How Covid Fueled Trump's Tariffs Plan

Even before the unprecedented supply chain disruptions caused by the pandemic, the United States was grappling with growing uncertainty surrounding the supply of semiconductor chips and other critical tech manufacturing components. These issues had significant negative consequences for numerous sectors of the American economy, particularly the automotive industry. By 2018, increasing dependence on foreign chip manufacturers had already raised concerns about potential supply chain vulnerabilities. 

COVID-19 and Global Shortage:

The COVID-19 pandemic exacerbated these concerns. Demand for semiconductors surged for various consumer electronics and industrial applications, while production faced bottlenecks due to factory shutdowns and logistical challenges. In a culmination of negative variables, the chip shortage grew, showing American manufactures that changes needed to be implemented to maintain a readily available supply of not just semiconductors, but raw materials and other components needed to maintain our economy and ecosystems. As COVID gripped the world shutdowns placed a stranglehold on sourcing almost all goods. Raw materials shortages continued to intensify due to capacity restraints, unpredictability of the COVID-19 pandemic, and the unforeseen events that struck chipmakers globally. 

Impact on Automotive:

Despite the grip that COVID held over the nation The automotive industry saw a rather unexperienced surge in demand as purchasing behavior shifted as consumers avoided public transportation due to the pandemic and developed an increased desire for new vehicles. With that increased demand came increased supply challenges and the on-going global chip shortage carried a severe impact on the automotive industry. Many car manufacturers had to reduce production, delay model launches, and even shut down assembly lines due to the inability to secure sufficient chip supplies. 

2018 US–China Trade War Escalates:

Starting in 2018, the US–China trade war began to unfolded in five phases which were carried out through 2021. The first wave of tariffs that directly impacted chipmaking hit Chinese imports in 2018. It targeted raw materials for chips, such as silicon and reactor tubes and holders designed for semiconductor wafer production. In August 2019, the trade war escalated as Beijing announced it would apply $75 billion in tariffs on US goods. The last phase of US tariffs in September 2019 targeted $120 billion worth of Chinese goods. In 2019, the US and China made an agreement that included structural reforms and changes to China’s economic and trade regime. The hope was that when this agreement later went into effect, it would reduce the back-and-forth tariff increases on imports.

These agreements didn't hold and and tension between the US and China further escalated which resulted in wafer supply hoarding when the US later blacklisted China’s biggest chipmaker, SMIC, in 2020. With many vital parts of the supply chain impacted, US industries reliant on semiconductors feared that restrictions on Chinese imports would lead China to create their own semiconductor ecosystem.

America's Answer to Chinese Chip Manufacturing Dominance:

International governments have also joined the push to increase chip capacity. In July 2022, the United States Senate and House of Representatives passed the CHIPS Act, which includes about $52 billion in government subsidies for research and production of semiconductors in the U.S. The bill also provides chip plants with tax credits worth about $24 billion, with the goal of spurring U.S. chip manufacturing to alleviate some of the supply chain issues hampering the country's automotive and consumer electronics industries, among others.

In 2024, then President Joe Biden, looked to "Protect American Workers and Businesses from China’s Unfair Trade Practices" by increasing tariffs on more than $18 billion of imports from China.  At that time President Biden stated, "American workers and businesses can outcompete anyone—as long as they have fair competition. But for too long, China’s government has used unfair, non-market practices." In 2025 President Trump reiterated those concerns and moved to protect our nations workers, national and economic security by impose a 10% tariff on all countries. 

Looking to further shrink the gaps between US and Chinese semiconductor manufacturing President Trump announced even more significant tariffs against China and electronics manufactured there. The president believes that tariffs are necessary to ensure fair trade, protect American workers, and reduce the trade deficit that he believes has undermined critical supply chains; and rendered our defense-industrial base dependent on foreign adversaries.

US Manufactures Respond With $4 Trillion In Promised  Investments:

While many have raised questions and concerns over the costs associated with a trade-war and the overall impact and potential negatives associated with a raising costs of  materials. US based semiconductor and electronics manufactures have responded by promising investments into infrastructure and programs that will help boost domestic production and manufacturing.  Apple, has announced its largest-ever spend commitment, with plans to spend and invest more than $500 billion in the U.S. over the next four years. 

