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5 May 2026, 15:30
Japan hunts AI talent as adoption accelerates

A number of major US companies have announced job cuts in favor of AI investment. But in Japan, big corporations are on the hunt for skilled workers to accelerate AI adoption. In a recent survey of roughly 250 publicly listed Japanese companies, Azusa Audit Corporation found that 28% were expanding their AI-literate workforce to support automation. Despite its global reputation as a high tech powerhouse, AI adoption across the economy remains low. Japan is still laying the groundwork for a competitive AI ecosystem. It’s a phase where AI is seen as ‘labor complementary’ and designed to maintain operational efficiency amid a chronic labor shortage. The OECD reports that AI adoption in Japan in 2025 sits at 26.5% in finance and 14.5% in manufacturing. It’s drastically lower from the OECD’s seven-country average of 60.4% and 44.1%, respectively. Why is Japan hiring AI workers instead of cutting jobs? AI is behind the layoffs at Amazon, Microsoft, Meta, and Oracle. In the first quarter of 2026, 92,000 tech workers around the world lost their jobs, according to Layoffs.fyi . However, Japanese companies are largely resisting full AI-led restructuring. At the Japanese government’s AI Forum in April, Director of the AI Safety Institute, Akiko Murakami, pushed back against blind enthusiasm and blanket adoption. “It would be ideal if humans could review all payment related decisions,” she said. “The key is to streamline simpler operations as much as possible and prioritize human resources on more complex ones.” A lack of top-down direction Murakami argued that corporate strategy should drive AI adoption, rather than allowing the technology to dictate decisions. She warned that automated decision making in sectors like insurance could lead to potentially catastrophic financial losses. “If you’re going to use AI, it comes down to having a clear intent. Without a defined intent for how the company wants to operate the AI, if you just adopt technology for its own sake, it can lead to major failure.” Miku Hirano, CEO of AI consulting firm, Cinnamon AI, shared a similar view. She said the biggest obstacle among Japanese corporations is the absence of an AI strategy. Speaking at Sushi Tech 2026 in Tokyo, Hirano said AI adoption does not necessarily equate to automatic success. “Japanese businesses come to us thinking if we adopt AI, everything is going to be OK. But actually if you really want to make it a success, it’s not about the technology. You need to reorganize your entire operation, workflow and KPI.” Shortage of AI skilled workers Corporate spending on generative AI is set to surge. Japan’s AI market is slated to explode in market value from a current $20 billion to $538 billion by 2035, according to Japanese market research company, Report Ocean . As companies navigate AI workflows, there’s growing demand for AI consultants, data managers and governance specialists. In a January 2026 survey, Deloitte Tohmatsu Group found that roughly 50% of 1,000 Japanese executives asked candidates in job interviews about their hands-on AI experience. Japan’s AI drive is a labor intensive operation. Miku Hirano, CEO and Founder of AI consulting firm, Cinnamon AI, said AI applications are evolving at an unprecedented speed which requires constant updates to corporate strategy. “Previously, we updated our corporate AI strategy and plan every year, but now we review it every quarter.” While organizations can tailor AI systems to their own needs, the software and AI applications require ongoing maintenance, almost on a weekly basis. As a result, the Japanese government projects an estimated 3.4 million shortage of AI and robot-specializing workers by 2040. Does survival in the AI era depend on trust? In the era of automation, executives will be responsible for setting a company’s tolerance for AI risk and the speed and scale of AI adoption. As AI moves from experimental use to core business infrastructure, companies will need strong governance to be able to evaluate and verify AI decision making processes. The future of AI in Japan will not be determined by how capable the technology becomes but whether companies can make it trustworthy. Your bank is using your money. You’re getting the scraps. Watch our free video on becoming your own bank
5 May 2026, 14:02
Berkshire Cash Hits $397B: Greg Abel vs. S&P 500 Gains

