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AI engineers are being deployed as consultants and getting paid $900 per hour

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AI engineers are being paid a premium to work as consultants to help large companies troubleshoot, adopt, and integrate AI with enterprise data—something traditional consultants may not be able to do.

PromptQL, an enterprise AI platform created by San Francisco-based developer tooling company Hasura, is doling out $900-per-hour wages to its engineers tasked with building and deploying AI agents to analyze internal company data using large language models (LLMs).

The price point reflects the “intuition” and technical skills needed to keep pace with a rapidly-changing technology, Tanmai Gopal, PromptQL’s cofounder and CEO, told Fortune

Gopal said the company hourly wage for AI engineers as consultants is “aligned with the going rate that you would see for AI engineers,” but that “it feels like we should be increasing that price even more,” as customers aren’t pushing back on the price PromptQL sets.

“MBA types… are very strategic thinkers, and they’re smart people, but they don’t have an intuition for what AI can do,” Gopal said.

Gopal declined to disclose any customers that have used PromptQL to integrate AI into their businesses, but says the list includes “the largest networking company” as well as top fast food, e-commerce, grocery and food delivery tech companies, and “one of the largest B2B companies.”

Oana Iordăchescu, founder of Deep Tech Recruitment, a boutique agency focused on AI, quantum, and frontier tech talent, told Fortune enterprises and startups are competing for senior AI engineers at “unprecedented rates,” and which is leading to wage inflation.

Iordăchescu said the wages are priced “far above even Big Four consulting partners,” who often make around $400 to $600 per hour.

“Traditional management consultants can design AI strategies, but most lack the hands-on technical expertise to debug models, build pipelines, or integrate systems into legacy infrastructure,” Iordăchescu said. “AI engineers working as consultants bridge that gap. They don’t just advise, they execute.”

AI consultant Rob Howard told Fortune he wasn’t surprised at “mind-blowing numbers” like a $900-per-hour wage for AI consulting work, as he’s seen a price premium on projects that have an AI component while companies rush to adopt it into their businesses.

Howard, who is also the CEO Innovating with AI, a program to teach people to become AI consultants in their own right, said some students of his have sold AI trainings or two-day boot camps that net out to $400 or $500 per hour.

“The pricing for this is high in general across the market, because it’s in demand and new and relatively rare to find, you know, people who are qualified to do it,” Howard said.

A recent report published by MIT’s NANDA initiative, revealed that while generative AI holds promise for enterprises, 95% of initiatives to drive rapid revenue growth failed. Aditya Challapally, the lead author of the report and a research contributor to project NANDA at MIT, previously told Fortune the AI pilot program failures did not fall on the quality of the AI models, but the “learning gap” for both tools and organizations.

“Some large companies’ pilots and younger startups are really excelling with generative AI,” Challapally told Fortune earlier this month. Startups led by 19- or 20-year-olds, for example, “have seen revenues jump from zero to $20 million in a year,” he said. 

“It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.

Jim Johson, an AI consulting executive at AnswerRocket, told Fortune the $900-per-hour wage “makes perfect sense” when considering companies have spent two years experimenting with AI and “have little to show for it.” 

“Now the pressure’s on to demonstrate real progress, and they’re discovering there’s no easy button for enterprise AI,” Johnson said. “This premium won’t last forever, but right now companies are essentially buying insurance against joining that 95% failure statistic.”

Gopal said PromptQL’s business model to have AI engineers serve as both consultants and forward deployed engineers (FDEs)—hybrid sales and engineering jobs tasked with integrating AI solutions—is what makes their employees so valuable.

This new wave of AI engineer consultants is shaking up the consulting industry, Gopal said. But he sees his company as helping shift traditional consulting partnership expectations and culture. 

“The demand is there,” he said. “I think what makes it hard is that leaders, especially in some of the established companies… are kind of more used to the traditional style of consultants.” 

Gopal said the challenge for his company will be to “drive that leadership and education, and saying, ‘Folks, there is a new way of doing things.’”

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5 VCs sounds off on the AI question du jour

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The views seem to range from bubble-wary to bubble-dismissive. We hashed it all out over eggs and sausages at Fortune’s IRL Term Sheet Breakfast at Brainstorm AI in San Francisco yesterday. This is Amanda Gerut, Fortune’s West Coast news editor, pinch-hitting for my colleague Allie Garfinkle.

Allie hosted five VCs with funds ranging in size from $5 million to $25 billion and views varied across the panel. This group alone is collectively going to deploy anywhere from tens to hundreds of millions over the next decade into companies with AI as a backdrop and these investments will either prove spectacularly right or wrong.

Here’s a roll call:

Jenny Xiao, partner at Leonsis Capital and former researcher at OpenAI, came in with a nuanced take. There’s something of a bubble, but it’s “relatively contained” in the infrastructure layer with overinvestment primarily in data centers, GPUs and in large language model companies. But right now, there’s actually underinvestment in the application layer because there are so many ways AI can make an impact in various enterprises, Xiao said. 

