GAFAM NewsMonthly roundup
Big Tech in October 2026: the light and the dark
iPhone Duo, Muse Wonder, Gemini 4 Carbon and AWS growth, set against Alphabet's record drop, Microsoft buyouts and Amazon's cash outflow.
- First published in Japanese
- English edition
Good evening. The Owl here.
I haven’t written one of these monthly roundups in a while, so I’m going to try bringing them back.
October 2026 brought the launch of the iPhone Duo and a run of new AI announcements, but also a steep fall in Alphabet’s stock and a voluntary buyout offer at Microsoft. Here is the month in “light and dark”: the progress of the technology, and the pressure of investment and jobs that sits behind it.
Based on information I could confirm as of October 31, 2026. Earnings figures are mainly results for the July–September quarter.
The light side
Apple launches the foldable iPhone Duo
On October 23, Apple’s first foldable iPhone, the iPhone Duo, went on sale. Announced in September, it is now finally in customers’ hands. [1]
Closed, it works as a compact smartphone; open, it gives you a large screen. Apple says the inner display is about 50% larger than the iPhone 18 Pro Max’s, making it well suited to work across several apps, games and the like. [2]
Writing an email while looking at a document, say. Planning a trip while checking the map. The value of a bigger screen lies in shaving off these small, everyday hassles. With Apple now in the foldable category, the way people use apps may start to change more widely, too.
That said, the buzz at launch is one thing; whether people stay happy with it over years of use is another. Whether a new form factor becomes a reason to upgrade will be judged on price, durability and how well apps work on it.
Meta joins the race to hand work to AI with Muse Wonder
On October 12, Meta announced two new AI models, Muse Wonder and Muse Wonder Full. They follow Muse, the personal AI agent Meta released in September. [3][4]
The headline features this time are “Active Memory”, which carries the information you need across conversations, and “Active Focus”, which keeps working at hard tasks by changing its approach. Meta lists uses such as understanding contracts, handling insurance claims and building apps. [4]
No need to explain your situation from scratch every time. If it stumbles partway, it keeps trying to move forward. Once abilities like these work reliably in real jobs, the range of things we can leave to AI will grow.
As of the announcement, Meta plans to offer Muse Wonder through developer APIs and other channels, and to bring it into Muse gradually, starting with paying users. This was not an announcement that every user gets the same features right away. [4]
Meta built its business connecting people to people on social media; now it wants to take care of people’s errands. The announcement showed how far that business is spreading. On the other hand, the more a system remembers, the more it matters that users can check what it holds and delete it.
Google unveils Gemini 4 Carbon, with a staged rollout
On October 28, Google announced Gemini 4 Carbon. The company positions it as a model with stronger abilities in programming, long multi-step tasks and cyber defense. [5]
According to Google, it took first place in an updated version of the Artificial Analysis Intelligence Index, an outside performance benchmark. But this is a result on one particular benchmark. It doesn’t mean the model beats every other company’s AI at every task. [5]
On the practical side, what I’m hoping for is help with work like finding a software bug, tracking down the cause and fixing it. If the model can push through a long process without losing its place, it could lighten the load on developers and security staff.
The rollout is cautious. Google is giving it to some cyber defenders starting the week of the announcement and plans to widen access step by step to trusted partners. It is not a full public release for general users. [5]
Demonstrating top-tier capability is one thing; making a model safe to use widely is another. We have reached the stage where both are put to the test.
Amazon: AWS revenue up 39.3%
The strength of AI demand showed up not just in product launches but in actual revenue.
In the July–September results Amazon released on October 29, revenue at its cloud business, AWS, rose 39.3% year over year to $46 billion. That is the fastest growth rate in about five years. AWS operating income was $17.8 billion. [6]
Building and running AI takes enormous amounts of computing power. AWS’s growth shows that companies are paying for it. Not everything people expect from AI rests on forecasts alone.
But if revenue is growing, does that also settle the question of investment? Look at the same results from another angle and the picture changes.
