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The Key To Staying Relevant In The Age Of AI

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In today’s rapidly evolving technological landscape, artificial intelligence (AI) is transforming industries, reshaping the workforce, and redefining the rules of competition. What was once science fiction is now embedded in our everyday lives—from intelligent virtual assistants and automated customer service bots to advanced predictive analytics in healthcare and finance. As AI continues to expand its capabilities, individuals and organizations face an urgent question: How do we stay relevant in the age of AI?

The answer lies not in resisting the inevitable, but in adapting to it, embracing a mindset of lifelong learning, cultivating uniquely human skills, and strategically leveraging AI as a collaborator rather than a competitor.

1. Embrace Lifelong Learning

The most crucial shift in the AI era is a philosophical one: learning must never stop. In the past, a university degree could set the course for an entire career. Today, the half-life of skills—the time it takes for a skill to become half as valuable—continues to shrink, with estimates placing it at around five years or less in many tech-driven fields.

To stay relevant, individuals must continuously update their knowledge base. This doesn’t always mean going back to school. Online platforms like Coursera, edX, and LinkedIn Learning offer flexible, up-to-date courses in data science, digital marketing, cybersecurity, and AI fundamentals. Microlearning, bootcamps, and professional certifications can also offer rapid upskilling in key areas.

Staying relevant in the AI age means evolving as fast as the technology itself.

2. Cultivate Uniquely Human Skills

AI excels at tasks that are repetitive, data-driven, or logic-based. However, there are limits to what AI can replicate—especially when it comes to human empathy, ethics, creativity, and emotional intelligence.

Skills such as:

Critical thinking – evaluating information, making sound decisions, and solving novel problems.

Communication – articulating complex ideas clearly, listening actively, and collaborating across diverse teams.

Creativity – thinking divergently, innovating, and imagining new possibilities.

Empathy and leadership – understanding human emotions and guiding people effectively.

These are competencies that remain difficult for AI to emulate and therefore represent a core area where humans hold a lasting advantage.

Workers who can integrate both technical and soft skills—what some call “T-shaped professionals”—are particularly valuable. They have deep knowledge in one area (like AI programming or design thinking) and broad capabilities across disciplines, making them adaptable and cross-functional.

3. Learn to Collaborate With AI

Rather than fearing that AI will take jobs, the more productive outlook is to ask, “How can I use AI to enhance my work?”

Consider AI not as a rival, but as a tool for augmentation. For example:

A content creator can use AI to generate initial drafts or brainstorm headlines faster.

A data analyst can leverage machine learning models to uncover patterns that would take days to detect manually.

A marketer can personalize customer interactions using AI-powered recommendation engines.

Professionals who understand how to work with AI systems—inputting the right data, interpreting AI outputs, and making informed decisions—will become indispensable. This is particularly true in fields like healthcare, finance, law, and engineering, where AI can offer insights, but human oversight remains critical.

4. Stay Curious and Adaptable

In the age of AI, agility is the new security. Industries will change. Job descriptions will evolve. Roles will emerge that don’t even exist today. The ability to remain open, curious, and agile is far more valuable than expertise in a single tool or platform.

Cultivating a “growth mindset”—a belief that abilities and intelligence can be developed through effort and persistence—is crucial. People with growth mindsets are more likely to embrace change, learn from failures, and reinvent themselves in response to new challenges.

Being adaptable also means paying attention to trends and shifts in your industry. Subscribing to tech newsletters, attending webinars, joining professional communities, or simply staying informed can help you anticipate changes before they disrupt your work.

5. Ethical Awareness and Human-Centered Thinking

AI raises profound ethical questions—around bias, privacy, transparency, and accountability. As the technology becomes more powerful, ethical literacy becomes a vital skill. Understanding not just what AI can do, but what it should do, is critical.

Whether you’re a developer, policymaker, or user, approaching AI with a human-centered mindset—prioritizing fairness, inclusivity, and long-term impact—ensures that technological progress aligns with human values. Individuals who can bridge technical knowledge with ethical reasoning will play an essential role in shaping responsible AI systems.

Final Thoughts

Staying relevant in the age of AI is less about outpacing machines and more about deepening what makes us distinctively human. The future belongs to those who can learn continuously, think critically, act ethically, and collaborate seamlessly with intelligent systems.

Rather than fearing the rise of AI, we must see it as an opportunity—an invitation to reimagine how we work, learn, and contribute in a world where change is the only constant. As AI takes over more routine tasks, our job is to do what AI cannot: lead with heart, think with nuance, and innovate with purpose.

In the end, staying relevant is not about resisting the future—it’s about becoming ready for it.



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Could This Under-the-Radar Artificial Intelligence (AI) Defense Company Be the Next Palantir?

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Palantir has emerged as a disruptive force in the AI realm, ushering in a wave of enthusiastic investors to the defense tech space.

