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HOME/AXIOS AI+/☠️ "The day after"
NEWS
// NEWSLETTER ISSUE
AXIOS AI+

☠️ "The day after"

DATE October 9, 2026SOURCE AXIOS AI+PARTICIPANTS AXIOS AI+
AI SafetyRegulation & PolicyGeopoliticsVenture CapitalLeadership & ManagementIPO & Public Markets
// SUMMARY

1. Key Themes

Theme: AI companies are preparing for a catastrophic incident and the political backlash that follows

Executives are war-gaming "the day after" a major AI event

Top leaders at the leading labs are privately planning for a public and political revolt, and many believe a major incident is coming soon.

  • "Top executives at Anthropic, OpenAI and other AI companies are privately gaming out scenarios for a public and political revolt after a catastrophic AI event."
  • "Many AI industry insiders told Axios they believe a major event will occur in the next six to 12 months."
  • "These officials anticipate a large-scale event, most likely a cyberattack, that shuts down access to financial services, internet connectivity, or even power and water."

The lobbying goal is to shape post-crisis legislation, not block it

Companies know regulation can't pass today, so they're educating Congress now to influence what leaders reach for later.

  • "Company executives know regulation has no chance of passing right now, but still want to shape the legislation and policies U.S. leaders will turn to after a first catastrophic event."
  • "The planning involves red-teaming for worst-case scenarios. It focuses mainly on racing to educate members of Congress."

Policy outcomes range from outright bans to industry-tolerated kill switches

The post-midterm policy space is wide, and the planners expect fractured politics even among Democrats.

  • "Top AI planners assume Democrats, ascendant after the midterms, will move fast to shut down AI but will face significant challenges."
  • "Some of the most heavy-handed Democratic proposals include banning superintelligence or pausing advanced AI development."
  • "Others have bipartisan support and even some industry buy-in, including a required kill switch on advanced AI. But experts have questioned the viability of trying to turn off all AI systems."

Theme: The U.S. economy and markets are increasingly concentrated in AI, which raises systemic risk

Market concentration now exceeds the dot-com peak

The AI trade dominates equity indices, and true exposure is larger than the official sector weighting shows.

  • "The weighting of the S&P 500 technology sector in terms of market capitalization is now roughly 40%. That's higher than during the peak of the dot-com bubble."
  • "If you throw in the hyperscalers Meta and Amazon, which S&P doesn't include in the tech sector, the share of the AI-pilled part of the blue chip index climbs closer to 50%."

AI is also crowding the credit markets

AI borrowing is now the main driver of investment-grade debt supply.

  • "In corporate bonds, AI-related offerings accounted for more than half of net investment grade issuance for the year through the end of August, according to data from Apollo and Bloomberg."

A two-speed economy ties everyone to AI's fortunes

  • "The growing chasm between the breakneck growth of the AI world and the slower pace of the economy where most Americans work and live has huge implications, especially for the markets."
  • "The growth gap between AI and everything else means the U.S. economy and the markets are increasingly yoked to AI — and all the risks that come with it."

Theme: AI-enabled cyber offense is driving a defense-first productization race

Attackers are already using frontier and open models

Real-world misuse is happening now, with low barriers for a single actor.

  • "A hacker from China allegedly used AI tools from China-developed models, including DeepSeek, to steal data from tens of thousands of bank customers. The attacker used Claude Code to ask for help finding places to sell the stolen data, according to cybersecurity firm CrowdStrike."
  • "A recent campaign targeting South Korean financial organizations — including reported breaches at two banks — shows the damage one person can do."

Labs are putting their strongest models in defenders' hands

  • "Anthropic is launching a new initiative to bring its most powerful AI models and engineers to companies protecting power grids, water utilities and other infrastructure."
  • "Anthropic, OpenAI and other AI developers are looking for ways to put their most powerful models in the hands of cyber defenders as hackers gain access to similar capabilities."
  • "Under its new Critical Infrastructure Defense Program, Anthropic will provide frontier AI models, onsite engineers and threat research."

Verification and remediation, not discovery, is the bottleneck

  • "The company said the project demonstrated how quickly AI can uncover vulnerabilities, but also how difficult it remains to verify and fix them."

2. Contrarian Perspectives

Regulation may stall even after a catastrophe, because the economy is too dependent on AI Conventional wisdom says a major incident triggers a swift crackdown. The article's planners argue structural constraints could blunt it.

  • "The global economy is now heavily intertwined with an AI infrastructure buildout. Slowing it down could hit an already fragile economy hard."
  • "An aging Congress, out of touch with the AI revolution, could find itself out of its depth."

Open-weight models make a shutdown technically infeasible; the solution is more AI, not less The assumption that regulators can "turn it off" collides with proliferation reality.

  • "Too many open-weight models can already be freely downloaded and used to cause harm, a problem most cybersecurity pros see as solvable only by using AI to fight rogue AI."
  • On kill switches: "experts have questioned the viability of trying to turn off all AI systems."

The real AI concentration exceeds what headline figures suggest The common framing of tech sector weighting understates exposure.

  • "But that actually underplays the impact of AI."
  • "The share of the AI-pilled part of the blue chip index climbs closer to 50%."

