AI Market
9:42
is software obviously software includes
9:45
a lot of different things so I picked a
9:47
couple of example categories just so you
9:49
can get the idea the first category that
Top Stocks for Enterprise Software
9:51
I picked is cyber security since the
9:53
global Cloud security Market is
9:55
forecasted to more than 7x in size over
9:57
the next decade which is is a growth
9:59
rate of over 22% per year and just like
10:02
software cyber security includes many
10:04
different things like identity and
10:06
access management data loss prevention
10:09
event management disaster recovery and a
10:11
lot more than what's shown on this one
10:13
chart I'm also not a cyber security
10:16
expert but I do think this Market will
10:18
grow even faster than predicted because
10:20
as AI keeps evolving there will be way
10:22
more cyber threats in general new kinds
10:24
of malware and hacking techniques more
10:26
devices apps and data that needs
10:28
securing and more rules and regulation
10:30
on what counts as secure in the first
10:32
place so I looked for cyber security
10:34
companies that have high earnings growth
10:36
and are Market leaders specifically in
10:38
identity and access management and data
10:40
loss prevention since those appear to be
10:43
the biggest chunks of the global Cloud
10:44
security Market that's how I landed on
10:46
poo Alto networks and fortunet crowd
10:49
strike and zscaler are two other cyber
10:51
security companies that are also in the
10:53
NASDAQ 100 but I didn't add them to this
10:55
list because they both recently had
10:57
company insiders selling shares and and
10:59
they were either unprofitable or barely
11:01
profitable for the most recent quarter
11:03
none of that makes them bad companies
11:05
but I'm being super picky here since
11:07
this list is all about building a solid
11:08
foundation for a long-term stock
11:10
portfolio and of course Microsoft Google
11:13
and Amazon have a wide range of cloud
11:15
Security Services as well but they're
11:17
not as specialized and they only work
11:19
within their own ecosystems that's why
11:21
they got blue checks and that brings me
11:23
to paler and uipath which are both
11:26
Enterprise software companies paler
11:28
makes high powered platforms that give
11:30
huge Enterprises a real-time view of
11:32
their data and help them optimize their
11:34
operations paler platforms tend to focus
11:36
on high-risk and highly regulated
11:38
markets like National Security heavy
11:41
Industries medical and international
11:43
transport users can even send commands
11:45
to assets under their control directly
11:48
from within the platform for example a
11:50
power company can monitor and rotate a
11:52
wind turbine a logistics company can
11:54
reroute its trucks and a commander can
11:56
retask military units in real time
11:59
which just goes to show how much some of
12:01
the biggest governments and companies on
12:03
the planet trust paler platforms with
12:05
their most sensitive data because of
12:07
that paler Solutions need to be
12:09
incredibly accurate fast and secure
12:12
which is a big challenge for most aib
12:13
based tools today my other pick here is
12:16
uipath a company that makes software
12:18
robots to emulate and automate work done
12:21
by humans uipath uses different kinds of
12:23
AI like computer vision and natural
12:25
language processing to let people create
12:27
pretty robust automations for example
12:29
they can use computer vision to find and
12:31
push a button on a web page even if that
12:34
web Page's layout changes over time or
12:36
the robot can crawl through tons of
12:38
emails retrieve data and enter it into a
12:40
wide variety of other applications or it
12:43
can send invoices to large numbers of
12:45
customers who need them in completely
12:47
different formats these are all
12:49
processes that every company has to deal
12:51
with so UI paaths Market is pretty
12:53
massive I chose both paler and uipath
Getting Rich Without Getting Lucky
12:56
for a few key reasons first I I have
12:59
personal experience with them both I
13:01
used paler Foundry for about half a year
13:03
and I use uipath in my day-to-day
13:05
business so I have a pretty good
13:07
understanding of the quality of their
13:08
products and who their main competitors
13:11
actually are the bad news is that paler
13:13
and uipath are both seeing more
13:15
competition from Tech giants that are
13:16
adding AI to many of their services like
13:19
Microsoft and Amazon but the good news
13:21
is that those companies are already at
13:23
the top of this list so I win no matter
13:26
which company ends up on top no lock
13:28
requ ired the other reason that I picked
13:30
paler and uipath is that they're
13:32
flexible and fast as AI keeps evolving
13:35
both companies have released new tools
13:37
that their customers love for example
13:39
paler stood up their artificial
13:40
intelligence platform AIP just months
13:43
after chat GPT was released and it's now
13:46
their most demanded platform and uipath
13:48
built a chat GPT integration to securely
13:51
extract information from long documents
13:53
for use in larger workflows which makes
13:55
it way faster and simpler to automate
13:57
many different processes and as we enter
13:59
the era of AI I think the market will
14:01
reward companies that are fast and
14:03
flexible which is why it's the last
14:05
column on my table whether a company
14:07
focuses on one market like cyber
14:09
security or it has its hands in every
14:11
market like the tech Giants companies
14:13
will need to keep up with the
14:14
state-of-the-art or get disrupted by
14:16
those who can I know this video is a
14:17
little long but I wanted to be thorough
14:19
since the whole idea is to build a solid
14:21
foundation for a portfolio in 2024 and
14:24
Beyond and to me that means focusing on
14:27
fast growing markets and finding all the
14:29
winners by understanding the science
14:31
behind the stocks that's the best way to
14:33
get rich without getting lucky so if you
14:36
feel I've earned it consider hitting the
14:38
like button and subscribing to the
14:39
channel that lets me know to put out
14:41
more research like this either way
14:43
thanks for watching and until next time
14:45
this is ticker symbol U my name is Alex
14:47
reminding you that the best investment
14:50
you can make is in
14:52
you
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Top 10 Stocks to Get Rich in 2024 (Without Getting Lucky)
Original link