Vanessa Larco, former partner at New Enterprise Associates (NEA) and co-founder of new venture firm Premise, has a contrarian view. “Everyone thinks enterprise is safer,” Larco said. “But I actually think the consumer might, this time around in the current environment, be what survives.” Larco’s reasoning is that if a consumer adopts your AI product, it’s because you’re giving them something faster, “radically cheaper, or much easier to use.” Once you’ve done that and built a brand, it’s very hard for people to quit you. 

Rob Biederman, managing partner at Asymmetric Capital Partners and chairman of Catalant Technologies, had a sobering view. “In every boom, 99% or 99.9% of companies fail, and one or two of them become Amazon or Google,” said Biederman, who had to dash off to catch a flight. Only companies that can systematically create value for customers, which most of them aren’t doing right now, will survive. 

Aaron Jacobson, partner at NEA, said the history of technological innovation “is always overhyped in the near term and underhyped in the long term, and that will be true of AI.” So at some point there will be a correction and there will be cycles of pain around valuation and funding, “but ultimately, in 10 years, we’re going to have a lot of really big, impactful companies.”

Daniel Dart, founder and general partner of Rock Yard Ventures, had the boldest counter to fears about a bubble. He sees a total addressable market we can’t yet imagine. People think self-driving Waymos will replace Ubers, but Dart sees elementary schools and elderly care centers with Waymos waiting out front and that proves to him we’re still in the early innings. 

“You’re really going to tell me there aren’t going to be any trillion-dollar companies in 2030 or 2034? No one here is going to take that bet,” said Dart. “There is going to be so much value creation that it’s like the birth of fire.”

See you tomorrow,

Amanda Gerut
Email:
Amanda.gerut@fortune.com
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Joey Abrams curated the deals section of today’s newsletter.Subscribe here.

Venture Deals

Saviynt, an El Segundo, Calif.-based identity security platform, raised $700 million in series B funding. KKR led the round and was joined by SixthStreetGrowth, TenEleven and existing investor CarrickCapitalPartners.

fal, a San Francisco-based AI-generated media platform, raised $140 million in Series D funding. Sequoia led the round and was joined by KleinerPerkins, NVentures, and AlkeonCapital.

Radial, a New York City-based network designed to help patients access advanced mental health treatments, raised $50 million in Series A funding. GeneralCatalyst led the round and was joined by SolariCapital, SLHealthCapital, FounderCollective, BoxGroup, ScrubCapital, and DiedevanLamoen.

Relation, a London, U.K.-based developer of medicines for immunology, metabolic, and bone diseases, raised $26 million in funding from NVentures, DCVC, and MagneticVentures.

Aradigm, a New York City-based benefits platform for cell and gene therapies, raised $20 million in Series A funding. FristCresseyVentures led the round and was joined by AndreessenHorowitz and MorganHealth

PrimeSecurity, a Tel Aviv, Israel and New York City-based AI-powered platform designed to detect and mitigate risks during software design, raised $20 million in Series A funding. ScaleVenturePartners led the round and was joined by FoundationCapital, FlybridgeVentures, and others.

Algori, a Madrid, Spain-based AI-powered shopper insights platform for the fast-moving consumer goods industry, raised €3.6 million ($4.2 million) in funding from RedBullVentures, Co-invest Capital, AttaPoll, and others.

EmpromptuAI, a San Francisco-based platform designed to help transition SaaS products into AI-native systems, raised $2 million in pre-seed funding. PrecursorVentures led the round and was joined by AlumniVentures, FoundersEdge, RogueWomenVC, and others.

Private Equity

AppDirect, backed by CDPQ, acquired vComSolutions, a San Ramon, Calif.-based IT management platform, at an enterprise valuation of more than $100 million.

JensenHughes, backed by GryphonInvestors, acquired SafetyManagementServices, a West Jordan, Utah-based fire and life safety company. Financial terms were not disclosed.

NewStateCapitalPartners acquired a majority stake in Harrell-Fish, a Bloomington, Ind.-based mechanical installation and maintenance services provider. Financial terms were not disclosed.

PestCoHoldings, a portfolio company of ThompsonStreetCapital, acquired SouthwestExterminating, a Houston, Texas-based pest control provider. Financial terms were not disclosed.

ProsperityPartners, backed by UnityPartners, acquired a majority stake in Farkouh, Furman & Faccio, a New York City-based provider of tax, attest, accounting and business consulting services. Financial terms were not disclosed.

SEVA acquired a minority stake in Pronto, a Lehi, Utah-based team communications platform designed for front–line employers and higher education institutions. Financial terms were not disclosed.

Exits

ArclineInvestmentManagement acquired Altronic, a Girard, Ohio-based supplier of ignition, control, and instrumentation systems for critical infrastructure power systems, from HOERBIGERGroup. Financial terms were not disclosed.

BerkshirePartners agreed to acquire UnitedFlowTechnologies, an Irving, Texas-based process and equipment solutions company for water and wastewater systems, from H.I.G.Capital. Financial terms were not disclosed.

