That's how AI moves from an operating expense to operating leverage.source
We expect subscription gross margin of 81%, reflecting more customers utilizing our hyperscaler partnerships as well as accelerating AI adoption.source
Q2 2026 Earnings Season
Across 566 companies that discussed artificial intelligence alongside profitability this reporting season, 107 put a specific, on-the-record claim behind it: that AI or automation is measurably improving their own margins. 56 attached a number to it. This is the complete picture — who said it, in their own words, and what happened to the stock afterward.
Flexreport Finance · Earnings calls held 2 July – 7 August 2026 · Prices through 7 August 2026
Overview
For two years, AI showed up on earnings calls as a revenue story or a capital-spending story. In the June quarter it showed up as a cost story — and not only at the technology companies that sell it.
The language changed. Management stopped describing AI as a capability they were building and started describing it as a line item that had already moved. Airbnb quantified customer-service cost per booking. Revolve traced 90 basis points of gross margin to a markdown algorithm. Maximus reported a 3.5-point operating margin improvement on the contracts where it deployed AI first. Calix booked an 810 basis point sequential improvement in software gross margin. These are realized results, not roadmaps.
The central finding. The phenomenon is far broader than the index. Of the 107 companies making a margin claim, 72 are not S&P 500 constituents — roughly two-thirds of the population. Coverage of the AI profit story concentrates on megacap technology, but the operators actually converting AI into margin this quarter are disproportionately mid-cap industrials, regional banks, staffing firms, consultancies and healthcare services businesses.
Not every mention of AI and margin in the same sentence describes the same thing, and conflating them overstates the case. This report separates them throughout.
AI or automation deployed internally, lowering the company's own cost base — headcount avoided, cycle times compressed, service costs cut. This is the mechanism the market has not yet priced consistently.
Margins helped by selling into the AI build-out — semiconductor test, power delivery, networking, interconnect. Real, but a demand cycle rather than an efficiency gain, and it carries different risks.
Companies explicitly flagging AI spend compressing margins today. A necessary counterweight: the same technology sits on both sides of the P&L depending on who is buying and who is building.
The arithmetic
Before taking management at its word, the reported numbers. Median margins for the June-2026 quarter against the same quarter a year earlier, across 2,005 covered US companies.
| Group | Companies | Gross margin | Δ y/y | Operating margin | Δ y/y | Net margin | Δ y/y |
|---|---|---|---|---|---|---|---|
| S&P 500 | 390 | 51.4% | +610 bp | 19.7% | +110 bp | 13.8% | +60 bp |
| Beyond the index | 1,615 | 48.2% | +215 bp | 10.2% | −90 bp | 6.9% | +70 bp |
Gross margin expanded almost everywhere. Operating margin mostly did not follow. S&P 500 companies added 610 basis points of gross margin and kept only 110 of it at the operating line — roughly five-sixths was absorbed by operating expense. Outside the index the arithmetic is starker: 215 basis points of gross margin gain became a 90 basis point operating margin decline.
That gap is the honest state of the AI margin trade at the aggregate level. The efficiency is real and it is visible in cost of goods, but for most companies the spending required to capture it is currently consuming more than it returns.
One cell of the table inverts the pattern. Technology companies outside the S&P 500 saw median gross margin fall 145 basis points while median operating margin rose 225 basis points and net margin rose 245. Their gains came entirely from below the gross line — research, sales and marketing, and general administration.
That is precisely where AI-driven cost reduction shows up: engineering throughput, support deflection, back-office automation. It is also the pattern the ledger below describes company by company — Remitly holding technology expense down 175 basis points as a share of revenue, BlackLine crediting internal AI use for 120 basis points of operating margin, Calix cutting operating expense from 45% of revenue to 42%. The aggregate data and the transcripts agree on where the effect lives.
But operating margin +225 bp and net margin +245 bp. The entire gain came from operating expense discipline, not from cost of goods. 211 companies.
The strongest large-cap operating improvement of any sector, alongside 1,030 basis points of gross margin. Consistent with the concentration of efficiency-ratio language on bank and insurer calls this season. 60 companies.
A reminder that sector economics still dominate. Utilisation and reimbursement pressure overwhelmed any efficiency gain, even at companies actively describing AI cost programmes. 51 companies.
Energy and utilities post the largest gross-margin swings in the underlying data — in the order of 1,100 to 2,400 basis points — but these are commodity price and rate-base effects with no bearing on the AI question, and are excluded from the interpretation above.
Distribution
Companies discussing AI alongside profitability this season, by sector. Technology leads on volume, but the combined weight of industrials, financials and healthcare is more than double it.
The concentration in industrials and financial services is the season's most under-discussed feature. These are not businesses with software gross margins or AI product lines to sell. They are labor-intensive operators applying automation to claims handling, underwriting, dock work, freight routing and back-office processing — the places where a few hundred basis points of cost is worth more than a new product.
Index breakdown
Splitting the 107 margin claims by index membership shows a story that is numerically dominated by companies outside the benchmark.
Includes Alphabet, Amazon, ServiceNow, IBM, Bank of America, Morgan Stanley, BlackRock, Aon, MetLife, Moody's, PayPal, State Street, Equifax, ADP, IQVIA, Centene, Becton Dickinson, Zimmer Biomet, Hilton, Airbnb, Mondelez, Freeport-McMoRan and GE Vernova. Large caps tend toward programme-level framing — enterprise-wide savings targets rather than a single quarter's basis points.
Mid-, small- and micro-cap operators: Calix, Maximus, Huron, CBIZ, Hackett Group, Grid Dynamics, LegalZoom, Xometry, Toast, Remitly, Zeta, Flywire, Compass, Customers Bancorp, Valley National, Hippo, LendingTree, Alerus, Tecnoglass, Interface, Reynolds, Revolve and Medifast among them. Smaller companies disclose more granularly — a single deployment, a single contract, a single basis-point figure.
A megacap absorbing AI savings into a $40 billion operating income line has little incentive to isolate the contribution, and considerable incentive not to — it invites questions about headcount. A $2 billion company that just took 810 basis points out of its software cost of goods will say so explicitly, because it is the most important thing that happened in the quarter. The result is that the best evidence for the AI margin thesis sits outside the index, in disclosures most market commentary never reaches.
Market reaction
Measuring each company from the close on its earnings-call date to 7 August 2026, against the S&P 500 over the identical window. Bars show mean excess return in percentage points; the right column counts how many names beat the index.
Saying it was not enough; quantifying it was worth roughly 1.69 points. Companies that attached a number to their AI margin claim returned -0.61pp against the index on average. Companies that made the same claim directionally, without a figure, returned -2.30pp. The market discriminated sharply between disclosure and assertion.
