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Kevin Hassett's 4% growth forecast doubles the private-sector estimate
Kevin Hassett, the White House's top economic adviser, projected baseline US growth of about 4%, roughly double the 2% private forecasters expect. A company budgeting off official figures is using a forecast that rests on AI gains he says the statistics have not yet picked up.
The Investor · Invest desk

What happened
- The roughly 4% figure assumes no external shocks and sits a full point above the administration's own 3% growth target.
- Speaking at the Economic Club of New York on September 28, Hassett compared AI to the early internet era, when computing gains were hard to see in government data.
- His evidence is that AI-adopting firms report significant gains in sales, employment and wages compared with firms that have not adopted.
- According to a projection cited in Crypto Briefing's report, AI-related investment in the US would total $10.3 trillion between 2025 and 2032, or 3.63% of GDP a year on average.
- The administration aims to bring the deficit down to 3% of GDP by the end of President Trump's term.
Why it matters
- exposure The 3% deficit goal depends on the growth gap: eight years out on Hassett's path, the same dollar deficit is about 14% smaller as a share of output than on the private path.
- precedent With a senior official tying the deficit outlook to AI capital spending, Crypto Briefing expects continued policy support for data centers and semiconductors.
- constraint An undercounting claim is hard to disprove in the short term, so official data will not settle the 4% forecast quickly in either direction.
A two-point gap in annual growth looks small until it compounds. Over the eight years from 2025 through 2032, Hassett's 4% leaves the economy about 1.37 times its starting size, while the private 2% leaves it about 1.17 times [17]. The faster path ends roughly 17% larger [18].
National debt is above $40 trillion, about $15 trillion of it held externally [8]. Beyond growth, Hassett named two levers: budget savings from a smaller federal workforce, and private AI infrastructure spending that would lift output and, with it, tax receipts [10]. Crypto Briefing's account of the speech does not mention tax increases or entitlement changes.
In my view, the comparison of AI adopters with non-adopters [6] is the weakest part of the case. If the firms that adopt early were already expanding, the gap measures who adopts as well as what adoption does. The investment side is more concrete. Spread evenly, the $10.3 trillion projection [22] is about $1.29 trillion a year [20], and setting that at 3.63% of GDP implies average annual output of roughly $35 trillion over the period [21]. Hassett counted spending on data centers and semiconductors toward the administration's fiscal goals [7].
The statistics may be lagging real gains, as Hassett says they did in the early internet era, in which case later data closes some of the distance to 4% [5]. A second outcome is that the data-center build lifts output while it lasts and productivity settles nearer the private forecast. The third is the one Crypto Briefing says makes the fiscal math harder: gains concentrate in profits while hiring stalls, alongside federal workforce reductions [14]. Labor-force growth already appears to be slowing [23].
I think an operator setting a revenue plan or a hiring budget should use the private 2% and treat Hassett's 4% as the administration's stated case [16]. Economists generally project more conservative paths than the White House does, according to the report [12]. The counter-thesis has a precedent behind it. Crypto Briefing calls the internet-era comparison fair and the measurement argument plausible [13]. Hassett himself said external "force majeure" factors could knock the forecast off course [11]. The view is wrong if AI-adopting firms keep adding jobs and raising wages, the result Crypto Briefing says would strengthen his case considerably [14].
What to watch
- Whether private-sector forecasters move their roughly 2% growth estimates toward the White House's numbers.
- Whether reported AI-related capital spending keeps pace with the 2025-2032 investment projection Hassett's case points to.
- How far federal workforce reductions go, and whether the deficit-to-GDP ratio moves toward the 3% target.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence30
- Adoption
- Insufficient
- Hype gap+45
- Incentives65
- Confidence35
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
Kevin Hassett is director of the National Economic Council, the White House's top economic adviser.
- [2]
Hassett projected a baseline GDP growth rate of around 4%, assuming no external shocks.
- [3]
Hassett's roughly 4% projection beats the administration's own 3% growth target.
- [4]
Private-sector growth forecasts hover around 2%, roughly half of what Hassett sees.
- [5]
Speaking to the Economic Club of New York on September 28, 2026, Hassett argued AI's economic benefits may be larger than current statistics capture, comparing it to the early internet era, when gains from better computing were hard to see in government data.
- [6]
According to Hassett, companies that have adopted AI are seeing significant increases in sales, employment and wages compared with businesses that have not.
- [7]
Hassett pointed to capital spending in areas such as data centers and semiconductors as a contributor to the administration's fiscal goals.
- [8]
US national debt exceeds $40 trillion, with approximately $15 trillion of it held externally.
- [9]
The administration's stated aim is to bring the deficit-to-GDP ratio down to 3% by the end of President Trump's term, paired with a target of 3% sustainable GDP growth.
- [10]
Beyond AI-driven growth, Hassett sees two levers: shrinking the federal workforce to generate budget savings, and the private investment wave in AI infrastructure, which could lift output and tax receipts.
- [11]
Hassett acknowledged that external "force majeure" factors could knock the forecasts off course.
- [12]
Economists generally project more conservative growth paths than the White House does.
- [13]
The productivity-measurement argument is genuinely plausible and the internet era is a fair precedent, but an argument that benefits are real yet not visible in the data is difficult to disprove in the short term.
- [14]
If AI-adopting firms keep adding jobs and raising wages, Hassett's case strengthens considerably; if gains concentrate in profits while hiring stalls, the political and fiscal math gets harder, especially alongside federal workforce reductions.
- [15]
A senior economic official publicly tying the deficit outlook to AI investment suggests continued support for data centers, semiconductors and related infrastructure.
- [16]
Hassett's 4% baseline is about double the roughly 2% private-sector forecast, a gap of about 2 percentage points a year.
- [17]
Held for the eight years 2025 through 2032, 4% annual growth leaves the economy about 1.37 times its starting size and 2% leaves it about 1.17 times.
- [18]
After eight years, the 4% path ends with output roughly 17% larger than the 2% path.
- [19]
Eight years out, the same dollar deficit is about 14% smaller as a share of output on the 4% path than on the 2% path.
- [20]
The $10.3 trillion AI investment projection averages about $1.29 trillion a year over 2025 to 2032.
- [21]
At 3.63% of GDP, $1.29 trillion a year implies average annual US output of roughly $35 trillion over 2025 to 2032.
- [22]
One projection puts US AI-related investment from 2025 to 2032 at $10.3 trillion, an average of 3.63% of GDP annually.
- [23]
Labor force growth appears to be slowing.
Sources
1 independent publisher whose own reporting we read for this story.
- cryptobriefing.comKevin Hassett says AI’s economic payoff is bigger than the data shows
1 article · October 3, 2026
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