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THE RUNDOWN
You've probably noticed that every company is talking about deploying AI but nobody seems to actually know how to do it. This week, OpenAI decided to become the answer to that question, launching a $4 billion consulting firm staffed with engineers who embed directly inside client organizations. The kicker: McKinsey, Bain, and Capgemini all invested.
Meanwhile, Cisco posted its best quarter ever ($15.8 billion) and cut 4,000 jobs on the same call. LinkedIn did the same thing. Cerebras went public and nearly doubled on day one. And Trump wrapped up two days in Beijing with Boeing orders and Nvidia chip approvals.
I'll break down why the biggest consulting firms are funding their own replacement, what the record-revenue-plus-layoffs pattern means for where companies are actually spending, and a prompt to map your skills to the new "deployment layer" that didn't exist six months ago.
Let's get into it.
Quick Signals
Cerebras debuted at $311, up 68% from its $185 IPO price. The AI chipmaker raised $5.55 billion in the largest US tech IPO since Uber, valuing the company at roughly $95 billion. It opened at $350, peaked at $386, then settled. For context, Cerebras was valued at $49 billion just last week.
Cisco posted its best quarter ever ($15.8B revenue) and cut nearly 4,000 jobs. Net income hit $3.37 billion. The company raised its AI infrastructure revenue target from $5 billion to $9 billion on the same call it announced the cuts. LinkedIn did the same thing two days earlier: record $4.83 billion quarter, 875 people gone.
Walmart cut or relocated about 1,000 corporate roles, and notably did not blame AI. The company said it was consolidating three separate tech organizations into one. Affected staff were offered internal transfers or relocation to Bentonville or Northern California.
The Trump-Xi summit ended with Boeing orders and Nvidia chip approvals, but no major breakthroughs. China agreed to buy 200 Boeing jets and billions in US agricultural products. The US cleared 10 Chinese firms (including Alibaba, Tencent, ByteDance) to buy up to 75,000 Nvidia H200 chips each. But no deliveries have happened yet, as Beijing is reportedly pressuring Chinese firms to hold off.
Closing arguments wrapped in the Musk v. OpenAI trial. Musk's lawyers argued his $38 million in donations were given for a specific charitable purpose that OpenAI abandoned. OpenAI countered there were no strings attached. The jury's verdict is advisory only, with deliberations starting Monday and the judge making the final call.
Weekly jobless claims rose to 211,000 for the week ending May 9. That's an increase of 12,000 from the prior week, with the four-week average at 203,750. Still well below recession territory, but the highest single-week reading in about a month.
OPPORTUNITY FLOW
Hiring
Cerebras is scaling post-IPO with a $95B valuation and $5.55B in fresh capital. The 10-year-old AI chipmaker has deals with Amazon and OpenAI and is expanding its engineering and go-to-market teams.
Cisco is cutting 4,000 roles but redirecting headcount into AI infrastructure, cybersecurity, and data center networking. AI infrastructure revenue target raised from $5B to $9B for FY2026.
OpenAI's Deployment Company is hiring Forward Deployed Engineers to embed inside enterprise clients. Day-one headcount: 150 from the Tomoro acquisition, with plans to scale.
Funding
Isomorphic Labs (DeepMind AI drug discovery spinout) closed a $2.1B Series B led by Thrive Capital, with UK Sovereign AI Fund, Abu Dhabi's MGX, Alphabet's GV, and Temasek.
Contracts
Nvidia cleared to sell H200 chips to 10 major Chinese firms including Alibaba, Tencent, ByteDance, JD.com. Up to 75,000 chips per customer. Deliveries pending Beijing approval..
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The Big Story
OpenAI just became a consulting firm.
On Sunday, OpenAI launched the OpenAI Deployment Company, a standalone business backed by more than $4 billion in initial investment. The mission: embed AI engineers directly inside large organizations to redesign how they work.
The company will deploy Forward Deployed Engineers, or FDEs, into client organizations. These aren't support reps on a help desk. They're technical specialists who sit inside your company, study your workflows, and rebuild them around AI. Think of it as McKinsey meets engineering, but the engineers actually ship the code.
