
This VPN will pay for your next Amazon order
It's an absolute steal of an offer from NordVPN.
Not only do you get 76% off the 2-year plans – and 4 months extra thanks to our exclusive Tom's Guide discount – but there's also a free Amazon gift card with your NordVPN subscription too.
In terms of value, this is great. Factoring in the gift card, you're basically getting all the extras on the Plus plan for the price of the Basic plan, as well as 28 months of cover for the price of 24. Happy days.
Want to get in on the act? Here's how to claim yours.
NordVPN Plus: get a free $20 Amazon gift cardBoasting lightning fast speeds, great features, streaming power, and class-leading security, NordVPN is our #1 best VPN overall.What you'll get...• Protection for up to 10 devices• 950 Mbps+ speeds• Streaming service unblocking, including Netflix• Post-quantum encryption• Ad-blocker• Anti-virus• NordPass password manager• 30-day money-back guarantee• $20 Amazon gift card (for a limited time)• 2-year deal + 4 months free for $3.76 per month ($105.36 up front, discount applied at checkout)
Gift cards are available in the US, UK, Australia and Canada.
This is a deal in two parts – and both the gift card and the 4 months free are exclusive to Tom's Guide.
I've included the link you need to get it on this page. Gift cards aren't available on the Basic plan, but the additional months of coverage apply to every subscription. To claim yours, just click the link, and head through to the NordVPN website.
A quirk I've noticed is that the first page you land on doesn't mention the 4 months free. You need to click through to the dedicated pricing page to see that. It seems unusual not to make this as prominent as possible but… you'd have to ask NordVPN for the answer to that one.
Then, all you need to do is take your pick of the plans on offer.
My advice is to take the NordVPN Plus plan, which means you'll get a $20 gift card. I'm a big fan of Threat Protection Pro, so that's a must, but most people won't need NordLocker or cyber insurance.
However, if you'd like the full package, you can get an even bigger gift card of up to $50 – and the higher tiers are also excellent value in terms of tools you get. All the plans come with a 30-day money-back guarantee so you can make sure it's right for you before you commit.
The gang at NordVPN are no fools – you won't get your Amazon gift card until after the 30-day refund period is up. That's perfectly fair, but it does mean that you won't get it in time for Amazon Prime Day. However, you can add it to your stash for Black Friday, or treat yourself to something nice in a month's time.
The delivery of the gift card is pretty simple. After the refund period is up, you'll simply get an email through to the address you signed up with containing a link to the gift card. Then you just need to add it to your Amazon account.
Yes. If you're in need of a quality VPN, this is easily the best VPN deal going right now. I'd recommend it even without the additional Amazon gift cards – NordVPN very rarely drops below $3 per month – so this double deal is doubly appealing.
Of course, there are cheaper VPNs available in monetary value alone, but this deal gives the best price we've seen on NordVPN since last Black Friday back in November.
Most interestingly, though, is the fact that when you factor in the gift card, a NordVPN Plus subscription ($105.36 in total, minus $20 = $85.36) works out in total about the same as the Basic plan ($81.36 in total), which gives you no gift card. That means you get Threat Protection Pro for 28 months in exchange for a measly $4.
That looks like a bargain if I've ever seen one. Now, I've got a month to come up with the best way to spend my $20 gift card…
Visit the NordVPN website to claim your 4 months free and Amazon gift card.
We test and review VPN services in the context of legal recreational uses. For example: 1. Accessing a service from another country (subject to the terms and conditions of that service). 2. Protecting your online security and strengthening your online privacy when abroad. We do not support or condone the illegal or malicious use of VPN services. Consuming pirated content that is paid-for is neither endorsed nor approved by Future Publishing.