TSMC is expanding its manufacturing presence in the United States, with a major focus on a large facility in Phoenix, Arizona. The company plans to invest $165 billion in total, including an additional $100 billion, to build multiple fabs, including the first which began production in late 2024. This expansion aims to strengthen the U.S. semiconductor ecosystem and reduce reliance on foreign chip production. 

It is not just tech companies that are responding to the call to repatriate manufacturing. Pharmaceutical companies have as well. Novartis has committed $23 billion to US manufacturing, while Johnson & Johnson and Eli Lilly have announced combined investments of nearly $85 billion in manufacturing and R&D over the next four years

Clearly trade and the trade imbalance was on the mind of President Trump before the interruption of his presidency. It was a concern that was by and large shared by both parties as seen by President Biden's actions. The use of tariffs has positives and negatives both ways we look at it, and while an all out trade war isn't particularly ideal. It certainly seem to be needed. If these companies and promises play out as planned. The US might be on track to see a manufacturing boom like it hasn't seen since WWII!

The IT Skills Glitch: Level Up or Lag Behind

You've probably noticed it. That frantic search for tech talent – the data scientists, the AI whisperers, the cloud gurus, the cyber defenders. It feels like finding a needle in a haystack, right? The IT skills shortage isn't just a buzzword; it's a real headache impacting projects, innovation, and bottom lines. Around 70% of companies are feeling this pinch.

But while we often point fingers at hyper-speed tech evolution (looking at you, AI!) and education systems struggling to keep pace, there's another crucial piece of the puzzle flying under the radar: Where did all the Gen X tech workers go?

Decoding the Glitch: More Than Just New Tech

Sure, the tech landscape is morphing faster than ever. AI is rewriting job descriptions, cloud platforms are constantly evolving, and cybersecurity threats demand ever-sharper skills. Keeping up requires relentless learning, and yeah, sometimes formal training lags behind what the industry needs right now.

But add this to the mix: a significant number of experienced Generation X professionals (those born roughly between 1965 and 1980) seem to be quietly exiting the tech workforce. Why?

• The Burnout Factor: Years in high-pressure roles, coupled with the 'great resignation' ripples and the constant demand to do more with less, are taking a toll. Burnout is real – reports show around 65% of employees still feel it – and experienced pros might decide enough is enough.
• Career Plateaus & Upskilling Gaps: Maybe the upskilling opportunities aren't aligning with their career stage, or they feel overlooked for new, exciting projects in favour of younger hires. If growth stagnates, experienced talent looks elsewhere, sometimes outside tech altogether.
• Seeking Different Priorities: After decades in the industry, some Gen Xers might be looking for better work-life balance, passion projects, early retirement, or roles with less relentless pressure.
• The Experience Drain: When these seasoned pros walk out the door, they take decades of invaluable experience, problem-solving intuition, and often mentorship potential with them. This isn't just a skills gap; it's an experience gap.

Help Wanted: Today's Tech Wishlist (and Yesterday's Know-How)

The demand is fierce for skills in:

• AI & Machine Learning: From prompt engineering to algorithm training.
• Data Science & Analytics: Making sense of the data deluge.
• Cloud Computing: Expertise across AWS, Azure, GCP, etc.
• Cybersecurity: Protecting against ever-evolving threats.
• Software Development: Building and maintaining the digital world.

And let's not forget crucial soft skills: problem-solving, adaptability, critical thinking, communication. Ironically, many departing Gen Xers possess deep foundational knowledge and critical thinking skills that are the bedrock for mastering these newer specializations.

When Talent Tanks: The Ripple Effect

The impact of this combined tech evolution and experience drain is clear:

• Stalled Projects & Innovation: Teams lack the bandwidth or expertise.
• Increased Costs: Hiring is expensive (replacing someone can cost 50-200% of their salary!), and reliance on contractors mounts.
• Team Strain & Burnout: Remaining employees pick up the slack, leading to more stress and potential turnover.
• Loss of Mentorship: Junior team members miss out on learning from seasoned veterans.

