AI Jobs Created

Infosys plans to transition up to one-third of its 320,000 employees into specialist roles while creating a team of 6,000 frontier engineers as part of its strategy to adapt to AI-driven changes in the IT industry. This initiative reflects the company's response to the evolving demands of AI in its operations.

Amazon has announced the creation of 300 new jobs at a robotics manufacturing plant in Greenwood, Indiana, with average salaries nearing $100,000. This facility will enhance Amazon's manufacturing capabilities and is part of a broader investment in advanced manufacturing across the region.

Thomson Reuters announced plans to cut 500 engineering positions while aiming to hire 250 new AI-native roles over the next two years. This move represents a 1.8% reduction of its total workforce of approximately 27,100 employees. The layoffs are concentrated in India, with the company looking to shift towards more senior AI-focused engineering talent.

Ineffable Intelligence, a British AI lab founded by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a $5.1 billion valuation. The company aims to build a 'superlearner' AI system using reinforcement learning without human data. The large investment signals significant hiring and job creation in the AI sector, though specific job numbers were not disclosed.

Databricks, a data and AI platform company, has announced a job opening for a Principal Research Scientist – Scaling, based in San Francisco, California. The role will lead a team focused on large language model training and inference efficiency, advancing the company's AI platform. This represents a new AI-focused job creation as Databricks expands its research capabilities.

Google DeepMind hired philosopher Henry Shevlin to explore AI consciousness, ethics, and human-machine relationships. The appointment reflects a growing trend among AI companies to bring philosophers and ethicists on board as they grapple with questions around artificial general intelligence. Shevlin will continue his academic work at Cambridge while focusing on foundational AI questions at DeepMind.

Goldman Sachs announced the hiring of Archana Vemulapalli as Partner and Global Head of AI Product Management and Strategic Relations on April 6, 2026. In this newly created role, she will work across the firm to develop AI offerings and deploy innovative solutions to advance Goldman Sachs' priorities. Vemulapalli brings over two decades of engineering and leadership experience from companies including AMD and Amazon Web Services. The appointment reflects Goldman Sachs' continued investment in AI capabilities across its financial services operations.

HSBC announced the appointment of David Rice as its first Chief AI Officer, effective April 1, 2026. The new role is part of HSBC's broader strategy to deploy AI at scale across the organization. The appointment aims to provide enterprise leadership for AI adoption and help build AI solutions that benefit both colleagues and customers. HSBC also expanded the remit of its Chief Technology Officer to strengthen technology foundations for AI deployment.

OpenAI plans to nearly double its workforce by the end of 2026 as it competes with rivals like Anthropic and Google. The hiring expansion was reported by the Financial Times on March 21, 2026. While specific job numbers weren't disclosed, this represents significant growth for the AI company.

Microsoft announced a major AI leadership reorganization, combining its commercial and consumer Copilot teams under executive vice president Jacob Andreou. Microsoft AI CEO Mustafa Suleyman will now focus exclusively on the company's superintelligence team, which is building frontier AI models to reduce Microsoft's reliance on OpenAI. The restructuring reflects Microsoft's strategy to create a more cohesive AI platform while developing proprietary AI capabilities.

AI safety and research company Anthropic announced plans to create 200 new jobs in Dublin by 2027, expanding its operations into larger premises. The expansion comes in response to strong enterprise demand in Europe, with regional revenue growing 11-fold year-over-year. The new roles will span engineering, sales, finance, legal and compliance, and operations, reflecting Ireland's growing position as a hub for AI adoption.

Genesis AI, a full-stack robotics company, hired former Amazon executive Vivian Sun as Vice President of Commercial and Strategy on March 11, 2026. Sun, who previously led automated driving strategy at Amazon and held commercial leadership roles at autonomous vehicle companies Waabi and TuSimple, will spearhead Genesis AI's commercialization and global partnership efforts. The hire comes as the company transitions from technology development to market deployment of its general-purpose robotics solutions.

While Baker McKenzie cut 1,000 support staff, the legal industry is simultaneously creating new AI-literate roles. Law firms favor smaller teams of AI-literate attorneys who can do more with less. The 2024 graduate employment rate hit 93.4%, the highest on record.

NASCAR hired its first director of artificial intelligence, promoting Richard Bowman from an AI operations specialist role he started at the beginning of 2026. Bowman will guide NASCAR's AI strategy across business operations, digital products, and commercial innovation. The racing organization has been experimenting with AI technology through pilot projects with OpenAI and other initiatives.

Hugging Face grew modestly to 665 employees by late 2025, adding approximately 30 positions. The company laid off 4% of staff in February 2025 but continued net growth. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Together AI grew from 287 to approximately 313 employees by late 2025, continuing to expand its open-source AI inference and training platform. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Mistral AI continued expanding to approximately 673 employees by late 2025, adding 173 positions from its 500-employee base, as it competed with OpenAI and Anthropic in the frontier model space. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Cursor grew from ~60 to ~300 employees in 2025, adding ~240 roles as AI coding adoption surged. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Developer Tools, as companies race to build out their machine learning and AI infrastructure teams.

Weights & Biases, the MLOps platform founded in 2017, grew to approximately 304 employees. The company was acquired by CoreWeave for $1.7 billion, reflecting the value of AI infrastructure tooling. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

AI inference chip company grew to ~644 employees. Revenue $172.5M in 2025. Nvidia acquisition deal announced. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Chips/Inference, as companies race to build out their machine learning and AI infrastructure teams.