The broader picture is more sobering for the thesis: across all 107 companies the mean excess return was -1.42pp and only 43/107 outperformed. An AI margin claim, on its own, was not a reason to own the stock this quarter. The S&P 500 advanced over 106 of these 107 measurement windows, and the majority of companies making the claim did not keep pace with it.
Two readings are available and the evidence does not decisively settle between them. Either the market has correctly judged that most of these claims are immaterial to near-term earnings — plausible, given how many are framed as multi-year targets — or it is systematically underpricing a structural cost reset because the disclosures are scattered across hundreds of small-cap calls that no single analyst covers. The 1.69-point premium on quantified claims is mild evidence for the second reading: where the number was legible, it was rewarded.
Performance
All 107 companies citing an AI-driven margin, cost or productivity benefit, ranked by share-price return from the close on their earnings-call date through 7 August 2026. Excess return is the company's return less the S&P 500's over the same dates.
| # | Ticker | Company | Sector | Index | Call date | Close | 7 Aug | Return | vs S&P |
|---|---|---|---|---|---|---|---|---|---|
| 1 | NOW | ServiceNow, Inc. | Technology | S&P 500 | 2026-07-22 | 95.46 | 124.88 | +30.8% | +27.4 |
| 2 | MED | Medifast, Inc. | Consumer Cyclical | — | 2026-08-03 | 9.74 | 12.62 | +29.6% | +27.5 |
| 3 | HURN | Huron Consulting Group Inc. | Industrials | — | 2026-07-28 | 121.37 | 152.05 | +25.3% | +20.9 |
| 4 | SSNC | SS&C Technologies Holdings | Technology | — | 2026-07-23 | 66.95 | 79.23 | +18.3% | +13.6 |
| 5 | ABNB | Airbnb, Inc. | Consumer Cyclical | S&P 500 | 2026-08-06 | 151.64 | 178.07 | +17.4% | +16.8 |
| 6 | AMZN | Amazon.com, Inc. | Consumer Cyclical | S&P 500 | 2026-07-30 | 235.50 | 274.48 | +16.6% | +12.2 |
| 7 | CSL | Carlisle Companies Incorporated | Industrials | — | 2026-07-29 | 334.54 | 387.49 | +15.8% | +9.8 |
| 8 | IBM | International Business Machines | Technology | S&P 500 | 2026-07-22 | 205.77 | 237.28 | +15.3% | +11.9 |
| 9 | PTC | PTC Inc. | Technology | S&P 500 | 2026-07-29 | 132.46 | 147.71 | +11.5% | +5.5 |
| 10 | ZETA | Zeta Global Holdings Corp. | Technology | — | 2026-08-04 | 24.26 | 26.64 | +9.8% | +9.5 |
| 11 | FCX | Freeport-McMoRan Inc. | Basic Materials | S&P 500 | 2026-07-23 | 63.50 | 69.62 | +9.6% | +4.9 |
| 12 | MAN | ManpowerGroup Inc. | Industrials | — | 2026-07-16 | 51.65 | 56.60 | +9.6% | +6.6 |
| 13 | LBTYA | Liberty Global plc | Communication Services | — | 2026-07-24 | 9.69 | 10.55 | +8.9% | +4.2 |
| 14 | BLKB | Blackbaud, Inc. | Technology | — | 2026-07-29 | 42.18 | 45.87 | +8.8% | +2.7 |
| 15 | WEX | WEX Inc. | Technology | — | 2026-07-23 | 171.47 | 185.22 | +8.0% | +3.3 |
| 16 | ALKT | Alkami Technology, Inc. | Technology | — | 2026-07-29 | 18.33 | 19.73 | +7.6% | +1.6 |
| 17 | GDYN | Grid Dynamics Holdings, Inc. | Technology | — | 2026-07-30 | 7.06 | 7.58 | +7.4% | +3.1 |
| 18 | CUBI | Customers Bancorp, Inc. | Financial Services | — | 2026-07-24 | 76.52 | 82.07 | +7.2% | +2.6 |
| 19 | AZZ | AZZ Inc. | Industrials | — | 2026-07-09 | 140.90 | 150.92 | +7.1% | +4.3 |
| 20 | EFX | Equifax Inc. | Industrials | S&P 500 | 2026-07-21 | 173.00 | 182.56 | +5.5% | +2.2 |
| 21 | CERT | Certara, Inc. | Healthcare | — | 2026-08-04 | 7.80 | 8.20 | +5.1% | +4.9 |
| 22 | RJF | Raymond James Financial, Inc. | Financial Services | S&P 500 | 2026-07-22 | 168.01 | 176.56 | +5.1% | +1.6 |
| 23 | ACI | Albertsons Companies, Inc. | Consumer Defensive | — | 2026-07-23 | 11.44 | 12.01 | +5.0% | +0.3 |
| 24 | PCTY | Paylocity Holding Corporation | Technology | — | 2026-08-04 | 143.32 | 150.42 | +5.0% | +4.7 |
| 25 | COMP | Compass, Inc. | Technology | — | 2026-08-04 | 12.00 | 12.58 | +4.8% | +4.6 |
| 26 | EPAM | EPAM Systems, Inc. | Technology | S&P 500 | 2026-08-06 | 93.07 | 97.43 | +4.7% | +4.1 |
| 27 | SNDR | Schneider National, Inc. | Industrials | — | 2026-07-30 | 34.14 | 35.63 | +4.4% | +0.1 |
| 28 | BAC | Bank of America Corporation | Financial Services | S&P 500 | 2026-07-14 | 60.62 | 63.17 | +4.2% | +1.4 |
