Observations · AI and Business Since 2022
Operations and leadership
AI moved from a technology decision to the central strategy question. Boards demanded AI plans in 2023; by 2025–26, leaders were publicly tying headcount, capex, and org design to AI — while studies (MIT's 95%, NBER's 90%) showed most deployments still hadn't reached the P&L.
What drove it
Copilots embedded in productivity suites, enterprise agent platforms (Agentforce, ServiceNow), MCP-connected internal tools, and the public example set by AI-forward operators like Klarna, Salesforce, and Amazon.
The evolution
2023
Boards demanded AI strategies within a quarter of ChatGPT, and the Altman governance crisis taught enterprises to hedge vendor risk.
- Microsoft commits ~$10B to OpenAI
It tied the most important AI lab to the second-largest cloud provider and signaled that frontier AI would be financed by Big Tech capital, not standalone startups.
- Google rushes out Bard; a demo error erases ~$100B of Alphabet
It crystallized the perception that the AI research leader was reacting defensively, and showed that markets would brutally price AI execution.
- Microsoft ships AI Bing, then puts Copilot inside Office
The first time an incumbent shipped frontier AI directly into products used by billions, and an open assault on Google's core business.
- 30,000 signatures call for a pause on giant AI experiments
It moved AI risk from academic circles to front pages and boardrooms, framing frontier AI as a societal decision rather than a purely commercial one.
- NVIDIA joins the trillion-dollar club as the H100 boom begins
It established AI compute as the scarcest strategic resource in technology, and proved the surest profits of the boom were in the hardware layer.
- Llama 2: open weights become a sanctioned Big Tech strategy
Open weights went from leak to strategy, giving every company a credible free alternative to paid frontier APIs.
- Amazon commits up to $4B to Anthropic
It completed the alignment of every frontier lab with a hyperscaler patron — frontier AI economics now required Big Tech capital and compute.
- Biden signs the sweeping AI executive order
The US government's first binding intervention in frontier AI development, setting compute-threshold reporting before any legislation existed.
- 28 nations — including the US and China — sign the Bletchley Declaration
It established 'frontier AI' as a category of international governance and launched the AI Safety Institute model.
- OpenAI's board fires Sam Altman — and reinstates him in five days
The crisis exposed how fragile governance was at the world's most important AI company — and showed that investors, employees, and Microsoft held the real power, not the safety-oriented board.
- EU agrees the AI Act — the world's first comprehensive AI law
It set the global regulatory benchmark for AI — the 'Brussels effect' — and covered frontier model providers for the first time anywhere.
2024
Copilots embedded into every productivity suite, Agentforce reframed enterprise software around agents, and compute allocation became a board topic.
- Gemini 1.5 brings the 1M-token context window
Long context reset expectations for how much information one model could reason over; the image controversy became the year's cautionary tale on guardrail tuning.
- Microsoft partners with Mistral, bringing Mistral Large to Azure
It underscored Microsoft's strategy of backing multiple model providers beyond OpenAI — and drew immediate regulatory scrutiny of Big Tech–AI tie-ups.
- Klarna: our AI assistant does the work of 700 agents
One of the first widely cited corporate claims of large-scale labor substitution by generative AI, with hard numbers attached.
- Claude 3: Anthropic reaches the frontier
It made Anthropic a credible frontier competitor and introduced the tiered price-performance lineup that became an industry pattern.
- NVIDIA announces Blackwell at GTC
It set the hardware roadmap for trillion-parameter models and reinforced NVIDIA's grip on AI infrastructure.
- AI goes on-device: Apple Intelligence and Copilot+ PCs
Generative AI became a default operating-system feature on billions of devices, with privacy-preserving local inference as the selling point.
- NVIDIA becomes the world's most valuable company
The clearest single marker of how thoroughly AI had reshaped the corporate hierarchy: the chip supplier now sat on top.
- Claude 3.5 Sonnet and Artifacts: better, faster, cheaper — with a workspace
Proof of how fast price-performance was improving, and a new interaction model built around producing real work rather than chat.
- Llama 3.1 405B: the first open-weight frontier model
It collapsed the assumed gap between open and closed AI, changing the build-versus-buy calculus for every company.
- The EU AI Act enters into force
The first binding global template for regulating AI by risk category.
