Panther Lake-powered laptops are suddenly everywhere in the premium PC conversation, and for good reason. Intel’s new-generation chipsets promise to deliver not just strong but future-proof AI performance, longer battery life than ever, better graphics, and a rejuvenated push for thin-and-light Windows laptops that can do more than ever before. Over the past few weeks, I have been using Panther Lake-powered machines. In early March, I used the Asus Zenbook Duo 2026, and for about a month and a half, almost two, I have been using the Samsung Galaxy Book 6 Ultra. My experience so far with the Galaxy Book has been genuinely impressive. But beyond being impressive, what really matters is that battery life feels better, performance feels sharper, and the overall experience feels more polished on a Windows machine.
Against that backdrop, I had a chance to sit down with Gokul V Subramaniam, President of Intel India, to discuss what Panther Lake really brings to users in 2026 and beyond. Here are some key excerpts from the conversation.
According to Gokul, the ‘everyday user’ itself has changed. He says users today fall into multiple categories, and Panther Lake has been designed to serve all of them.
For creators, that means significantly better graphics performance for tasks like media editing, content creation, and visual workloads. For gamers, Intel claims a major leap in graphics capability, helping not just gameplay but even game creation workflows. Features like multi-frame generation are expected to make gameplay smoother and more responsive.
For professionals and office users, the focus shifts to battery life and productivity. Gokul pointed to figures such as up to 17 hours of productivity usage and nearly 9 hours of Microsoft Teams usage with background effects like blur and noise suppression enabled.
Then there is another growing category: developers. ‘Everybody is a developer now,’ he said, referring to how more users are experimenting with AI tools, models, coding assistants, and local agents. Panther Lake, in Intel’s view, is built to support that shift.
The term ‘AI PC’ has been thrown around heavily in the last two years, often without clear real-world examples. So I asked what users should genuinely expect.
Gokul explained that modern AI PCs now rely on three computing engines: the CPU, GPU, and NPU. The idea is to distribute workloads smartly, so AI tasks do not slow down everything else you are doing.
He gave an example of running a local financial AI model connected securely to APIs such as trading platforms. In that scenario, a user could ask questions like what is happening in the market, how a stock is moving, or what it means for their portfolio, while keeping data local.
At the same time, the laptop should still have enough headroom for a video call, spreadsheets, browsing, or other background tasks. That balance, according to Intel, is where dedicated AI hardware starts to matter.
Panther Lake is the first Intel client chip built on Intel’s 18A process node, one of the company’s most important milestones in recent years.
Gokul highlighted two key technologies behind it: RibbonFET and PowerVia.
RibbonFET is Intel’s gate-all-around transistor design, aimed at delivering better efficiency and performance at lower voltage. PowerVia separates signal and power routing in the chip, improving density and power delivery.
That sounds highly technical, but the user-facing result is simple: better battery life, stronger sustained performance, and improved efficiency.
And honestly, that tracks with what I have seen so far. My Galaxy Book 6 Ultra has been consistently delivering all-day battery life in ways older Windows laptops often struggled to match. In fact, I can go on to say that if I am not gaming on the Galaxy Book 6 Ultra, for my regular office work, 10 am to 7 pm, the battery life is on par with an M5-powered MacBook Air.
This is where things get interesting. Apple’s M-series chips are known for their commendable battery life, while AMD, as a brand, has built a solid reputation for offering that raw performance in its chipsets.
Intel’s take on the idea of competing with its competitors, or at least from Gokul, is balance.
He pointed to integrated graphics as a major strength. Intel claims there are scenarios where Panther Lake’s integrated graphics perform significantly better than competing integrated solutions, with some benchmarks showing large gains.
He also said modern AAA gaming workloads that once needed entry-level discrete GPUs are now increasingly possible on integrated graphics alone. That may not replace a proper gaming laptop, but it does open doors for thinner machines that can still game casually, edit videos, and handle creative tasks.
Then there is Intel’s long-standing advantage in the Windows ecosystem, software compatibility, enterprise deployments, security tools, and manageability features that large businesses continue to value.
One of the most noticeable trends in laptops today is the demand for portable machines that don’t compromise on performance.
I brought up the Galaxy Book 6 Ultra, which is not exactly ultra-thin, but far slimmer and lighter than traditional gaming laptops despite offering serious performance chops.
Gokul said Intel works closely with OEM partners using reference designs that help enable thin systems running up to 45W sustained workloads while keeping fan noise low and temperatures under control.
He said Intel’s role goes beyond the chip itself. The company also works on motherboard design, thermal architecture, fan tuning, and system-level optimisation alongside laptop makers.
That matters because users do not buy processors in isolation. They buy complete laptops.
Intel has repeatedly said India played a major role in Panther Lake, and I wanted specifics.
Gokul said Intel India teams contributed across multiple areas, including memory IP, debug systems, interconnects, CPU core work, graphics capabilities, firmware, drivers, validation, platform quality, and reference designs.
He also highlighted developer kits built in India that are sent to software partners before final production silicon is ready, helping developers optimise apps early.
In short, India was not just a support centre here. It was very much part of the Panther Lake product story.
Right now, most Panther Lake machines sit in the premium segment. But Intel says the broader strategy is wider than that.
Gokul explained that Panther Lake itself comes in multiple configurations across Core Ultra 3, 5, 7, and 9 tiers, depending on the product.
Alongside that, Intel is also pushing more affordable AI PCs through other platforms such as Wildcat Lake and Core Series chips, aimed at mainstream buyers, education, families, and small businesses.
So while Panther Lake may start premium, expect to see AI PCs, as a category, clearly moving downward in price over time.
Unlike smartphones, many buyers keep laptops for four to five years, so future readiness definitely matters.
Gokul believes Panther Lake arrives at the right moment. He said the growth of smaller AI models, local AI processing, hybrid AI systems, and agent-based computing has accelerated faster than many expected.
Also read: Asus Zenbook Duo 2026 review: Panther Lake makes this the best multitasking laptop I’ve used
That means hardware once considered ahead of its time may become useful sooner than predicted.
He added that Panther Lake is built not just for today’s apps, but for where computing is heading next.
I ended with a simple question: if someone is confused between a Panther Lake laptop, an Apple MacBook, or an AMD-powered Windows machine, why choose Intel?
His answer was flexibility.
He argued that modern users are no longer just one type of person. A professional might also stream Netflix, game casually, travel often, create content, code, or run AI tools. A student may need productivity by day and entertainment by night. An entrepreneur may want to build apps and experiment with AI models.
Intel’s pitch is that Panther Lake can serve all of those roles in one machine.
And after spending time with these new laptops myself, that may be the strongest argument of all.