The Prof G Pod with Scott Galloway - No Mercy / No Malice: Big Tech Stock Pick of 2026 is Amazon
Episode Date: November 1, 2025As read by George Hahn. https://www.profgalloway.com/big-tech-stock-pick-of-2026-amazon/ Learn more about your ad choices. Visit podcastchoices.com/adchoices...
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I'm Scott Galloway, and this is No Mercy, No Malice.
The most undervalued company, The Magnificent Seven, Amazon.
Stock Pick of 26, Amazon, as read by George.
George Hahn.
At the end of every year, I pick a big tech stock, I believe, will outperform its peers in the coming year.
My 2025 pick was alphabet.
I believe the market had overestimated the threats to Google's search businesses by AI and antitrust.
At the time, Alphabet was trading at a PE ratio of 17, compared to the S&P average of 24.
For Alphabet, these existential threats were akin to being trapped inside a speeding car with a wasp,
potentially serious in the moment, but in hindsight, more of a nuisance.
Today, Google's search share remains around 90%, and the company is integrating AI into its results.
Google, not Open AI, will likely continue to monopolize search.
Speaking of monopoly, Alphabet lost its search and advertising lawsuits,
but the remedy slash punishment it was given was the equivalent of me threatening again
to take my son's phone away, i.e. meaningless.
By the way, Alphabet is up 61% year over year, second only to Tesla in the Magnificent Seven.
Where the market overestimated Alphabet's existential threats, I believe it's underestimating
Amazon's not-so-secret weapon, automation, and missing its next growth engine, retail.
For more than a decade, people thought of Amazon as a cloud company with a retail unit.
AWS and the ad business drove its margin expansion, while on the retail side, fulfillment and
shipping costs increased faster than sales. Two years ago, Amazon began to reverse that
trend. Investments in automation, primarily robotics but also AI, are beginning to deliver
operational leverage. Amazon is projected to have almost 40 delivery fulfillment centers
equipped with robots by the end of next year, resulting in an estimated cost savings of
$4 billion per year.
A Morgan Stanley report estimated that if 30% to 40% of Amazon's orders in the U.S.
are fulfilled through its next-gen warehouses by 2030, the company could save $10 billion a year.
Based on last year's financials, $10 billion in cost savings translates to an additional
$170 billion in enterprise value.
As the Prof G Markets team observed in our other newsletter, investors are pricing in AWS's dominance, but missing the retail margin story, making Amazon one of the most underappreciated members of the Mag 7.
Amazon's shares are trading at 34 times earnings, well below the company's five-year average of 60 times.
The stock had been up around 2% so far this year,
but it popped after this week's earnings call on news
that AWS revenue had beaten expectations.
One of technology's tectonic unlocks
has been the elevation of information, bits, over objects, atoms.
Our digital lives are mostly frictionless.
one-click purchasing, personalized algorithmic feeds, and swiping right put shopping, entertainment, and mating at our fingertips.
But in the physical world, friction is the defining feature.
To fulfill a one-click purchase, Amazon deploys armies of human workers, leveraging machines, global supply chains, and infrastructure.
Five companies in the Mag 7 primarily move B.
One, Tesla moves atoms.
Straddling both worlds, Amazon is a logistics company at its core.
With 40,000 semi-trucks, 30,000 vans, and 110 aircraft, equivalent to the armed forces of
Austria, Denmark, or Norway, Amazon excels at moving atoms.
The company delivers 60% of prime orders on the same or not.
next day.
According to the most recent data,
almost three quarters of Americans live
within one hour of an Amazon
fulfillment center.
Recently, I wrote that America's
economy is one big bet
on AI.
That bet has inflated the
valuations of companies that move bits
and distracted attention from
companies using automation
to reduce friction in the physical
world.
Two-thirds of Amazon's revenue
comes from three segments, online retail, physical stores, and fulfillment services for third-party
sellers. Those business lines account for one-third of Amazon's operating expenses, $26 billion in the
last quarter alone. The more it automates, the more Amazon can cut costs in its core
business by reducing real-world friction. It's already happening, according to the
the Wall Street Journal, Amazon averaged roughly 670 employees per facility last year, the lowest
number in 16 years. Meanwhile, those employees now handle 22 times as many packages on average
as they did a decade ago. This week, Amazon announced plans to lay off 30,000 corporate employees.
That 10% reduction represents the largest cut to headcount in the company's
history, but it's a fraction of what's coming for warehouse workers. Amazon's U.S. workforce
has increased three times since 2018 to almost 1.2 million. Seventy percent of the company's
employees are based in the U.S. But according to the New York Times, Amazon believes that by
27, it can avoid hiring more than 160,000 workers it would otherwise need in America.