| 29 | RITM | Rithm Capital Corp. | Real Estate | — | 2026-07-28 | 9.78 | 10.19 | +4.2% | -0.2 |
| 30 | PAR | PAR Technology Corporation | Technology | — | 2026-08-06 | 17.12 | 17.81 | +4.0% | +3.4 |
| 31 | BLK | BlackRock, Inc. | Financial Services | S&P 500 | 2026-07-15 | 1,093.40 | 1,136.39 | +3.9% | +1.5 |
| 32 | GEN | Gen Digital Inc. | Technology | S&P 500 | 2026-08-06 | 28.10 | 29.17 | +3.8% | +3.2 |
| 33 | GOOGL | Alphabet Inc. | Communication Services | S&P 500 | 2026-07-22 | 342.09 | 354.30 | +3.6% | +0.1 |
| 34 | REYN | Reynolds Consumer Products Inc. | Consumer Cyclical | — | 2026-07-29 | 25.70 | 26.52 | +3.2% | -2.8 |
| 35 | CTSH | Cognizant Technology Solutions | Technology | S&P 500 | 2026-07-29 | 55.97 | 57.67 | +3.0% | -3.0 |
| 36 | FLYW | Flywire Corporation | Technology | — | 2026-08-04 | 17.26 | 17.78 | +3.0% | +2.7 |
| 37 | CNC | Centene Corporation | Healthcare | S&P 500 | 2026-07-28 | 63.91 | 65.77 | +2.9% | -1.5 |
| 38 | WTW | Willis Towers Watson | Financial Services | S&P 500 | 2026-07-30 | 336.05 | 344.82 | +2.6% | -1.7 |
| 39 | HIPO | Hippo Holdings Inc. | Financial Services | — | 2026-07-30 | 31.88 | 32.62 | +2.3% | -2.0 |
| 40 | HCKT | The Hackett Group, Inc. | Technology | — | 2026-08-04 | 11.29 | 11.53 | +2.1% | +1.9 |
| 41 | PRVA | Privia Health Group, Inc. | Healthcare | — | 2026-08-06 | 22.00 | 22.45 | +2.0% | +1.4 |
| 42 | TOST | Toast, Inc. | Technology | — | 2026-08-04 | 33.81 | 34.48 | +2.0% | +1.7 |
| 43 | USFD | US Foods Holding Corp. | Consumer Defensive | — | 2026-08-06 | 106.97 | 108.88 | +1.8% | +1.2 |
| 44 | XPO | XPO Logistics, Inc. | Industrials | — | 2026-07-30 | 199.26 | 202.58 | +1.7% | -2.6 |
| 45 | XMTR | Xometry, Inc. | Industrials | — | 2026-08-04 | 91.66 | 93.15 | +1.6% | +1.4 |
| 46 | AX | Axos Financial, Inc. | Financial Services | — | 2026-07-30 | 98.48 | 100.04 | +1.6% | -2.7 |
| 47 | MMS | Maximus, Inc. | Industrials | — | 2026-08-06 | 58.33 | 59.19 | +1.5% | +0.9 |
| 48 | RELY | Remitly Global, Inc. | Technology | — | 2026-08-05 | 24.07 | 24.42 | +1.4% | +1.0 |
| 49 | CALX | Calix, Inc. | Technology | — | 2026-07-21 | 37.47 | 37.98 | +1.4% | -1.9 |
| 50 | TRNS | Transcat, Inc. | Industrials | — | 2026-08-04 | 91.89 | 93.11 | +1.3% | +1.1 |
| 51 | PYPL | PayPal Holdings, Inc. | Financial Services | S&P 500 | 2026-07-28 | 58.32 | 59.07 | +1.3% | -3.1 |
| 52 | GXO | GXO Logistics, Inc. | Industrials | — | 2026-08-05 | 47.62 | 48.23 | +1.3% | +0.8 |
| 53 | KD | Kyndryl Holdings, Inc. | Technology | — | 2026-08-05 | 13.90 | 14.02 | +0.9% | +0.4 |
| 54 | VLY | Valley National Bancorp | Financial Services | — | 2026-07-23 | 14.45 | 14.55 | +0.7% | -4.0 |
| 55 | GEV | GE Vernova Inc. | Utilities | S&P 500 | 2026-07-22 | 985.03 | 990.32 | +0.5% | -2.9 |
| 56 | MDLZ | Mondelez International, Inc. | Consumer Defensive | S&P 500 | 2026-07-28 | 62.48 | 62.61 | +0.2% | -4.2 |
| 57 | NSIT | Insight Enterprises, Inc. | Technology | — | 2026-08-06 | 149.19 | 149.32 | +0.1% | -0.5 |
| 58 | TPG | TPG Inc. | Financial Services | — | 2026-08-04 | 48.98 | 48.99 | +0.0% | -0.2 |
| 59 | TILE | Interface, Inc. | Consumer Cyclical | — | 2026-08-07 | 38.29 | 38.29 | +0.0% | +0.0 |
| 60 | SIGI | Selective Insurance Group, Inc. | Financial Services | — | 2026-07-24 | 96.33 | 96.23 | -0.1% | -4.8 |
| 61 | BDX | Becton, Dickinson and Company | Healthcare | S&P 500 | 2026-08-06 | 177.07 | 176.86 | -0.1% | -0.7 |
| 62 | IRTC | iRhythm Technologies, Inc. | Healthcare | — | 2026-08-06 | 128.12 | 127.84 | -0.2% | -0.8 |
| 63 | CSGP | CoStar Group, Inc. | Real Estate | S&P 500 | 2026-07-28 | 30.33 | 30.24 | -0.3% | -4.7 |
| 64 | STT | State Street Corporation | Financial Services | S&P 500 | 2026-07-16 | 185.66 | 184.68 | -0.5% | -3.5 |
| 65 | PZZA | Papa John's International, Inc. | Consumer Cyclical | — | 2026-08-06 | 24.64 | 24.47 | -0.7% | -1.3 |
| 66 | NI | NiSource Inc. | Utilities | S&P 500 | 2026-08-05 | 42.91 | 42.61 | -0.7% | -1.1 |
| 67 | CBZ | CBIZ, Inc. | Industrials | — | 2026-07-29 | 54.90 | 54.50 | -0.7% | -6.8 |
| 68 | TGLS | Tecnoglass Inc. | Basic Materials | — | 2026-08-06 | 44.47 | 44.14 | -0.7% | -1.4 |
| 69 | ADP | Automatic Data Processing, Inc. | Industrials | S&P 500 | 2026-07-29 | 273.37 | 271.32 | -0.8% | -6.8 |
