Business & Technology Correspondent
Emily Carter is a Business and Technology Correspondent at American Commerce Review, covering artificial intelligence, enterprise software, cloud computing, cybersecurity, and the technology companies reshaping American industry.
Her reporting looks beyond product announcements to examine how emerging technologies affect corporate investment, productivity, employment, and competition. Carter follows both established technology companies and younger firms attempting to turn technical innovation into sustainable commercial businesses.
Emily's technology coverage is organised around deployment rather than product novelty. She looks for evidence that AI, cloud or cybersecurity spending has moved into production, changed a workflow, altered capital expenditure or created a new competitive constraint for companies outside the technology sector.
That approach also shapes how she covers large technology vendors. Revenue mix, customer demand, infrastructure commitments and regulatory exposure matter more than launch-stage claims. Her reporting asks what a technology is doing inside American businesses and whether the economics support the scale of the narrative around it.
GoodVision AI's new Texas agreements pair a proposed 15MW modular AI factory with a 100-node inference pilot. The model tests whether AI capacity can scale in smaller increments than hyperscale campuses.
New ACR primary research finds productivity is the leading measurable AI benefit while 45% report reduced planned hiring and entry-level roles face the greatest pressure.
The strongest argument for a temporary capability-based pause is not that AI progress is inherently dangerous, but that evaluation and emergency safeguards may be moving more slowly than the systems they are meant to test.
A safety pause could reduce some risks, but it could also entrench today's largest labs, push frontier work overseas and regulate uncertain future harms more heavily than measurable benefits.
ACR's sourced employer evidence index records workforce scope, geography, reporting period and source quality for major US employers.
A 14,726-person ACR audience survey finds deep AI deployment and growing interest in proprietary systems, while Census data show adoption remains far less uniform across the wider US economy.
Former OpenAI and Anthropic researcher Jacob Coxon has warned about frontier AI risk. We examine the evidence, counterarguments and implications for US AI companies and policy.
Why do frontier AI labs keep accelerating despite safety concerns? We examine the coordination problem driving OpenAI, Anthropic and the wider US AI race.
OpenAI released GPT-6 Astra on September 3, 2026. We examine its computer-use, professional-work and cybersecurity capabilities and what they mean for US businesses.
A detailed profile of California's AI economy, including its concentration of leading AI companies, data-center electricity demand, venture capital and the state's 2026 workforce-policy response.
A data-led guide to where US businesses are adopting AI, how use differs by industry and why adoption surveys need to be read carefully.
How to compare business AI adoption across US states using Census evidence, company mix and local economic structure.
A guide to America's largest semiconductor companies across AI accelerators, networking, CPUs, wireless chips, memory and manufacturing.
Which states have the biggest US semiconductor investments in 2026? ACR compares Arizona, New York, Idaho, Texas and other major manufacturing hubs using sourced project programmes.
West Virginia announced more than $81 billion of data center investment from NScale and Starwood Digital Ventures. ACR examines the project scale, power demand, jobs and infrastructure-cost model.
Microsoft will disclose Azure revenue more directly under a new reporting structure. See what changes in FY2027 and what it reveals about cloud and AI infrastructure.
A sourced guide to major California employers, with reported workforce figures, geographic scope and dates. Separates local jobs from corporate headquarters and global headcounts.
A guide to major technology employers in the United States, including Amazon, Microsoft, Alphabet, Apple, Meta, IBM, Oracle, Nvidia, Cisco and Salesforce.
A guide to 15 major AI companies in the United States, from Nvidia, Microsoft, Alphabet and Amazon to OpenAI, Anthropic, Palantir, Databricks and CoreWeave.
Census data show US business AI use remains concentrated among larger firms, with 37% of companies employing 250 or more people reporting use in spring 2026.
US enterprise AI procurement is shifting toward vendor selection, integration and measurable workflow outcomes as major software platforms scale AI revenue.
A guide to major US ecommerce companies, including Amazon, Walmart, eBay, Etsy, Wayfair, Chewy, Shopify, Target, Costco and other leading online retailers and platforms.
A guide to the best US cities for technology jobs, including San Francisco, Seattle, New York, Austin, Boston, Washington DC, Raleigh, Denver and other major tech hubs.
Amazon raised its 2026 capital spending plan to about $220 billion after AWS revenue grew 37% to $42.2 billion in the second quarter.
Microsoft Azure growth, AI cloud demand and infrastructure spending, with the latest company disclosures placed in the context of US data-centre investment.
Eight US cities with the strongest concentration of AI jobs, led by the San Francisco Bay Area and supported by major hubs including Seattle, New York and Boston.
BLS occupational data shows distinct technology labour markets in San Francisco, Seattle and New York, with different strengths for AI employers and workers.
A guide to 12 of the largest US cybersecurity companies, including Palo Alto Networks, CrowdStrike, Fortinet, Cloudflare, Zscaler and Okta.
A look at 12 US states with the largest technology-company ecosystems, using Census business-establishment data and major technology clusters.
The US states with the largest cybersecurity workforces, using CyberSeek and BLS data on security employment and job demand.
A guide to 18 of the largest US software companies by revenue, including Microsoft, Oracle, Salesforce, Adobe, Intuit, ServiceNow and other major vendors.