3. Companies Identified

Anthropic

  • Description: Frontier AI lab behind Claude.
  • Why mentioned: Executives are planning for post-incident backlash. Anthropic is also launching a defense program and a free open-source scanner.
  • Quotes: "Anthropic is launching a new initiative to bring its most powerful AI models and engineers to companies protecting power grids, water utilities and other infrastructure." / "Anthropic is also launching a free AI-powered vulnerability scanning service for open-source software projects, called OSS Scanner." / "Anthropic banned 'abusive or cruel behavior' toward Claude yesterday."

OpenAI

  • Description: Frontier AI lab.
  • Why mentioned: Runs preparedness exercises. Its revenue figure was revised down.
  • Quotes: "OpenAI conducts preparedness exercises where teams discuss and work through a range of potential scenarios." / "OpenAI's annualized revenue is $50 billion, about $20 billion less than previously reported figures."

CrowdStrike

  • Description: Cybersecurity firm.
  • Why mentioned: Source of research on the South Korea bank attack, and a founding partner of Anthropic's program.
  • Quotes: "The attacker used Claude Code to ask for help finding places to sell the stolen data, according to cybersecurity firm CrowdStrike."

Critical Infrastructure Defense Program founding partners (Accenture, Booz Allen Hamilton, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC, Rockwell Automation)

  • Description: Consultancies, cybersecurity vendors, and industrial-technology firms.
  • Why mentioned: Channels for deploying frontier AI defensively into critical infrastructure.
  • Quotes: "The program's founding partners include Accenture, Booz Allen Hamilton, CrowdStrike, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC and Rockwell Automation." / "Participating companies will use these resources to identify and fix vulnerabilities in their customers' systems."

Nvidia and the hyperscalers (including Meta and Amazon)

  • Description: AI chip leader and large cloud/platform companies.
  • Why mentioned: Drivers of market concentration.
  • Quotes: "Excitement over all things AI-related has supercharged the market values of Nvidia, the hyperscalers and other AI-related tech stocks."

DeepSeek

  • Description: China-developed AI model.
  • Why mentioned: Allegedly used in the bank data theft.
  • Quotes: "A hacker from China allegedly used AI tools from China-developed models, including DeepSeek, to steal data from tens of thousands of bank customers."

Microsoft

  • Description: Technology company led by Satya Nadella.
  • Why mentioned: Suspended from a key green card program while its CEO was honored.
  • Quotes: "The Trump administration suspended Microsoft from a key green card program yesterday. A few hours later, it honored CEO Satya Nadella with an innovation medal."

Zoox and Waymo

  • Description: Autonomous vehicle operators.
  • Why mentioned: Authors rode both after the Axios event.
  • Quotes: "We both took our first Zoox ride together" / "we took a ride in one of Waymo's newer Ojai vehicles, letting Gemini catch us up on all the AI news."

Apollo

  • Description: Asset manager.
  • Why mentioned: Source of data on AI's share of bond issuance.
  • Quotes: "AI-related offerings accounted for more than half of net investment grade issuance for the year through the end of August, according to data from Apollo and Bloomberg."

4. People Identified

Dario Amodei

  • Description: Anthropic CEO.
  • Why mentioned: Named as a likely target of public backlash.
  • Quotes: "The first example of significant real-world harm caused by unsafe AI would turn an already wary public further against the technology and its leaders, including Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman."

Sam Altman

  • Description: OpenAI CEO.
  • Why mentioned: Same as above.
  • Quotes: See above.

President Trump

  • Description: U.S. president.
  • Why mentioned: Criticized for reluctance to regulate AI, and his administration both penalized and honored Microsoft.
  • Quotes: "...as well as President Trump for his reluctance to regulate it."

Satya Nadella

  • Description: Microsoft CEO.
  • Why mentioned: Honored with an innovation medal despite his company's program suspension.
  • Quotes: "A few hours later, it honored CEO Satya Nadella with an innovation medal."

5. Operating Insights

Run your own "day after" scenario planning, not just incident-response drills The labs are planning for the political and public fallout, not only the technical event.

  • "While scenario planning is common within many companies and national security settings... the difference is that many top AI researchers and executives believe a major incident is inevitable."
  • "OpenAI conducts preparedness exercises where teams discuss and work through a range of potential scenarios."

Engage policymakers before a crisis, when you can shape the playbook Education efforts now determine which policies leaders reach for later.

  • "It focuses mainly on racing to educate members of Congress."
  • "Company executives know regulation has no chance of passing right now, but still want to shape the legislation and policies U.S. leaders will turn to after a first catastrophic event."

If you sell to critical infrastructure, pair frontier AI with onsite engineers and partner channels Anthropic's model bundles models, people, and research, and routes through integrators and security vendors. Expect verification and remediation to be where the value is.

  • "Anthropic will provide frontier AI models, onsite engineers and threat research."
  • "Participating companies will use these resources to identify and fix vulnerabilities in their customers' systems."
  • "...how difficult it remains to verify and fix them."

6. Overlooked Insights

Revenue figures for the leading labs may be inflated by accounting differences A short item revising OpenAI's annualized revenue down by roughly $20 billion could matter for valuation benchmarks across the sector.

  • "OpenAI's annualized revenue is $50 billion, about $20 billion less than previously reported figures."

Anthropic's Project Glasswing shows vetted-access programs are the template for dual-use model release The article mentions it only in passing, but gating the most capable models to vetted defenders appears to be becoming the industry's default risk-management approach, and a potential product category.

  • "Anthropic's new initiative builds on lessons from Project Glasswing, which gave vetted organizations access to its most capable AI models to identify security vulnerabilities."