Fixing the Glitch: It's Time to Adapt

So, how do we tackle this multi-faceted skills glitch? It requires a mix of strategies:

1. Embrace Continuous Learning (Seriously): Companies must invest heavily in upskilling and reskilling their entire workforce. With estimates suggesting 40% of workers will need reskilling due to AI alone in the next few years, this isn't optional. Provide accessible training, workshops, and career paths.
2. Value Experience & Combat Ageism: Don't let seasoned Gen X talent feel overlooked. Offer them meaningful projects, leadership opportunities, and targeted upskilling that respects their existing knowledge base. Ensure hiring and promotion practices are age-inclusive.
3. Rethink Flexibility & Retention: Can roles be adapted for better work-life balance? Are benefits competitive? Sometimes retaining experienced talent means adjusting the environment to meet their changing needs.
4. Smarter Recruitment: Use better tools (even AI!) to find talent, partner with educational institutions to shape relevant curricula, and broaden the net to diverse talent pools, including those looking to re-enter the workforce.
5. Knowledge Transfer: If experienced workers are planning to leave or retire, implement robust knowledge transfer and mentorship programs before they walk out the door.

Level Up or Lag Behind?

The IT skills shortage is complex, fueled by rapid technological shifts and significant demographic changes, including the departure of experienced Gen Xers. Ignoring either part of the equation won't solve it. For companies, it's about investing in their people – all of them. For individuals (Gen X included!), it's about embracing lifelong learning. The future of tech depends on bridging this gap, valuing experience, and ensuring everyone has the opportunity to level up.

Will AI Be The Death of Tech Innovation?

As a Gen X'er I got to experience the heart of the tech evolution. One thing I was being one of the biggest drivers in innovation was the curiosity we collectively had to understand how things worked, how we could make them better, or how me could make them our own. We didn't settle for white box PCs, we didn't settle for the every day version of Windows or settle for mediocre Apps. Not matter what it was we were always tinkering with settings, making changes to styles, or ripping things apart and upgrading them. 

With today's modern user friendly, or dumbed down, technology that "just works" I often wonder how or where new innovation will come from. That curiosity and drive to explore or tweak things seems to have faded away. In cases like operating system such as Windows 11 and macOS (even iOS) the drive to make them as user friendly as possible also meant hiding or restricting easy access to many settings and tweaks most of us geeks loved to tinker with. That lack of control has seemingly meant many of the younger generation have given in to the dumbed down user experience and don't bother learning the things we took for granted.

AI Takes The User Out of The Experience

With AI infiltrating almost every aspect of our lives. It feels like we are taking the user out of the equation. We are taking the fundamentals of our tech experience for granted and unlearning many of the things we once had to do on our own. We are essentially trading ease of use over practical and applicable knowledge. So with that I now ask myself is are we killing off the curiosity and drive that once pushed newer generations to create truly innovative products? 

AI is on the cusp of taking over the day to day activities and instead of learning how it works, why or how it accomplishes the things it does, we have generations just willing to accept that it is "just working" or that it did what they wanted well enough that they don't need to learn how to get more out of! So again instead of the user interacting and building their own better experience or being curious to see if they can find a better way. We see them being complacent and settling for what they have. So what does that mean for the future of tech innovation if we are willing to simply settle? 

Tech Innovation Has Become Stagnant and Stale

If we look at a few markets collectively - TVs, Cell Phones, PCs - where we once made fairly big leaps we are now stagnant in any actual innovation. TVs have certainly gotten bigger and the quality of their image or resolution has grown. We've certainly seen a transformation in how we use our TVs, but is there really an innovation there? You are now basically using them as a replacement for a PC. Cell Phones again, we are almost 20yrs into the smartphone market and short of foldable displays (tech specs and those details aside) what real innovation have we seen? 

The iPhone or Samsung Galaxy phones today truthfully don't do much more than the original devices released all those years ago. They have of course increased in size and increased in capability, maybe added a few more sensors, but that is about it. PCs have shared a similar trajectory. We were supposed to see great innovation in lower heat/power consumption, better overall performance and at lower costs. We've of course seen some major leaps in raw power (with massive increases in power consumption) but when compared to the 20yrs before we haven't seen anything earth shattering.

The question begs to be asked. Where will tech head from here and who will be the driving force to move it forward? If users are becoming complacent and not demanding true innovation and just accepting the minor upgrades we see now. The what inceptives do tech companies like Apple, Google and Samsung have to push out their truly mind blowing tech?  

