What to Know About Trump's AI Deal

politico.com·Katherine Long, Peter Behr
View original article
0out of 100
Moderate — some persuasion patterns present

This article wants you to believe that major tech companies are tackling the energy cost problem caused by AI. It focuses on a voluntary 'ratepayer protection pledge,' presenting it as a positive step and relying heavily on statements from officials and the companies themselves to support its claims. While it mentions concerns about the pledge's voluntary nature, it doesn't explore enough why a non-binding agreement was chosen over stricter rules, making it seem like a sufficient solution even if it lacks strong evidence for its effectiveness.

FATE Analysis

Four dimensions of psychological manipulation: how content captures Focus, exploits Authority, triggers Tribal identity, and engineers Emotion.

Focus4/10Authority6/10Tribe3/10Emotion4/10
FFocus
0/10
AAuthority
0/10
TTribe
0/10
EEmotion
0/10

Focus signals

unprecedented framing
"Trump is running into the unprecedented scale of the AI data center boom"

This highlights the 'unprecedented scale' to suggest something extraordinary is happening that demands attention and implies new problems or solutions are required.

novelty spike
"What exactly is this pledge?"

This headline directly introduces a new and presumably important topic, using a question to draw the reader in and pique curiosity about the 'new' pledge.

Authority signals

expert appeal
"Michael Kratsios, director of the White House Office of Science and Technology Policy, told reporters Wednesday that the companies will also voluntarily negotiate utility rates in states where they build data centers."

Leverages the title and position of a White House official to lend credibility and weight to the statement about voluntary negotiations.

expert appeal
"The Electric Power Research Institute has estimated that data centers could require 9 percent to 17 percent of U.S. electric power by 2030, compared with a 4 to 5 percent share today."

Uses the estimation from a research institute to provide an authoritative, data-driven forecast, making the claim about power demand more persuasive.

credential leveraging
"Johns Hopkins University researcher Abe Silverman."

The academic affiliation of Johns Hopkins University is used to bolster the credibility of Abe Silverman's statements, implying expert knowledge.

institutional authority
"Michael Jacobs, senior manager for climate and energy at the Union of Concerned Scientists, has estimated that in seven of the 13 Eastern states served by the PJM Interconnection’s high-voltage network of power lines, ratepayers will be charged at least $3.1 billion for grid expansions serving data centers, based on PJM’s 2025 spending plan."

Leverages the institutional weight of the Union of Concerned Scientists and the specific data from PJM's spending plan to support the claim about costs to ratepayers.

expert appeal
"Ryan Wiser, senior scientist at the Energy Department’s Lawrence Berkeley National Laboratory"

The title 'senior scientist' and affiliation with a government energy lab provide authority to Wiser's blunt assessment of tech companies' ability to pay.

Tribe signals

us vs them
"Forcing ordinary customers to pay for tech giants’ power needs is “obviously immoral but also totally unpalatable politically,” Silverman said."

This quote creates a clear 'us vs. them' dynamic, pitting 'ordinary customers' against 'tech giants,' framed around a moral judgment to evoke a sense of shared grievance among the 'ordinary customers'.

identity weaponization
"Higher utility costs that hit American households could sour broader public support for an unbridled AI boom."

This suggests that the 'American households' identity is weaponized against the 'AI boom,' implying that supporting the AI boom comes at the cost of one's own community, potentially creating a tribal division around economic impact.

Emotion signals

fear engineering
"State and federal lawmakers on both sides of the aisle said they fear the effort won’t lead to meaningful change unless a judge can enforce it."

Explicitly states that lawmakers 'fear' a lack of meaningful change, aiming to transfer that fear of ineffectiveness or negative outcomes to the reader regarding the pledge's impact.

urgency
"The grid is stressed,” said Darryl Lawrence, the state consumer advocate in Pennsylvania. “Simply plugging in a very large hyperscaler data center that could be expected to use as much power as a medium-sized city or more is not in the best interest of reliability or the grid as a whole."

Words like 'stressed' and warnings about plugging in 'very large' data centers not being in the 'best interest of reliability' create a sense of urgency and concern about potential negative consequences for the grid.

moral superiority
"Forcing ordinary customers to pay for tech giants’ power needs is “obviously immoral but also totally unpalatable politically,” Silverman said."