Palantir Technologies was the top-performing stock in the S&P 500 and Nasdaq-100 during the first half of 2025. With shares soaring by 80% through the first six months of the year — and by 427% over the last 12 months — Palantir has helped drive a lot of attention to the intersection of artificial intelligence (AI) and defense contracting.

Palantir is far from the only company seeking to disrupt defense tech. A little-known competitor to the company is BigBear.ai (BBAI -3.35%), whose shares are up by an impressive 357% over the last year.

Could BigBear.ai emerge as the next Palantir? Read on to find out.

BigBear.ai is an exciting company in the world of defense tech, but…

BigBear.ai’s share price volatility so far this year mimics the movements of a rollercoaster. Initially, shares rose considerably shortly following President Donald Trump’s inauguration and the subsequent announcement of Project Stargate — an infrastructure initiative that aims to invest $500 billion into AI projects through 2029.

BBAI data by YCharts

However, these early gains retreated following the Pentagon’s plans to reduce its budget by 8% annually.

While reduced spending from the Department of Defense (DOD) was initially seen as a major blow to contractors such as Palantir and BigBear.ai, the trends illustrated above suggest that shares rebounded sharply — implying that the sell-offs back in February may have been overblown. Why is that?

In my eyes, a major contributor to the recovery in defense stocks came after Defense Secretary Pete Hegseth announced his intentions to double down on a strategy dubbed the Software Acquisition Pathway (SWP).

In reality, the DOD’s budget cuts are focused on areas that are deemed non-essential or inefficient. For example, the Pentagon freed up billions in capital by reducing spend with consulting firms such as Booz Allen Hamilton, Accenture, and Deloitte. In addition, a contract revolving around an HR software system managed by Oracle was also cut.

Under the SWP, it appears that the DOD is actually looking to free up capital in order to double down on more tech-focused initiatives and identify vendors that can actually handle the Pentagon’s sophisticated workflows.

With so much opportunity up for grabs, it’s likely that optimistic investors saw this as a tailwind for BigBear.ai. This logic isn’t too far off base, either.

BigBear.ai’s CEO is Kevin McAleenan, a former government official with close ties to the Trump administration. McAleenan’s strategic relationships within the government combined with the DOD’s focus on working with leading software services providers likely has some investors buying into the idea that BigBear.ai won’t be flying under the radar much longer.

Military service members working in an office.

Image source: Getty Images.

…how does the company really stack up beside Palantir?

The graph below breaks down revenue, gross margin, and net income for BigBear.ai over the last year. With just $160 million in sales, the company tends to generate inconsistent gross margins — which top out at less than 30%. Moreover, with a fairly small sales base and unimpressive margin profile, it’s not surprising to see BigBear.ai’s losses continue to mount.

BBAI Revenue (TTM) Chart

BBAI Revenue (TTM) data by YCharts

By comparison, Palantir generated $487 million in government revenue during the first quarter of 2025. In other words, Palantir’s government operation generates nearly triple the amount of revenue in a single quarter that BigBear.ai does in an entire year. On top of that, Palantir’s gross margins hover around 80%, while the company’s net income over the last 12 months was over $570 million.

Is BigBear.ai stock a buy right now?

Right now, BigBear.ai trades at a price-to-sales (P/S) ratio of around 11. While this may look “cheap” compared to Palantir’s P/S multiple of 120, there is a reason for the valuation disparity between the two AI defense contractors.

Palantir boasts large, fast-growing public and private sector businesses that command strong profit margins. By contrast, BigBear.ai is going to have a difficult time scaling so long as it keeps burning through heaps of cash.

Not only would I pass on BigBear.ai stock, but I also do not see the company becoming the next Palantir. Palantir is in a league of its own in the defense tech space, and I do not see BigBear.ai as a formidable challenger.

Adam Spatacco has positions in Palantir Technologies. The Motley Fool has positions in and recommends Abbott Laboratories, Accenture Plc, Oracle, and Palantir Technologies. The Motley Fool has a disclosure policy.



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Microsoft buys more than a billion dollars’ worth of excrement, including human poop, to clean up its AI mess — company will pump waste underground to offset AI carbon emissions

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Microsoft has just signed a deal with Vaulted Deep, paying it to remove 4.9 million metric tons of waste over 12 years sourced from manure, sewage, and agricultural byproducts for injection deep underground. According to Inc., the current cost of CO2 removal with the company is $350 per ton. If you multiply that by Microsoft’s contract, that makes it worth more than $1.7 billion. However, neither entity has disclosed the actual terms of the deal, and its CEO, Julia Reichelstein, says that the company expects its costs to drop over time, and that the mentioned price isn’t the actual sum that the tech giant paid.

