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Chronicles

The story behind the story

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At I/O 2023, Google Assistant was an afterthought, superseded by Bard, a notable omission after Assistant took center stage at multiple previous I/O keynotes

Google's generative AI chatbot Bard took center stage at the company's I/O conference.  The company's answer to Siri was left backstage.

Wired Khari Johnson

Context & Ripple Effects

Google introduced Assistant in 2016 as a major upgrade to Google Now, but by I/O 2023 its product narrative had shifted toward Bard. Days before the conference, Google had expanded Bard’s English availability to 180 countries and territories and outlined planned service integrations.

The keynote emphasis matters because it signaled that Google was prioritizing a generative-AI interface over the established voice-assistant story. That direction was later made concrete in Assistant with Bard, which brought generative capabilities into the mobile assistant.

First-order effects

  • Bard became Google’s primary public-facing AI product at I/O, while Assistant received less strategic visibility despite its earlier prominence.
  • Google’s assistant roadmap was implicitly recast around generative AI rather than incremental improvements to the existing conversational assistant.

Second-order effects

  • Google had to connect Bard’s generative capabilities to Assistant’s mobile distribution, as reflected in the later mobile Assistant with Bard announcement.
  • Rival assistant platforms, including Siri, faced a clearer competitive benchmark: assistants would increasingly be judged on open-ended generation and task planning, not only voice-command execution.

Third-order effects

  • The boundary between chatbot and device assistant may erode as providers use generative models as the interaction layer for established mobile services.
  • This is an early move toward the Assistant revamp around generative AI, where the strategic value of an assistant depends on combining model capabilities with distribution and service access.

The trend: Consumer assistants are being reworked from command-driven voice tools into generative AI work surfaces embedded in existing device ecosystems.