The partner list is the interesting part. TPG leads the investment, with Bain Capital, Brookfield, Goldman Sachs, and SoftBank. But the real eyebrow-raiser is who else signed on: McKinsey, Bain & Company, and Capgemini all invested. Three of the biggest consulting firms in the world just helped fund a company that is, by design, competing for the same enterprise implementation revenue they bill for today.
The math explains why. For every dollar companies spend on software, they spend roughly six dollars on services to implement it. That makes consulting a multitrillion-dollar market. OpenAI isn't just selling models anymore. It's going after the implementation layer, the part of the value chain where Accenture, Deloitte, and Cognizant make their money.
OpenAI also acquired Tomoro, a London-based AI consulting firm, to get 150 deployment specialists on day one. Anthropic has been making similar moves. The pattern is clear: AI companies are becoming consulting companies.
And this week showed exactly where the money is going. Cisco, LinkedIn, and Freshworks all posted record revenue and cut a combined 6,000 jobs. Over 128,000 tech jobs have been cut in 2026 so far, approaching the full 2025 total with seven months left. But the companies doing the cutting are growing revenue 12-16% year over year and spending hundreds of billions on AI infrastructure. The roles being eliminated are not being replaced one-for-one. They're being replaced by AI systems, and the people who can deploy those systems.
Why it matters: If you came from consulting, this should land differently. The firms that taught you to build strategy decks are now funding the companies that want to replace the strategy deck with an AI-native workflow. The opportunity isn't disappearing. It's shifting from "advise on AI" to "deploy AI." The people who can do both, who understand business problems AND can ship working systems, are about to be the most valuable people in the room. When you're evaluating where to go next, look at where companies are redirecting their money. If the cuts are paired with AI infrastructure spending and record margins, the company is restructuring around a bet, not retreating from a problem.
Making Moves
76% of companies now have a Chief AI Officer, up from 26% last year.
An IBM survey of 2,000 CEOs across 33 countries found that three out of four organizations now have a dedicated Chief AI Officer, a 50-percentage-point jump in a single year. That's not a trend line. That's a category being invented in real time.
Organizations with AI-first C-suite design scaled 10% more AI initiatives enterprise-wide and reported 20% higher ROI on their AI investments. They also reported 29% lower losses from AI-related errors, which suggests the role is as much about risk management as it is about growth.
The practical implication for professionals in strategy, operations, and product management: the companies you're targeting are actively building new leadership layers around AI. These roles did not exist 18 months ago, and many of them are being filled by people who can translate between technical AI capabilities and business operations. That's the exact skill set that former consultants and operators tend to have.
Why it matters: When a company creates a CAIO, it usually follows with a wave of hires underneath that role: AI strategy leads, implementation managers, governance analysts, data operations leads. If you see a CAIO appointment on LinkedIn or in a company's press releases, that company is about to build a team. Reach out before the job postings go up.
Thinking about making moves yourself?
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Try This Out
Map your skills to the "deployment layer"
OpenAI's new company just created a category: AI deployment specialists. If you have consulting or implementation experience, you're closer to this than you think.
Paste this into Claude or ChatGPT:
"I have a background in [your field, e.g., management consulting, program management, systems integration]. I want to understand where my skills map to the emerging 'AI deployment' category, the people who embed inside organizations to redesign workflows around AI tools. Based on my background, give me: (1) the 3 skills I already have that transfer directly, (2) the 2-3 technical gaps I'd need to close, (3) 5 specific job titles to search for on LinkedIn, and (4) one free resource to start closing each gap this week."
This is especially useful if you're coming from Big 4 or MBB, where the implementation muscle is already there. The gap is usually the technical layer, not the business layer.
Predict This
Musk v. OpenAI: How will the jury vote?
The advisory jury begins deliberations Monday after closing arguments wrapped yesterday. Musk is seeking $150 billion in damages and wants Sam Altman removed. The judge has final authority regardless of the jury's recommendation.
Jury sides with Musk on at least one claim
Jury sides with OpenAI on all claims
Split verdict (some claims for each side)
Last issue's prediction: Cerebras day-one close price. The stock priced at $185, opened at $350, and closed at $311, a 68% pop. If you guessed above $200, you nailed it..