| 70 | AFG | American Financial Group, Inc. | Financial Services | — | 2026-08-05 | 146.73 | 145.59 | -0.8% | -1.2 |
| 71 | TEAD | Teads Holding Co. | Technology | — | 2026-08-06 | 0.70 | 0.69 | -0.8% | -1.5 |
| 72 | ALRS | Alerus Financial Corporation | Financial Services | — | 2026-07-30 | 33.56 | 33.23 | -1.0% | -5.3 |
| 73 | BR | Broadridge Financial Solutions | Technology | S&P 500 | 2026-08-04 | 168.41 | 166.50 | -1.1% | -1.4 |
| 74 | WAY | Waystar Holding Corp. | Technology | — | 2026-07-29 | 24.52 | 24.23 | -1.2% | -7.2 |
| 75 | HLT | Hilton Worldwide Holdings Inc. | Consumer Cyclical | S&P 500 | 2026-07-28 | 322.43 | 317.60 | -1.5% | -5.9 |
| 76 | ZBH | Zimmer Biomet Holdings, Inc. | Healthcare | S&P 500 | 2026-08-05 | 98.16 | 96.55 | -1.6% | -2.1 |
| 77 | FRSH | Freshworks Inc. | Technology | — | 2026-08-04 | 12.04 | 11.84 | -1.7% | -1.9 |
| 78 | IQV | IQVIA Holdings Inc. | Healthcare | S&P 500 | 2026-07-28 | 242.94 | 238.70 | -1.8% | -6.2 |
| 79 | WRBY | Warby Parker Inc. | Healthcare | — | 2026-08-06 | 26.96 | 26.46 | -1.9% | -2.5 |
| 80 | MET | MetLife, Inc. | Financial Services | S&P 500 | 2026-08-06 | 99.95 | 97.77 | -2.2% | -2.8 |
| 81 | MCO | Moody's Corporation | Financial Services | S&P 500 | 2026-07-22 | 489.70 | 477.75 | -2.4% | -5.9 |
| 82 | KELYA | Kelly Services, Inc. | Industrials | — | 2026-08-06 | 15.62 | 15.19 | -2.8% | -3.4 |
| 83 | WHR | Whirlpool Corporation | Consumer Cyclical | — | 2026-08-04 | 44.62 | 43.28 | -3.0% | -3.3 |
| 84 | SHLS | Shoals Technologies Group, Inc. | Energy | — | 2026-08-04 | 9.22 | 8.93 | -3.1% | -3.4 |
| 85 | DUOL | Duolingo, Inc. | Technology | — | 2026-08-05 | 135.32 | 130.90 | -3.3% | -3.7 |
| 86 | CPNG | Coupang, Inc. | Consumer Cyclical | — | 2026-08-04 | 16.78 | 16.23 | -3.3% | -3.5 |
| 87 | FIS | Fidelity National Information Services | Technology | S&P 500 | 2026-08-04 | 44.26 | 42.77 | -3.4% | -3.6 |
| 88 | FNF | Fidelity National Financial, Inc. | Financial Services | — | 2026-08-06 | 52.54 | 50.18 | -4.5% | -5.1 |
| 89 | DORM | Dorman Products, Inc. | Consumer Cyclical | — | 2026-08-04 | 147.80 | 140.91 | -4.7% | -4.9 |
| 90 | IRM | Iron Mountain Incorporated | Real Estate | S&P 500 | 2026-08-05 | 127.13 | 121.15 | -4.7% | -5.2 |
| 91 | AON | Aon plc | Financial Services | S&P 500 | 2026-07-29 | 377.16 | 358.30 | -5.0% | -11.0 |
| 92 | RMD | ResMed Inc. | Healthcare | S&P 500 | 2026-08-06 | 223.24 | 211.94 | -5.1% | -5.7 |
| 93 | MS | Morgan Stanley | Financial Services | S&P 500 | 2026-07-15 | 228.55 | 216.33 | -5.3% | -7.8 |
| 94 | ADNT | Adient plc | Consumer Cyclical | — | 2026-08-05 | 20.52 | 19.42 | -5.4% | -5.8 |
| 95 | VPG | Vishay Precision Group, Inc. | Technology | — | 2026-08-05 | 73.56 | 68.59 | -6.8% | -7.2 |
| 96 | PINS | Pinterest, Inc. | Communication Services | — | 2026-08-04 | 25.58 | 23.68 | -7.4% | -7.7 |
| 97 | RVLV | Revolve Group, Inc. | Consumer Cyclical | — | 2026-08-04 | 26.37 | 24.27 | -8.0% | -8.2 |
| 98 | SMG | The Scotts Miracle-Gro Company | Basic Materials | — | 2026-07-29 | 70.33 | 62.91 | -10.6% | -16.6 |
| 99 | BL | BlackLine, Inc. | Technology | — | 2026-08-04 | 33.12 | 29.55 | -10.8% | -11.1 |
| 100 | VERX | Vertex, Inc. | Technology | — | 2026-08-03 | 13.40 | 11.94 | -10.9% | -13.0 |
| 101 | TTGT | TechTarget, Inc. | Communication Services | — | 2026-08-06 | 4.31 | 3.84 | -10.9% | -11.5 |
| 102 | ALIT | Alight, Inc. | Technology | — | 2026-08-04 | 17.18 | 15.12 | -12.0% | -12.3 |
| 103 | HUBS | HubSpot, Inc. | Technology | — | 2026-08-05 | 250.21 | 210.45 | -15.9% | -16.3 |
| 104 | TREE | LendingTree, Inc. | Financial Services | — | 2026-07-29 | 39.46 | 32.13 | -18.6% | -24.6 |
| 105 | ALHC | Alignment Healthcare, Inc. | Healthcare | — | 2026-07-30 | 18.61 | 14.37 | -22.8% | -27.1 |
| 106 | HCAT | Health Catalyst, Inc. | Healthcare | — | 2026-08-06 | 2.31 | 1.73 | -25.1% | -25.7 |
| 107 | LZ | LegalZoom.com, Inc. | Industrials | — | 2026-08-05 | 8.10 | 5.77 | -28.8% | -29.2 |
The evidence
Every company crediting AI or automation with a margin, cost or productivity benefit, in verbatim quotation from the Q2 2026 call. Filter by index membership, disclosure quality or sector.
