🤖 The AI election
1. Key Themes
Theme 1: AI is becoming a political liability, and "preemption" is the attack vector
Democrats are testing AI backlash as a campaign weapon
Democrats are making AI a battleground issue in swing districts, using polling to argue they hold a trust advantage on AI accountability.
"Democrats are seeking to weaponize AI in four competitive House races, launching a $4 million ad campaign to attack GOP incumbents based on new polling data shared exclusively with Axios."
"Voters trust Democrats over Republicans to hold AI executives accountable by a margin of seven to 10 points across the four swing districts, according to Workbench Strategy, which Tomorrow Together commissioned to do the surveys."
Voters care more about blocking state AI regulation than about data centers
The polling suggests the political risk is less about the physical footprint of AI and more about perceived protection of AI companies from oversight.
"The attack is based on new polls showing that voters are more concerned about efforts to block state AI regulation than they are about data center controversies."
Anti-AI-industry sentiment is broad and bipartisan in origin
The 10-year moratorium collapsed under bipartisan pressure, and polling shows majority skepticism of AI companies.
"Widespread, bipartisan backlash quickly erupted, and on July 1 the Senate voted 99-1 to strip the moratorium from the package, including its chief sponsor, Sen. Ted Cruz (R-Texas)."
"The Workbench Strategy data points to widespread voter skepticism of AI companies, with majorities in all four districts saying candidates' AI positions matter to their vote."
Policy ideas gaining traction signal where regulation may land
"The poll also found broad support for AI accountability measures, including making data centers cover utility costs, holding AI companies liable for harm and protecting consumers."
Theme 2: The AI productivity payoff is still unproven outside AI developers
Macro productivity is surging, but attribution to AI is murky
"America is in the midst of its strongest productivity surge in decades. The evidence is more ambiguous about how much AI is the reason."
"But so far, the productivity gains may have more to do with less sexy developments, including the more intensive use of capital equipment and a post-pandemic surge in entrepreneurship now paying dividends."
Enterprises struggle to convert individual gains into organizational gains
"'Translating individual productivity to organizational productivity — there's a lot of slip between cup and lip,' Keith Waddell, CEO of staffing firm Robert Half, told investors last week."
"'Some of that is directly AI. Some of that is non-AI. Most of it is actually mixed and integrated,' CFO Eric Aboaf said Tuesday on the firm's earnings call."
The clearest gains are inside AI labs
"Anthropic disclosed in its IPO filing this week that Claude wrote more than 90% of contributions to its codebase last month."
"The average daily volume of code contributed per engineer was more than 45 times its 2024 level, according to the prospectus."
The key question for investors: "Whether AI's benefits spread beyond tech giants and show up in broader corporate financial results."
Theme 3: Debt markets are becoming the discipline mechanism for the AI buildout
Credit is differentiating between AI winners and losers
"Even as AI borrowing roars on, the bond market is becoming more selective about which companies, projects and structures to finance."
"And since the AI boom increasingly relies on debt, borrowing costs have become a key constraint."
Counterparty risk is contagious across the AI web
Investors are pricing the interlinked structure of leases, loans, and obligations, so stress at one tenant hits associated data center debt.
"Prices show that investors are increasingly cognizant of the complex web of loans, ownership stakes, lease commitments and contractual obligations linking various players in the boom."
"After CoreWeave bonds tumbled two weeks ago, pushing yields on its own unsecured bonds to highs of around 16%, bonds that are financing the development of data centers that CoreWeave has leased... also saw yields creeping higher."
Analysts expect the differentiation to persist
"'Tenant-specific risk was exposed during the October pullback, with CoreWeave and its associated neoclouds and data centers bearing the brunt of the selloff,' wrote high-yield debt analysts at Citigroup."
"'We expect differentiation to persist as investors refine their views on the winners and losers of AI spending.'"
2. Contrarian Perspectives
"Preemption" has gone from wonky policy to a mainstream campaign issue
Conventional wisdom treats AI regulation as a niche, tech-industry topic. The article argues the opposite: it is now swinging battleground ads, and the industry-friendly position (blocking state rules) is the liability.
"Preemption, once considered a wonky, niche policy issue, is emerging as a core theme in battleground state attack ads, an indicator of just how much AI issues may swing the upcoming election."
Supporting evidence: the Senate's 99-1 vote to strip the moratorium, and polls showing voters worry more about blocking state regulation than about data centers.
Record productivity ≠ AI productivity
The consensus narrative credits AI for the productivity surge. The article suggests mundane factors may explain more of it.
"The productivity gains may have more to do with less sexy developments, including the more intensive use of capital equipment and a post-pandemic surge in entrepreneurship now paying dividends."
Supporting evidence: S&P Global targets ~2% annual productivity gains yet cannot isolate AI's contribution, and Robert Half's CEO describes "a lot of slip between cup and lip."
A calm AI credit market can still hide stress
Surface calm and renewed enthusiasm mask lasting repricing of risk.
"A CoreWeave-shaped dent remains in the bond market."
"Assets with links to the most heavily indebted players in the AI ecosystem, like CoreWeave and Oracle, are clearly seeing investors apply a chunky risk premium."
3. Companies Identified
- Description: Heavily indebted AI cloud/infrastructure provider ("neocloud").
- Why mentioned: Its bond selloff was the catalyst for broader credit repricing of AI-linked assets.
- Quotes: "After CoreWeave bonds tumbled two weeks ago, pushing yields on its own unsecured bonds to highs of around 16%..." / "...the heavily indebted AI player CoreWeave..."
