ShiftProof AI @ShiftProofAI

PROMPT — Investment Opportunity Analysis Tool: Claude Task: Analyze target companies or investment opportunities. You are a senior investment banker analyzing an acquisition for committee review. STRUCTURE: EXECUTIVE SUMMARY - Investment thesis, valuation range, key risks FINANCIAL OVERVIEW - Revenue, EBITDA, margins, leverage, multiples INVESTMENT THESIS - Strategic rationale, synergies, market position VALUATION - Comps, DCF, precedent transactions, offer range RISKS AND MITIGANTS - Market, execution, financial risks DEAL STRUCTURE - Earnout, buyer protections, funding, timeline NEXT STEPS - Due diligence, meetings, regulatory, timeline Paste your TARGET COMPANY DATA, DEAL CONSTRAINTS. Saves 4-6h per deal screen on financial analysis. Full 5-criteria analysis, 4 additional prompts, and career horizon: shiftproof-ai.beehiiv.com/p/investment-b…

Investment Banker: 🔴 7.2/10 on the ShiftProof AI Transformation Index. 86% of their tasks carry measurable AI usage. Only five show zero: negotiating deals, building relationships, presenting to prospects, relaying orders, and interviewing clients. Goldman projects AI spending at $527B in 2026. JPMorgan: 6% productivity gains, operations projecting 40-50%. Morgan Stanley's AI tool hit 98% adoption. Top bankers save 20+ hours per deal cycle. 🔴 What's threatened: - 🔴 Write or sign sales order confirmation forms - 🟠 Analyze target companies and investment opportunities - 🟠 Explain stock market terms and trading practices - 🟠 Offer advice on purchase or sale of securities - 🟡 Calculate costs for billings or commissions - 🟡 Estimate financial consequences of securities transactions - 🟡 Provide current information about securities and market conditions - 🟡 Write articles, research reports, or newsletters - 🟡 Contact prospective clients to assess financial needs - 🟡 Develop financial plans or investment strategies 🟢 What resists: - Relay buy/sell orders to exchanges - Make presentations to attract new clients - Negotiate prices or terms of sales agreements - Build relationships with clients - Interview clients to determine financial objectives Tools in production: 1. A​lphaSense — financial data + broker research automation (Enterprise) 2. GS AI Assistant — internal Goldman deal analysis tool (Internal) 3. P​itchBook — AI-driven deal sourcing + target identification (Enterprise) Verdict: Disruption. 5 resistant tasks out of 49. Thinnest human-advantage layer in banking. One tested AI prompt for investment bankers — in the reply. #ShiftProof #AI

PROMPT — Month-End Close Summary Tool: Claude Task: Report to management regarding finances and budget expenditures. You are a senior accountant preparing a variance analysis for management review. FORMAT: FINANCIAL SUMMARY - Month-end balance by major GL account - 3-5 key variance highlights - Bottom-line impact statement VARIANCE ANALYSIS (each material variance >10%): - Account and amount - Variance % current vs. budget - Root cause - Management implication ADJUSTMENTS - Manual journal entries - Timing differences - One-time items FORECAST IMPACT - Month-end forecast vs. annual budget - Risks and opportunities Paste your GL DATA, BUDGET, CLOSE NOTES. Saves 2-4h per month on close analysis. Full 5-criteria analysis, 4 additional prompts, and career horizon: shiftproof-ai.beehiiv.com/p/accountant-c…

