In April 2026, Google Cloud announced a $750 million fund to upskill its partner network in agentic AI. OpenAI committed $150 million in grants for digital wellbeing and teacher training. Cognizant launched an entirely new AI-native learning platform. NVIDIA signed deals with state governments to certify teachers through its Deep Learning Institute.
The corporate world is spending billions to make sure its people understand AI. Schools are expected to do the same thing with a CPD budget that would not cover a term's worth of photocopying.
The money is real. The gap is real.
Google's $750 million is going to 120,000 partners to build capability in AI prototyping, deployment, and workforce skills. That is $6,250 per person, roughly, if you spread it evenly. Your school's entire professional development budget probably would not cover one teacher at that rate.
OpenAI's $150 million is more interesting for schools. Part of it funds Code.org to engage 25 million learners in an "Hour of AI" and build open-source high school curricula. Part of it funds IBM to skill two million learners by 2028. Part of it puts ChatGPT directly into districts covering 150,000 teachers, with free training through the OpenAI Academy.
That sounds generous. And it is. But there is a catch. These programmes train teachers to use specific products. They do not train teachers to think critically about AI across their own subject. A History teacher who completes an OpenAI training module knows how to use ChatGPT in the classroom. She does not necessarily know how to connect the concept of algorithmic bias to source evaluation, or how to help students understand why an AI-generated timeline might omit inconvenient facts.
Product training is not the same as literacy.
What the corporate world understands that schools do not
Josh Bersin, one of the most cited analysts in corporate learning, published research in early 2026 showing that 74% of major corporations say their training systems are failing entirely to keep pace with the demand for new skills. The corporate L&D market is worth $400 billion globally and most of it is broken.
The companies that are getting it right have stopped thinking about AI training as a course. They are building it into the flow of work. Cognizant's new platform does not pull workers out of their jobs for a training day. It delivers learning conversationally, in context, matched to the actual task the worker is doing.
Schools could learn from that model. The most effective AI literacy training for a Geography teacher is not a lecture about machine learning. It is a tool that takes her existing lesson on climate data and shows her exactly where AI literacy connects to it. In the moment. In context. In her subject.
That is what corporate L&D is moving towards at the cost of billions. Schools need the same thing and they need it for a price they can actually pay.
NVIDIA is doing something schools should watch
NVIDIA's approach is different from the other tech giants and it is worth paying attention to.
In Utah, NVIDIA signed a deal to certify teachers through its Deep Learning Institute University Ambassador Programme. Public school teachers get access to teaching kits and GPU-accelerated cloud workstations. In California, NVIDIA partnered with a city government to connect high school robotics programmes directly to higher education and municipal infrastructure.
This is not product placement. It is pipeline building. NVIDIA is investing in the teaching profession itself, not just pushing its tools into classrooms. The bet is that if teachers understand the technology deeply, the students they teach will be better prepared for the industries NVIDIA serves.
That model, investing in teachers as the multiplier, is exactly right. One trained teacher reaches 150 students a year. Train 100 teachers and you have reached 15,000 students. The leverage is enormous.
What this means for your school
The money flowing into corporate AI skills is staggering. $750 million here, $150 million there, $400 billion in a global L&D market that is being rebuilt from scratch. Schools are watching from the sideline with empty pockets.
But the core insight from corporate L&D applies directly to schools: training works when it happens in context, connected to the actual work the person is doing, not in a separate event that gets forgotten by the following week.
For teachers, that means AI literacy training that starts with their lesson, their subject, their students. Not a generic INSET. Not a product demo. A tool that says: here is your Year 9 lesson on coastal erosion. Here are four ways that lesson connects to AI literacy. Here are the coaching notes. Here is the support, challenge and differentiation built in. Here is how it aligns to the frameworks you will be measured against.
That is AILitKit. It costs less than a single seat at a corporate AI training programme. And it works the way the best corporate L&D has worked out it should: in context, in the moment, connected to the real work.
Matthew Wemyss is the founder of AILitKit and IN&ED, and author of AI in Education: An Educator's Handbook.