What companies benefit from CHIPS Act?


The CHIPS Act, which stands for Creating Helpful Incentives to Produce Semiconductors, was passed by the U.S. Congress in 2020 to boost the domestic semiconductor industry. This act aims to address the global chip shortage by providing financial incentives and funding for chip manufacturing and research in the United States. While the CHIPS Act benefits the semiconductor industry as a whole, there are certain companies that stand to gain more from this legislation than others. In this essay, we will discuss the companies that benefit most from the CHIPS Act.

The first set of companies that benefit from the CHIPS Act are the semiconductor manufacturers themselves. This includes companies like Intel, AMD, and Qualcomm. With the financial incentives and support provided by the CHIPS Act, these manufacturers can expand their operations, invest in new technologies, and increase their production capacity. As the demand for semiconductors continues to rise, these companies will be well-positioned to meet the market needs, thereby increasing their competitive advantage and market share.

Another set of companies that benefit from the CHIPS Act are those in the supply chain of semiconductor manufacturing. These include companies involved in designing, testing, packaging, and distributing semiconductors. By supporting domestic chip production, the CHIPS Act ensures a reliable and secure supply chain for these companies, reducing their dependence on foreign suppliers and mitigating the risks associated with global disruptions.

Furthermore, the CHIPS Act also benefits the automotive industry. With the increasing digitization and connectivity of vehicles, semiconductors have become an integral part of modern cars. However, the chip shortage has severely impacted the automotive sector, leading to production delays and increased costs. By supporting domestic chip manufacturing, the CHIPS Act enables automakers such as General Motors, Ford, and Tesla to secure a stable supply of semiconductors, ensuring the smooth production of vehicles and the timely integration of advanced technologies in the automotive industry.

The consumer electronics industry is yet another sector that stands to benefit from the CHIPS Act. Companies like Apple, Samsung, and Sony heavily rely on semiconductors for their smartphones, tablets, TVs, and other electronic devices. With the support of the CHIPS Act, these companies can ensure a steady supply of semiconductors, avoiding production disruptions, and meeting the growing consumer demand for their products.

Moreover, companies operating in the defense and aerospace sectors are also major beneficiaries of the CHIPS Act. Semiconductors play a critical role in military equipment, communication systems, and aerospace technology. By promoting the domestic production of semiconductors, the CHIPS Act enhances the national security of the United States by reducing the country's dependency on foreign chip manufacturers and ensuring a secure supply of semiconductors for defense-related purposes.

Additionally, the CHIPS Act benefits companies engaged in emerging technologies such as artificial intelligence, the Internet of Things (IoT), and autonomous vehicles. These cutting-edge technologies heavily rely on semiconductors for processing power and data storage. By supporting the domestic semiconductor industry, the CHIPS Act fosters innovation in these sectors, enabling companies like NVIDIA, Google, and Tesla to develop advanced technologies and gain a competitive edge in the global market.

Furthermore, the CHIPS Act also benefits the pharmaceutical and healthcare industry. The pandemic has highlighted the importance of semiconductors in medical devices, diagnostic equipment, and vaccine research. By promoting domestic chip manufacturing, the CHIPS Act ensures a stable supply of semiconductors for the healthcare sector, enabling companies like Johnson & Johnson, Pfizer, and Medtronic to continue their critical work in developing and manufacturing life-saving technologies.

Companies involved in renewable energy and environmental technologies also stand to benefit from the CHIPS Act. Semiconductors are essential for solar panels, wind turbines, energy storage systems, and electric vehicles. By supporting the domestic semiconductor industry, the CHIPS Act accelerates the development and deployment of clean energy technologies, facilitating the transition to a sustainable and low-carbon future.

Lastly, the CHIPS Act benefits start-ups and small enterprises in the semiconductor industry. The act provides funding and incentives that can level the playing field for these companies, enabling them to compete with larger and established players. This fosters innovation, diversity, and entrepreneurship in the semiconductor industry, ultimately driving economic growth and job creation.

In conclusion, while the CHIPS Act benefits the semiconductor industry as a whole, it provides significant advantages to specific companies and sectors. Semiconductor manufacturers, automotive, consumer electronics