Accountant/CPA: 🔴 7.0/10 on the ShiftProof AI Transformation Index. 69% of their tasks carry measurable AI usage. 5 show zero automation. AI tools automate filing and recording. Computer vision processes receipts. Automated platforms handle month-end close in a fraction of the time. The Big Four invested $10B+ in AI since 2023. 🔴 What's threatened: - 🔴 Direct activities in filing and recording financial records - 🟠 Report to management on finances - 🟠 Report on asset utilization and audit results - 🟠 Advise clients on compensation, benefits, systems - 🟡 Represent clients before tax authorities (preliminary) - 🟡 Plan and organize subordinate work - 🟡 Develop, maintain, audit organizational budgets - 🟡 Prepare forms to authorize facility changes - 🟡 Compute taxes owed and prepare returns (routine) - 🟡 Appraise and evaluate real property 🟢 What resists: - Compute taxes and prepare returns (complex judgment) - Maintain government agency records (interpretation) - Advise on complex tax planning (strategy) - Represent clients in tax litigation - Survey operations to ascertain needs Tools in production: 1. D​ualEntry — rule-based AP automation across clients ($199-499/mo) 2. D​igits — receipt-to-expense AI processing (Enterprise) 3. B​otkeeper — automated month-end close (Enterprise) Verdict: Disruption. The entry gate narrows. 5 resistant tasks anchor the profession's judgment core. One tested AI prompt for accountants — in the reply. #ShiftProof #AI

PROMPT — Post-Edit Neural Machine Translation Tool: Claude (or any LLM with 4K+ context) Task: Proofread, edit, revise translated materials. You are a professional translator post-editing a machine translation draft. EDITING FRAMEWORK: 1. CRITICAL ERRORS - Error location, what's wrong, correction 2. TERMINOLOGY - Source term / MT translation / corrected term 3. STYLE AND TONE - Formality level, natural phrasing - 3-5 specific improvements 4. CULTURAL ADAPTATION - Idioms, dates, measurements, sensitivities 5. FINAL EDITED TRANSLATION - Publication-ready output Rules: only edit what MT got wrong. Mark edits with [EDIT] tags. Paste your MT DRAFT, SOURCE TEXT, STYLE GUIDE. Cuts post-editing time by 50%. Full 5-criteria analysis, 4 additional prompts, and career horizon: shiftproof-ai.beehiiv.com/p/translator-7…

Translator: 🔴 7.4/10 on the ShiftProof AI Transformation Index. 50.9% of the job is already exposed to AI automation. Not 5%. Not 15%. Fifty percent. Neural MT and CAT platforms now handle the baseline. The job isn't disappearing. It's bifurcating: commodity translation (90%+ AI) vs. creative translation (80-90% human, 2-3x premium). 🔴 What's threatened: - 🔴 Read and rewrite material into specified languages (50.9% AEI) - 🟠 Proofread and revise translated materials - 🟠 Check original texts to ensure meaning retained - 🟠 Refer to reference materials for accuracy - 🟡 Translate using specialized knowledge - 🟡 Prepare written materials in other languages - 🟡 Adapt translations to content changes 🟢 What resists: - Real-time interpretation - Educate staff about interpreter/translator roles Tools in production: 1. D​eepL Pro — neural MT for 33 languages ($7.99/mo) 2. S​DL Trados Studio — enterprise TM + neural MT ($2,190/yr) 3. S​martcat — MT + workflow automation ($99-599/mo) Verdict: Disruption. 72% of translators now use AI/MT tools (up from 34% in 2020). 68% report rate declines from commoditization. One tested AI prompt for translators — in the reply. #ShiftProof #AI

The career question for finance professionals: Which 40-50% of your current work is routine execution? Which 50-60% requires judgment that AI supports but can't replace? The first category is compressing. The second is expanding. Map your work across both. That's the starting point for positioning yourself in the next 18 months. Full analysis in this week's deep dive: shiftproof-ai.beehiiv.com/p/shiftproof-a…