Berkshire Hathaway has entered Greg Abel’s leadership era with a record cash position and a debate over returns. The company’s cash, cash equivalents, and short-term Treasury holdings reached $397 billion, according to market commentary tracking its latest quarterly balance sheet. The build-up comes as Berkshire sold a net $8.1 billion of stocks last quarter, marking its 14th straight quarter as a net seller. That stance places Abel’s early decisions against a rising S&P 500, where investors compare Berkshire’s cash pile with broader equity gains. Berkshire Record Cash Tests Strategy Berkshire’s cash balance has become one of the largest financial cushions in global markets. The company has long kept large reserves for insurance needs, acquisitions, and market stress, yet the latest level raises new questions after Warren Buffett stepped down. Berkshire’s cash balance | Source: X Market accounts noted that Berkshire held about $100 billion in cash in 2018, far below the current figure. Since then, the S&P 500 has delivered strong gains, while technology and artificial intelligence-linked shares have led much of the market’s advance. Buffett built Berkshire around disciplined buying, strong operating businesses, and limited pressure to chase high-priced assets. Abel now inherits that system while cash earns income through Treasury bills, yet equity benchmarks remain a key yardstick for shareholders. Greg Abel Faces S&P 500 Gauge Abel has worked inside Berkshire for 25 years and has been closely tied to the company’s energy and industrial operations. Analysts cited in recent market coverage expect him to keep attention on those areas as power demand rises with data centers and AI infrastructure. Berkshire’s structure gives Abel several options. He can pursue acquisitions, increase investment in existing subsidiaries, buy public equities, repurchase shares, or preserve liquidity. However, the company’s size means any new deal must be large enough to affect overall returns. That scale is central to the S&P 500 comparison. A small acquisition may strengthen one business, yet it may not shift Berkshire’s full earnings base. Meanwhile, index investors have benefited from concentrated gains in major technology companies. Insurance Succession Adds Focus Leadership changes are not limited to the chief executive role. Berkshire has selected Gen Re Chairman Charlie Shamieh to succeed longtime insurance leader Ajit Jain, citing a Wall Street Journal report and people familiar with the matter. Shamieh has served as chairman of Gen Re since 2018 and previously held leadership roles at AIG. Jain, who joined Berkshire in 1986, has been central to the group’s reinsurance expansion and pricing of complex risks, including natural catastrophe coverage. The insurance division remains a core source of Berkshire’s financial strength. Its float supports investment activity, while underwriting results affect earnings. Abel also recently cautioned investors about competitive pressure in the insurance sector, according to Reuters. Dividends Debate Enters Story Berkshire has historically avoided regular dividends, preferring to reinvest capital or hold cash for better opportunities. Some market commentators now argue that the record balance may renew shareholder calls for payouts under Abel. That discussion reflects a wider question about Berkshire’s next phase. The company still owns major businesses across insurance, railroads, energy, industrial operations, retail, and consumer brands. It also holds large public market investments, including major technology exposure.
5 May 2026, 12:45
Cipher Digital miss Q1 revenue, says secured $200M credit facility

More on Cipher Mining Cipher Digital: From Bitcoin Miner To AI Landlord Cipher Digital's $9B Pivot To AI Infrastructure Is Still Undervalued Cipher Digital Inc. (CIFR) Cipher Mining Inc. Presents at Morgan Stanley Technology, Media & Telecom Conference 2026 Transcript Cipher Mining Q1 2026 Earnings Preview Why are top crypto stocks RIOT, BTDR, & CIFR under pressure?
5 May 2026, 11:24
Cipher Mining GAAP EPS of -$0.28 misses by $0.02, revenue of $34.84M misses by $1.65M

More on Cipher Mining Cipher Digital: From Bitcoin Miner To AI Landlord Cipher Digital's $9B Pivot To AI Infrastructure Is Still Undervalued Cipher Digital Inc. (CIFR) Cipher Mining Inc. Presents at Morgan Stanley Technology, Media & Telecom Conference 2026 Transcript Cipher Mining Q1 2026 Earnings Preview Why are top crypto stocks RIOT, BTDR, & CIFR under pressure?
5 May 2026, 00:18
Crypto scammers weaponize Telegram Mini Apps for fake platforms