The dark side
Alphabet stock falls 12.6%: a strong AI model alone can’t win over the market
On October 29, Class A shares of Alphabet, Google’s parent company, fell 12.6% in US trading. According to AP, it was the biggest one-day percentage drop for the stock since it went public. [7]
In its July–September results, released the day before, revenue rose 25% year over year to about $127.6 billion, but still fell short of market expectations. Reuters pointed to disappointing results in the search advertising business and a widening cash outflow tied to AI investment. [8]
A 25% rise in revenue, and the stock still gets sold off. That shows how high the expectations placed on these giant companies are. What the market wants to know is how its existing search advertising, and the company’s earnings as a whole, will change as AI use grows.
Gemini’s improving performance and the plunging share price look contradictory, but they are measuring different things. Being able to build an excellent model and earning profits from that model that justify the investment are still some distance apart.
Microsoft offers voluntary buyouts to about 60,000 people
On October 26, Microsoft disclosed that it is offering voluntary buyouts to about 60,000 employees. That is roughly 27% of its total workforce, and it includes employees in the United States, the United Kingdom, Canada and India. [9][10]
This is a number worth reading carefully. 60,000 is the number of people eligible for the program, not the number who have decided to leave, and not the number laid off.
Reuters reported it as a move to hold down costs and support huge AI investments. The eligible groups span a wide range of divisions, including AI-related teams, Copilot, Xbox and Windows. [10]
AI investment goes up while labor costs are reined in. For working people, there is a reality here: the growth of a new technology does not necessarily translate into security in their own jobs.
That said, it would be premature to explain all of this as “AI replacing people’s jobs”. It is better understood as a decision where the burden of capital spending, business priorities and reorganization all overlap.
Amazon: AWS grows, but cash flows out
Amazon appeared on the light side, but its free cash flow for the 12 months through the end of September was negative $42.4 billion. For the same period a year earlier, it was positive $14.8 billion. [6]
Free cash flow is the cash a business generates minus spending such as capital investment: a rough gauge of how much financial slack a company has. Amazon explains that the main cause of the decline is higher purchases of equipment, centered on AI investment. [6]
This does not mean a net loss of $42.4 billion. Amazon’s operating income for the July–September quarter was $28.1 billion. The business is making a profit while pouring even more cash than that into equipment. [6]
After the results, the stock fell as much as about 7% in after-hours trading. Reuters reported that worries about the cash outflow and future capital spending weighed more heavily than the cloud’s strong growth. [11]
Demand is strong, so you add capacity. But adding capacity drains cash. To keep this cycle going, momentum in growth isn’t enough; the company also needs to show a path to earning back the investment.
Closing thoughts
Lay October’s news side by side and the technology is clearly moving forward. The iPhone gained a new form, and AI is evolving toward carrying memory over and pushing through long tasks. Cloud revenue showed the strength of demand, too.
Even so, a product selling well, a company keeping cash on hand, and working people’s lives staying stable each have to be checked separately. The falls in Alphabet’s and Amazon’s stock and Microsoft’s buyout offer brought those differences into view.
What I want to watch from here is not only how smart AI has become, but whose burdens that power lightens and who it benefits. Performance rankings alone are no longer enough to measure what the investment delivers.
🦉 Just as a barn owl flies with muffled wingbeats so it can hear the faintest sound of its prey, I want to listen closely for the quiet voices of working people behind the glitter of new product launches. [12]
References
[1] Apple: iPhone Duo arrives at Apple Store locations worldwide
[2] Apple: Open up to new possibilities with iPhone Duo
[3] Meta: Introducing Muse: The World’s First Personal AI Agent Built for Everyone
[4] Meta: Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents
[5] Google: Gemini 4 Carbon: our next frontier model
[6] Amazon: Amazon.com Announces Third Quarter Results
[7] AP: A historic drop for Alphabet’s stock drags the US market lower
[8] Reuters: Alphabet stock sinks as search woes cause revenue miss, cash burn worsens
[9] AP: Microsoft offers a quarter of its global workforce voluntary buyouts as AI spending accelerates
[10] Reuters: Microsoft is offering buyouts to around 60,000 employees, Business Insider reports
[11] Reuters: Amazon sinks as AI spending eclipses fastest cloud growth in five years