Tesla CEO Elon Musk is accelerating efforts to expand the company’s robotaxi operations amid growing pressure from rivals like Google’s Waymo. Over the weekend, Musk revealed that Tesla is expanding its autonomous ride-hailing service in Austin, Texas, and awaiting regulatory clearance to begin operations in the San Francisco Bay Area “probably in a month or two.”

As part of the push, Musk confirmed that Grok—his AI chatbot developed under xAI—will be integrated into Tesla vehicles “next week at the latest.” The move is believed to be aimed at enhancing the intelligence and appeal of Tesla’s self-driving system, giving it a competitive edge in an increasingly crowded autonomous vehicle market.

Waymo, a subsidiary of Alphabet Inc., has steadily ramped up its robotaxi operations, particularly in California and Arizona. Unlike Tesla’s Full Self-Driving system, which still requires driver supervision, Waymo vehicles operate with no human behind the wheel in designated zones. Waymo’s safety record and regulatory backing have also given it an advantage in building public trust—something Musk is now clearly eager to reclaim.

Tesla’s Gamble on Grok AI

Tesla’s decision to pair its robotaxi service with Grok—a general-purpose chatbot designed to converse, assist, and learn from human interaction—is seen as an attempt to both enrich the in-car user experience and portray Tesla as the AI-first automaker. Internally, Grok could assist in navigation, entertainment, and personalized vehicle controls, potentially setting Tesla apart in a market where most competitors rely on more traditional UI systems.

But the timing has proven fraught. Grok recently came under intense criticism after it was found to have generated a series of antisemitic remarks and even statements appearing to praise Adolf Hitler. Although xAI has denied that the chatbot made those statements, claiming manipulation or errors in representation, the controversy has cast a long shadow over Grok’s integration into Tesla’s vehicles.

Musk’s ambitions for Grok have been far-reaching—from replacing Google Search for millions of users on X, to becoming the underlying voice and intelligence layer across his companies. But now, critics say the bot’s problematic behavior raises questions about safety, oversight, and the reliability of AI-driven decision-making inside vehicles.

A Distracted CEO

The expansion of Tesla’s robotaxi footprint is happening during a turbulent period for Musk. He recently resigned from the Trump administration’s Department of Government Efficiency (DOGE), only to announce plans to launch his own political party—the America Party—shortly afterward. His increasingly public feuds with President Donald Trump have rattled investors, especially following his criticism of Trump’s tax package, which Musk said could hurt innovation and damage U.S. competitiveness.

This political entanglement, combined with a slowdown in Tesla’s EV sales and rising competition from Chinese automakers, has led to sharp volatility in the company’s stock. Tesla shares plunged nearly 7% on Monday, erasing $68 billion in market value. Though they rebounded slightly after the Grok and robotaxi announcements, investor confidence remains shaky.

Tesla’s path to fully autonomous driving is still dotted with legal and regulatory obstacles. Waymo and Cruise have received permits to operate in several U.S. cities without drivers, while Tesla continues to rely on supervised Full Self-Driving trials. Musk has often framed Tesla’s software approach—relying purely on vision rather than LiDAR—as superior in the long run, but critics argue the lack of redundancy is a safety risk.

In this context, the rollout of Grok is seen as a double-edged sword. While its presence may give Tesla a futuristic sheen and attract tech-forward customers, the bot’s erratic behavior could also heighten scrutiny from regulators already skeptical about Musk’s promises of full autonomy.

With Tesla’s annual shareholder meeting scheduled for November 6, the stakes are growing. Investors are watching closely to see whether Musk can translate his AI experiments into real-world dominance.

This Tekedia Daily podcast by Ndubuisi Ekekwe, inspired by Nvidia’s recent market valuation milestone, provides a historical and contemporary analysis of “category king companies.” It argues that market dominance is not solely a function of technological innovation but also, crucially, of effective business models.

The discussion begins by tracing the evolution of market leadership through different eras. US Steel, in the early 20th century, exemplified a category king driven by its mastery of steel technology, which was fundamental to industrial expansion. Following this, IBM emerged as a dominant force in the mid-20th century, propelled by its pioneering work in mainframe computing and other catalytic technologies that automated and transformed American industries.

However, the narrative shifts with General Electric (GE) in the late 20th century. GE’s success, particularly under Jack Welch, was attributed less to groundbreaking technological inventions and more to its revolutionary management systems and business models that enabled the efficient operation of a vast, diversified conglomerate, delivering exceptional shareholder value.

The presentation then brings the discussion to the present, highlighting Apple, Microsoft, and particularly Nvidia, as current category kings. Nvidia’s ascendancy is linked to its provision of foundational hardware and infrastructure for artificial intelligence, underscoring the continued importance of technological leadership.

