Companies, sectors, countries and regions affected in “THE 2028 GLOBAL INTELLIGENCE CRISIS”

Source: 

THE 2028 GLOBAL INTELLIGENCE CRISIS

https://www.citriniresearch.com/p/2028gic 

Companies, sectors, countries and regions affected in “THE 2028 GLOBAL INTELLIGENCE CRISIS”.

Negatively Affected Companies and Sectors

• ServiceNow: Experienced significant revenue destruction and a collapse in net new ACV growth as customers cut human staff, leading to the cancellation of seat-based licenses.

• Zendesk: Became the "smoking gun" for the private credit crisis after defaulting on a $5 billion direct lending facility when AI agents rendered its human-centric ticketing and support model obsolete.

• American Express (AXP): Cited as the bank hit hardest by a combination of white-collar workforce reductions gutting its customer base and AI agents routing around credit card interchange fees.

• DoorDash and Uber Eats: Their "habitual intermediation" moats were destroyed as AI agents optimized for the lowest fees and fastest delivery across multiple platforms, compressing margins to nearly nothing.

• Software and SaaS Providers: Companies like Salesforce, Monday.com, Zapier, and Asana faced intense pressure as enterprises used agentic coding tools to replicate their functionality or demand massive renewal discounts,,.

• Payment and Finance Firms: Mastercard, Visa, Synchrony, Capital One, and Discover saw revenue pressure or stock price declines as agents bypassed traditional transaction fees in favor of stablecoins.

• Alternative Asset Managers and Insurers: Firms like Blackstone, Apollo, KKR, and Brookfield faced systemic risks as the private credit market defaulted. Their affiliated insurers—Athene, Global Atlantic, and American Equity—faced downgrades and capital scrutiny,,.

• Indian IT Services: TCS, Infosys, and Wipro faced accelerated contract cancellations as the marginal cost of AI coding agents undercut the cost of human developers in India.

• Travel and Real Estate Platforms: Booking.com, Expedia, and Zillow were disrupted as AI agents bypassed their platforms to assemble itineraries or facilitate property transactions with minimal commissions.

• AI Labs (Anthropic and OpenAI): While economically successful, they faced severe social backlash, including three-week blockades by the "Occupy Silicon Valley" movement.

Negatively Affected Countries and Regions

• India: Perhaps the most negatively impacted nation, India saw its IT services export model collapse. The rupee fell 18% against the dollar, and the country was forced into "preliminary discussions" with the IMF for financial assistance.

• United States: Faced a systemic "Intelligence Displacement Spiral" leading to 10.2% unemployment, a 38% drawdown in the S&P 500, and a fiscal crisis as tax receipts plummeted.

• U.S. "Tech-Heavy" Cities: San Francisco, Seattle, Austin, and Manhattan experienced sharp declines in home values (up to 11%) and spikes in mortgage delinquencies as high-earning white-collar professionals lost their jobs.

• U.S. "Blue States": States dependent on income tax faced default risk in their municipal bonds as the professional class's income was structurally impaired.