Deep Dive: Finance & Accounting x AI 98% of accountants adopted AI. 60% of finance teams piloting it. Only 7% of CFOs report strong ROI. The gap is not about tools. It's about governance, training, and role redesign. Finance is being rewritten → 3 transformations hitting the function simultaneously: 1. Entry-level compression. Junior bankers handle 2-3x deal volume with AI tools. Junior accountants spend less time on reconciliation, more on exception analysis. Career advancement accelerates for those building advisory depth. 2. The adoption-ROI disconnect. Firms treating AI as "download and run" see minimal impact. Those investing in governance frameworks, integration infrastructure, and team training pull ahead by 2-3 years. 3. Role bifurcation. Execution-focused work compresses. Planning, advisory, and AI governance capabilities command premium positioning. The window for deliberate career transition is 18-24 months. Roles most exposed: - Accountant/CPA: 7.0/10 🔴 - Investment Banker: 7.2/10 🔴 Tools reshaping the sector: - D​ualEntry ($199-499/mo) — automated AP workflows across clients - A​lphaSense (Enterprise) — financial data + broker research automation - D​igits (Enterprise) — receipt-to-expense AI processing One tested prompt for finance professionals — in the reply. #ShiftProof #AI #Finance

PROMPT - Advertising Copy Rewrite Tool: Claude Task: Write advertising copy for publication, broadcast, and internet. You are a senior copywriter generating multiple variations for different media formats. From the product brief, generate 3 variations for EACH medium: FORMAT PER VARIATION: - Variation approach/angle - Medium (email / social / ad / landing page) - Full copy text - Supporting angle (psychology) - Call-to-action RULES: - Different emotional hook per variation - Keep within medium constraints - Flag [BRAND MISMATCH] if contradicts guidelines Paste your BRAND VOICE GUIDELINES, PRODUCT BRIEF, TARGET AUDIENCE. Saves 2-4h per campaign on copy iteration. Where would you score your copywriting role? Full 5-criteria analysis, 4 additional prompts, and career horizon: shiftproof-ai.beehiiv.com/p/copywriter-7…

Copywriter: 🔴 7.5/10 on the ShiftProof AI Transformation Index. 92% of their O*NET tasks carry measurable AI usage. Only one shows zero: consulting with sales and marketing on strategy and style. AI writing tools now generate full ad copy from briefs in minutes. The commodity layer collapses. The scarcity is insight. 🔴 What's threatened: - 🔴 Edit or rewrite existing copy - 🟠 Write advertising copy for publication, broadcast, and internet - 🟠 Vary language and tone based on product and medium - 🟡 Write articles, bulletins, sales letters, and speeches - 🟡 Write to customers in their own terms - 🟡 Proofread and correct copy - 🟡 Develop copy for advertising material - 🟡 Prepare promotional material and direct mail content 🟢 What resists: - Consult with sales, media, and marketing representatives to obtain information on product or service and discuss style and length of advertising copy Tools in production: 1. J​asper AI — ad copy + multi-channel generation ($39-125/mo) 2. W​riter.com — brand-compliant copy with Brand Kit ($18-200/mo) 3. C​opy.ai — template-driven variations for agencies ($49-500/mo) Verdict: Disruption. Strategic insight is not copy generation. The 1 resistant task is pure relationship. One tested AI prompt for copywriters — in the reply. #ShiftProof #AI

Prompt — Strategy Recommendation Memo Tool: Claude Task: Document findings and prepare recommendations for implementation of new systems, procedures, or organizational changes. You are a senior management consultant writing a recommendation memo for a partner review. Structure the following analysis into a McKinsey-style recommendation memo. FORMAT: EXECUTIVE SUMMARY - Situation (2-3 sentences) - Complication (the core problem) - Resolution (your recommendation) KEY FINDINGS For each finding: - Finding statement (bold, one line) - Supporting evidence (2-3 bullets with data) - Implication for client RECOMMENDATIONS (prioritized) For each: - Recommendation (actionable statement) - Expected impact (quantified) - Implementation timeline - Required resources - Key risks and mitigations IMPLEMENTATION ROADMAP - Phase 1 (Quick wins, 0-3 months) - Phase 2 (Foundation, 3-6 months) - Phase 3 (Scale, 6-12 months) Rules: Use the client's actual data. Flag [TO COMPLETE] for gaps. Flag ⚠️ for inconsistencies. Consulting tone: precise, confident, action-oriented. CLIENT CONTEXT: [paste here] ANALYSIS NOTES: [paste findings] CONSTRAINTS: [paste here] Saves 3-5h per engagement. 4 more tested prompts: shiftproof-ai.beehiiv.com/p/management-c…