That's how AI moves from an operating expense to operating leverage.source
We expect subscription gross margin of 81%, reflecting more customers utilizing our hyperscaler partnerships as well as accelerating AI adoption.source
The Catalyst program is designed to drive additional cost savings through facility rationalization, AI-related efficiencies, and other means, all while being certain we do not negatively impact our ability to grow.source
We're confident that our collective strategic, financial, operational and digital offerings, all enabled by AI will continue to yield positive revenue growth and margin expansion as evidenced by our continued strong backlog and pipeline.source
In addition, we've built a multiyear track record of expanding our margins by executing against multiple operating leverage inclusive of AI.source
We're deploying AI across our products and operations, and it is one of the drivers of the growth and margin expansion you see in these results.source
The customer service cost per booking is down about 16% year-over-year, in large part due to the AI agent. Second, what we're seeing is that we don't need to grow our head count at levels that we did in the past because we're getting so much more output and speed from our existing workforce, which obviously, also creates efficiencies over time.source
I would note that, yes, we are expanding margins while absorbing that increased cost.source
We see the margins and returns in AI tracking what we saw with Core at the same point of evolution, actually a little ahead.source
AWS operating income was $16.6 billion, which reflects our strong growth, coupled with our focus on driving efficiencies across the business.source
Driving more efficiency, more automation, things like that to drive margin.source
These include leveraging AI to improve software development productivity, increasing the effectiveness of our sales and marketing organization and accelerating our supply chain.source
These actions include deploying AI and automation at greater scale across the company, reducing third-party spend, improving sales and marketing efficiency, using AI to drive more efficient software development, optimizing our supply chain and enhancing services delivery.source
The customer validated the approach through a pilot with service technicians showing that ServiceMax AI can reduce technician preparation time by 50% and deliver 4% net productivity improvement across the service workforce.source
With tailwinds from AI adoption, higher sales productivity, and strong operating leverage, we are once again raising our top and bottom line guidance for the third quarter and full year.source
We have got Corey talked about some of the work we are doing on automation and technology improvements. To improve our basic mining practices, build more efficiency, the Leach initiative with scale, will go a long way to helping us because that is lower much lower cost.source
This includes sequencing the global rollout of the cost transformation program and deliver our $200 million cost target on schedule, continuing to redesign our front-office sales and recruitment processes to enhance productivity, and leveraging AI to create sustainable commercial opportunities to accelerate growth.source
And Lutz and the team are well underway with their AI driven efficiency and growth programs.source
Looking at the levers for additional margin expansion through 2030, vendor optimization, AI and other efficiency gains are included on that list.source
Looking ahead to the second half, we are going to continue to tackle parts of the business that would benefit most from automation. We are committed to delivering more than 100 basis points of macro neutral margin expansion in the back half of the year as part of our plan to deliver 75 basis points for the full year.source
And so we continue to believe that there are ways that we can use AI to create margin expansion across the enterprise.source
For the year, we expect approximately 500 basis points of margin expansion, driven by operating leverage and cost discipline, achieved while we continue to fund targeted investments in product innovation and AI.source
Growing top accounts relationships, continued AI momentum with expanded capabilities in robotic and physical AI, and solid progress toward our 300 basis point margin expansion commitment.source
In risk and compliance, we are leveraging AI powered KYC screening, which allows our team to boost their productivity by 50%.source
Our engineers have architected a multi-agentic credit underwriting process that can allow us to be ready to close commercial loans in 7 days or less versus industry norms of 30 to 60 days... that is an 85% reduction in readiness to close.source
These digital capabilities are not just operational tools, they are at-scale, strategic assets that strengthen customer relationships improve execution and are forming the basis for utilizing AI to improve customer intimacy, fine tune pricing decisions and support operating efficiency improvements and sustainability.source
The strong EBITDA margins were driven by operating leverage and AI-driven cost productivity, principally in operations.source
As we continue to rapidly drive roll-outs and adoption of AI tools and agents that are delivering meaningful process improvement, we now expect run rate spending savings from these AI for EFX efforts to be about $150 million from 2026-2028, which is double the $75 million of savings we discussed with you in February.source
As an example, CoAuthor, which has been used in more than 400 regulatory submissions, now provides nearly 600 AI agents, driving 40% productivity increase in drafting quality control documents and over 90% accuracy summarizing complex databases.source
Let me highlight 3 examples from the quarter to illustrate how AI is helping us drive revenue growth and margin efficiencies.source
To support that, we'll continue investing in automation, process improvement and AI as part of our more than $1.1 billion annual technology spend. These investments are designed to create efficiencies, give advisers more time to deepen client relationships and further enhance the client experience.source
Our 4 enterprise AI priorities are focused on the areas where we see the greatest opportunity to drive growth, improve execution and expand margins.source
In merchandising intelligence, we're implying AI to improve category planning, promotions, vendor collaboration and margin management.source
One is natural scale as the business gets larger, as we continue to drive automation and leverage AI across those teams, we are seeing those benefits today, and I think we're still in the very early stages. So when you combine natural scale pricing power... and then you layer on the AI and automation, I think that gives us the confidence that on a multi-year basis, the 80% plus increased gross margin target we have is the right one.source
Now shifting to our AI strategy, where we are moving on offense in two ways: one, reducing OpEx; and two, increasing agent productivity.source
Additionally, across the technology organization, 50% to 60% of all new code is now produced by AI, which is helping us ship code faster and more efficiently.source
Non-GAAP gross margin for the quarter was 32% compared to 30.1% for the same period a year ago, demonstrating our ability to improve profitability while continuing to invest in our AI capabilities and grow our AI native revenues.source
We've been working on developing AI, especially in this area. Those tech investments have resulted in our frontline productivity improving 17% year-over-year in the second quarter, which is also enabling great results here.source
Revenue management actions were amplified by productivity initiatives, especially those supported by our ongoing technology investment and leadership in agentic AI solutions.source
Third, we manage cost while we continue to invest in a franchise, our brand, our people, our technology, and our AI-enabled productivity.source
So I think you're going to see improvements in technology, not only just on the servicing side, but also on the origination side, which is going to -- which when you think from an expense standpoint... the ability to capture a significant amount of efficiency and expense there through AI and technology is going to be pretty great for us.source
100% of our full-time employees are enabled on and using AI tooling, and we have recorded $14.9 million per year of estimated time savings and workflow optimization across our team in functions, including sales, support, customer success, product implementation, finance and engineering.source
We see the totality of our 2030 strategy as structurally engineering higher growth and margin through both faster revenue growth, higher fee rates on flows, efficient use of technology automation to create more scale and operating leverage.source
Creative piloting in key media channels is showing 25% efficiency improvement with our ability to create twice the number of assets with AI.source
And just like AI Overviews, AI mode is driving an incremental increase in search queries overall, and we are now sending billions of clicks to websites every week through AI features in Search. As we serve more of these queries, we have continued to drive efficiencies.source
Google Services operating income increased 20% to $39.5 billion and operating margin was 41.8%.source
Productivity gains from lean deployment and automation are expanding margins and the savings they generate help fund reinvestment back into the business.source
We are now over 12 months into executing against our automation pipeline, and this is also contributing to our improved profitability.source
We signed a major engagement with a leading insurance brokerage committing to more than 50% productivity improvement over five years through AI and operations operating model redesign.source