Ultimately, Amazon believes it can automate up to 75% of the company's warehouse operations.
Consider Amazon's most recent automation milestone.
In June, it deployed its millionth robot worker,
putting the company on pace to have more robots than humans in its warehouses by year-end.
I believe that, just as Mark Zuckerberg, Sachinadella, and Sundar Pichai dream of AI
replacing high-priced tech talent at Meta, Microsoft, and Alphabet,
Amazon CEO Andy Jassy, dreams of a robot workforce
that will never unionize, get injured, demand a raise,
go to the bathroom, take time off,
or post about poor working conditions on social media.
At Amazon scale, it's not a robot workforce, but a robot nation.
One of the fears about AI is that it could build a robot army that turns on us.
It's here, it's Amazon, and so far, it's not looking to kill us.
It will replace a lot of us, though.
Amazon began investing in robotics a decade ago, purchasing Kiva systems for $775 million.
Since then, Amazon has identified six.
categories of automation, movement, manipulation, sorting, storage, identification, and packing.
A robot called Hercules moves heavy carts, while another, Pegasus, sorts, and shuttles-packed orders.
A robotic arm called Sparrow, designed to replace human pickers, is capable of handling 200 million
different products of varying sizes and weights.
A new address labeler can label 3,000 packages per hour.
In tests, Amazon says Sequoia, an automated inventory management system,
can process packages 25% faster than its current management system at a quarter of the cost.
This year, Amazon plans to spend $100 billion to capture what Jassy called a once-in-a-lifetime business.
opportunity, adding that the vast majority of that
CAP-X spend is on AI for AWS.
But investments in AI are paying dividends in robotics
as the technologies converge.
As a Citigroup report put it,
AI is a huge upgrade to robotics,
allowing robots to see, move, talk, learn, and act.
It's the difference between a robot
program to perform a task, and one capable of doing any task within its physical constraints.
If you've taken a Waymo, you've seen convergence firsthand. The car is a robot operated by an
AI driver. At Amazon, the peanut butter and chocolate combo of AI and robotics shows up in three
ways. One, new products. Amazon is testing AI-enhanced robots that can cut open by
boxes, unpack the contents, and sort them into the correct bins.
Two, faster development.
Amazon developed its newest robotic arm, BlueJ, three times faster than its predecessors by using
AI to make virtual prototypes.
And three, optimization.
Deep Fleet uses AI to coordinate the movement of robots across Amazon's fulfillment network,
improving robot fleet travel time by 10%.
Unlike other jobs, loading and unloading trucks is primarily done by humans, even in the most automated warehouses.
It's the same story for last-mile delivery. Amazon's goal is to deliver 500 million packages per year via drone by the end of the decade, but for now, it relies on humans to deliver more than 6 billion packages annually.
This is dangerous work, akin to playing Tetris with heavy weights, often in extreme heat or freezing cold.
According to BLS data, transportation and warehouse workers sustain serious injuries at twice the rate of manufacturing workers
and nearly four times the rate of workers in mining, oil, and gas.
Last year, Ty Brady, chief technologist at Amazon Robotics, described the
tactile skills and situational awareness needed to load and unload a truck as the holy grail of
robotics, adding, we aren't there yet. We is the operative word. This year, D.HL ordered 1,000 robot
truckloaders from Boston Dynamics. Through its $1 billion industrial innovation fund, Amazon invested
in Wrightbot, a startup that designs robot truckloaders.
As soon as a robot truckloader comes online,
it'll connect with two other robot systems, Cardinal and Proteus,
that sort packages and move them to the loading dock.
When that happens, some of America's most dangerous jobs
will mostly vanish.
Automation represents a massive wealth transfer
from Amazon's workers to its shareholders and customers.
Leaked documents show the company hopes to automate away 600,000 jobs by 2033.
An MIT study found that adding one robot to a local area
reduces employment in that area by six workers.
A 2019 Oxford Economics report estimated automation could displace 8.5%
of the global manufacturing workforce by 2030.
As with AI, it's possible that robotics will increase GDP while reducing employment.
Five years ago, my friend Andrew Yang ran for president with the slogan,
Humanity First.
He warned that we needed to prepare humanity if and when automation decimates labor.
This year, President Trump's big.
ugly bill made 100% bonus depreciation permanent for machinery, robotics, and automation equipment,
while simultaneously gutting health care, education, and social safety net programs.
Tax policies illuminate a nation's values.
Our policies suggest we want to birth robots faster and expedite the death of workers.
Life is so rich.