Management Consultant: 🔴 7.4/10 on the ShiftProof AI Transformation Index. 91% of their O*NET tasks carry measurable AI usage. Only one task shows zero: on-site interviews and observation. McKinsey's Lilli serves 72% of 40,000 employees. BCG's Deckster handles 80% of junior analyst work. The Big Four and MBB collectively invested $10B+ in AI since 2023. The pyramid is inverting. 🔴 What's threatened: - 🔴 Document findings and prepare implementation recommendations - 🟠 Confer with personnel on newly implemented systems - 🟠 Analyze data gathered and develop solutions - 🟠 Design, evaluate, and approve changes of forms and reports - 🟡 Plan study of work problems and procedures - 🟡 Gather and organize information on problems or procedures - 🟡 Develop and implement records management programs - 🟡 Prepare manuals and train workers in use of new procedures - 🟡 Review forms and reports, confer with management about improvements - 🟡 Recommend purchase of storage equipment and design area layout 🟢 What resists: - Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used Tools in production: 1. StratEngineAI — strategy frameworks + Slides export ($49/mo) 2. Microsoft 365 Copilot — data analysis + insight synthesis ($30/user/mo) 3. Perplexity AI — real-time research with source citations (Pro $20/mo) Verdict: Disruption. 1 resistant task out of 11. Thinnest human-advantage layer we've scored. One tested AI prompt for management consultants — in the reply. #ShiftProof #AI

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One prompt to try this week: I'm a [YOUR ROLE] working on [PROCESS]. Here's how I do it today: 1. [Step 1] 2. [Step 2] 3. [Step 3] For each step: - Which could be eliminated if we rearchitected? - Which require human judgment? - How would an agentic system handle this? Give me a redesigned workflow assuming AI can read inputs, run simulations, and present multiple scenarios. What would I actually need to do? Paste this into Claude or ChatGPT. You'll get a sketch of what your workflow should look like post-inflection. Full briefing:shiftproof-ai.beehiiv.com/p/weekly-ai-br…

# AI Briefing - Week of April 28, 2026 Google just committed $40B to Anthropic. Meta is cutting 8,000 roles. Agentic AI moved from pilot to live production across legal, manufacturing, and biotech. This is the operating-model inflection point. 8 sectors, one signal → This week in brief: 🏥 Healthcare: hospital AI adoption high, transparency regulations lagging ⚖️ Legal: agentic workflows on M&A and due diligence. Not pilots. Live deals. 💰 Finance: 98% accountant adoption, 60% teams piloting, only 7% CFOs see ROI 🏭 Manufacturing: Siemens Eigen Engineering Agent for factory automation design 💊 Biotech: Isomorphic Labs first AI-designed drug into Phase 1 human trials 📝 Marketing: real-time adaptive content replacing static campaigns 💼 Consulting: McKinsey, BCG, Bain all deploying AI into client engagements 🖥️ Tech: DeepSeek V4 open-source, million-token context. Inference costs dropping. Roles in motion this week: - 🟠 Lawyer (5.7/10) - 🟠 Radiologist (5.1/10) - 🟠 Mechanical Engineer (6.2/10) - 🔴 Management Consultant (7.4/10) - 🔴 Copywriter (7.5/10) - 🔴 Translator (7.4/10) - 🔴 Accountant/CPA (7.0/10) - 🔴 Investment Banker (7.2/10) Early signal: Google's $40B Anthropic investment is the largest hyperscaler AI bet to date. Combined with open-source catching up, inference costs are falling. LLMs are becoming infrastructure, not competitive advantage. One prompt in reply. #ShiftProof #AI #FutureOfWork

