Happy Friday, Tech Bite family 🎉
And welcome to the first Tech Bite of the new year.

As 2026 gets going, today’s issue looks at where big money is moving, why enterprise AI still feels like “next year’s story,” and how AI demand is starting to affect everyday hardware.

In today’s Tech Bite:

Let’s dive into today’s bite 🍪

🚀 Quick Take:

This is SoftBank making a long-term AI commitment, not a short-term funding move.

📝 What’s New:

SoftBank has now fully completed its roughly $40 billion investment into OpenAI, according to sources. The final payment was sent recently, taking SoftBank’s stake to about 11%.

The deal values OpenAI at around $260 billion pre-money. Part of this capital is expected to support large-scale AI infrastructure, including data centers and compute partnerships.

🧠 Why It Matters:

This shows where the real AI race is heading.

The focus is shifting from just building smarter models to owning infrastructure and scale. By committing this deeply, SoftBank is signaling that only a few players will be able to compete at the top level of AI over the long run.

Big money is now chasing control and capacity, not experiments.

No sponsor in today’s issue.

If you’re a tool, product, or startup that fits The Tech Bite audience, this spot is open.

🚀 Quick Take:

VCs are confident again, but enterprises are still waiting to see real value from AI.

📝 What’s New:

According to a survey by TechCrunch, most enterprise-focused VCs believe 2026 will be the year companies finally adopt AI at scale and see meaningful returns.

That optimism has been repeated for the last three years. Meanwhile, an MIT survey found that 95% of enterprises still aren’t seeing meaningful ROI from their AI investments. Many companies are experimenting, piloting tools, or spreading budgets across too many vendors without clear outcomes.

🧠 Why It Matters:

This gap explains a lot.

Enterprises don’t struggle with interest; they struggle with integration, reliability, and accountability. The shift now is away from “try everything” toward fewer tools that actually fit workflows.

If 2026 turns out to be different, it won’t be because AI got louder it’ll be because it finally became boring, dependable, and embedded.

🚀 Quick Take:

AI demand is squeezing the PC market so hard that Asus may be forced to rethink how it gets even basic components.

📝 What’s New:

🧠 Why It Matters:

A few tools that caught my eye today 👇

Griply: An all-in-one app for goals, habits, tasks, and planning. Good for people who want progress tracking, not just endless to-do lists.

Blober.io: Makes it easier to move files between different cloud providers.
Useful if your data is spread across multiple storage platforms.

Bloom: Turns a website into a living brand system and helps create on-brand assets. Handy for teams trying to keep branding consistent as they scale.

“Big AI promises are exciting, but real value usually shows up in small, boring improvements that actually stick.”

Thank you for reading today’s edition. That’s all for today’s issue.

I would love to hear your thoughts on today’s issue.

Did you enjoy this issue? Your feedback helps make every bite better.

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💡 Help me get better and suggest new ideas at @Darshan_tmg or reply in comments

See you at the next one
Darshan, signing off ✌️