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Source document· March 29, 2026

Who in Big Tech Is Ready for Agentic AI?

View original at nasdaq.com
Who in Big Tech Is Ready for Agentic AI? In this podcast, Motley Fool contributors Travis Hoium, Lou Whiteman, and Rachel Warren discuss: Amazon goes after Perplexity's agents.Meta's scattered AI strategy.Oracle's earnings…
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The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Oracle is essentially an AI construction company right now racing to plug in chips faster than the competition

    60% confidence
  • Alphabet has spent about $40 billion on AI related acquisitions

    60% confidence
  • If third party AI becomes the primary shopping interface, Amazon's advertising mode could start to dry up

    60% confidence
  • Oracle's debt of $135 billion is about two times sales and five times EBITDA, which is not unreasonable

    60% confidence
  • Oracle is seeing its highest growth in 15 years but it's coming at a staggering cost

    60% confidence
  • AI agents are tireless shoppers that won't be distracted by deals or browse sponsored results that fuel Amazon's advertising machine

    60% confidence
  • Meta has all the cash in the world and is using it to assemble the brightest minds they can

    60% confidence
  • If you invested $1,000 in Nvidia on April 15, 2005, you'd have $1,026,987 as of March 28, 2026

    60% confidence
  • Meta is struggling to develop what they need in house and have found that acquiring outside talent is the best move

    60% confidence
  • Moltbook is essentially allowing people and bots to communicate with AI agents in natural language through chat apps

    60% confidence
  • This is more of an admission that the AI strategy is pivoting toward autonomous agents

    60% confidence
  • Oracle is betting they can convert the significant backlog into high margin profits before interest on debt catches up

    60% confidence
  • Meta's next act isn't just smarter chatbots, it's a whole infrastructure for AI agents to interact and transact

    60% confidence
  • The 10 best stocks for investors to buy now don't include Meta Platforms

    60% confidence
  • The status quo benefits Amazon and it makes sense to preserve it as long as possible

    60% confidence
  • Until AI models are big enough to force the issue, retailers like Amazon have no incentive to give in to Perplexity

    60% confidence
  • A lot of Oracle's RPO customers may not know if they need all the capacity they've secured

    60% confidence
  • Instant and complete comparison shopping could be the killer app for consumers

    60% confidence
  • Meta's desperate attempts to get users to use their AI are pretty pathetic right now

    60% confidence
  • If you invested $1,000 in Netflix on December 17, 2004, you'd have $503,861 as of March 28, 2026

    60% confidence
  • Meta doesn't know how to get customers to pay for what they're building outside of in-house improvements

    60% confidence
  • When a shift happens, the incumbent usually isn't the beneficiary

    60% confidence
  • If Oracle can go from $60 billion revenue now to $90 billion in 2027, that's really good

    60% confidence
  • The facts on the ground for Oracle right now are really good and the stock is reflecting that

    60% confidence
  • Amazon's entire flywheel is built on owning the entire commerce journey from first search to package delivery

    60% confidence

Data points we hold from this source

Stock Advisor · sp500 comparison return179 percent
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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