- xAI builds Colossus — 100,000 GPUs in 122 days
It demonstrated how fast a new entrant could stand up frontier-scale compute and credibly challenge incumbents.
- Salesforce launches Agentforce: enterprise software goes agentic
A major enterprise vendor pivoted its entire strategy from copilots that assist to agents that act.
- California passes — then vetoes — frontier AI safety bill SB 1047
The highest-profile US state attempt to regulate frontier AI, and a preview of the federal–state tension that followed.
- Amazon doubles down: $8B total into Anthropic
Deepened the hyperscaler–lab alliance pattern and advanced Amazon's bid to challenge NVIDIA with custom AI chips.
2025
The adoption-to-impact gap became the story: MIT's 95% finding, Meta's $100M talent packages, and the first explicitly AI-attributed layoffs.
- Stargate: a $500B bet on American AI infrastructure
The largest infrastructure commitment in AI history. Frontier AI officially became national industrial policy.
- Operator: the year of agents begins
The industry narrative shifted from chatbots that answer to agents that act.
- The DeepSeek shock: R1 wipes ~$600B off NVIDIA in a day
Frontier-level reasoning, cheap and open, directly challenged the assumptions underneath hundreds of billions of dollars in US AI capex.
- MCP becomes the industry standard for connecting AI to tools
For the first time, all major rival labs aligned on one open standard — the plumbing the agent era required.
- Meta pays $14.3B for Scale AI and starts the talent war
The most dramatic talent war in tech history; Meta chose to buy its way back to the frontier.
- Washington's AI Action Plan — and the H20 chip whiplash
US policy pivoted to deregulation and export promotion, making chip access an explicit instrument of trade negotiation.
- MIT: 95% of enterprise GenAI pilots show no P&L impact
The '95% fail' statistic became the most-cited data point in the AI bubble debate.
- The circular economy of AI: NVIDIA–OpenAI $100B, Oracle $300B, AMD warrants
Vendors investing in their biggest customer raised circularity concerns at the heart of the boom's accounting.
- OpenAI completes its for-profit restructuring; Microsoft takes 27%
It resolved the year's most consequential governance fight and removed the constraints that had bound OpenAI's capital raising since 2019.
- AI reaches the workforce: Amazon cuts 14,000 as the evidence mounts
AI-driven workforce reduction moved from prediction to documented practice, with major employers explicitly linking headcount to AI.
2026
Payroll-to-capex became explicit strategy — 142,000 tech layoffs by May against a ~$700B buildout, while NBER found ~90% of firms still couldn't measure the gains; Anthropic proposed government mechanisms and a $350M fund for the displacement ahead, and Stanford stood up live infrastructure to measure it.
- NBER: ~90% of firms report no AI productivity impact yet
It quantified the gap between historic AI investment and measured firm-level returns.
- The AI layoff wave: payroll becomes capex
The first sustained period in which profitable companies explicitly tied workforce reductions to AI adoption and capex funding.
- GPT-5.5: OpenAI's flagship becomes an agent
OpenAI's flagship line moved decisively from chat toward computer-operating agents — with reliability, not capability, as the headline metric.
- New Jersey codifies the ABC test as the federal rule stalls
Classification is where the promise of frictionless global hiring meets the ground. A three-prong conjunctive test decided state by state is not a protocol; it is twenty-odd incompatible dialects with the same name. The compliance floor for anyone paying contractors in the US is set here, in state rulemaking, not in a single federal standard.
- Germany starts drafting as the EU platform work deadline nears
The directive was supposed to harmonise platform work across Europe, and in the most important respect it does the opposite: the employment presumption is delegated to twenty-seven national legislatures, each defining its own triggers. A protocol that every implementer configures differently is a standard in name only — and the algorithmic-management provisions arrive on top, reaching further into automated decisions than the AI Act does.
- EU delays AI Act high-risk rules in the Digital Omnibus deal
A pragmatic admission that the oversight infrastructure wasn't ready — the world's most ambitious AI law recalibrated under simplification pressure.
- NVIDIA's record quarter: $81.6B revenue, market cap past $5T
It countered bubble fears for at least another quarter: AI infrastructure demand kept compounding.
- MCP drops sessions — the agent protocol becomes ordinary plumbing
Every one of these changes is boring: load balancing, standard auth, trace propagation, a published deprecation window. That is exactly the point. Protocols stop being demos when they acquire the unglamorous properties that let ordinary operations teams run them — and the value migrates off the model and onto the interfaces and workflows built around it.