So as long as we stay ahead on AI-led productivity software engineering and business process operations, and we keep staying ahead of it we can pass on the productivity, stay competitive in the market, and still be margin accretive for ourselves.source
Investments in consolidating platforms, scaling data, AI, systems and automation are already boosting engineering and sales output, letting us streamline R&D, optimize sales and marketing, and redeploy savings into growth priorities and AI-enabling architecture. Even through this planned peak investment period, we have contained OpEx growth, and we are now targeting approximately 25% adjusted EBITDA margin by 2027.source
And our digital transformation is rearchitecting our internal operating system so that our people and AI agents can seamlessly work side by side to structurally lower our cost to scale.source
These actions, including further digitization, more ubiquitous use of technology and AI, and improvements in the customer experience alongside operational efficiencies, should help us not just adapt to volume changes in our business but also drive margin restoration over the next few years.source
With the latest significant AI advancements, we intend to create a step change in performance. We expect to capture efficiencies and generate approximately $400 million in run rate savings through an investment of approximately $625 million, reflecting a disciplined cash-cost-to-achieve ratio of about 1.6x.source
The roughly $400 million in savings will be driven primarily by process automation and by redeploying capacity from administrative work to client-facing work.source
As Rick mentioned previously, we believe that our continued focus on operating leverage through AI enables us to grow our business while keeping fixed expense largely flat, which in turn has helped driving the expense ratio improvement.source
They allow us to leverage and deploy AI-enabled acceleration and enhanced value realization to our clients which utilize our primary offerings and generate over 90% of our current lead flow. This is strengthening our ability to compete and realize higher gross margins.source
We expect sequential revenues, along with gross margins to improve due to the impact of the increasing number of new projects benefiting from value delivered and productivity enhancements from the transition to our AI delivery platforms as well as headcount actions taken to reflect productivity improvements.source
We are continuing our journey to deploy AI applications in various workflows across the organization and expect to continue to expand our EBITDA margin towards the high end of our long-term target range of 30% to 35% of care margin over the next few years.source
SaaS gross margins were up approximately 240 basis points year-over-year from ongoing optimization efforts, including leveraging AI to transform customer support.source
Across the business, our teams are applying a continuous improvement mindset while leveraging investments in technology, including artificial intelligence to raise customer service levels, improve productivity and create a stronger foundation for sustainable long-term growth.source
This application uses AI to assess images of freight placed inside the trailers and provide our dock workers with actionable feedback in real time. In the second quarter, at the pilot sites, load quality improved by more than 40%, while damages were reduced by 50%, contributing to both service quality and operating efficiency.source
I think the continued gross margin expansion into our target range of 35% to 40%, that is indeed driven by our confidence in the AI models and the continuous improvement that we are seeing them drive not just on one metric, but across the board.source
We believe we will see benefits in our operating efficiency from the implementation of artificial intelligence across the organization and believe that its implementation will enable us to create greater operating leverage and improve the speed, quality, and cost of software development projects and accelerate new product delivery.source
AI-based improvements to core business processes such as IVR and script optimization, chatbot enhancement and proactive text and e-mail engagement in just 5 contracts yielded a better customer experience and a 3.5% operating margin improvement for that group.source
Technology and development expense were $55.5 million and as a percentage of revenue was 11.2%, improving 175 basis points year over year and reflecting the benefits of embedding Agentic AI into our engineering and product team. Despite a modest increase in AI related spend, the benefits of AI related labor productivity have outweighed the direct AI spend.source
AI driven productivity has allowed us to hold headcount below plan, as I reoriented the company towards speed and tested our growth bets.source
As such, having garnered the corresponding cost reduction and when combined with the agentic platform-driven demand, we yielded an 810 basis point sequential improvement in non-GAAP software and service gross margin.source
Non-GAAP operating expenses were approximately $122 million or 42% of revenue, down from 45% in the prior quarter, reflecting both leverage in our growth model and early productivity gains from our human-centric AI investments.source
By continuously improving our customer-facing business processes, applying proven lean operating principles, optimizing business mix and pricing, and using technology and AI to improve productivity and customer solutions, we can create repeatable levers to expand margins and to support sustained growth.source
We have decreased end-to-end production time embedding AI within the full software delivery cycle, and we have prioritized geographies for investment and identified specific rationalization opportunities. We are on track to achieve at least $1.5 billion in gross run rate cost savings over the next 2 to 3 years.source
With commercial activity increasing, operational momentum building and AI and automation scaling across our network, we're well positioned to drive growth and expand margins through the balance of 2026 and beyond.source
In all 3 examples, our AI-led modernization approach is accelerating transformation timeline and improving efficiency, strengthening the resilience of their mission-critical technology environments.source
From a macro perspective, we believe that banks can effectively adopt AI have the potential to structurally shift their efficiency ratios lower by around 500 basis points.source
When we think about how much or what the composition of that 500 basis points is going to be, in my mind, it's more along the efficiency ratio, but it's really driven probably around 65% coming from expenses and around 35% coming from revenue.source
We continue to expect full-year 2026 corporate costs to be between $450 million-$500 million as we continue investing in AI, robotics, and automation to drive productivity over the medium and long term.source
In early July, we completed an acquisition of Robotech Automation, a specialized team of engineers that can accelerate deployment of robotics and automation across GEV. This is a small transaction, but one that can help us improve our productivity.source
Whether it is in the supply chain, or in AI enabled efficiency across the P&L.source
We built an AI-powered solution using OpenAI that transforms survey notes into structured findings and recommendations that fit seamlessly into existing workflows. As a result, the client is realizing more than $400,000 in annual productivity savings, reducing report preparation time from several hours to less than an hour.source
By operating as one global team, we can deliver the full breadth of Insight's capabilities to clients, deploying AI at scale internally, improve execution, accelerate decision-making and create greater operating leverage across the business.source
Additionally, we're underwriting significant AI-related growth and efficiency initiatives across the areas we invest in.source
We're continuing to invest in automation and robotics to improve efficiency and expand margins.source
Diversifying revenue and income within and across our 3 insurance segments and further leveraging data, analytics and technology including artificial intelligence, to drive operational efficiency, and improve underwriting and claim outcomes.source
And then you saw us announce AI and how AI can have a role in not only helping us on our gross margin side, but also on our cash flow side as we think about taking inventory down going forward.source
For gross margin, we expect that the combined company will remain above 70% gross margin by leveraging the scale, operational infrastructure, and AI capabilities we have built.source
Our focus on disciplined expense management, particularly in personnel and operating expenses as well as continued efficiency gains across the business, including early benefits from AI and other expense initiatives contributed to the increased profitability in Q2 2026.source
Supporting these growth drivers enhanced data capabilities, automation, and operating efficiency initiatives are expected to enhance execution and help to deliver approximately 100 basis points of enterprise margin expansion over the medium term.source
The result is meaningful efficiency gains from simplification automation, and AI enablement.source
This engine is sophisticated, multichannel, AI-powered tool that leverages a mix of national and local offers and delivers a higher degree of personalization. We believe that once fully deployed, this technology will allow us to better tailor communications and offers to our customers, drive incremental purchases from both new and lapsed customers, and preserve restaurant margins while offering customers compelling value in key moments.source
At the same time, we continue to advance operational improvements through AI-enabled efficiency and continuous improvement initiatives helping us work more effectively and strengthening execution across the business.source