Google DeepMind continued expanding to approximately 7,000 employees across 6 continents by October 2025, adding roughly 1,400 positions from the 5,600 headcount in 2024. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Humanoid robotics company grew from ~163 to ~422 employees. Valuation $39B. Building BotQ factory for 12,000 humanoids/year. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Cohere roughly doubled its workforce from 400 to approximately 814 employees by July 2025, adding 414 positions as enterprise demand for its AI models surged. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

OpenAI continued its aggressive hiring, growing from 3,531 to approximately 5,300 full-time employees by July 2025, a 718% increase from the 770 employees in November 2023. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Aleph Alpha expanded from roughly 200 to over 300 employees by mid-2025, adding approximately 100 positions as the Heidelberg-based company grew its sovereign AI platform for European clients. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Legal AI company grew from ~340 to planned ~1,043 employees after $300M Series C at $5B valuation. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Enterprise AI search company grew from ~1,323 to ~1,475 employees. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Japanese AI research company founded 2023, grew from 3 to ~138 employees. Founded by ex-Google Brain researchers. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Waymo grew from ~800 (2023) to ~2,500 employees (2025). Valuation $126B after $16B round. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Autonomous Vehicles, as companies race to build out their machine learning and AI infrastructure teams.

Databricks continued its growth trajectory to approximately 8,000 staff globally by 2025, a 6x increase from 2020, driven by surging enterprise demand for AI infrastructure and its $3.7 billion annual revenue. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence/Data, as companies race to build out their machine learning and AI infrastructure teams.

Anthropic grew to 1,097 employees by 2025 and announced plans to triple its international headcount, opening offices in Paris and Munich to expand its European presence. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Perplexity AI expanded from approximately 60 to 247 employees by 2025, adding 187 positions as the AI search startup raised its valuation to $18 billion. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Replit recovered from 2024 layoffs, growing from ~70 to ~335 employees. AI Agent product drove hiring surge. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Developer Tools, as companies race to build out their machine learning and AI infrastructure teams.

Continued explosive growth to ~7,000 employees, adding ~2,600 more roles in 2025. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Defense AI, as companies race to build out their machine learning and AI infrastructure teams.

Clinical documentation AI company grew to ~514 employees. $117M ARR, $5.3B valuation. Raised ~$800M total. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Healthcare AI, as companies race to build out their machine learning and AI infrastructure teams.

AI video generation company grew from ~198 (2023) to ~661 employees (2026), adding ~460 roles. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Defense AI company grew from ~290 to ~1,319 employees. Revenue ~$267M, growing 64% YoY. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

CrowdStrike simultaneously hired ~500 new AI-focused roles in cybersecurity AI, shifting workforce from traditional to AI-native functions. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Technology, as companies race to build out their machine learning and AI infrastructure teams.

Runway ML expanded from approximately 200 to 382 employees by April 2025, a 64% headcount increase, as the company continued developing AI-powered video generation tools. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Artificial Intelligence, as companies race to build out their machine learning and AI infrastructure teams.

Cursor AI coding assistant maker grew to ~60 employees by March 2025. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Developer Tools, as companies race to build out their machine learning and AI infrastructure teams.

Infosys is hiring 15,000+ digital transformation experts as it pivots from traditional IT services to AI-driven solutions, even as it slows down fresher onboarding. There is strong evidence linking these cuts to AI adoption, with company leadership referencing automation and efficiency gains in public statements. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

While cutting 12,000 traditional roles, TCS simultaneously targets hiring 12,000+ AI specialists for 2025, reflecting the shift from traditional IT to AI-first service delivery. There is strong evidence linking these cuts to AI adoption, with company leadership referencing automation and efficiency gains in public statements. This hiring reflects the growing demand for AI talent in IT Services, as companies race to build out their machine learning and AI infrastructure teams.

Despite also cutting some roles, Accenture hired over 77,000 AI and data professionals in 2025, representing one of the largest AI hiring surges by any company. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Professional Services, as companies race to build out their machine learning and AI infrastructure teams.

AWS committed over $40 billion across Pennsylvania ($20B, 1,250 jobs), Georgia ($11B), and North Carolina ($10B, 500 jobs) to build AI data centers and infrastructure. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in Cloud Computing, as companies race to build out their machine learning and AI infrastructure teams.

Enterprise AI platform grew significantly, reaching $84M revenue in 2024. Estimated ~400 employees. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

AI infrastructure company at ~403 employees. Pivoted from training to inference in 2025. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

Chinese AI research lab grew to ~160-200 employees. Known for efficient LLM training techniques. The company explicitly cited AI and automation as a primary driver of the workforce reduction. The expansion demonstrates the dual nature of AI's impact on employment — while some roles are eliminated, new positions are being created in AI development, deployment, and management.

NVIDIA grew from ~29,600 to ~36,000 employees (21.6% growth) as AI GPU demand exploded. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Chips/GPUs, as companies race to build out their machine learning and AI infrastructure teams.

AI content platform grew to ~206 employees. Acquired by Fullcast in Oct 2025. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Content/Marketing, as companies race to build out their machine learning and AI infrastructure teams.

AI video and 3D generation company grew to ~224 employees. The company explicitly cited AI and automation as a primary driver of the workforce reduction. This hiring reflects the growing demand for AI talent in AI Video/3D, as companies race to build out their machine learning and AI infrastructure teams.