Workers Clearly Hate RTO Mandates

It should come as no surprise that today's workforce dislikes having a boss or manager constantly looking over their shoulder or micromanaging their day-to-day activities. Combined with work-life balance concerns, the desire for a quieter and less stressful environment, and cost savings on commuting and childcare, many employees are resisting the return-to-office (RTO) demands of their companies. In fact, a survey of 1,000 U.S. workers revealed that one in six employees (16%) would quit if forced back to the office, while 40% believe returning would reduce their job satisfaction.

The pushback against RTO policies has taken various forms. Some workers are outright quitting, others are "quiet quitting," and still others are "coffee badging," a practice where employees make it appear as though they’ve met their in-office requirements.

According to the survey, a large portion of the younger generation would either ignore RTO requests entirely or leave their jobs rather than return to the office. Two in five employees feel that a return to the office would decrease their job satisfaction. Of those willing to return, 96% have stated they would seek carefully selected incentives to make the transition worthwhile.

The debate between remote workers and management teams has been ongoing for some time. Remote workers argue that they are just as productive and capable of completing their tasks efficiently. In contrast, management teams claim that distractions at home negatively impact the quality of work, as well as the availability and focus of remote workers. At least one recent study seems to support management's concerns.

Fortune Magazine recently reported that nearly half of Gen Z workers oppose returning to the office because it would prevent them from binge-watching their favorite TV shows during work hours. According to the article, 84% of Gen Z workers admitted to streaming shows and movies while working from home, and 53% confessed to delaying work to finish a show they were binge-watching. These findings are based on a survey of 2,502 adults who stream videos at least one hour per week.

Concerns about productivity hold some merit. Additional studies indicate that millennials and Gen Z workers are the most likely generations to engage in “fauxductivity”—a term describing fake activity to appear busy. Over 30% of respondents from these generations admitted to faking productivity, according to a 2024 survey of 3,000 full-time employees in the U.S., U.K., and Ireland.

Does this justify the distrust employers feel when they can’t closely monitor workers outside the office? Perhaps not. Many believe these trends stem from deeper workplace issues, such as professional and personal stressors, burnout, overwork, and disengagement.

What Is Amazon's All New AI Powered Alexa+ and Who Can Use It?

You may have heard that Amazon just unveiled Alexa+. The company's much anticipated next-generation digital assistant completely rebuilt with generative AI technology. What does that mean you may ask, and what does it mean for current Amazon Alexa device owners? We'll try to break that down for you below!

The basic details:

• Alexa+ can connect and leverage multiple LLMs, including Amazon's Nova and Anthropic's Claude, choosing the best model for each task at hand.
• The revamped assistant can perform complex agentic tasks like booking reservations, ordering groceries, purchasing concert tickets, and more.
• Other features include document analysis, remembering user preferences, maintaining conversation context, and integration with hundreds of services.
• It will cost $19.99 monthly but comes free with Amazon Prime membership, with early access rolling out in the U.S. next month.

Amazon is rethinking the way Alexa works with what they are calling “experts”—groups of systems, capabilities, APIs, and instructions that accomplish specific types of tasks for customers along several different connected devices. For instance, Alexa+ expands on the way you can control your smart home with products from Philips Hue, Roborock, and more. Voice controls for things like smart lighting, thermostats and other devices are said to be more natural. So, if you’re speaking in half-formed thoughts, using colloquial expressions, or exploring complex ideas, Alexa+ will reportedly understand what you mean, and respond with a natural vibe and feeling sort of like you are interacting with a person rather than Alexa's computerized response system.

Amazon said Alexa+ is designed to take action and is able to orchestrate across tens of thousands of services and devices. You'll be able to use your favorite apps to do things more directly like make reservations or appointments with OpenTable and Vagaro; explore discographies and play music from providers including Amazon Music, Spotify, Apple Music, and iHeartRadio; order groceries from Amazon Fresh and Whole Foods Market, or delivery from Grubhub and Uber Eats. You'll even get reminders for things like tickets going on sale on Ticketmaster; or alerts from Ring and other security devices if someone is approaching your house.