The use of the word 'immoral' taps into a sense of moral outrage or indignation, suggesting that such a practice is ethically wrong and implying a moral high ground for those who oppose it.

Narrative Analysis (PCP)

How the article reshapes thinking: Perception (what beliefs are targeted), Context (what information is shifted or omitted), and Permission (what behavior is being encouraged).

What it wants you to believe

The article aims to instill the belief that tech companies, specifically those involved in AI and data centers, are proactively addressing concerns about energy consumption and cost burdens on consumers. It wants readers to perceive that a voluntary, industry-led solution, spurred by government engagement, can mitigate the negative impacts of the AI boom.

Context being shifted

The article shifts the context from a problem requiring mandatory regulation or robust governmental oversight to one where 'voluntary commitments' are presented as a viable, and perhaps even preferable, solution. It highlights the 'self-interested objectives' of the tech companies and the political imperative of restraining consumer costs, making the voluntary pledge appear as a pragmatic alignment of interests. The framing makes the agreement feel 'normal' for powerful corporations given political pressure, rather than questioning the sufficiency of such a voluntary approach.

What it omits

The article omits detailed comparisons with existing mandatory regulatory frameworks or alternative proposals (e.g., stricter legislation, utility rate reform) that could compel tech companies to bear infrastructure costs. While it notes the lack of enforcement and concerns from lawmakers, it doesn't extensively explore why a voluntary pledge was chosen over more binding mechanisms, or the historical efficacy of similar voluntary agreements in other sectors, which would provide a richer context for evaluating the pledge's likelihood of success. It also downplays the significant cost increases already being borne by ratepayers in some states, only listing amounts without deeper analysis of the systemic causes or alternative solutions.

Desired behavior

The reader is subtly nudged to adopt a stance of cautious optimism, acknowledging concerns about the voluntary nature but accepting that this pledge is a positive step. It encourages the reader to believe that the government is actively engaging with the industry to manage the situation and that tech companies are, to some extent, being responsible, reducing pressure for more aggressive regulatory demands or public outcry against the AI boom.

SMRP Pattern

Four manipulation maintenance tactics: Socializing the idea as normal, Minimizing concerns, Rationalizing with logic, and Projecting blame.

-
Socializing
-
Minimizing
-
Rationalizing
-
Projecting

Red Flags

High-severity indicators: silencing dissent, coordinated messaging, or weaponizing identity to shut down debate.

-
Silencing indicator
!
Controlled release (spokesperson test)

"'We’re incredibly proud of the thousands of jobs Meta data centers are creating across the country, while our investments in small business and workforce training programs ensure Americans have the skills needed for the jobs of tomorrow,' Meta President Dina Powell McCormick said in a statement. ... 'We are challenging these companies to think bigger when it comes to data center construction by identifying ways this infrastructure can drive down overall electricity costs, strengthen grid resilience and create more American jobs,' Kratsios said. ... 'These negotiations have been going on for months,' the senior White House official said. 'We’ve already seen things moving in this direction. This is, in a sense, formalizing and having all of the large developers formally commit to practices they’ve already been migrating towards, through cooperation with the administration.'"

-
Identity weaponization

Techniques Found(3)

Specific propaganda techniques identified using the SemEval-2023 academic taxonomy of 23 techniques across 6 categories.

Causal OversimplificationSimplification
"By having tech companies front these costs, Trump said Wednesday, Americans will avoid increased energy prices — and in fact, these prices could drop “very substantially.”"

This quote attributes the potential avoidance and substantial drop in energy prices solely to tech companies footing the bill for data center electricity needs, oversimplifying the complex factors that influence energy prices.

Exaggeration/MinimisationManipulative Wording
"these prices could drop “very substantially.”"

The phrase 'very substantially' exaggerates the potential impact of the pledge on energy prices, making it seem more significant than the nuances discussed later in the article suggest.

Loaded LanguageManipulative Wording
"Forcing ordinary customers to pay for tech giants’ power needs is “obviously immoral but also totally unpalatable politically,” Silverman said."

The phrase 'obviously immoral but also totally unpalatable politically' uses strong, emotionally charged language to frame the concept of ordinary customers subsidizing tech giants' power as inherently wrong and politically unacceptable, without further objective justification within the quote itself.

Share this analysis