For example, on the work we are performing in one of our [ attest ] services, for year 1, our AI-based data extraction workflow is producing 20% efficiency with our anticipation in subsequent years that this efficiency will grow to 40%.source
We believe that companies that successfully implement AI and automation will reap the benefit of significant efficiency gains with the savings following through to the bottom line, resulting in margin expansion.source
Our automation and efficiency program reduced headcount by 10% as of the end of June with additional automation expected to be operational by year-end, providing incremental headcount efficiency.source
We continue to be pleased with the productivity gains that we are realizing as a result of the investments we are making in AI, in service tools, and in product innovation.source
With continued healthy new business pipelines and increasing adoption of AI tools in our product set, service operations and sales, we enter fiscal 2027 confident in our ability to continue winning new deals and create operating efficiencies that will help drive adjusted EPS growth.source
I think where a lot of our AI focus has been is on submission automation, document intelligence, claims workflow automation, AI enabled recorded statements, which improves claims handling efficiency and customer experience through automated summarization and insights and broad deployment of AI tools across the organization today.source
And lastly, we are reorganizing our internal structure, centralizing teams and embedding AI tools to streamline processes, thereby reducing the cost base of this business. To sum up, we are actively addressing near-term headwinds... and capturing meaningful efficiencies across our operations through planned AI.source
...which we think is one of the areas that has the most opportunity in terms of AI, automation, scalability and all of which we believe results in improving margins and improving scalability in every one of our divisions.source
Finally, we're beginning to see real AI-driven productivity gains, including $25 million in fiscal '27 and we're just getting started.source
In May, we announced the rollout of our agentic AI partnership model, offering up to 30% day 1 operational cost reduction with additional savings over time.source
Some of those are AI operating leverage type initiatives that create improvement in gross margin, which I think you see show up in our P&L, also continued expansion of our adjusted EBITDA margin as noted in the quarter.source
Utilizing better process, AI, and a lot of other innovative thinking. And the combination of those things is, you know, somewhere between 75 and 100 basis points in margin for owners.source
Lastly, to drive long-term margin improvement, we're aggressively implementing AI, artificial intelligence, initiatives to address our operating expenses cost base.source
Our Copilot attach rate on larger deals exceeds 70%, our products allow customers to adapt to an agentic world quickly and achieve measurable IT efficiencies faster.source
It is here, and it is funding our investments in EX and AI. And we expect to sustain our GAAP profitability.source
And we said that AI is just another lever in that toolkit. So that drove about 90 basis points of operational margin expansion in the quarter.source
Customers are now served faster and better through our stores and AI-powered virtual try-on experiences and the cost savings are flowing into higher returning investments that support customer growth and margin expansion.source
Even as we integrate that business, we remain on target through rigorous expense management and productivity gains from AI and other technologies.source
When completed, the full program is expected to result in annualized savings of $300 million to $350 million. This program extension expands our ongoing transformation agenda driving further organizational health, capturing efficiencies from AI adoption across the enterprise, and creating additional capacity to reinvest in our highest-return growth opportunities.source
In the quarter, adjusted SG&A expenses decreased across all 3 segments as we continue to drive durable and sustainable efficiencies in our operating model through technology enhancements and process efficiencies, including leveraging AI.source
Of the $150 million target, we expect approximately $60 million in savings from our automation initiatives, $15 million from strategic sourcing, and $20 million from our targeted fixed cost actions in our corporate center.source
We've invested in automation and technology to drive productivity and support margin expansion over time.source
For gross margin, we now expect to end the year closer to 70% as compared to the 69% we initially expected as we drive more AI content into our products offset by AI cost savings.source
What we're basically saying is by going up about 1.5 points on that adjusted EBITDA margin, we are seeing AI cost savings that will give us a bit structurally a better margin.source
Our conviction of the drivers of our long-term margin expansion potential - operational efficiencies, supply chain optimization, continued investment in automation and technology, and the scaling of our margin-accretive categories and offerings remains firmly in place.source
In the servicing side of things, we have put in some agentic capabilities that allowed us to take our manual tickets down by 70% and our triage time down by 75%.source
I think margins should improve as we get better productivity out of technology, including AI.source
Looking forward, we remain focused on driving margin improvements through our supplier diversification, productivity and automation initiatives.source
...being that much more efficient in the way we go to work for our customers, and that can be leveraging AI that can just be more effective call-time response that drives incremental margin as well.source
The scale advantages created through ABS, including AI-enabled productivity improvements and disciplined expense management, continue to lower unit costs across our operations, while increasing our capacity to invest.source
We will leverage AI and technology to drive productivity, through all aspects of our business.source
Higher technology-driven spend relates to investments to support our infrastructure, AI-enabled efficiencies, and ongoing business growth.source
As we look to expand margins and drive margins higher, automation is going to be a key lever associated with that.source
As a reminder, these actions represent the first phase of our 3-year plan to deliver approximately $20 million of cost reductions through manufacturing footprint optimization, increased automation and procurement efficiencies across our global supply chain.source
Our early adoption of open source has enabled us to scale AI efficiently to serve our 640 million users while also expanding margins and generating significant free cash flow.source
...so those are the things that we've been doing to make sure that we've got not only the monetization, but the margin profile that we want from leveraging AI.source
Excluding the tariff refund, gross margin increased approximately 90 basis points year-over-year, fueled primarily by successful AI and data-driven recalibrations of our markdown algorithm.source
You can expect us to continue to invest in our superpowers and advance innovation and other growth initiatives while driving supply chain savings through automation, AI, and other efficiencies.source
Non-GAAP operating margin was 23.3%, up from 22.1% in the second quarter of last year, driven by disciplined execution and the operating leverage we are building across the business, including efficiency gains from our own use of AI in internal operations.source
In engineering, AI is now embedded across the development life cycle. Across the majority of our teams, our internal measurements indicate a 34% improvement in engineering efficiency with pull request merge rates increasing 30% from our January baseline.source
Our targets are supported by several factors: the size and quality of our pipeline, the launch of new products, partnerships and AI-enabled capabilities and the operating leverage we expect to see as revenue scales through the second half.source
At that point, we also expect AI to have created a real and tangible impact on margin expansion.source
Operating margins are expanding in 2026 even as we invest aggressively in AI innovation.source
This expansion reflects our continued disciplined approach to head count spend, partially offset by AI costs. GAAP operating margin was 5% in Q2 compared to a negative operating margin of 3% in the year ago period.source
Our OpEx held flat year-over-year, both AI-driven efficiency and just what I would call operational efficiency in general is converting growth into earnings.source
Adjusted SG&A as a percentage of revenue was 8.6% which improved 20 basis points year over year, and outperformed the midpoint of our implied guidance range by 40 basis points, even as we continue to invest in our automation and scalability initiatives.source
Beyond its potential to unlock efficiencies in our cost structure, AI represents a meaningful opportunity to further enhance our care model, and support providers.source
On the investment side, guidance reflects continued investment across several fronts, new products and the proprietary intelligence layer that they're built on, AI-driven automation and efficiency initiatives, continued build-out of our Ignite and interoperability platform and the migration efforts already underway.source
Adjusted EBITDA of $46 million came in above the high end of our guidance range, driven by a significant improvement in gross margin, as we leverage AI and automation to improve both the quality and efficiency with which we deliver our services to our customers.source
Our profitability outlook expects continued gross margin improvement focused expense management and the benefits of our evolving AI enabled operating model.source
No companies match this combination of filters.
