A Message From Brownstone Research

Dear Reader,

Do you hold any of these AI stocks?

Wall Street insider Jason Bodner — the man who called Nvidia at $4.50 — says today’s AI stocks are about to hit a wall.

And a completely different group of AI firms… names Wall Street is starting to ignore… are about to take off.

This has nothing to do with SpaceX…

A new chatbot…

Autonomous robots…

Or anything you’re likely hearing about.

It has to do with a brand-new “light-speed” device turning AI as we know it into “Accelerated AI”…

Making it 100 times faster…

And 100 times more energy efficient — right here, on Earth.

Already, some of the biggest tech investors like Elon Musk, Mark Zuckerberg, Cathie Wood, and Bill Gates are moving money into it.

Just to name a few…

They’re all moving money to prepare for what’s coming.

But you won’t hear anything about it in the mainstream news…

In fact, TV pundits spent most of this past year talking about AI worries and its “existential risk” to jobs…

Or arguing whether we’re in an AI bubble and when it would pop…

That’s why most Americans won’t see it coming until it’s too late.

Don’t be one of them…

Because if you’re holding the wrong AI stocks when “Accelerated AI” goes mainstream…

You could spend the next decade just trying to claw back to even…

But if you make the one move Jason reveals in this urgent video message…

The next 12 to 24 months could hand you bigger gains than the entire AI boom of the last three years.

Click here to hear the full story and get ahead of the crowd.

But hurry, because this opportunity won’t stay hidden much longer.

We have so much to look forward to,

Jeff Brown
Founder & CEO, Brownstone Research

P.S. Jason also shares details on 10 popular AI stocks he says you must dump before this shift goes mainstream. Names sitting in millions of 401(k)s, IRAs, and brokerage accounts. Click here to see if yours made the list.

Salesforce Just Got a Rare Double Upgrade—What Changed?

Submitted by Jeffrey Neal Johnson. Published: 10/12/2026.

Enterprise software stocks are under pressure this year as investors question whether traditional cloud providers can monetize artificial intelligence (AI) or risk being left behind by it. Salesforce (NYSE: CRM) has navigated an approximately 12% year-to-date decline amid these broader sector concerns.

However, recent data points indicate that the narrative may be changing. Bank of America issued a rare double upgrade for Salesforce, raising its rating directly from Underperform to Buy and setting a $285 price target. The analyst action coincided with Salesforce's agreement to acquire Loops, an AI-powered analytics platform, for an estimated $30 million.

The combination of strategic acquisitions and improving analyst sentiment points to a clear transition. Salesforce is moving AI capabilities from the experimental phase into a measurable growth engine, challenging the bearish sentiment weighing on its valuation.

This operational shift fundamentally alters the investment thesis for the enterprise software giant.

Headless Analytics Drive AI Value

The anticipated acquisition of Loops represents a calculated strategy to enhance Tableau and Slack. Loops uses machine learning models to monitor a company’s key metrics and flag unusual activity. Rather than requiring users to open a dashboard to find insights, the integration would let Salesforce deliver analytics in a headless manner. This means the system can proactively surface actionable business insights directly within companies' existing workflows.

The technology sector calls this framework agentic AI. Instead of acting as a passive database waiting for a user query, the software functions as an active agent, triggering alerts and suggesting actions based on real-time data shifts.

For enterprise clients, bridging the gap between data and operational workflows can be challenging. By embedding this type of analysis into its daily communication tools, Salesforce increases platform stickiness and supports higher subscription tiers. When data tools actively drive business decisions rather than simply report on them, the software becomes harder for an enterprise to cut during budget reviews. This functionality targets technology officers seeking to consolidate their vendor lists without sacrificing advanced analytical capabilities.

From Trial Runs to Real Revenue

Skeptics might point out that high trial rates for new features do not automatically translate into sustained top-line growth. About 85% of existing customers have trialed the Agentforce platform, but the financial metrics are now beginning to reflect real enterprise adoption. Agentforce recently surpassed an estimated $1.5 billion in annual recurring revenue, representing growth of around 240%.

