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Understanding the Crypto Alt Season
Dinarian888
August 02, 2025
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The next altcoin season is poised to ignite the crypto market, promising to turn savvy investors' portfolios into goldmines. As Bitcoin's dominance wanes, a new era of blockchain innovation is dawning—are you ready to ride the wave?

Market behavior often exhibits distinct patterns and cycles. One such phenomenon that has captured the attention of traders and investors alike is the "Alt Season"—a period when alternative cryptocurrencies, or "altcoins," outperform Bitcoin and experience significant price surges.

The concept of market cycles and seasonality is not unique to crypto; it's a well-established principle in traditional financial markets. However, in volatile crypto space, these cycles can be more pronounced and occur with greater frequency.  

In this article, we’ll try to cover these and other topics: 

  1. The nature and characteristics of Alt Seasons
  2. The importance of recognizing market cycles in cryptocurrency trading
  3. Alt Season indicators and how to interpret them
  4. Predictions and speculatins about the next potential Alt Season

What Is Crypto Alt Season?

Crypto Alt Season, short for "Alternative Cryptocurrency Season," refers to a period in the cryptocurrency market when alternative cryptocurrencies (altcoins) significantly outperform Bitcoin in terms of price appreciation. During an Alt Season:

  1. Many altcoins experience rapid price increases.
  2. The market share of altcoins grows relative to Bitcoin.
  3. Trading volume for altcoins typically increases.
  4. Investor attention shifts from Bitcoin to various altcoin projects.

An Alt Season can last anywhere from a few weeks to several months. It's often characterized by increased risk appetite among investors, who are willing to allocate more capital to smaller, potentially higher-risk crypto projects in search of higher returns.

Is Crypto Season the Same As Crypto Alt Season?

While related, Crypto Season and Crypto Alt Season are not exactly the same:

  1. Crypto Season:
    • Refers to a broader bullish period in the entire cryptocurrency market.
    • Typically includes price appreciation for both Bitcoin and altcoins.
    • Can be longer in duration, sometimes lasting for many months or even a year or more.
    • Often starts with a Bitcoin rally, followed by increased interest in the broader crypto market.
  2. Crypto Alt Season:
    • Specifically focuses on the outperformance of altcoins compared to Bitcoin.
    • Can occur within a broader Crypto Season but is more narrowly defined.
    • Generally shorter in duration than a full Crypto Season.
    • May happen towards the latter part of a broader Crypto Season, as investors seek higher returns in smaller cap coins.

Key Differences:

  • Scope: Crypto Season encompasses the entire market, while Alt Season focuses on altcoins.
  • Duration: Crypto Seasons are generally longer than Alt Seasons.
  • Market Dynamics: In a Crypto Season, Bitcoin often leads the rally, while in an Alt Season, altcoins outperform Bitcoin.

It's important to note that these terms are not officially defined and can be subject to different interpretations within the cryptocurrency community. However, understanding the distinction can help investors and traders better analyze market trends and potential opportunities in different segments of the crypto market.

What Is Alt Season Indicator?

The Alt Season Indicator is a tool used by cryptocurrency traders and investors to gauge whether the market is entering or currently in an "Alt Season" — a period when altcoins are outperforming Bitcoin. While there isn't a single, universally accepted Alt Season Indicator, several metrics and tools are commonly used to assess the likelihood of an Alt Season. Here are some key aspects of Alt Season Indicators:

Bitcoin Dominance

One of the most widely used indicators is Bitcoin Dominance, which measures Bitcoin's market capitalization as a percentage of the total cryptocurrency market cap.

  • Calculation: (Bitcoin Market Cap / Total Crypto Market Cap) * 100
  • Interpretation: A declining Bitcoin Dominance often signals a potential Alt Season, as it indicates that capital is flowing from Bitcoin into altcoins.
  • Threshold: Some traders consider Bitcoin Dominance below 50% as a potential indicator of an Alt Season.

Altcoin Market Cap Ratio

This indicator compares the total market capitalization of altcoins to Bitcoin's market cap.

  • Calculation: Total Altcoin Market Cap / Bitcoin Market Cap
  • Interpretation: An increasing ratio suggests growing strength in the altcoin market relative to Bitcoin.

Top 10 Altcoins Performance

This indicator tracks the performance of the top 10 altcoins by market cap (excluding Bitcoin) compared to Bitcoin over a specific period.