BessemerInvestors acquired Xanitos, a Newtown Square, Penn.-based provider of environmental services, patient transport, patient observation, and linen services, from AngelesEquityPartners. Financial terms were not disclosed.

ShareRockPartners acquired a majority stake in AMAGTechnology, a Hawthorne, Calif.-based physical security solutions provider, from AlliedUniversal.



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Coupang CEO resigns over historic South Korean data breach

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Coupang chief executive officer Park Dae-jun resigned over his failure to prevent South Korea’s largest-ever data breach, which set off a regulatory and political backlash against the country’s dominant online retailer.

The company said in a statement on Wednesday that Park had stepped down over his role in the breach. It appointed Harold Rogers, chief administrative officer for the retailer’s U.S.-based parent company Coupang Inc., as interim head.

Park becomes the highest-profile casualty of a crisis that’s prompted a government investigation and disrupted the lives of millions across Korea. Nearly two-thirds of people in the country were affected by the breach, which granted unauthorized access to their shipping addresses and phone numbers.

Police raided Coupang’s headquarters this week in search of evidence that could help them determine how the breach took place as well as the identity of the hacker, Yonhap News reported, citing officials.

Officials have said the breach was carried out over five months in which the company’s cybersecurity systems were bypassed. Last week President Lee Jae Myung said it was “truly astonishing” that Coupang had failed to detect unauthorized access of its systems for such a long time.

Park squared off with lawmakers this month during an hours-long grilling. Responding to questions about media reports that claimed the attack had been carried out by a former employee who had since returned to China, he said a Chinese national who left the company and had been a “developer working on the authentication system” was involved.

The company faces a potential fine of up to 1 trillion won ($681 million) over the incident, lawmakers said.

Coupang founder Bom Kim has been summoned to appear before a parliamentary hearing on Dec. 17, with lawmakers warning of consequences if the billionaire fails to show.

Park’s departure adds fresh uncertainty to Coupang’s leadership less than seven months after the company revamped its internal structure to make him sole CEO of its Korean operations. In his new role, Rogers will focus on addressing customer concerns and stabilizing the company, Coupang said.

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Databricks CEO Ali Ghodsi says company will be worth $1 trillion by doing these three things

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Ali Ghodsi, the CEO and cofounder of data intelligence company Databricks, is betting his privately held startup can be the latest addition to the trillion-dollar valuation club.

In August, Ghodsi told the Wall Street Journalthat he believed Databricks, which is reportedly in talks toraise funding at a $134 billion valuation, had “a shot to be a trillion-dollar company.” At Fortune’s Brainstorm AI conference in San Francisco on Tuesday, he explained how it would happen, laying out a “trifecta” of growth areas to ignite the company’s next leg of growth.

The first is entering the transactional database market, the traditional territory of large enterprise players like Oracle, which Ghodsi said has remained largely “the same for 40 years.” Earlier this year, Databricks launched a link-based offering called Lakehouse, which aims to combine the capabilities of traditional databases with modern data lake storage, in an attempt to capture some of this market.

The company is also seeing growth driven by the rise of AI-powered coding. “Over 80% of the databases that are being launched on Databricks are not being launched by humans, but by AI agents,” Ghodsi said. As developers use AI tools for “vibe coding”—rapidly building software with natural language commands—those applications automatically need databases, and Ghodsi they’re defaulting to Databricks’ platform.

“That’s just a huge growth factor for us. I think if we just did that, we could maybe get all the way to a trillion,” he said.

The second growth area is Agentbricks, Databricks’ platform for building AI agents that work with proprietary enterprise data.

“It’s a commodity now to have AI that has general knowledge,” Ghodsi said, but “it’s very elusive to get AI that really works and understands that proprietary data that’s inside enterprise.” He pointed to the Royal Bank of Canada, which built AI agents for equity research analysts, as an example. Ghodsi said these agents were able to automatically gather earnings calls and company information to assemble research reports, reducing “many days’ worth of work down to minutes.”

And finally, the third piece to Ghodsi’s puzzle involves building applications on top of this infrastructure, with developers using AI tools to quickly build applications that run on Lakehouse and which are then powered by AI agents. “To get the trifecta is also to have apps on top of this. Now you have apps that are vibe coded with the database, Lakehouse, and with agents,” Ghodsi said. “Those are three new vectors for us.”

Ghodsi did not provide a timeframe for attaining the trillion-dollar goal. Currently, only a handful of companies have achieved the milestone, all of them as publicly traded companies. In the tech industry, only big tech giants like Apple, Microsoft, Nvidia, Alphabet, Amazon, and Meta have managed to cross the trillion-dollar threshold.

To reach this level would require Databricks, which is widely expected to go public sometime in early 2026, to grow its valuation roughly sevenfold from its current reported level. Part of this journey will likely also include the expected IPO, Ghodsi said.

“There are huge advantages and pros and cons. That’s why we’re not super religious about it,” Ghodsi said when asked about a potential IPO. “We will go public at some point. But to us, it’s not a really big deal.”

Could the company IPO next year? Maybe, replied Ghodsi.



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