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Google DeepMind’s Chief AI Readiness Officer, Lila Ibrahim, says preparing for AI is not only a matter for technology companies. Workers need time to try AI, schools should help students understand its capabilities and limits, and communities affected by its use should have a voice in shaping decisions. Those are her views in an interview with CNBC’s Julia Boorstin, reproduced in a syndicated copy dated October 6, 2026.
What does AI readiness mean to Lila Ibrahim?
Ibrahim frames readiness as helping people and institutions adapt as AI becomes part of everyday work and education. The focus, in her account, is not simply whether an organization has adopted technology; it is whether people understand how it is being used and can help shape that use.
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She says she believes AI’s benefits can outweigh its risks, while emphasizing that the future is not predetermined: “While I might not know what it will do, I know that we still can – we have the agency to shape how we get there.”
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Make time to learn by using it
Ibrahim’s advice is practical: “You have to start using AI yourself and create the time and space to do it.” That means treating experimentation as part of learning rather than waiting until every use case is settled. She also says people need not be “the smartest in the room” to participate in that process.
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Ask where AI helps—and where it does not
For team discussions, she uses three questions: “How are you using AI?”, “What would help you use it more?”, and “Where are you not using AI?” Together, they can reveal useful applications, obstacles to adoption, and areas where an organization wants people to continue developing their own skills. The questions are a way to start a conversation, not a claim that every task should be automated.
Use AI to support work, not assume it replaces judgment
Ibrahim describes using AI to synthesize briefing documents so she can absorb information more quickly. She says that has helped both her and the team preparing the material, leaving more room for higher-value thinking. Her example is about handling information; it does not establish that AI can replace judgment or eliminate all work.
She captures the distinction with a line: “AI can help automate all of my tasks, but it cannot automate my Tuesdays.” In context, the point is that a list of tasks does not encompass the full shape of a person’s working life.
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What should schools teach students about AI?
Ibrahim argues that preparation should begin before students enter the workforce. She wants teachers to lead exploration of where AI use makes sense, while students develop literacy about what the technology is and is not, and what responsible uses look like.
That is her perspective from an interview, not an independently evaluated education intervention or a formal policy standard. It puts teachers in the lead rather than treating AI literacy as simply giving students access to a tool.
Why does community agency matter?
Ibrahim argues that people affected by AI should be included in decisions about how it is used. “You can’t shape the right future unless you do so with the communities that it’s going to impact,” she says. This is an argument for participation; it should not be taken as evidence that current AI deployment processes already give affected communities that voice.
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What preparation does she consider durable?
Alongside hands-on experience, Ibrahim points to continuous learning, curiosity, and resilience as useful ways to navigate change. She says, “One of the things that I think is going to be important is continuous learning.” Her emphasis is on maintaining the ability to adapt, rather than assuming that one course or a single round of tool training will settle the question of readiness.
Who is Lila Ibrahim?
The syndicated interview copy describes Ibrahim as Google DeepMind’s Chief AI Readiness Officer, says she studied electrical engineering and worked on Intel’s Pentium processor, and notes that she appeared on CNBC’s 2025 Changemakers list. Those biographical details are reported in the syndicated copy rather than independently verified here.
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Read the syndicated copy attributed to CNBC.
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