  • Calculation: Average percentage gain of top 10 altcoins vs. Bitcoin's percentage gain
  • Interpretation: When a majority of top altcoins consistently outperform Bitcoin, it may indicate an Alt Season.

Alt Season Index

Some crypto data platforms offer a proprietary Alt Season Index, which combines various metrics to provide a single score indicating the likelihood of an Alt Season.

  • Scale: Often presented as a percentage or a 0-100 score
  • Interpretation: Higher scores (e.g., above 75%) suggest a higher probability of an ongoing Alt Season

Trading Volume Ratios

This indicator compares the trading volumes of altcoins to Bitcoin's trading volume.

  • Calculation: Total Altcoin Trading Volume / Bitcoin Trading Volume
  • Interpretation: An increase in this ratio may indicate growing interest in altcoins, potentially signaling an Alt Season.

Important Considerations:

  1. No single indicator is foolproof. Traders often use a combination of indicators for a more comprehensive analysis.
  2. Market conditions can change rapidly, and past patterns don't guarantee future results.
  3. Different traders may use different thresholds or interpretations of these indicators.
  4. The crypto market's evolving nature means that indicators may need to be adjusted over time to remain relevant.

Understanding and effectively using Alt Season Indicators can help traders and investors make more informed decisions about allocating their resources between Bitcoin and altcoins. However, it's crucial to combine these indicators with broader market analysis and risk management strategies.

Alt Seasons: Historical Perspective, Current Situation, and Future Predictions

Previous Altcoin Seasons

In crypto, two periods stand out as particularly significant for altcoins. These "alt seasons" saw unprecedented growth and interest in cryptocurrencies beyond Bitcoin, reshaping the landscape of digital assets.

The 2017-2018 Alt Season

Duration: December 2017 to January 2018

Context:

  • Bitcoin (BTC) experienced its most remarkable bull run to date, reaching nearly $20,000 in December 2017.
  • This surge in Bitcoin's price and public interest created a ripple effect throughout the crypto market.

Key Developments:

  1. Proliferation of New Coins: The success of Bitcoin catalyzed the launch of numerous new cryptocurrencies.
  2. Investor Frenzy: Buoyed by Bitcoin's success, investors eagerly sought the "next Bitcoin," pouring capital into various altcoins.
  3. ICO Boom: This period saw a surge in Initial Coin Offerings (ICOs), with many projects raising millions in a matter of hours or days.
  4. Market Expansion: The total cryptocurrency market cap reached unprecedented levels, briefly surpassing $800 billion in January 2018.

Notable Altcoins: Ethereum (ETH), Ripple (XRP), and Litecoin (LTC) saw significant price increases during this period.

The 2020-2021 Alt Season

Duration: December 2020 to April 2021

Context:

  • Bitcoin broke its previous all-time high, surpassing $60,000 in March 2021.
  • The COVID-19 pandemic had accelerated digital adoption and increased interest in alternative investments.

Key Developments:

  1. DeFi Explosion: Decentralized Finance (DeFi) projects gained massive traction, with many tokens seeing exponential growth.
  2. NFT Boom: Non-Fungible Tokens (NFTs) entered the mainstream, driving interest in blockchain-based digital assets.
  3. Institutional Adoption: Major companies and institutional investors began adding cryptocurrencies to their balance sheets.
  4. Technological Advancements: Many altcoins introduced innovative features, scaling solutions, and use cases.

Notable Altcoins: Ethereum (ETH) reached new highs, while projects like Binance Coin (BNB), Cardano (ADA), and Polkadot (DOT) saw remarkable growth.

Comparative Analysis: Both alt seasons shared some common characteristics:

  • They were preceded by significant Bitcoin price rallies.
  • New projects and tokens gained rapid popularity and valuation.
  • Retail investor participation increased dramatically.
  • The overall cryptocurrency market capitalization reached new heights.

However, the 2020-2021 alt season was marked by greater institutional involvement and a broader range of technological innovations, particularly in DeFi and NFTs.

Is It Alt Season?

Based on the indicators discussed above, it's not currently an altcoin season. The Altcoin Season Index at 41 and Bitcoin's market dominance at 61.3% both suggest that Bitcoin is still the dominant force in the crypto market at this time.

When Is Alt Season?

