私は新年を華々しくスタートさせるのが好きですし、ポッドキャストを始めること以上にふさわしい方法はないと思っています。あのフレーズは何だったかな……「Go big or go home」でした。
In taking on this podcast as the host going forward, I wanted to take the conversations with topics like AI to a more in depth and tangible feeling place. I’m incredibly passionate about this topic and my goal is to hold deep, useful conversations about where AI is headed and what it means for the folks who try to make it work every day, which I call the Future of Work.
まずは、この分野で AI について卓越した視点を持つお二人、ServiceNow社のFederal Chief Data Officerである Patrick McGarry氏と、AlteryxのLead Generative AI TechnologistであるJupiter Bakakeu博士にお話を伺いました。彼らは単なる論客ではありません。未来を現場で築きながら、AIが実際にどのように機能するのかを考え続けており、その現実を決して美化することはありません。
To get a taste of where this amazing conversation went, take a look at these 5 ideas from this episode that I think will shape the AI conversation this year:
1. エージェントが前提を変える
AI agents are moving away from the perception of just being smart assistants to shifting the entire landscape of how teams are formed and work is done.
Jupiter broke it down like this: Real agents don’t just generate answers; they perceive, plan, act, and learn. Once they start taking real-world actions (like modifying records or triggering workflows), the stakes go up. Fast.
I think Patrick nailed it: ”The moment AI can take action, you have to care about governance. Mistakes aren’t just wrong answers anymore. They’re real outcomes.”
This is where a lot of the hype falls apart. Cool demos don’t mean a system is safe, auditable, or even reversible.
2. 適切に委任する
Everyone’s excited about delegation, and for good reason, AI agents can be powerful teammates.
But just handing off everything is a sure way for disaster.
I loved Jupiter’s framework on this point: Look for tasks that are repeatable, reversible, and auditable. If it meets all three, go ahead and delegate. If not? Keep a human in the loop.
例:
- ファイルの整理や文書の分類
- 会議のスケジュール調整やレポートの要約
- 財務上の意思決定
- 確定申告の提出
Bottom line: Just because an agent can do something doesn’t mean it should. We need to be thoughtful about this part!
3. Voice is rising, but it’s not the end of the UI
We talked a lot about voice. Honestly? I’m bullish on it, especially for consumer use cases.
Voice lowers friction. It makes delegation feel more natural. And when it works, it feels like magic. But enterprise use cases? I’m willing to admit, that’s a taller order.
Patrick made a great point: ”Voice may feel natural, but governance needs the receipts.” When you’re working on regulated tasks or precision-heavy workflows, clicking a button is still safer than hoping an AI caught your meaning.
Jupiter was on the same page: “Voice should augment your interface, not replace it.”
ポッドキャストの最後のラピッドファイアのコーナーでは、音声は進化していくだろうが、当面はタイピングが主流であり続けるという点で両者の意見が一致しました。今のところは、私はコンピューターに話しかける側でいたいと思います。
4. 最大の障壁は技術ではない
One of the biggest myths in AI right now is that model quality is the bottleneck. It’s just not the case.
The real blockers are trust and cost.
We’re talking massive infrastructure needs and there’s a reason compute costs are exploding. Then layer on global regulations like the EU AI Act, amongst many others in flight, and you’ll understand what real constraints look like. AI won’t move forward with out a level of trust and a lower bill.
This makes tangible sense because guardrails matter. But it’s important to recognize that the path to scalable AI runs through modernization, governance, and data quality, not just cooler models.
Patrick summed it up wisely: ”The winners in 2026 won’t chase every new feature. They’ll be boringly compliant and quietly effective.”
私も同感です。
5. 最高の AI は目に見えない
One nugget of wisdom came up a few times: The most impactful AI might be the stuff we don’t even notice.
たとえば、Jupiterの事例です。彼はGoogle Drive全体を毎晩自動で整理・分類するバックグラウンドエージェントを構築しました。派手さも追加の作業もなく、ただ自動的にタスクが片付き、自分で意識する必要もありません。
That’s the bar we should be aiming for. AI that fits into your life or workflow quietly doing what needs to be done, without creating new risks.
それでは革命的でも急進的でもない、と言う人もいるかもしれません。しかし、私はそうは思いません。毎日 1% ずつ向上する人が増えていけば、世界は短期間で大きく変わります。
We’re past the phase where AI is the shiny new toy. We’re in the phase where people are seeing the way forward and becoming strategic and deliberate about the path.
That shift from answers to action is what 2026 is all about.
Listen to the full episode here: 🎧 Alter Everything Podcast: What Does AI Look Like in 2026?
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