- Apple makes the model layer a swappable OS primitive
It commoditizes the model layer at the level of the operating system. A provider-neutral interface baked into the platform SDK turns the model into an interchangeable component and makes the surrounding workflow — distribution, integration, trust — the durable asset.
- Claude Fable 5: the first broadly available Mythos-class model
A new top capability tier reached the open market days after Anthropic's record raise, with safety gating presented as the unlock.
- Mastercard launches Agent Pay for Machines
The hard problem in agentic commerce is not moving money — it is proving an agent's identity and constraining its authority. Putting that identity, consent, and permission layer on shared infrastructure is the trust standard the agent economy was missing.
- Anthropic publishes an economic policy framework for AI displacement
A market-leading developer is formally proposing to be taxed to fund — and to have its releases gated by — the disruption its own products may cause. Read the incentives: the disruptor is moving first to shape the rules of its own disruption.
- RWS grows profit 33% as AI reaches a third of revenue
Profit grew six times faster than revenue while the AI share of the mix climbed — the opposite shape to the compression showing up in customer-experience outsourcing the same month. Two labour-intensive service industries, the same technology, opposite margin directions. Whether AI compresses a service business or expands it is not a property of the technology; it turns on whether the firm bills for the output or for the hours.
- SpaceX (xAI inside) prices the largest IPO on record
Read through the AI lens, not the rocket: public-market investors now get frontier-AI compute exposure (xAI, Colossus) bundled inside the largest listing in history — the capstone of an AI capital cycle going public in a single quarter (Cerebras → Anthropic → OpenAI → SpaceX/xAI).
- Salesforce buys Fin for $3.6B on a 76% resolution claim
The largest consolidation yet in AI customer support, and the number at the centre of it deserves reading carefully. A resolution rate measures volume that never reached a human. It does not measure whether the customer's problem was solved, whether they came back three days later, or whether they simply gave up. Those are different questions, and only the first one is easy to instrument — which is precisely why it is the one that gets quoted.
- IMF: Nigeria is 60% of sub-Saharan Africa's stablecoin inflows
This is a multilateral institution, not a vendor, reporting that dollar-denominated stablecoins have become a real payments channel — and the reason is not enthusiasm for the technology. It is that correspondent banking works badly in exactly these corridors. Adoption is highest where the incumbent rails are worst, which is the honest version of the story.
- DeepL buys Mixhalo, moving translation toward live interpretation
Machine translation has been encroaching on written work for a decade. Live simultaneous interpretation has held out, because it runs in real time, under social pressure, with no edit pass and no second attempt — the conditions under which tacit skill matters most. Buying a live-event audio platform is a statement about which direction the frontier is moving.
- The OCC proposes the compliance perimeter for stablecoin issuers
This is the boring half of the stablecoin story and the half that decides whether regulated businesses can actually use these rails. Nothing about a payout channel matters operationally until an issuer sits inside a supervised AML, sanctions and reporting regime. Compliance is not a tax on the product here — it is the feature that makes the product usable by anyone with a real balance sheet.
- Concentrix cuts guidance while AI deals grow 400%
Read the two halves of the release against each other. The AI product line is growing fast in percentage terms off a small base; the services business still sets the guidance, and the guidance came down. This is what the middle of a service-to-software transition looks like on an actual income statement — not a clean pivot, but a fast-compounding new line that cannot yet carry the company, disclosed in the same document as a cut.
- Visa, M-PESA and Onafriq pilot stablecoin settlement in the DRC
The interesting party here is Visa. When a card network and a mobile money operator run settlement over stablecoins, the technology has stopped being a challenger to the incumbent rails and started being a component inside them. That is usually how infrastructure actually changes — not by replacement, but by quiet substitution one layer down, while the interface the user sees stays the same.
Key sources
The papers, announcements, and reports that document this industry's shift. Each also lives in the Library.
What businesses do differently
Leaders flattened org charts, slowed entry-level hiring, and redirected payroll into AI infrastructure. The winning pattern from the research: buy focused solutions, embed them in one workflow, measure honestly — rather than broad internal platform builds.
What this means for founders and leaders
The gap between AI adoption and AI impact is where competitive advantage lives right now. Pick narrow workflows, instrument them, and compound. Announcing an AI strategy is not having one.