This revenue visibility is supported by broader pipeline strength across Salesforce. Current remaining performance obligations, a metric indicating future revenue under contract, expanded approximately 14% to $33.5 billion in the most recent quarter. This suggests software budgets are stabilizing and shifting toward AI-integrated platforms following a period of hesitation.

Salesforce is also executing a structural shift in its pricing models to preserve operating margins. Historically, software-as-a-service companies relied heavily on per-seat licensing. This created a headwind as investors worried that, if AI automates entry-level jobs, enterprise clients would purchase fewer software seats. Salesforce is actively mitigating this risk by introducing usage-based models, such as Flex Credits and billing for discrete agentic work units.

This transition allows Salesforce to capture value based on the computational work performed and the business value delivered. It also helps neutralize the threat of seat-based margin compression while aligning revenue growth directly with client productivity gains.

A $25 Billion Buyback Builds a Floor

The case for the recent Bank of America upgrade rests heavily on current valuation metrics. Trading near $235.50, Salesforce has an approximate trailing price-to-earnings ratio of 21.47 and a forward price-to-earnings ratio of about 18.30. When factoring in projected growth, the forward non-GAAP PEG ratio sits just below 1.0.

In the technology sector, a PEG ratio below 1.0 traditionally signals an attractive valuation relative to expected earnings growth. Compared with highly valued infrastructure companies, Salesforce trades at a discount, offering a margin of safety for value-conscious investors.

Profitability remains intact, with trailing 12-month earnings per share of approximately $10.97. This metric recently benefited from a significant earnings beat: Salesforce reported $5.90 per share in the latest quarter versus the $3.27 consensus estimate, highlighting strong operational execution.

Salesforce management is actively leveraging the balance sheet to support the equity. An approximately $25 billion share repurchase program, authorized earlier this year, provides a mechanism to return capital to shareholders. Executing large-scale buybacks reduces the outstanding share count, which mathematically boosts earnings per share even if net income remains flat. This aggressive capital-return strategy creates a valuation floor, limiting downside risk as Salesforce executes its product transition.

The $32 Million Short Case

Short interest in Salesforce climbed from just over 29 million shares in August to about 32.8 million shares by late September. This elevated short interest suggests that a subset of investors believes the recent earnings strength relies too heavily on share buybacks rather than organic revenue acceleration.

The debt-to-equity ratio sits around 1.02, which is somewhat elevated for a pure software play. While current cash flow easily services this leverage, it could constrain financial flexibility if economic conditions tighten or enterprise technology spending unexpectedly contracts.

The Loops transaction is expected to close in November. Integration risk is a standard factor in any technology acquisition. Investors will look for concrete evidence over the next two quarters that these new agentic features are driving actual subscription upgrades rather than merely generating initial trial usage.

Charting the Next Cloud Era

The combination of a discounted valuation, active share repurchases, and tangible revenue from AI products paints an encouraging picture for Salesforce. The shift to usage-based pricing positions Salesforce to benefit directly from business automation rather than be hindered by it. By addressing the core concerns surrounding seat-based licensing erosion, management is outlining a sustainable path forward.

Investors may want to add Salesforce to their watchlist as the market digests the Bank of America upgrade and the pending Loops integration. Those with a medium-term horizon could view the current valuation as a compelling entry point, provided they monitor upcoming quarterly reports for sustained growth in the Agentforce segment and disciplined execution of the capital-return program.

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Everyone in AI Is Quietly Copying Palantir's Playbook

Submitted by Chris Markoch. Posted: 10/1/2026.

For years, Palantir Technologies (NASDAQ: PLTR) was the AI stock investors had to explain away. Its founders held outsized voting control. Its CEO sounded more like a philosopher than a salesman. And the company refused to build its own frontier model. The market treated these traits as quirks, while some investors called them red flags.

That perception is shifting fast. Within a week, the rest of the AI industry began to look a lot like Palantir. The governance structure that critics once mocked is being copied, while the model-agnostic stance once viewed as a weakness is becoming the enterprise default.

Investors still value Palantir as a high-multiple software story. The bigger story may be that Palantir wrote the operating manual everyone else is now following.