This isn’t the first time Redmond has paid another company to help offset its greenhouse gas emissions; Microsoft signed a deal with AtmosClear in April of this year to sequester 6.75 million metric tons of carbon dioxide. However, Vaulted’s technique is unique — instead of extracting carbon dioxide from the air or electricity production, it collects organic waste. It combines it into a thick slurry, which is then injected about 5,000 feet underground. This prevents them from being dumped at a waste disposal site, where they would eventually decompose and release carbon dioxide into the atmosphere.



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After Plummeting Over $1 Trillion in Value, This Super Artificial Intelligence (AI) Stock Is Mounting a Major Comeback, With Analysts Predicting Gains of Up to 400%

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Earlier this year, Nvidia lost more than $1 trillion in market capitalization. Now, it’s the most valuable company in the world.

For a few years now, the artificial intelligence (AI) movement has largely hinged on the performance of a single company: Nvidia (NVDA -0.42%).

Sure, if Microsoft or Amazon posted strong results from their respective cloud computing platforms or if Tesla managed to hype investors up over the prospects of self-driving robotaxis or humanoid robots, the technology sector might see a fleeting upward movement. At the end of the day, however, the focus seemed to eventually return to Nvidia — with analysts obsessing over how demand for the company’s chips and data center services were trending.

During the first half of the year, Nvidia’s ship was caught in an epic storm. Investors started to question the company’s long-growth prospects — inspiring prolonged periods of panic-selling in the process. All told, Nvidia’s market cap dropped by more than $1 trillion.

But now, with a market value north of $4 trillion, Nvidia has reclaimed its position as the most valuable company on the planet. Even better? Some on Wall Street are calling for further gains of up to 400%.

Let’s explore the tailwinds supporting Nvidia’s long-term growth narrative and detail why Wall Street sees such massive upside for the king of the chip realm.

One Wall Street analyst is calling for a $10 trillion valuation for Nvidia

One of the most bullish Nvidia analysts on Wall Street is the I/O Fund’s Beth Kindig. Kindig suggested that Nvidia could reach a $10 trillion market cap by 2030 — implying 140% upside from current levels. Let’s explore the main catalysts supporting Kindig’s forecast.

According to management from Microsoft, Amazon, and Alphabet, roughly $260 billion will be spent in 2025 alone on AI infrastructure. On top of that, Meta Platforms is expected to spend roughly $70 billion on capital expenditures this year — nearly double what it spent in 2024. Lastly, Oracle is beginning to make significant headway in infrastructure services — allowing companies to rent Nvidia GPUs from their cloud-based data center platform. From a macro perspective, rising capex from the cloud hyperscalers bodes well for chip demand.

Kindig takes these secular tailwinds one step further, suggesting that competition from Intel and Advanced Micro Devices does not pose much of a threat to Nvidia’s dominance. While it’s hard to know how vendor preferences could change over the next several years, current industry research trends suggest that Kindig might be right — underscored by Nvidia’s rising market share in the AI accelerator industry.

The area of Kindig’s analysis that I think is currently overlooked the most revolves around Nvidia’s software architecture, called CUDA. Since CUDA is integrated tightly with Nvidia’s hardware, developers essentially become locked into the company’s ecosystem.

Not only does this lead to customer stickiness, but it opens the door for Nvidia to be at the forefront of more sophisticated, evolving AI applications in areas such as robotics and autonomous driving.

Image source: Getty Images.

What about $20 trillion?

Former management consulting executive Phil Panaro is even more bullish than Kindig. By 2030, Panaro thinks Nvidia’s share price could reach $800 — implying roughly a $20 trillion market cap.

Panaro cites opportunities across Web3 development and evolving use cases around how enterprises and governments leverage AI to generate more efficiency and cost savings as the main pillars supporting Nvidia’s upside.

While these trends could eventually drive significant demand for Nvidia’s data center services, tech adoption within the government tends to move slowly. Meanwhile, Web3 remains an emerging concept that could take far longer to mature than Panaro is assuming.

Is Nvidia stock a buy right now?

Nvidia stock has been mounting an epic comeback over the last couple of months. This valuation expansion can be easily seen through the dynamics of the company’s rising forward price-to-earnings (P/E) multiple. Nevertheless, Nvidia’s forward P/E of 40 is still well below levels seen earlier this year.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts

Trying to model Nvidia’s peak valuation is an exercise in false precision. The bigger takeaway is that analysts on Wall Street are not only calling for significant upside in the stock, but they have outlined the foundation for Nvidia’s long-term growth. The important theme here is that Nvidia has opportunities well beyond selling chips — many of which have yet to make meaningful contributions to the business.

I see Nvidia stock as a no-brainer. Investors with a long-run time horizon might consider scooping shares up at current prices and plan to hold on for years to come.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia, and Tesla. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Intel, Meta Platforms, Microsoft, Nvidia, Oracle, and Tesla. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft, short August 2025 $24 calls on Intel, and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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