Overview of Who Wins The AI Assistant Wars? + Why Didn’t Google Build Muse?
In this episode of Big Technology Podcast, Alex Kantrowitz and M.G. Siegler break down the rapidly intensifying “personal AI assistant wars.” They discuss why these products may have finally crossed the threshold from novelty to durable consumer behavior, what the likely killer use cases are, and which companies are best positioned to win. The conversation also tackles why Google, despite owning Gmail, Calendar, Search, Android, and other core surfaces, appears to have missed the moment so far.
Main Thesis: AI Assistants Are Probably Here to Stay
Siegler argues that personal AI assistants are not a flash in the pan. Instead, they appear to be an emerging product category with real staying power because:
- The underlying models finally exist to make assistants useful.
- Natural-language interfaces lower the barrier to entry.
- Early products can now connect to real services and take action, not just chat.
- Trust and habit will build gradually through repeated, small wins.
He expects one or a handful of AI assistants to become part of everyday life, even if mass adoption takes time.
Why This Moment Feels Different
Siegler says the category has long suffered from two problems:
Blank Page Problem
Users don’t know what to ask an assistant to do.
Boil-the-Ocean Problem
Builders try to solve everything at once instead of delivering one obvious, compelling win.
What’s changed now is that product teams are beginning to solve those problems with:
- proactive suggestions,
- guided prompts,
- and narrow, high-value tasks that feel magical.
He thinks the early wins are likely to come from assistants that nudge users, rather than expecting users to discover all use cases themselves.
The Most Promising Early Use Cases
A major theme of the discussion is that the best assistant use cases may be practical and money-saving, not flashy.
Strong Use Cases Mentioned
- Reviewing expenses or credit card bills
- Optimizing which card or account to use for a bill
- Finding unused subscriptions and suggesting cancellations
- Monitoring recurring payments and flagging savings opportunities
- Doing lightweight, trusted administrative tasks
Siegler emphasizes that users are more likely to adopt assistants that can save them money or reduce friction immediately.
Competitive Landscape: Who’s in the Fight?
The episode surveys the main players in the AI assistant race:
- Instinct
- Meta / Muse
- OpenAI / Dots
- Microsoft / Copilot
- Google / Spark
- Anthropic as the notable absent major competitor
- Apple as a potential dark horse
- Amazon and GrokBot also get mentioned
Instinct: The Early Startup That Started the Trend
Siegler credits Instinct with helping kick off the current wave. He liked the product’s approach because it:
- piggybacked on existing messaging habits,
- made onboarding feel easy,
- and leaned into proactive help.
But he also notes the startup is at a major disadvantage compared to Big Tech:
- no huge distribution platform,
- no built-in ecosystem,
- reliance on external models/cloud infrastructure,
- and likely difficulty scaling against entrenched players.
He describes Instinct as potentially a “Switzerland” play: a neutral assistant not tied to a giant rival ecosystem.
Meta’s Muse: The Strongest Consumer Play
Siegler is surprisingly positive on Meta’s product, Muse, despite his long-running skepticism toward Meta as a company.
Why Muse Stands Out
- It launched early and appears polished.
- It uses Meta’s own infrastructure.
- It includes WhatsApp integration, which is a major advantage.
- It has a standalone security model with cloud-based virtual machines.
- It feels intentionally designed to overcome user trust issues with Meta.
He says Meta did a good job making the product feel functional and useful from day one.
Meta’s Big Advantage
Meta has massive consumer distribution across:
- Facebook Messenger
That gives it a powerful path to scale the consumer side of the assistant market.
OpenAI’s Dots: Strong Product, More Enterprise-Leaning
Siegler views OpenAI’s Dots as a serious contender, but somewhat different from Meta’s consumer-first approach.
What Dots Does Well
- Has a “cutesy” consumer-friendly interface
- Can take control of the browser and desktop
- Feels powerful and deeply integrated
- Benefits from OpenAI’s existing user base
The Tension
He sees OpenAI as straddling two identities:
- consumer leader via ChatGPT,
- but also increasingly enterprise-focused.
That creates strategic ambiguity, though he still thinks OpenAI has strong product instincts and a real shot to win.
Microsoft’s Copilot: Enterprise Focused
Microsoft’s newly unified Copilot is framed as the company’s enterprise-oriented answer to the assistant wars.
Microsoft’s Position
- Strongest in enterprise distribution
- Wants to keep workplace users in its ecosystem
- Likely to compete directly with OpenAI in business contexts
Siegler suggests Microsoft is happy to dominate the work side even if it never becomes the most beloved consumer assistant.
Why Google Looks Like the Biggest Miss
One of the episode’s sharpest critiques is aimed at Google.
Siegler says Google has everything it needs:
- Gmail
- Calendar
- Search
- Android
- massive user scale
- deep AI talent
- and a huge infrastructure advantage
But it still looks behind.
What Went Wrong
- Too many internal teams and incentives
- Product confusion and overlapping initiatives
- Overpromising at Google I/O before products were ready
- No clear, unified assistant strategy
He argues Google keeps getting in its own way and failing to present a clean, compelling assistant product.
Core Problem
If Google launches too many overlapping assistant products, users won’t know which one to trust or use.
Trust Is a Major Battleground
A major repeated theme is trust.
Meta Has a Trust Problem
People may hesitate to give Meta access to:
- Gmail
- Calendar
- personal data
- and workflow permissions
Google Has a Reliability Problem
Even though people trust Google’s data access more, they may not trust Google to stay focused or execute consistently.
Apple Has a Trust/Usage Problem
Apple may eventually win by default because its assistant is built into billions of devices, but users may simply forget to use Siri—even if it is finally good.
Anthropic’s Missing Position
The hosts also discuss Anthropic’s absence from this assistant race.
Siegler thinks Anthropic may eventually move into this space, but for now it seems more focused on:
- coding
- productivity
- and professional workflows
He notes that Anthropic already moved the market with Claude Code and Claude’s work-oriented capabilities, but hasn’t yet made a strong consumer personal-assistant push.
The Likely Winner: A Few Different Winners, Not Just One
Siegler believes the category may not have a single universal winner.
His Core View
There may be:
- one winner in consumer
- one winner in enterprise
- and possibly a broader converged assistant later on
He thinks the best-positioned companies today are:
- Meta for consumer distribution
- OpenAI for overall product quality and broad adoption
- Microsoft for enterprise
- Apple as a late but powerful default winner
Alex’s Take: OpenAI and Apple
Kantrowitz says he thinks OpenAI will win because:
- it has strong product chops,
- a large user base,
- and a more comfortable trust profile than Meta for many users.
He also names Apple as a dark horse, since it has:
- device-level access,
- deep integration with system apps,
- and a huge installed base.
Final Takeaway
The episode’s bottom line is that the AI assistant wars are just beginning, but they are already becoming a serious strategic battleground. The biggest winners will likely be the companies that can combine:
- trust,
- distribution,
- useful integrations,
- and a clear product identity.
For now, the strongest contenders appear to be Meta, OpenAI, Microsoft, and Apple, while Google looks strangely absent despite having every ingredient it needs.