SpaceX's June 2026 IPO raised approximately $85.7 billion after the underwriters exercised their full option. The listing changed the financing architecture of American space and gave public investors direct exposure to Starlink, launch and orbital infrastructure.
A guide to 12 of the largest US data center markets, including Northern Virginia, Dallas-Fort Worth, Atlanta, Chicago, Phoenix and Silicon Valley.
The states with the largest life-sciences employment bases across biotech, pharmaceuticals, medical technology and scientific research.
The US states paying the highest technology salaries, using BLS occupational wage data for software, computing and related technical roles.
San Francisco and New York offer different AI advantages: builder density and pay in the Bay Area, customer density and enterprise demand in New York.
The US states leading semiconductor manufacturing investment, from Arizona and Texas to Ohio, New York, Oregon and Idaho.
The Stargate Project plans up to $500 billion of US AI infrastructure investment over four years, beginning in Texas. Here is what it means for data centres, power and industrial policy.
Figma priced its IPO at $33 a share in July 2025 after raising the range during the roadshow. The listing completed a remarkable reversal from the failed Adobe acquisition and gave investors a direct way to value collaborative design software.
Meta's 49% investment in Scale AI valued the company at $29 billion and brought founder Alexandr Wang into Meta's superintelligence effort. The deal gave Scale capital but complicated its position as a neutral supplier to rival AI labs.
Anduril's $2.5 billion Series G more than doubled its valuation and showed that autonomous defence systems had moved from a venture niche into one of the largest private technology categories in the United States.
CoreWeave's downsized March 2025 IPO raised $1.5 billion at $40 per share, below the original range. The offering gave investors their first direct chance to price a specialised GPU-cloud model built on heavy debt and concentrated customers.
Anthropic's $3.5 billion Series E arrived just after Claude Code and Claude 3.7 Sonnet. The valuation reflected a shift from conversational AI toward software-development workloads with clearer enterprise willingness to pay.
Stripe's 2025 tender valued the payments company at $91.5 billion, nearly restoring its 2021 peak while preserving private ownership. The deal showed how secondary liquidity can substitute for a public listing when operating cash flow is strong.
Anduril's planned five-million-square-foot Arsenal-1 campus in Ohio signalled that the defence-tech company wanted to compete on manufacturing scale, not just software and autonomy.
By late 2024, SpaceX's valuation had reached roughly $350 billion. The more revealing change was that Starlink had turned the company from a launch provider into a vertically integrated communications platform with recurring revenue.
By December 2024, xAI was no longer raising capital for an abstract frontier-model ambition. It had built Colossus with 100,000 Nvidia Hopper GPUs in 122 days and was preparing to double the system.
Databricks' 2024 Series J valued the company at $62 billion and provided enough capital and employee liquidity to keep scaling privately while public software valuations remained selective.
Perplexity's late-2024 financing discussions showed how quickly AI search had moved from product experiment to strategic threat. The valuation increasingly depended on browsers, distribution and publisher relationships as much as model quality.
Cerebras' 2024 S-1 showed revenue had more than tripled in 2023 but losses remained large and customer concentration was significant. The filing turned a hardware narrative into a testable public-market business model.
Palantir's addition to the S&P 500 in September 2024 was more than an index event. It marked the point at which a company built around government data contracts and unconventional governance became part of the core US equity benchmark.
xAI's Series B gave Elon Musk's AI company the capital to move from model development into a full-stack infrastructure race. The money mattered because frontier AI was becoming a contest over compute procurement as much as algorithms.
Scale AI's 2024 financing valued the company at $13.8 billion and showed that labelled data, evaluation and human feedback were becoming infrastructure for frontier models rather than a low-margin services layer.
CoreWeave's record private debt facility showed that GPU infrastructure was beginning to be financed like capital-intensive industrial capacity rather than ordinary venture-backed software.
Perplexity's $73.6 million Series B gave investors an early pure-play bet on answer-first search. The company was small, but its source-linked interface challenged the assumption that Google would own the discovery layer of generative AI.
Adobe and Figma abandoned their $20 billion merger after regulators concluded there was no clear path to approval. The failed acquisition removed an exit but preserved an independent competitor in collaborative design software.
Amazon's decision to invest up to $4 billion in Anthropic was more than a venture cheque. It tied Claude's future to AWS infrastructure and showed that frontier-model competition would be financed partly through cloud partnerships rather than independent balance sheets.
The first Condor Galaxy system paired Cerebras' wafer-scale chips with G42's capital and demand. The partnership mattered because it gave Cerebras a reference customer willing to deploy its architecture at supercomputer scale.
Databricks' $1.3 billion MosaicML acquisition moved the company upstream from data infrastructure into model training, setting up the broader data-and-AI platform strategy that followed.
Palantir's Artificial Intelligence Platform was built around a simple premise: enterprises would not deploy large language models at scale unless permissions, operational data and human oversight were integrated into the same system.
Stripe raised more than $6.5 billion at a $50 billion valuation in 2023, but the company said it did not need the capital to operate. The transaction was designed largely to solve employee liquidity and tax obligations after years of staying private.