Adjacent mechanism
A separate group, kept apart deliberately. For these companies AI is demand, not internal efficiency — margins rose on volume, mix and pricing into the build-out. Real, but cyclical in a way cost reduction is not.
These results reflect both continued onboarding of publishers and demand partners, particularly in Asia Pacific, and the performance of our AI powered optimization capabilities. Turning to profitability, non-GAAP gross margin was 49.4% in the quarter, up from 47.3% in the year-ago period.source
Strong earnings results continued in the second quarter, driven by robust AI-driven volume and favorable product mix. Gross margins for the quarter were 59.8% up 250 basis points year-over-year driven by strong Semi Test volume and product mix.source
In the last 3 quarters, we secured 13 contracts over $100 million with 10 involving advanced AI. With over 20 years in operational AI, we apply it to areas, including autonomous cyber, counter unmanned aircraft systems, electronic warfare and smart mobility, supporting revenue growth and margin expansion.source
Based on our robust funnel, we expect to again deliver triple-digit percent growth for orders from AI-enabled drug discovery in fiscal 2027. We expect gross margin above 52% for fiscal 2026 with a goal of margins of more than 60% as the business matures.source
We are fortunate to be a leading player in 2 large and fast-growing markets, AI data center and semiconductor. Second, we continue to improve gross margin and have line of sight to over 43%.source
Sales grew 37% year-on-year reflecting continued demand strength in our data center and networking end market driven by the requirements of AI. The company's adjusted EBITDA margin was 16.6% in the second quarter of 2026, up 160 basis points year-on-year and 90 basis points sequentially, largely reflecting positive mix impacts.source
We also saw increasing investment in the data center technologies that enable enterprise AI adoption, including compute, storage, networking, and security. Manufacturers continue to focus on automation, operational resilience, productivity improvement, and supply chain optimization despite ongoing geopolitical tariffs and cost pressures.source
Our results were above the midpoint of our guidance range as we delivered revenue of $1.6 billion, driven by increasing demand in AI data center. Non-GAAP gross margin expanded 80 basis points sequentially to 39.3%, while non-GAAP earnings per share increased to $0.74.source
Within this guide, our 2026 campus revenue goal is at least $1.25 billion and our AI fabrics goal is at least $3.5 billion. For gross margin, we are maintaining the range for the fiscal year of 62% to 64%, inclusive of mix and anticipated supply chain cost increases for memory and silicon.source
We are expanding our AI opportunities across a wide range of customer solutions, further diversifying our bid portfolio. This is reflected in more than $8 billion of margin accretive, new bids, we recently submitted that include V2X's AI solutions.source
More than half of new AI customers added year-to-date have core cloud attached. We believe this flywheel will drive higher margin and stickier services, further increasing our ARR per megawatt and differentiating us from bare metal Neoclouds.source
Taurus's revenue also grew strongly in Q2, driven by increased unit shipments across both AI and general-purpose compute platforms. Non-GAAP gross margins for the second quarter were 73.7%, above our guidance of 73%.source
This reflects our deliberate focus on the Americas as a growth region driven by AI infrastructure build outs and strength in the enterprise market. Non GAAP gross margin was 80.3%.source
Counterweight
Companies that told investors AI is costing them margin right now. Any honest account of the season includes these — the technology is an expense before it is a saving, and for some the crossover has not arrived.
Approximately 90% of AI expenses will focus on responding to increased demand for our clinical AI suite, this will be recognized in cost of revenue, and we expect gross margins to trend in the mid- to high 80% range throughout the year.source
We're proving you can still post best-in-class software margins while investing heavily in clinical AI.source
Importantly, in the quarter, core margins across our software segments were down a modest 10 basis points, which includes investment in our AI team.source
Non-GAAP adjusted SG&A and R&D expenses, both grew 11%, with the increase in SG&A driven by higher expenses for Modeyso and Ziihera first-line GEA, and to a lesser extent, by investments in key commercial capabilities and digital and AI.source
We delivered 45.9% for the quarter, down 750 basis points versus the prior year, primarily reflecting continued pressure within the capital equipment-oriented portions of the segment, including automated stores and cryogenic systems, where lower volume levels, unfavorable fixed cost absorption and quality remediation activities continue to impact profitability.source
Our updated non-GAAP operating income outlook represents a $12.5 million reduction at the midpoint, reflecting the revenue adjustment, as well as targeted R&D investment and higher infrastructure costs associated with AI-driven discovery, which is partially offset by additional operating efficiencies.source
We saw margin tailwinds from incremental revenues and hosting efficiency programs offsetting the increased use of compute, including higher AI and ML usage.source
The distinction that matters is whether a company is buying AI or building it. Buyers — the staffing firm, the insurer, the freight operator — see cost fall almost immediately because the technology substitutes directly for labor they already employ. Builders carry inference, training and infrastructure costs on their own P&L and recover them only as customers adopt. Doximity's framing captures it precisely: roughly 90% of its AI expense lands in cost of revenue, which is why its gross margin guidance sits below where the business otherwise would.
Method
Every earnings-call transcript with a call date between 2 July and 7 August 2026 was searched for passages where management discussed artificial intelligence, machine learning, automation, agentic AI or copilots in connection with profitability — gross, operating, EBITDA and net margin, cost savings, productivity, operating leverage, unit costs and headcount. That returned 1,554 passages across 566 companies.
Those passages were reduced to sentence-level claims and then read individually. A company enters the ledger only where a member of management — not an analyst asking a question — credits AI or automation with a specific margin, cost or productivity outcome. Passages where "automation" refers to a business segment name or a product line rather than to AI adoption were excluded, as were forward-looking aspirations with no stated mechanism.
Returns run from the closing price on each company's call date to the close on 7 August 2026, with the S&P 500 measured over identical dates. Companies reporting after the close will therefore include the subsequent earnings gap while those reporting pre-open will not, so the ranking is best read as a directional ordering rather than a precise event study. Index membership is taken from the constituent flag on the Flexreport reference table.