- Description: Heavily indebted hyperscaler anchoring large data center leases.
- Why mentioned: Data center debt tied to its leases trades in sympathy with its own bonds.
- Quotes: "Likewise, the yields on the debt of data centers contracted to Oracle have moved in sympathy with swings in the price of bonds issued by the heavily indebted hyperscaler itself."
- Description: AI lab behind Claude, now disclosing an IPO filing.
- Why mentioned: Best-documented case study of AI-driven productivity gains.
- Quotes: "Anthropic disclosed in its IPO filing this week that Claude wrote more than 90% of contributions to its codebase last month."
- Description: Big tech AI player.
- Why mentioned: Excitement over it (with Anthropic) helped rebuild confidence in the AI trade; also resisting ICE data demands.
- Quotes: "That calm — plus the excitement over Anthropic and Meta — has helped rebuild confidence in the AI trade that is supporting the stock market."
Edged Compute, Core Scientific, Applied Digital
- Description: Data center developer (Edged) and ex-bitcoin miners (Core Scientific, Applied Digital) financing CoreWeave-leased facilities.
- Why mentioned: Their bonds repriced in sympathy with CoreWeave.
- Quotes: "...bonds that are financing the development of data centers that CoreWeave has leased — including those issued by developer Edged Compute and ex-bitcoin miners Core Scientific and Applied Digital — also saw yields creeping higher."
Robert Half
- Description: Staffing firm.
- Why mentioned: CEO's candid view on the gap between individual and organizational AI productivity.
- Quotes: "'Translating individual productivity to organizational productivity — there's a lot of slip between cup and lip.'"
S&P Global
- Description: Financial data/ratings company.
- Why mentioned: Targets ~2% annual productivity gains but cannot isolate AI's contribution.
- Quotes: "S&P Global aims for roughly 2% in annual productivity gains, but it cannot isolate AI's contribution from other operational changes."
- Description: Search/ads and AI giant.
- Why mentioned: Missed revenue expectations on disappointing ad sales; pushing back on ICE data requests.
- Quotes: "Alphabet's ad sales disappointed, leading the company to miss on revenue expectations. (Bloomberg)" / "Google and Meta are pushing back on pressure from ICE for user data. (WSJ)"
Tomorrow Together / Workbench Strategy
- Description: Democratic group running the ad campaign / polling firm commissioned for the surveys.
- Why mentioned: Source of the AI-backlash polling and the $4 million campaign.
- Quotes: "The Democratic group Tomorrow Together plans to run ads calling out Republicans in swing districts..."
- Description: Bank whose high-yield analysts cover data center credit.
- Why mentioned: Provided the key analyst view on AI credit differentiation.
- Quotes: "Data center bonds 'are not immune to tenant default risk and can reprice quickly as that risk escalates.'"
4. People Identified
Keith Waddell
- Description: CEO of Robert Half.
- Why mentioned: Candid executive view on the limits of AI productivity at the organizational level.
- Quotes: "'We're not ignoring that there are productivity gains for our people, and we're getting some.'"
Eric Aboaf
- Description: CFO of S&P Global.
- Why mentioned: Explains why AI's productivity contribution is hard to isolate.
- Quotes: "'Some of that is directly AI. Some of that is non-AI. Most of it is actually mixed and integrated.'"
Sen. Ted Cruz (R-Texas)
- Description: Chief sponsor of the AI moratorium.
- Why mentioned: Even he voted to strip the provision, illustrating the scale of the backlash.
- Quotes: "...the Senate voted 99-1 to strip the moratorium from the package, including its chief sponsor, Sen. Ted Cruz (R-Texas)."
Reps. Derrick Van Orden (Wis.), Juan Ciscomani (Ariz.), Rob Bresnahan (Pa.), Tom Barrett (Mich.)
- Description: GOP House incumbents targeted by the ad campaign.
- Why mentioned: Voted for the 2025 budget bill containing the AI moratorium.
- Quotes: "Republican Reps. Derrick Van Orden (Wis.), Juan Ciscomani (Ariz.), Rob Bresnahan (Pa.) and Tom Barrett (Mich.) all voted in favor of the budget bill that included the moratorium."
5. Operating Insights
Don't assume individual AI gains translate to firm-level gains
Measure productivity at the organizational level and expect friction converting personal efficiency into business outcomes.
"'Translating individual productivity to organizational productivity — there's a lot of slip between cup and lip.'"
Instrument your AI impact so you can separate it from other changes
S&P Global can't attribute gains cleanly, which makes ROI claims and budget justification harder.
"'Some of that is directly AI. Some of that is non-AI. Most of it is actually mixed and integrated.'"
Expect scrutiny of counterparty and tenant exposure if you build on AI infrastructure
For founders in AI infrastructure or data center businesses, your cost of capital may depend on your customers' credit, not just your own.
"Data center bonds 'are not immune to tenant default risk and can reprice quickly as that risk escalates.'"
6. Overlooked Insights
AI-built code at scale: the 45x engineer throughput figure
Beyond the headline 90% stat, the per-engineer output metric is a concrete benchmark of what AI-native engineering orgs may look like.
"The average daily volume of code contributed per engineer was more than 45 times its 2024 level, according to the prospectus."
Data center pressure points: utility costs as a regulatory vector
The polling highlights a specific, politically popular policy lever that could directly affect data center economics.
"The poll also found broad support for AI accountability measures, including making data centers cover utility costs, holding AI companies liable for harm and protecting consumers."