The new Alexa+ is designed to be highly personalized and adaptable to your life. Alexa learns from your shopping, listening, and viewing habits, as well as your shipping and payment information. But Alexa's capabilities extend beyond this: you can enhance her usefulness by providing personal details. Teach her family recipes, important dates, facts, and dietary preferences, and she can apply that information to better assist you. Imagine planning a family meal; Alexa can remember that you love pizza, your daughter is vegetarian, and your partner requires gluten-free food, and use that knowledge to recommend appropriate recipes or dining options.

What devices can customers use Alexa+ on and when can we get it?

According to their release statement Amazon has said Alexa+ will start rolling out in the U.S. in the next few weeks during an early access period, and subsequently in waves over the coming months. Priority will be given to Echo Show 8, 10, 15, and 21 device owners in the early access period. Unfortunately for those of us with older generation Echo devices like Echo Dot 1st Gen, Echo 1st Gen, Echo Plus 1st Gen, Amazon Tap, Echo Show 1st Gen, Echo Show 2nd Gen, and Echo Spot 1st Gen, we won't be seeing the upgrade at this time and will be limited to the original Alexa. You'll also be able to try Alexa+ on your web browser, the Alexa app, compatible Fire TVs, and Fire tablets. You can check-out the new Alexa+ page for more details and to sign-up to be notified when Alexa+ is available for you.

CES 2025 Is Here With AI In Everything!

 CES 2025 has officially kicked off this week with all the biggest names in tech showcasing their newest tech offerings. As expected AI is at the forefront of just about every single major announcement. With NVIDIA, Intel, AMD and Qualcomm all showcasing the latest in AI centric chips. While others such as LG Google, Hisense and TCL show off some of the newest in AI powered TVs and home theater gizmos. Not to take a back seat major auto manufactures have showed in force this year with Toyota, Volvo, BMW and others highlighting new AI integration and manufacturing advancements.  

As many expected AI has found its way into almost every device from the outrageous new personal robots. To the most mundane of children's toys. Just about everywhere you look someone is introducing a new AI powered gadget or gizmo of some sort!

Among the major announcements made was NVIDIA's CES keynote highlighting their newest RTX 50 series flagship GPUs as well as a very interesting new addition dubbed Project Digits. NVIDIA Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform. With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure.

As previously mentioned TV and display manufactures are looking to put AI to use in more ways than one. Google has announced they adding a slew of Gemini features to Google TV. With Gemini Google promises your interaction with your Google TV powered devices will be more natural and intuitive.  Offering things like summarized results, better search, and more total control over your connected devices. Google plans to release these new Gemini capabilities for new and existing Google TV devices toward the end of 2025.

In the auto arena Toyota took the wraps of some very ambitious projects including a move into space travel, autonomous vehicles and a very intriguing idea dubbed Toyota Woven City. This new 'Smart City" project is promised to be a hub for innovation, blending autonomous vehicles, AI and robotics

The concept of Toyota’s radical Woven City – which the Japanese automaker describes as a “test course for mobility” – was initially revealed in 2020. Now, five years later, the company says the first phase of construction is complete and ready for launch later this year.

It wouldn't be CES of course without the addition of tons of other gadgets. And it looks like there are plenty of those to choose from. The folks at ZDNET found everything from smart rings, to door locks. And did we mention the robots? It seems as though there is a robot for just about everything these days!

AI Use Increases in Healthcare

 

AI: The Doctor Will See You Now (Virtually)

The Rise of Artificial Intelligence in Healthcare

We're living in an age where technology is rapidly changing every aspect of our lives, and healthcare is no exception. Artificial intelligence (AI) is no longer a futuristic fantasy; it's actively reshaping the medical landscape, offering innovative solutions to age-old challenges. From diagnosing diseases to developing new drugs, AI is proving to be a powerful tool in the hands of healthcare professionals.

How is AI Transforming Healthcare?

• Early and Accurate Diagnosis: AI algorithms can analyze medical images (like X-rays and MRIs) with incredible accuracy, often detecting subtle anomalies that might be missed by the human eye. This leads to earlier diagnoses, faster treatment, and improved patient outcomes.