Free Prompt: Structured Radiology Report Drafting You are a senior radiologist drafting a structured diagnostic radiology report following ACR guidelines and RadLex terminology. From the imaging findings, patient context, and applicable standards below, generate a structured report with: INDICATION, TECHNIQUE, FINDINGS (by anatomic region with measurements), IMPRESSION (with appropriate standard: BI-RADS, Lung-RADS, TI-RADS), and DIFFERENTIAL DIAGNOSIS (ranked by likelihood). Structure FINDINGS by region using RadLex terms (e.g., "ground-glass opacity," "hypodense lesion"). Include measurements and quantify extent. For IMPRESSION: Mammography: BI-RADS category (0-6) Lung CT: Lung-RADS category (1-4) Thyroid: TI-RADS category (1-5) Generic: ACR format (finding + significance + recommendation) Do not invent findings. Flag [NOT REVIEWED] for unevaluated regions. Flag for conflicting findings or insufficient clinical history. [INSERT FINDINGS SUMMARY, PATIENT CONTEXT, APPLICABLE STANDARDS] Use case: Post-interpretation structuring. Saves 8-15 min. Radiologist review: 5-10 min. Full scorecard + 4 more prompts → shiftproof-ai.beehiiv.com/p/radiologist-…

Radiologists are becoming diagnosticians-plus-supervisors. The tools ship today. Rad AI structures reports in 2 minutes. Aidoc flags critical findings automatically. Viz.ai routes cases in real time. Radiologist: 🟠 5.1/10 on the ShiftProof AI Transformation Index. The aspiration: radiologists shift from volume interpretation to judgment adjudication. Report drafting, worklist triage, equipment selection—all accelerated by AI. But the hard floor: FDA law assigns diagnosis to the radiologist. Autonomous diagnosis doesn't exist. Vendors aren't chasing it. The velocity is extreme. 25–30% of all FDA medical AI clearances are radiology. Rad AI, Aidoc, Viz.ai—450+ hospitals, Series D funding, all expanding. Yet the regulatory ceiling holds. 🔴 Threatened: - 🔴 Report preparation (AI drafts, radiologist refines) - 🟠 Equipment analysis (AI models capacity) - 🟠 QA protocol development (AI structures frameworks) - 🔴 Worklist triage (AI flags critical findings) - 🔴 Differential frameworks (AI organizes possibilities) - 🟠 Treatment planning (AI structures tumor board cases) - 🟡 Continuing education (AI curates learning materials) 🟢 Resists: - Patient history gathering (clinical interview) - Staff instruction (hands-on teaching) - Clinical correlation (radiologist-to-clinician dialogue) - Department operations (coordination and oversight) - Safety standards (compliance authority) - Complication management (real-time judgment) - Contrast administration (hands-on patient care) Tools in production: 1. Rad AI — Structured report drafting, 50+ hospitals (enterprise pricing) 2. Aidoc — Critical finding alerts, 200+ hospitals (enterprise pricing) 3. Viz.ai — PACS/RIS integration, 250+ sites (enterprise pricing) Verdict: Transformation, not replacement. FDA requires radiologist review on every decision. AI is the accelerant. One tested prompt in the reply. Full scorecard with 4 more prompts—ready to copy-paste—at shiftproof-ai.beehiiv.com #ShiftProof #AI #Radiology #MedicalAI #HealthcareTech

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Ha, the pattern repeats. And the data backs you up: we scored Lawyer/Attorney at 5.7/10 and the split is wild. Research, contracts, due diligence all moving fast toward AI-first workflows. But cross-examination, jury selection, trial strategy? Zero AI usage, zero trajectory. Bar ethics and malpractice liability lock it down. Same resistance pattern, different century. x.com/ShiftProofAI/s…

ShiftProof AI @ShiftProofAI

5 months ago

The courtroom and the law library are evolving at different speeds. Lawyer/Attorney: 🟠 5.7/10 on the ShiftProof AI Transformation Index. The split is stark. 64% of tasks show measurable AI exposure: legal research, contracts, due diligence, document drafting, compliance