FEMITBOT, a large-scale scam network, is using Telegram’s Mini App feature to run fake crypto platforms, impersonate well-known brands, and send out harmful Android malware. According to CTM360, a cybersecurity firm, the scam operation uses Telegram bots and embedded Mini Apps to create phishing interfaces that load directly in Telegram’s built-in browser. The scam pages look more realistic than a regular phishing link sent by email or SMS because the victims never leave the messaging app. FEMITBOT uses Telegram to find victims Telegram Mini Apps are small web apps that work inside Telegram’s own WebView. They let users make payments, access accounts, and use interactive tools without having to install a separate app or browser. The people who run FEMITBOT have turned this ease of use into a weapon. When a victim clicks “Start” on one of the fake bots, a Mini App opens, displaying a phishing page that appears to be a crypto investment dashboard. The pages show fake account balances and earnings, and they often have countdown timers or limited-time offers that are meant to make people feel like they need to act quickly. The financial extraction takes place during the withdrawal process. People who try to cash out their fake winnings are told they have to first deposit real money or do referral tasks. This is a common way for advance-fee and pig-butchering scams to work. FEMITBOT impersonates brands at scale Security researchers call the architecture of FEMITBOT a “modular, template-driven” one. The shared backend lets operators change the branding, languages, and visual themes of campaigns while keeping the same infrastructure. Researchers at CTM360 confirmed the link by finding a common API response string, “Welcome to join the FEMITBOT platform,” that was sent back by several phishing domains. Some of the fake brands were from the crypto world, including Bitget , OKX, Binance, and MoonPay. The wide range of impersonation suggests that the operation is meant to reach a lot of people worldwide. The campaigns also use tracking that is similar to advertising. “The observed infrastructure integrates conversion tracking mechanisms from Meta Platforms(Facebook/Instagram) and TikTok within its operations,” wrote researchers from CTM360. Some FEMITBOT Mini Apps use Meta and TikTok tracking pixels to keep an eye on what users do, figure out how many people convert, and improve the performance of their campaigns, using techniques straight from real digital marketing. Scammers distribute malware through fake APKs Some FEMITBOT Mini Apps not only commit financial fraud, but they also spread Android malware that looks like real apps. Security researchers found APK files that pretended to be from brands like Netflix, BBC, NVIDIA , CineTV, Coreweave, and Claro. The firm said that the APK files are hosted on the same domain as the campaign’s API. This makes sure that the TLS certificates are valid and keeps browser security warnings from showing up, which could alert victims. Users are asked to sideload the APK files, open links in the app’s browser, or install progressive web apps that look like real software. Examples of malicious APK files. Source: CTM350. FEMITBOT’s malware component is most dangerous for people who use Android. One of the most common ways for mobile malware to get onto your phone is by sideloading APK files from outside the Google Play Store. FEMITBOT’s use of matching TLS certificates makes its downloads harder to tell apart from real files at a glance. If a Telegram bot tells users to invest in crypto, shows unrealistic returns, or requires them to deposit money before they can withdraw funds, they should be suspicious. Countdown timers, urgency language, and referral requirements are all signs of advance-fee fraud. The smartest crypto minds already read our newsletter. Want in? Join them .
4 May 2026, 17:10
David Sacks says AI boom is helping drive U.S. growth

David Sacks, former White House AI & Crypto Czar, recently stated that AI has become a core driver of economic growth in the United States. His opinion is that stopping progress with AI would be akin to bringing the U.S. economy to a screeching halt. This Sunday, David Sacks posted on X to state his opinion on a recent report issued by Morgan Stanley . This report focused on investment forecasts for the top five hyperscalers in the U.S. (Amazon, Alphabet, Meta, Microsoft, and Oracle) for this year and next. It raised combined capex forecasts from $805 billion USD in 2026 to $1.1 trillion in 2027. For reference, the expected $805 billion in spending for 2026 would be roughly double the same expenditures for the previous year. This unprecedented level of spending may seem absurd to the average person, but Sacks sees it differently. To him, it is an indicator that stopping or slowing down the progress with AI investment and development would be detrimental to the U.S. economy. Despite polls referenced by Sacks which show AI to be unpopular among the masses, he believes the potential of this technology for economic growth holds much greater weight. Why is AI investment so important to U.S. economic growth? According to David Sacks , this new report by Morgan Stanley shows that AI capex will be a 2.5% tailwind to GDP growth this year, and over 3% for 2027. However, it is important to note that this report only covers the top five hyperscalers; it does not include all the companies currently investing in AI, nor the multitude of AI startups. This means the economic impact of AI growth and investment could have a much larger impact on GDP growth than these numbers suggest. The rationale behind this idea is simply that capex only refers to the investment in the infrastructure that AI programs need to operate (i.e. data centers). It does not take into consideration the value that will be generated by the usage of AI programs, systems, and applications in the economy via productivity gains. Sacks stated in his post on X , “The ROI on capex is likely to dwarf the capex itself, which is why investment continues to grow.” In furtherance of his perspective, Sacks went on to say that “in Q1,” (2026) “AI was already 75% of GDP growth.” The bet behind the AI boom Many proponents of the AI boom understandably share the same perspective as Sacks. There certainly is massive potential for the widespread adoption of AI to vastly improve productivity gains for the U.S. economy in never-before-seen ways. At the same time, just because this is possible does not mean it will look exactly as expected in implementation. Many critics of the recent AI boom liken it to the Dot-com bubble, where there was massive spending on infrastructure to support the new technologies of that era, but much of it did not translate into the returns that were promised. That said, there is great concern that major tech companies are overbuilding in anticipation of a demand that has not taken shape yet. It is worth noting that just because AI can increase productivity does not mean companies will rapidly integrate it or that workers will immediately adapt. Furthermore, AI datacenters consume a massive amount of energy, which creates an additional constraint on how fast the anticipated ROI can materialize. Lastly, since much of the current investment in AI is concentrated amongst five tech giants, it raises an important question: will the economic benefits of this technology be widely distributed or remain in the hands of the few in control of it? Unfortunately, this can only be answered with time. If you're reading this, you’re already ahead. Stay there with our newsletter .
















