• Personalized Treatment Plans: AI can sift through vast amounts of patient data, including medical history, genetic information, and lifestyle factors, to create tailored treatment plans. This personalized approach ensures that patients receive the most effective care possible.

• Drug Discovery and Development: AI is accelerating the process of drug discovery by analyzing complex biological data and identifying potential drug candidates. This not only speeds up the development of new medications but also reduces the costs associated with research.

• Robotic Surgery: AI-powered robots are assisting surgeons in performing complex procedures with greater precision and minimally invasive techniques. This leads to faster recovery times, reduced complications, and improved patient satisfaction.

• Virtual Assistants and Chatbots: AI-powered virtual assistants and chatbots are being used to provide patients with 24/7 access to medical information, schedule appointments, and even offer basic medical advice. This improves patient engagement and reduces the burden on healthcare providers.

The Future of AI in Healthcare

The potential of AI in healthcare is truly vast. As technology continues to evolve, we can expect to see even more innovative applications emerge. AI could play a crucial role in:

• Predictive Healthcare: AI algorithms could analyze patient data to predict future health risks, allowing for proactive interventions and preventive care.

• Remote Patient Monitoring: AI-powered devices could monitor patients' vital signs and health conditions remotely, providing real-time data to healthcare providers and enabling early detection of potential problems.

• Mental Health Support: AI-powered chatbots and virtual therapists could provide mental health support and counseling to individuals who may not have access to traditional therapy.

Challenges and Ethical Considerations

While the benefits of AI in healthcare are undeniable, there are also challenges and ethical considerations that need to be addressed. These include:

• Data Privacy and Security: Ensuring the privacy and security of patient data is paramount. Robust security measures must be in place to protect sensitive information from unauthorized access.

• Bias and Fairness: AI algorithms are only as good as the data they are trained on. It's crucial to ensure that these algorithms are free from bias and that they provide fair and equitable healthcare to all patients.

• Job Displacement: The automation of certain tasks may lead to job displacement in the healthcare sector. It's important to address these concerns and ensure that healthcare professionals are adequately trained to work alongside AI systems.

Conclusion

AI is revolutionizing healthcare in ways we could only have imagined a few years ago. By embracing this technology responsibly and addressing the associated challenges, we can unlock its full potential to improve patient care, accelerate medical advancements, and create a healthier future for all.

FBI Issues New Warning Over Rise In AI Generated Scams

 The FBI Warns: AI is the New Weapon in a Scammer's Arsenal

We've all heard the warnings about online scams, but the game is changing. According to the newest warnings issued by the FBI criminals are now using cutting-edge generative AI to supercharge their efforts, making their schemes even more convincing and harder to spot.

The FBI has issued a public warning about this growing threat, highlighting how AI is being used to create incredibly realistic but completely fake content. Think:

• AI-Generated Text: Forget clunky emails full of typos. Scammers are using AI to write perfect messages, crafting believable stories for romance scams, investment fraud, and phishing attacks. They can even use AI to create fake social media profiles and websites that look totally legitimate.
• AI-Generated Images: Need a profile picture for that fake dating profile? No problem! AI can generate realistic images of people who don't even exist. It can also be used to create fake IDs and even manipulate images to use in sextortion schemes.
• AI-Generated Audio and Video: Imagine getting a call from a loved one in distress, begging for money. Except, it's not actually them. AI can clone voices and create realistic videos, making it incredibly difficult to tell what's real and what's not.

So, how can you protect yourself in this new era of AI-powered scams?

• Be extra vigilant: Don't trust anything at face value. Double-check everything, especially if it involves sending money or sharing personal information.
• Look for imperfections: AI-generated content can be incredibly realistic, but it's not perfect. Look for subtle clues like distorted features in images or unnatural pauses in audio.
• Establish a "secret word" with loved ones: This will help you verify their identity if they contact you in a crisis.
• Limit your online footprint: The less information you share online, the harder it is for scammers to use AI to create convincing fakes.
• If in doubt, verify: Hang up the phone and call back using a verified number. Don't click on links from unknown sources.

The bottom line is: stay informed, stay alert, and don't be afraid to question anything that seems suspicious. And if you do fall victim to a scam, report it to the FBI's Internet Crime Complaint Center (IC3) at www.ic3.gov.