Goldman Sachs Updates AI Productivity Beneficiary Stock List, Adding Airbnb, Boeing and Others
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Goldman Sachs refreshed its AI-productivity beneficiary screen, adding Airbnb, Boeing, and eBay, yet noted that only 2% of S&P 500 companies have quantified AI's earnings impact — this list bets on structural potential, not proven profit.
How was this screen built?
Goldman screened Russell 1000 constituents on two metrics: labor costs as a share of revenue, and the share of compensation exposed to AI automation.
Companies must rank in the top 50% of their sector on both metrics and have discussed AI with productivity or efficiency on a Q1 or Q2 earnings call.
Firms already in Goldman's AI-infrastructure or AI-disruption-risk baskets were excluded. This means → the screen targets companies that use AI to cut costs, not companies that build AI.
Which names were added and which rank highest?
New additions include Airbnb (ABNB), Boeing (BA), and eBay (EBAY).
Top-ranked names also include CoStar Group (CSGP), Dollar Tree (DLTR), Axon Enterprise (AXON), and The Trade Desk (TTD).
The screen spans insurance brokerage, energy, defense, and consumer goods. In plain terms = Goldman sees AI-driven labor savings as sector-agnostic — the deciding factor is how large the labor-cost share is.
Are companies actually making money from AI?
Among S&P 500 constituents, 65% mentioned AI and 46% discussed it in a productivity context — yet only 11% quantified a specific use case, and just 2% quantified an earnings impact.
This means → the vast majority are still in the "we're using AI" narrative phase, with no visible payoff on the income statement.
Goldman itself acknowledged that screened companies discussed AI productivity initiatives but have not yet shown an observable earnings-improvement trajectory.
Where is the market's attention right now?
Investors are channeling more focus toward AI-infrastructure beneficiaries — chips, cloud, data centers — rather than these potential productivity plays.
This reflects a practical reality: the market is willing to pay a premium for the certain pick-and-shovel sellers, while still waiting on proof from the gold-diggers.
In plain terms = the screen reads more like a watchlist — when AI productivity gains shift from narrative to reported numbers remains the central question the market wants answered.
Content is for reference only, not financial advice.