Alex Gault

Entrepreneur * Communications expert * Multi-platform media strategist * Angel investor * Curator * Social enterprise evangelist

[Mark Cuban @mcuban]

The reason anyone gets insanely rich is almost always because of the stock market. It certainly how @elonmusk did.

And the reason they get rich from the stock market, is because 150m Americans decided they wanted to own shares of stocks directly, or through their retirement plans, or through other approaches as a way of building their net worth and trying to create a better life for themselves.

One Hundred Fifty Million Americans. About 60% of adults.

Effectively believing that @elonmusk and many billionaires could make them wealthier and help them achieve a better life.

If you want @elonmusk , and most billionaires to no longer be that rich, convince those 150m to sell their stocks, funds, ETFs whatever.

Of course you would wipe out the net-worth of most of those people, and everyone else’s savings, as the markets crashed and brought down the economy and created the worst depression we have ever seen.

Alternatively

There are ways to improve healthcare access and eventually make it available to all.

To start -
If you want @elonmusk and all billionaires to improve healthcare for everyone , ask them to stop doing business with the enormous healthcare conglomerates and to work directly with transparently priced care providers.

It’s the behemoth HC conglomerates that make HC so bad for so many. (Check my timeline for more detail)

Removing them would push the cost of healthcare down for everyone. Their corporate decisions impact our healthcare cost and availability.

Of course if they do that, not only would our HC costs go down , and the quality of care for their employees and the entire country go up

But

They would see their corporate cash flow increase dramatically and we would have more millionaires, billionaires and maybe even another trillionaire when that cash flow moved from the big health care conglomerates to their bottom line, so would the net worth of the 150 million American adults that own public stocks

Capitalism is better than socialism because 150m Americans can influence exactly what happens in this country.

[Alex Gault @agault]

Instead of selling AI tools to companies, venture capital firms are buying legacy companies and rebuilding them around AI from the inside. It's a twist on the venture model, essentially applying the growth mindset to established companies.

https://t.co/V9noQjOIeN

[Alex Gault @agault]

Doomers want you to ignore the history of innovation, and freeze-frame the collapsing cost of cognition. They focus on the tasks that get automated away, and ignore a new frontier of demand that will create jobs we haven’t even conceived of yet.

@a16z

https://t.co/I3HrzrEpje

[Alex Gault @agault]

The future of AI will not be decided only by how intelligent the best models become. It will be shaped as much by the economics of serving intelligence again and again, such that it's affordable to everyone.

https://t.co/eq2leAPW4E

[Alex Gault @agault]

As AI-generated writing floods the internet, more people are trying to detect which creators are using such tools to write copy. Writers penning all their own work are trying to master something they never worried about before: how to sound human.

https://t.co/S1KrY5dXY0

[Alex Gault @agault]

Despite the US spending 23 times more on private AI investment than China, the performance gap between the best US and Chinese AI models has collapsed to 2.7%. The US invested $285.9 billion in private AI capital in 2025. China invested $12.4 billion.

https://t.co/W394s6RCys

[Alex Gault @agault]

Survey of 3,750 execs & workers in 14 countries:
✴️Over 54% of workers bypassed their company’s AI tools in the past 30 days & completed the work manually instead
✴️33% haven’t used AI at all
✴️88% of execs say workers have adequate tools; only 21% agree.
https://t.co/5oxrnthTvt

[Alex Gault @agault]

33% of Fortune 500 and 20% of the Global 2000 have deployed enterprise AI -- Dominated by a set of use cases & industries: Coding, support & search represent the lion’s share while tech, legal & healthcare sectors are the industries most eager to adopt AI.
https://t.co/TBv4oGzMCk

[Marc Andreessen 🇺🇸 @pmarca]

The "AI job loss" narratives are all fake. AI = massive ramp in productivity = massive ramp in demand = massive jobs boom. Watch.

[Alex Gault @agault]

@Scobleizer Just joined. Thanks for creating this!

[Alex Gault @agault]

So far in 2026, 22 transactions valued at $10 billion or more have been announced globally—a record quarterly number. The next-closest quarter was the 4th quarter of 2015, when 21 such deals were announced.

https://t.co/6vbSCNVnZM

[Alex Gault @agault]

US Entrepreneurs filed 1.56 million business applications from Nov-Jan, the most of any 3-month period since 2004.

Anticipating future layoffs, many are leaving their jobs preemptively to start businesses. Many believe AI makes launching a startup easier.
https://t.co/9G2d14yufD

[Peter H. Diamandis, MD @PeterDiamandis]

Technologies that started as science fiction:

Submarines — Jules Verne, 1870. Built by Simon Lake, 1898.

Rockets — H.G. Wells, 1898. Built by Robert Goddard, 1926.

Helicopters — Jules Verne, 1886. Built by Igor Sikorsky, 1939.

Tablet computers — Arthur C. Clarke, 1968. Built by Apple, 2010.

Video calling — The Jetsons, 1962. Built by Zoom, 2013.

The internet — William Gibson coined “cyberspace,” 1984. The web went live, 1991.

Humanoid robots — Karel Čapek, 1920. Built by Tesla, 2024.

Universal translators — Murray Leinster, 1945. Built by Google, 2017.

Brain-computer interfaces — William Gibson, 1984. Built by Neuralink, 2024.

De-extinction — Michael Crichton, 1990. Being built by Colossal, today.

What else?

[Alex Gault @agault]

Institutional trust & cultural permission are now inseparable from the product itself. You can't build an Intelligence OS without a bedrock of trust. Adoption is no longer determined by capability, but by whether users, institutions & governments trust it.
https://t.co/JqCWJEh98Q

[Alex Gault @agault]

New research finds that leading LLMs have biases - consistently recommending strategies that align with managerial buzzwords & trends rather than context-specific strategic logic.

#Trendslop: AI's propensity to opt for buzzy ideas over reasoned solutions
https://t.co/WDEVdaktMR

[Alex Gault @agault]

AI startups accounted for 41% of the $128 billion in venture dollars raised last year — a record-high. Investors were voracious in deploying capital to AI startups, to the point that 10% of startups accounted for half of the funding.

https://t.co/0OCcm5SNKg

[Peter H. Diamandis, MD @PeterDiamandis]

We’re watching the Supersonic Tsunami hit. Neuromorphic chips (1000x efficiency). Fusion plants coming online. Humanoid robots entering our homes. $1 trillion infrastructure deployment. These aren't separate trends—they're one converging system. The next 6 months will be wild.

[Alex Gault @agault]

Since @openclaw is open-source software, every major Chinese tech company has been rushing to make their own customized version of it. For instance, there’s Tencent’s QClaw, ByteDance’s ArkClaw, Moonshot’s KimiClaw, and https://t.co/Z3c6jiu3mD’s AutoClaw.

https://t.co/YS40R0zuoV

[Alex Gault @agault]

Writing used to be a craft where someone toiled for hours, before publishing content. That’s no longer necessary. LLMs can generate seemingly infinite text at will.

The written word is far less useful as a signal of thought or effort than it used to be.
https://t.co/UQvW43nqWa

[Erik Brynjolfsson @erikbryn]

.@alexolegimas has updated his summary of the evidence on AI and productivity. It's terrific!