Top 10 Biggest U.S. Companies That Have Started Using Generative AI in Their Operations
Generative AI is reshaping business as we know it. For CTOs and tech leaders considering hiring AI developers for their businesses, this deep dive is for you. Let’s explore how ten major U.S. companies are actively using Generative AI today—and what that means for your organization.
1. Netflix – AI-Powered VFX and Smart Search
Netflix recently used Generative AI to produce a dramatic visual-effects scene—a collapsing building—for The Eternaut. The result was ten times faster and significantly cheaper than traditional CGI.
They’ve also added conversational AI to their mobile apps. Users can now search with prompts like “something funny and upbeat,” improving discoverability while boosting engagement.
2. Walmart – AI That Touches Every Product
Walmart applied Generative AI to enhance over 850 million product listings. This includes auto-generated descriptions, completion of missing data, and search relevance tuning—something that would have required hundreds of full-time staff.
Additionally, AI-driven retail enhancements are projected to boost their pre-tax profit by tens of billions in the coming years, with clear signs of increased supply chain efficiency.
3. Cencora – GenAI for Smarter Pharma Logistics
Cencora, previously AmerisourceBergen, uses Generative AI for predictive analytics and summarization of massive medical data sets.
This enables faster reporting, real-time forecasting, and anomaly detection across the pharma supply chain—critical for a company managing sensitive and high-value logistics in the healthcare industry.
4. Apple – Quietly Powering Smarter Devices
Apple has integrated Generative AI into “Apple Intelligence,” a suite of on-device AI features across iPhone, iPad, and Mac.
These include natural-language search in Photos, Genmoji creation, image generation, and context-aware writing tools—all built to respect privacy by processing locally on user devices.
5. Google (Alphabet) – AI at the Core of Everything
Alphabet has embedded Generative AI across Google Search, Gmail, Docs, and its cloud platform.
From Gemini AI for multimodal input to auto-generated summaries and content creation tools in Workspace, Google’s tools support over two billion users each week.
Its AI patents have surged by 56% year-over-year, making Alphabet one of the global leaders in AI innovation and commercialization.
6. Exxon Mobil – AI-Driven Cost Savings in Energy
Exxon Mobil is using Generative AI for seismic data processing, procurement automation, and supply chain efficiency.
With ambitions to cut billions from its operating costs, the company is also exploring AI’s role in sustainability projects like carbon capture and real-time risk monitoring.
7. McKesson – AI Enhancing Healthcare Supply Chains
McKesson has begun using Generative AI for compliance documentation and to automate customer support responses.
By simplifying data-heavy operations, they reduce friction and improve service speed—important in a field where efficiency directly impacts patient care and outcomes.
8. Amazon – AI Powers Alexa, Catalogs, and Platforms
Amazon’s use of Generative AI is far-reaching. Alexa now supports multi-turn conversations and deeper contextual understanding.
Their e-commerce platform uses AI to generate product summaries and enhance listings at scale.
Through AWS’s Amazon Bedrock, Amazon has also enabled other enterprises to build custom Generative AI applications—paving the way for scalable enterprise use.
9. Gong – Turning Conversations into Revenue
Gong is a pioneer in using Generative AI for revenue intelligence. The company processes millions of sales conversations to extract actionable insights. Gong’s AI models transcribe calls, summarize customer sentiment, and flag risk factors—giving sales leaders a clear view of pipeline health.
Their latest features use Generative AI to draft follow-up emails, prepare call summaries, and generate coaching tips based on call content. For sales-focused businesses, Gong shows the real-world value of AI for boosting team productivity and forecasting accuracy.
If you’re exploring ways to improve customer-facing operations, Gong’s approach proves why hiring AI developers for businesses is no longer optional—it’s strategic.
10. Anthropic – Building Safer AI Models
Anthropic might be newer than others on this list, but it’s rapidly influencing how enterprises think about AI safety and trust. The company, known for its Claude AI models, focuses on creating constitutional AI—models that follow a set of predefined ethical principles.
Major companies are now building with Claude via platforms like Amazon Bedrock, using it to automate customer service, generate content, and power internal assistants. Unlike general-purpose tools, Anthropic emphasizes safe, steerable AI, giving businesses better control and transparency.
For decision-makers in regulated industries, partnering with developers familiar with Anthropic’s ecosystem is a forward-thinking move.
Why It Matters: AI Integration Is Now a Competitive Mandate
These 10 U.S. companies aren’t dabbling in Generative AI—they’re embedding it across their business. And they’re doing so because AI isn’t just about automation anymore; it’s about intelligence, personalization, speed, and innovation.
When your competitors reduce product description time by 95%, analyze seismic data ten times faster, or build smarter assistants that solve customer issues before they escalate—how long can your company wait?
And this shift is accelerating. A report from McKinsey estimates that Generative AI could add $4.4 trillion annually to the global economy. For U.S. businesses, that’s an opportunity worth acting on today—not tomorrow.
Key Takeaways for Tech Leaders
If you’re a CTO, CIO, or innovation lead, here’s what you can learn from these GenAI adopters:
- Start Small but Smart: Use Generative AI to automate internal tasks like documentation, compliance, or meeting notes—low-risk, high-reward areas.
- Customer Experience Is a Priority: AI is transforming how customers search, buy, interact, and learn. Every second saved improves conversion.
- Upskill Internally: Some companies train non-technical teams to work with AI tools directly. Invest in training—not just tech.
- Look Beyond the Hype: It’s easy to be distracted by flashy demos. Instead, focus on business problems where AI brings measurable ROI.
And if you’re planning serious AI adoption?
Consider Hiring Generative AI Developers who understand how to scale prototypes into enterprise-grade applications. Whether it’s integrating LLMs, building custom models, or deploying multi-cloud AI infrastructure, expert help makes all the difference.
Final Word: The AI Advantage Is Real
Netflix uses AI to reshape entertainment. Walmart is transforming retail at scale. Google and Apple are reinventing digital assistants. Even traditional industries like energy, logistics, and pharma are now AI-first in key areas.
The message is clear: Generative AI isn’t a buzzword—it’s a business capability.
Your next move? Look at your workflows. Identify where intelligence can replace inefficiency. And most importantly, bring in the right development talent to turn those AI ideas into working, scalable solutions.
Because in the age of Generative AI, speed, vision, and execution are what separate leaders from the rest.