Based on the information we could gather from various experts, we can analyze the predictions for the next altcoin season as follows:

  • Based on the latest analysis from experts and on-chain data, here’s what we know about the next altcoin season:

     

    Current Status (August 2025):

     

    • The altcoin season index—a metric that signals how many altcoins outperform Bitcoin—currently sits around 37. For a “full-blown” alt season, it typically needs to rise above 75.

    • Bitcoin dominance is approximately 61-62%. Historically, dropping below 60% often coincides with a rapid rotation into altcoins and the start of alt season.

     

    Key Indicators to Watch:

     

    • Altcoin Season Index (ASI): Above 75 signals a true altcoin season.

    • Bitcoin Dominance: A move below 60% usually marks the transition; sub-50% dominance is associated with peak alt season inflows.

    • Market Activity: Increasing volumes in major altcoins and Layer 1s, meme coin rallies, and spikes in DeFi activity are early warning signs.

    • Ethereum Outperformance: When ETH surges relative to BTC, this historically precedes broader altcoin rallies.

     

    Expert Predictions for 2025:

     

    • Analysts point to a pivotal window for alt season starting as early as August 2025 and extending through the fall, with many expecting true acceleration of altcoin gains if Bitcoin’s price consolidates and capital rotates further into alts.

    • There is strong consensus that macroeconomic catalysts, such as potential U.S. interest rate cuts and ongoing Bitcoin ETF momentum, could fuel a major altcoin rally in late 2025 if positive conditions persist.

    Summary Table: Key Factors & Targets

    SignalAlt Season TriggerStatus (Aug 2025)
    Altcoin Season Index (ASI)>75 ~37
    Bitcoin dominance<60% ~61–62% (near trigger)
    Altcoin trading volumeSustained surge across many alts Rising, but not explosive
    Ethereum outperformanceETH/ BTC breakout, >$3,700 Near, ETH ~$3,500
    Market narrativesAI, DeFi, meme coins, new L1 inflows Strengthening
     

    Bottom Line:
    Most analysts agree the groundwork for altcoin season in 2025 is building. We are currently in a transition phase: if Bitcoin dominance continues to fall and the Altcoin Season Index rises above 75, a full-fledged alt season could ignite during the second half of 2025. Monitor these key indicators to stay ahead as market momentum shifts from Bitcoin into a broader range of altltcoins.

Key Factors to Consider

  • Technology: Look for coins with innovative solutions to existing blockchain challenges.
  • Adoption: Consider projects with growing partnerships and real-world use cases.
  • Market Position: Established coins with room for growth may offer a balance of stability and potential returns.
  • Tokenomics: Understanding supply dynamics can help predict potential price movements.

It's crucial to conduct thorough research before investing. The cryptocurrency market is highly volatile, and past performance doesn't guarantee future results. Always invest responsibly and within your risk tolerance.

How to Win in Next Alt Season?

Capitalizing on the next altcoin season requires a strategic approach. Here's how to maximize potential gains:

  • Research and Diversification: Thoroughly research potential investments, analyzing both fundamentals and technical aspects to identify promising altcoins. Diversify your holdings across different projects to mitigate risk and maximize potential returns. Don't put all your eggs in one basket.
  • Strategic Timing: Utilize technical analysis tools like support/resistance levels and RSI to pinpoint optimal entry and exit points. Monitor market sentiment and price trends to make informed decisions. A clear entry and exit strategy is crucial for managing risk and maximizing profits during volatile periods.
  • Newer Projects: Consider participating in newer altcoin projects. This provides early access to potentially high-growth projects at discounted prices. Research upcoming defi projects with use cases, focusing on innovative projects with strong potential. Investing early can yield substantial returns as the project develops.

Conclusion

In summary, an altcoin season, marked by significant price increases in non-Bitcoin cryptocurrencies, may be on the horizon.  This potential surge could be driven by investors seeking higher returns in smaller-cap cryptocurrencies, technological advancements in altcoin projects, increased blockchain adoption, and the transition of projects from speculative ventures to real-world applications. 

Remember, while the potential for significant gains exists during an altcoin season, the cryptocurrency market remains highly volatile. Always invest responsibly.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
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Will these same companies end up controlling robotics too?
 
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The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
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That vision is beginning to emerge.
 
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The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
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Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
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Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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Dinarian888@dinarian888
August 09, 2026
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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

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  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

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Dinarian888@dinarian888
July 18, 2026
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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

A Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

A CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

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