The Week the Playbook Went Mainstream

On Sept. 17, Alex Karp appeared on CNBC's "Squawk on the Street." He argued that civil and criminal liability, rather than new regulation, is the first line of defense against dangerous AI. Then he went further, suggesting that leading labs may need to be nationalized because otherwise every one of his clients would sue.

Read closely, Karp wasn't endorsing a government takeover. He was accusing frontier labs, including Anthropic, of using the risks posed by their own technology to argue that governments, rather than courts, should absorb the fallout.

Yes, it was a jab. Karp will be accused of talking his book. But it highlighted a question the market has barely priced in: Who controls these companies, and who pays when things go wrong?

A week later, one lab offered an answer. On Sept. 24, The Information reported that Anthropic is asking shareholders to approve a structure giving CEO Dario Amodei and his six co-founders 50.1% of the voting power. Reuters noted that the design emulates Palantir's founder-control structure. That control would remain in place as long as three of the seven co-founders maintain a minimum stake.

The timing is the intriguing story. Anthropic, viewed for months as the enterprise AI leader, is preparing for what could be one of the biggest IPOs on record. Its template for retaining control isn't Alphabet (NASDAQ: GOOGL) or Meta (NASDAQ: META). It's Palantir.

Why Founder Control Suddenly Makes Sense

Palantir's founders hold a fixed block of just under 50% of the voting power, which they retain as long as they collectively hold a minimum number of shares. Governance purists dislike the arrangement because it insulates leadership from activists and short-term shareholder demands.

Now consider what AI companies face: mission commitments, national security scrutiny, potential liability for model outcomes and political pressure from every direction. In that environment, a structure that allows founders to say "no" to the market looks less like entrenchment and more like insurance.

That's more than a shift in perception. The feature investors once discounted may become one they are asked to accept across the sector.

The Neutral Layer Is the Other Half

Governance is only one half of the story. The other half is Palantir's refusal to pick a model winner. The company's AIP platform supports models from OpenAI, Anthropic, Meta, Google and xAI, as well as self-hosted and customer-provided models. Palantir explicitly calls the platform model-agnostic.

Palantir recently opened access to models from Google, Anthropic, DeepSeek, Z.ai and Moonshot AI across several security environments. On Sept. 8, it named Nebius (NASDAQ: NBIS) its preferred sovereign AI infrastructure partner. The goal is to make the model replaceable while keeping the customer's data, permissions and operational structure in place.

Customers are saying the quiet part out loud. Stagwell's chief AI officer said the firm wants to remain agnostic to the LLM and switch when a better model arrives. Chamath Palihapitiya expects enterprises to move toward model-agnostic control planes within about 36 months as model costs converge.

This isn't the kind of hedging seen at the hyperscalers, where neutrality protects a cloud business. For Palantir, neutrality is the product. If models become commoditized, value moves up the stack. It flows to whoever controls the permissions, governance and audit trail.

What the Chart and the Street Are Saying

The market has noticed. PLTR trades near $188, well above its rising 50-day moving average near $167. Shares gapped higher on heavy volume in early August and have made higher lows since. MACD sits just above its signal line, keeping momentum positive.

But the setup has a ceiling. Shares are pressing into the $190 to $200 zone that capped rallies last November and December. Volume on this rally is lighter than during the August breakout, while the MACD histogram is flattening. A decisive close above $200 would confirm that the narrative is winning. Another rejection would suggest the market still wants proof.

The 36 analysts tracked by MarketBeat give PLTR a consensus Moderate Buy rating with a $195.33 average target, implying about 3% upside. Targets range from $80 to $255.

Investor Perception Is Catching Up to Palantir's Playbook

There's still a sizable contingent of analysts who say Palantir is an expensive software stock led by an eccentric CEO. Industry behavior suggests something different. Its governance model is being borrowed by the enterprise AI leader, while its neutral-layer strategy is becoming the enterprise default.

Of course, at these multiples, execution has to remain almost flawless. But investors fixated on price may be missing the bigger signal. When rivals start borrowing your blueprint, the quirks were never quirks. They were the strategy.