A central theme is the symbiotic relationship between technology and business models. The speaker uses Tesla as a prime example of a company whose innovative pricing mechanism—incorporating continuous subscriptions beyond the initial car purchase—demonstrates how a unique business model can unlock and capture significant value. Similarly, Microsoft’s success is tied to its ability to establish a model for monetizing software.

To provide a localized perspective, the presentation examines market evolutions in Nigeria. The banking sector in the 1990s saw “new generation banks” become category kings by using technology to create networked branches, allowing customers unprecedented flexibility. This was followed by the rise of telecommunications companies (Telcos) like MTN and Glo, which initially offered voice telephony and later mobile internet, transforming mobile devices into internet nodes. Currently, Nigeria is in the “application utility age,” where new companies are emerging by building services atop mobile internet, proving that category kings can arise even in local markets.

The concluding remarks emphasize the challenges of predicting future market leaders in this “new era.” It reiterates the critical insight that while technology is vital, it alone is insufficient for sustained category dominance. The failures of some highly anticipated technologies (like metaverse and NFTs) to fully establish “category king” status highlight the necessity of a robust business model. Ultimately, the presentation asserts that understanding and developing the right business model alongside technological innovation is paramount for any company aspiring to achieve and maintain market leadership.

Download the podcast summary here.

Watch the podcast at Blucera.com.

How To Listen to Tekedia Daily

At Blucera, home of Blucera WinGPT (AI personal educator and coach), eVault Legal Custodial services (store vital personal, family and business documents securely), business tools to grow enterprises, and global archives of Tekedia courses and libraries, Ndubuisi Ekekwe podcasts every week day. Some Tekedia Institute programs offer bonus access to Tekedia Daily or one can register at Blucera for the podcast.

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President Donald Trump’s expanding tariff campaign may backfire on American families, with new research by Yale University’s Budget Lab warning that the newly imposed and proposed duties could saddle U.S. households with up to $2,400 in additional costs in 2025 alone.

The analysis, released Wednesday, paints a stark picture of the cumulative effects of Trump’s trade policies—suggesting they could trigger a significant inflation spike, slower economic growth, job losses, and tighter consumer margins.

If all announced tariffs remain in place, the U.S. would face an 18% effective tariff rate—the highest seen in nearly a century, dating back to the protectionist Smoot-Hawley Act of 1930.

Tariffs Surge, Prices Follow

The study factors in new tariffs on a wide swath of imports, including Trump’s planned 50% duty on copper—a vital component for construction, electronics, vehicles, and national defense—as well as sweeping new rates targeting Brazil, Japan, South Korea, and potentially the pharmaceutical sector.

Already, copper prices surged 10%, reaching a historic high just hours after Trump confirmed the move. Analysts say this increase signals broader inflationary risks across industries dependent on copper.

“If this is the case, American businesses will pay a lot more than 10% extra to buy copper, raising prices for all products that use copper,” said Peter Schiff, Chief Economist at Euro Pacific Asset Management.

Schiff, a long-time critic of protectionist trade measures, warned the tariffs would ignite a consumer cost crisis.

“As I warned, Trump just imposed an additional 25% tariffs on imports from South Korea and Japan… Consumers need to brace for much higher prices and get used to higher interest rates.”

What Will Get More Expensive?

According to Yale’s model, clothing, shoes, electronics, metals, leather goods, and cars will bear the brunt. In the short term, clothing prices are expected to rise 37%, shoes by 39%, and electrical equipment by 26%. Long term, prices may stabilize—but not before settling 18% higher on average.

Even everyday essentials like coffee, fruits, vegetables, and orange juice—especially those imported from Brazil—are projected to become more expensive. Groceries may see more moderate increases, but they still compound the cost-of-living burden for low-income households.

GDP Loss, Jobs at Risk

The tariff blow won’t just be at the checkout counter. Yale projects a 0.7% drop in U.S. GDP in 2025 and a 0.4% increase in the unemployment rate, as businesses cut jobs or delay hiring to manage rising costs. The damage could be more permanent too: with tariffs in place long term, GDP would remain 0.4% smaller every year, amounting to an annual loss of $110 billion.

Sectors like construction, agriculture, retail, and auto manufacturing are expected to be disproportionately affected. Yale researchers did note a possible 2% increase in U.S. manufacturing, but they cautioned that this boost comes at the cost of broader economic stability.

Massive Revenue or Massive Burden?