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Across his organization, the AI system was uncovering hidden learning patterns and optimizing development paths in ways human trainers never could. Welcome to the future of employee training, where artificial intelligence doesn't just deliver content – it understands how each individual learns best and adapts accordingly. Traditional corporate training operates on a fundamental assumption: what works for most people will work for everyone. This assumption has created generations of generic courses that bore some employees, overwhelm others, and leave many feeling like their time was wasted. The statistics are sobering. Research from the Corporate Learning Network shows that only 25% of employees find their company's training programs engaging. Even worse, just 12% apply new skills immediately after training completion. But what if training could be as personalized as Netflix recommendations or Spotify playlists? At pharmaceutical giant Pfizer, this isn't a hypothetical question anymore. Their AI-driven learning platform analyzes over 200 data points for each employee – everything from role requirements and career aspirations to learning pace and content preferences. When molecular biologist Dr. Sarah Chen needed to develop project management skills for a new leadership role, the system didn't enroll her in a generic management course. Instead, it created a customized learning path combining short video modules (matching her preference for visual content), case studies from pharmaceutical contexts (leveraging her existing domain knowledge), and peer discussions with other scientist-managers (addressing her need for relevant role models). 'It felt like having a personal learning coach who actually understood my background and goals,' Dr. Chen explains. 'Instead of sitting through irrelevant examples about manufacturing or retail, every case study resonated with my daily challenges.' 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Software engineer Miguel Rodriguez discovered he was what the system labeled a 'spiral learner' – someone who needs to encounter concepts multiple times in different contexts before achieving fluency. Traditional courses frustrated Miguel because they presented information once and moved on. The AI system adapted by providing multiple touchpoints for key concepts. Miguel would encounter new programming frameworks first through brief overviews, then through hands-on exercises, later through peer discussions, and finally through real project applications. 'It stopped feeling like I was slow or struggling,' Miguel recalls. 'The system just gave me information in the way my brain needed to receive it.' Perhaps the most powerful aspect of AI-driven training is its ability to predict learning needs before they become urgent. Instead of reactive training – addressing skill gaps after they impact performance – AI enables proactive development. 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The system could predict with 85% accuracy which employees were likely to seek promotion within the next 18 months, based on their learning engagement, skill development choices, and interaction patterns. This allowed UPS to provide targeted leadership development before employees even expressed interest in advancement opportunities. The result? Internal promotion rates increased by 40%, and employee satisfaction scores rose significantly. Static training content becomes outdated quickly. AI-powered systems can dynamically generate and update learning materials based on real-time business needs and individual progress. At financial services firm Goldman Sachs, their AI learning platform creates personalized case studies using current market conditions and each trader's specific portfolio challenges. Instead of learning from generic examples, traders practice with scenarios that mirror their actual daily decisions. The system continuously updates these scenarios based on market movements, regulatory changes, and individual performance patterns. A trader struggling with risk assessment receives more complex risk scenarios. Someone excelling at technical analysis gets advanced pattern recognition challenges. 'It's like having training that evolves with both the market and my personal development,' explains equity trader Lisa Kim. 'I'm not learning abstract concepts – I'm practicing exactly what I need to do better tomorrow.' The adaptive approach extends beyond content to delivery mechanisms. The AI notices if engagement drops during certain times of day, if particular content formats cause confusion, or if specific learning sequences prove more effective for different personality types. Leveraging formats like interactive videos can dramatically boost learner engagement by tailoring how content is experienced. As AI-driven training rapidly evolves to deliver deeply personalized experiences, the need for continuous validation and optimization becomes critical. This is where AI agentic test automation is making a profound impact. In modern employee learning platforms, where content adapts to unique learner patterns, schedules, and business needs, automated AI agents now play a central role in ensuring that every training path remains effective and engaging. Rather than relying solely on traditional manual reviews, AI agentic test automation actively simulates diverse learner interactions across personalized modules. These AI systems test new content formats, timing, and delivery methods, instantly flagging what truly resonates with employees and where engagement drops off. For organizations, this means potential issues in adaptive learning journeys are detected and resolved before they disrupt the learner experience. By embedding AI agentic test automation within personalized training ecosystems, companies can maintain high-quality, up-to-date content that accurately responds to each employee's evolving needs. Platforms offering interactive learning solutions help scale this personalization with dynamic content that adapts in real time. Whether it's optimizing delivery during a morning commute or refining test questions for specific learning styles, smart automation amplifies the impact of AI-driven personalization. The result is greater learning outcomes and the ability to scale innovation across employee development programs. The most sophisticated AI training systems don't just track learning activity – they connect learning outcomes to actual job performance. This creates powerful feedback loops that continuously refine training effectiveness. At consulting firm Deloitte, their AI platform correlates training completion with project outcomes, client feedback scores, and peer evaluations. The system can identify which specific learning modules correlate with improved performance and which might be ineffective time investments. When consultant Jennifer Walsh completed a negotiation skills program, the AI system tracked her performance in subsequent client interactions. It noticed that while her overall negotiation outcomes improved, she still struggled with objection handling in technical discussions. The system automatically recommended supplementary content focused specifically on technical objection handling, drawing from Deloitte's knowledge base and external resources. More importantly, it connected Jennifer with internal mentors who had successfully navigated similar challenges. 'It's like having a learning system that actually pays attention to whether I'm getting better at my job, not just whether I completed a course,' Jennifer explains. Implementing AI-powered learning isn't without obstacles. 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