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Harvey is one of the three tools driving the numbers. We just scored Lawyer/Attorney at 5.7/10 on our AI Transformation Index. 64% of tasks show real AI exposure, but courtroom work sits at zero. The governance model, not the tech, is what sets the ceiling. Full task-by-task breakdown here: x.com/ShiftProofAI/s…

ShiftProof AI @ShiftProofAI

5 months ago

The courtroom and the law library are evolving at different speeds. Lawyer/Attorney: 🟠 5.7/10 on the ShiftProof AI Transformation Index. The split is stark. 64% of tasks show measurable AI exposure: legal research, contracts, due diligence, document drafting, compliance

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Copy this prompt for your next legal research memo: You are a senior attorney writing a legal research memo following IRAC (Issue, Rule, Application, Conclusion) and Bluebook citation. From the client scenario and jurisdiction below, generate a structured analysis: 1. ISSUE — Clearly state the legal question(s) 2. RULE — Primary source (statute/regulation with citation), case law, jurisdictional variations, recent changes 3. APPLICATION — Match facts to rule, identify ambiguities, flag countervailing authority, mark [ATTORNEY REVIEW NEEDED] for sensitive areas 4. CONCLUSION — Direct answer, caveats, next steps Citation format example (Bluebook): 42 U.S.C. § 1983 (2022) | Smith v. Jones, 123 F.3d 456 (9th Cir. 2020) [CLIENT SCENARIO]: [INSERT FACTS AND QUESTION] [JURISDICTION]: [INSERT STATE/FEDERAL/REGULATORY BODY] [STATUTE/REGULATION]: [INSERT TITLE, SECTION, OR "RESEARCH AREA" IF UNKNOWN] Flag case law >10 years as [RECENCY CHECK]. DO NOT provide legal advice. DO NOT predict outcomes. Result: Structured legal memo, fully cited, ready for attorney review. Saves 3-6 hours. Full scorecard + 4 more prompts → shiftproof-ai.beehiiv.com/p/lawyer-attor…

The courtroom and the law library are evolving at different speeds. Lawyer/Attorney: 🟠 5.7/10 on the ShiftProof AI Transformation Index. The split is stark. 64% of tasks show measurable AI exposure: legal research, contracts, due diligence, document drafting, compliance analysis. All leaning toward AI-first workflows. Harvey AI ($100M Series C) partners with Allen & Overy and Paul Hastings. CoCounsel is now built into Westlaw. Luminance serves 700+ customers on contract automation. But cross-examination? Settlement negotiation? Client representation in court? Zero AI usage. Zero trajectory. Why? Bar ethics rules mandate human gatekeeping. Malpractice liability frameworks enforce it. Client confidentiality requirements cement it. No autonomous system can represent a client, even if the technology existed. The profession's governance model—not technical maturity—sets the ceiling. Structural augmentation, not replacement. 🔴 What's threatened: - 🔴 Administrative and management functions - 🔴 Interpret laws and regulations - 🟠 Advise on business transactions and liability - 🟠 Prepare legal briefs and documents - 🟠 Draft contracts, wills, deeds, patent applications - 🔴 Study statutes, regulations, case law - 🟡 Confer with specialists - 🟡 Research and analyze documents 🟢 What resists: - Present evidence in court - Select jurors, argue motions, question witnesses - Present cases to judges and juries - Interview clients and witnesses - Negotiate settlements - Represent clients in court - Develop trial strategy - Supervise legal staff Tools in production: 1. Harvey AI — Legal reasoning engine, enterprise pricing. 2. Thomson Reuters CoCounsel — Research integrated into Westlaw. 3. Luminance — Contract analysis and due diligence. The play: Junior associates move up the stack faster. Partners who leverage AI close deals with higher margins. Firms ignoring these tools lose competitive advantage. Solo practitioners and small firms close the research-cost gap. Bar association guidance is catching up. Malpractice insurance is evolving. Ethics rules will clarify. But human gatekeeping is structural. Transformation, not replacement. One tested AI prompt for lawyers—ready to use—in the reply. #ShiftProof #AI #LegalTech #FutureOfWork