On paper, Trump’s trade strategy could generate $2.6 trillion in revenue between 2026 and 2035, with $2.2 trillion in net gains after accounting for losses. That projection is what the Trump administration points to in defending the tariffs as a vital revenue source and a measure to “level the playing field.”

However, economists warn this windfall is heavily regressive, coming at the expense of consumers and small businesses. Most of the revenue would be collected through higher prices on imports—paid indirectly by the public—not foreign exporters.

Businesses Brace for the Blow

A KPMG survey of 300 U.S. business executives found that 83% expect to raise prices in the next six months, and more than half say tariffs have already started to squeeze their profit margins.

“The full impact on consumers is likely still to come,” said Brian Higgins, Advisory Partner at KPMG US. “Many companies are holding off price increases until August 1.”

Despite the sweeping impact, the full extent of Trump’s tariff program remains uncertain. The president has frequently shifted positions on trade policy, earning the nickname “TACO Trump”—‘Trump Always Chickens Out’—due to delays and reversals.

After global markets plunged earlier this year following the announcement of Trump’s “Liberation Day” tariffs, the White House paused implementation for 90 days. That pause expires August 1, and most of the tariffs are now slated to kick in immediately thereafter. While some countries—like China, Vietnam, and the U.K.—have reached partial agreements, Trump continues to send letters to foreign governments saying rates could still change depending on the “relationship with your Country.”

Notably, Yale’s $2,400 cost estimate does not account for potential Federal Reserve responses, such as interest rate adjustments, that could further impact household budgets. Should inflation accelerate, the Fed could be forced to hike rates again—raising borrowing costs and mortgage payments for millions.

While the Trump administration insists the tariffs are strategic and patriotic, the mounting data tells a more sobering story.

This month, Perplexity AI launched Comet, its AI-powered web browser that intends to challenge Google Chrome’s 68% market share. Also, this month, rumours emerged that Apple is buying the company.

No doubt, Perplexity will shape AI’s future, but how? 

In this article, I will explore why joining Apple is Perplexity’s best shot at shaping AI’s future, and why Apple needs to make this deal happen. 

Apple’s AI Crisis: Perception, Product, Strategy

Already, Apple faces a trifecta of challenges that make Perplexity an irresistible target. 

First, there’s a perception problem. Microsoft’s integration of OpenAI’s tech has added over $1 trillion to its market cap since 2023, recasting it as an AI leader. Apple, despite its $3.5 trillion valuation, is seen as lagging, with WWDC 2025 offering iterative updates but no game-changing AI breakthrough. Investors are restless, questioning if Apple’s innovation engine has stalled.

Second, there’s a product problem. Siri, once a pioneer, now falters against ChatGPT, Google’s Gemini, and Perplexity’s conversational AI. A 2024 user survey found 62% of iPhone owners rarely use Siri for complex tasks, citing its inability to handle nuanced queries like summarizing documents or planning trips. This gap risks making Apple’s hardware feel outdated.

Finally, a strategic problem: Apple’s privacy-first, on-device AI approach limits its access to the vast datasets fueling competitors’ cloud-based models. Perplexity, with its sophisticated AI trained on public web data, offers a shortcut to world-class AI expertise without compromising Apple’s privacy ethos, as its models can be adapted for on-device processing.

Perplexity’s Edge: Redefining the User Experience

Perplexity’s strength lies in its user experience, not just its tech. Unlike Google search, Perplexity delivers synthesized, cited answers, prioritizing clarity. Its newly launched browser, Comet takes this further, transforming browsing into an AI-driven experience. TechCrunch called Comet “a glimpse into a post-Chrome world,” positioning it against rivals like Arc, which blends browsing and productivity, and Anthropic’s Claude, which powers conversational AI. 

The Synthesis: What an Apple-Perplexity Future Looks Like

If a deal were to happen, how would Apple use its new prize? 

Based on Apple’s history with acquisitions like Beats Audio (which retained its brand) and Dark Sky (which was fully absorbed), two paths emerge.

Scenario A.

In this version, Perplexity’s technology is used to supercharge Siri and Apple Search behind the scenes. The Perplexity brand is sunsetted, and its team is integrated into Apple’s existing AI/ML divisions. This is the safe, incremental play—a much-needed upgrade to existing services, but one that falls short of a true paradigm shift.

Scenario B.

This is the move that could redefine the next decade. Instead of just a better Siri, Perplexity becomes a native OS-layer, creating a true “answer-first” operating system. The grid of apps becomes secondary to a conversational interface that can understand complex requests—planning trips, summarizing meetings, drafting emails—by synthesizing information from the web, your apps, and your data. 

I hope Tim Cook and Perplexity CEO Aravind Srinivas make this deal to happen. Fingers crossed.